| _ | biomass | _ |
| 3D Ground Penetrating Radar to Detect Tree Roots and Estimate Root | biomass | in the Field |
| Above ground | biomass | estimation in an African tropical forest with lidar and hyperspectral data |
| Above- and Belowground | biomass | Carbon Stock and Net Primary Productivity Maps for Tidal Herbaceous Marshes of the United States |
| Above-bottom | biomass | retrieval of aquatic plants with regression models and SfM data acquired by a UAV platform-A case study in Wild Duck Lake Wetland, Beijing, China |
| Above-ground | biomass | estimation and yield prediction in potato by using UAV-based RGB and hyperspectral imaging |
| Above-Ground | biomass | Estimation for Coniferous Forests in Northern China Using Regression Kriging and Landsat 9 Images |
| Above-Ground | biomass | Estimation of Plantation with Different Tree Species Using Airborne LiDAR and Hyperspectral Data |
| Above-Ground | biomass | Prediction for Croplands at a Sub-Meter Resolution Using UAV-LiDAR and Machine Learning Methods |
| Above-Ground | biomass | Retrieval over Tropical Forests: A Novel GNSS-R Approach with CyGNSS |
| Aboveground | biomass | Changes in Tropical Montane Forest of Northern Borneo Estimated Using Spaceborne and Airborne Digital Elevation Data |
| Aboveground | biomass | Dynamics of a Coastal Wetland Ecosystem Driven by Land Use/Land Cover Transformation |
| Aboveground | biomass | Estimation and Time Series Analyses in Mongolian Grasslands Utilizing PlanetScope Imagery |
| Aboveground | biomass | Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil |
| Aboveground | biomass | Estimation of Highland Barley in Qinghai-Tibet Plateau: Exploring the Advantages of Time Series Data and Terrain Effects |
| Aboveground | biomass | Estimation of Individual Trees in a Coastal Planted Forest Using Full-Waveform Airborne Laser Scanning Data |
| Aboveground | biomass | Inversion Based on Object-Oriented Classification and Pearson-mRMR-Machine Learning Model |
| Aboveground | biomass | Mapping in SemiArid Forests by Integrating Airborne LiDAR with Sentinel-1 and Sentinel-2 Time-Series Data |
| Aboveground | biomass | mapping of Canada with SAR and optical satellite observations aided by active learning |
| Aboveground | biomass | Mapping of Crops Supported by Improved CASA Model and Sentinel-2 Multispectral Imagery |
| Aboveground | biomass | Prediction of Arid Shrub-Dominated Community Based on Airborne LiDAR through Parametric and Nonparametric Methods |
| Aboveground Forest | biomass | Estimation by the Integration of TLS and ALOS PALSAR Data Using Machine Learning |
| Aboveground Forest | biomass | Estimation Combining L- and P-Band SAR Acquisitions |
| Aboveground Forest | biomass | Estimation Using Tent Mapping Atom Search Optimized Backpropagation Neural Network with Landsat 8 and Sentinel-1A Data |
| Aboveground total and green | biomass | of dryland shrub derived from terrestrial laser scanning |
| Aboveground Tree | biomass | Estimation of Sparse Subalpine Coniferous Forest with UAV Oblique Photography |
| Aboveground- | biomass | Estimation of a Complex Tropical Forest in India Using Lidar |
| Accounting for 10 m Resolution Mapping for Above-Ground | biomass | of Urban Trees in C40 Cities Across Eurasia Continent |
| Accurate Calculation of Upper | biomass | Volume of Single Trees Using Matrixial Representation of LiDAR Data |
| Active Remote Sensing Assessment of | biomass | Productivity and Canopy Structure of Short-Rotation Coppice American Sycamore (Platanus occidentalis L.) |
| Adapting the High-Resolution PlanetScope | biomass | Model to Low-Resolution VIIRS Imagery Using Spectral Harmonization: A Case of Grassland Monitoring in Mongolia |
| Adjusting Lidar-Derived Digital Terrain Models in Coastal Marshes Based on Estimated Aboveground | biomass | Density |
| Advancing Seaweed Cultivation: Integrating Physics Constraint in Machine Learning for Enhanced | biomass | Forecasting in IMTA Systems |
| Advantage of hyperspectral EO-1 Hyperion over multispectral IKONOS, GeoEye-1, WorldView-2, Landsat ETM+, and MODIS vegetation indices in crop | biomass | estimation |
| Advection of | biomass | Burning Aerosols towards the Southern Hemispheric Mid-Latitude Station of Punta Arenas as Observed with Multiwavelength Polarization Raman Lidar |
| Aerial Imagery Can Detect Nitrogen Fertilizer Effects on | biomass | and Stand Health of Miscanthus X giganteus |
| Airborne Lidar Estimation of Aboveground Forest | biomass | in the Absence of Field Inventory |
| Airborne LiDAR for the Detection of Archaeological Vegetation Marks Using | biomass | as a Proxy |
| Airborne Lidar Sampling Strategies to Enhance Forest Aboveground | biomass | Estimation from Landsat Imagery |
| Airborne LIDAR-Derived Aboveground | biomass | Estimates Using a Hierarchical Bayesian Approach |
| Airborne Light Detection and Ranging (LiDAR) for Individual Tree Stem Location, Height, and | biomass | Measurements |
| AIRS and MODIS Satellite-Based Assessment of Air Pollution in Southwestern China: Impact of Stratospheric Intrusions and Cross-Border Transport of | biomass | Burning |
| Analysis of Crop Reflectance for Estimating | biomass | in Rice Canopies at Different Phenological Stages |
| Analysis of the Regional Ionosphere at Low Latitudes in Support of the | biomass | ESA Mission |
| Analyzing the Uncertainty of | biomass | Estimates From L-Band Radar Backscatter Over the Harvard and Howland Forests |
| Analyzing the Uncertainty of Estimating Forest Aboveground | biomass | Using Optical Imagery and Spaceborne LiDAR |
| Application of Convolutional Neural Network on Lei Bamboo Above-Ground- | biomass | (AGB) Estimation Using Worldview-2 |
| Application of Synthetic NDVI Time Series Blended from Landsat and MODIS Data for Grassland | biomass | Estimation |
| Approaches of Satellite Remote Sensing for the Assessment of Above-Ground | biomass | across Tropical Forests: Pan-tropical to National Scales |
| Assessing Leaf | biomass | of Agave sisalana Using Sentinel-2 Vegetation Indices |
| Assessing Non-Photosynthetic Cropland | biomass | from Spaceborne Hyperspectral Imagery |
| Assessing Performance of L- and P-Band Polarimetric Interferometric SAR Data in Estimating Boreal Forest Above-Ground | biomass | |
| Assessing Spatial Variability of Barley Whole Crop | biomass | Yield and Leaf Area Index in Silvoarable Agroforestry Systems Using UAV-Borne Remote Sensing |
| Assessing the Accuracy of GEDI Data for Canopy Height and Aboveground | biomass | Estimates in Mediterranean Forests |
| Assessing the Impacts of Tidal Creeks on the Spatial Patterns of Coastal Salt Marsh Vegetation and Its Aboveground | biomass | |
| Assessing the Individual and Combined Contributions of Stand Age and Tree Height for Regional-Scale Aboveground | biomass | Estimation in Fast-Growing Plantations |
| Assessing the Predictive Power of Democratic Republic of Congo's National Spaceborne | biomass | Map over Independent Test Samples |
| Assessing the Spectral Information of Sentinel-1 and Sentinel-2 Satellites for Above-Ground | biomass | Retrieval of a Tropical Forest |
| Assessing the Utility of Satellite Embedding Features for | biomass | Prediction in Subtropical Forests with Machine Learning |
| Assessment of Forest above Ground | biomass | Estimation Using Multi-Temporal C-band Sentinel-1 and Polarimetric L-band PALSAR-2 Data |
| Assessment of Forest Above-Ground | biomass | Estimation from PolInSAR in the Presence of Temporal Decorrelation |
| Assessment of Forest | biomass | Estimation from Dry and Wet SAR Acquisitions Collected during the 2019 UAVSAR AM-PM Campaign in Southeastern United States |
| Assessment of the | biomass | Productivity Decline in the Lower Mekong Basin |
| Assessment of the Impact of Coastal Wetland Saltmarsh Vegetation Types on Aboveground | biomass | Inversion |
| Assessment of Vegetation Index Saturation Based on Vertically Stratified Aboveground | biomass | in Temperate Meadow Steppe |
| Bamboo Analysis, | biomass | , Bamboo Forest |
| Benchmarking the Retrieval of | biomass | in Boreal Forests Using P-Band SAR Backscatter with Multi-Temporal C- and L-Band Observations |
| biomass | and Crop Height Estimation of Different Crops Using UAV-Based Lidar |
| biomass | Burning Aerosol Observations and Transport over Northern and Central Argentina: A Case Study |
| biomass | Burning in Africa: An Investigation of Fire Radiative Power Missed by MODIS Using the 375 m VIIRS Active Fire Product |
| biomass | Burning in Northeast China over Two Decades: Temporal Trends and Geographic Patterns |
| biomass | Burning Plume from Simultaneous Observations of Polarization and Radiance at Different Viewing Directions with SGLI |
| biomass | Calculations of Individual Trees Based on Unmanned Aerial Vehicle Multispectral Imagery and Laser Scanning Combined with Terrestrial Laser Scanning in Complex Stands |
| biomass | Change Estimated by TanDEM-X Interferometry and GEDI in a Tanzanian Forest |
| biomass | Estimation and Saturation Value Determination Based on Multi-Source Remote Sensing Data |
| biomass | Estimation Based on the Fusion of ICESat GLAS and MODIS Data in the Chongming Eastern Tidal Flat of the Yangtze River |
| biomass | Estimation for Semiarid Vegetation and Mine Rehabilitation Using Worldview-3 and Sentinel-1 SAR Imagery |
| biomass | Estimation of a Temperate Deciduous Forest Using Wavelet Analysis |
| biomass | Estimation of Apple and Citrus Trees Using Terrestrial Laser Scanning and Drone-Mounted RGB Sensor |
| biomass | Estimation of Individual Trees Using Stem and Crown Diameter TLS Measurements |
| biomass | Estimation of Milk Vetch Using UAV Hyperspectral Imagery and Machine Learning |
| biomass | Estimation of Xerophytic Forests Using Visible Aerial Imagery: Contrasting Single-Tree and Area-Based Approaches |
| biomass | Estimation Using 3D Data from Unmanned Aerial Vehicle Imagery in a Tropical Woodland |
| biomass | Estimation Using Vertical Forest Structure From Sar Tomograghy: A Case Study In Canadian Boreal Forest. |
| biomass | Estimation with GNSS Reflectometry Using a Deep Learning Retrieval Model |
| biomass | estimation with high resolution satellite images: A case study of Quercus rotundifolia |
| biomass | Evaluations Pasture, Grassland, Rangeland, Savanna |
| biomass | Growth from Multi-Temporal TanDEM-X Interferometric Synthetic Aperture Radar Observations of a Boreal Forest Site |
| biomass | Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation, The |
| biomass | Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation, The |
| biomass | Measurements for Individual Trees |
| biomass | Measurements, Forest, LiDAR Techniques, Airborne Laser |
| biomass | Measurements, Forest, TanDEM-X, SAR, Radar Measurements |
| biomass | Measurements, Forest, Terrestial Laser Techniques, TLS |
| biomass | Prediction with 3D Point Clouds from LiDAR |
| biomass | Proxy: Unlocking Global Agricultural Monitoring through Fusion of Sentinel-1 and Sentinel-2, The |
| BioNet and NeFF: Crop | biomass | Prediction from Point Clouds to Drone Imagery |
| Broadacre Mapping of Wheat | biomass | Using Ground-Based LiDAR Technology |
| Can Machine Learning Algorithms Successfully Predict Grassland Aboveground | biomass | ? |
| Can Stereoscopic Density Replace Planar Density for Forest Aboveground | biomass | Estimation? A Case Study Using Airborne LiDAR and Landsat Data in Daxing'anling, China |
| Canopy Height and Above-Ground | biomass | Retrieval in Tropical Forests Using Multi-Pass X- and C-Band Pol-InSAR Data |
| Canopy Height Integration for Precise Forest Aboveground | biomass | Estimation in Natural Secondary Forests of Northeast China Using Gaofen-7 Stereo Satellite Data |
| Canopy Height Layering | biomass | Estimation Model (CHL-BEM) with Full-Waveform LiDAR |
| Capabilities of | biomass | Tomography for Investigating Tropical Forests |
| Carbon | biomass | Estimation Using Vegetation Indices in Agriculture-Pasture Mosaics in the Brazilian Caatinga Dry Tropical Forest |
| Change Detection of Submerged Seagrass | biomass | in Shallow Coastal Water |
| Change Detection of Tree | biomass | with Terrestrial Laser Scanning and Quantitative Structure Modelling |
| Characteristics of False-Positive Active Fires for | biomass | Burning Monitoring in Indonesia from VIIRS Data and Local Geo-Features |
| Characterization of aboveground | biomass | in an unmanaged boreal forest using Landsat temporal segmentation metrics |
| Characterization of Extremely Fresh | biomass | Burning Aerosol by Means of Lidar Observations |
| Classification and Visualization of Genotype-Phenotype Interactions in | biomass | Sorghum |
| Climate Interprets Saturation Value Variations Better Than Soil and Topography in Estimating Oak Forest Aboveground | biomass | Using Landsat 8 OLI Imagery |
| Co-Kriging-Guided Interpolation for Mapping Forest Aboveground | biomass | by Integrating Global Ecosystem Dynamics Investigation and Sentinel-2 Data |
| Combination of Plant NDVI and LiDAR Measurements Improve the Estimation of Pasture | biomass | in Tall Fescue (Festuca arundinacea var. Fletcher), A |
| Combined Multi-Temporal Optical and Radar Parameters for Estimating LAI and | biomass | in Winter Wheat Using HJ and RADARSAR-2 Data |
| Combining Multiple Geospatial Data for Estimating Aboveground | biomass | in North Carolina Forests |
| Combining Near-Infrared Vegetation Radiance to Improve the Accuracy of Grassland Aboveground | biomass | Estimation |
| Combining Radiative Transfer Model and Regression Algorithms for Estimating Aboveground | biomass | of Grassland in West Ujimqin, China |
| Combining TanDEM-X Interferometry and GEDI Space LiDAR for Estimation of Forest | biomass | Change in Tanzania |
| Comparative Analysis of Modeling Algorithms for Forest Aboveground | biomass | Estimation in a Subtropical Region |
| Comparative Assessment of Planar Density and Stereoscopic Density for Estimating Grassland Aboveground Fresh | biomass | Across Growing Season |
| Comparative Study on Variable Selection Approaches in Establishment of Remote Sensing Model for Forest | biomass | Estimation |
| Comparison and Evaluation of Three Methods for Estimating Forest above Ground | biomass | Using TM and GLAS Data |
| Comparison of Different Important Predictors and Models for Estimating Large-Scale | biomass | of Rubber Plantations in Hainan Island, China |
| Comparison of Ground-Based, Unmanned Aerial Vehicles and Satellite Remote Sensing Technologies for Monitoring Pasture | biomass | on Dairy Farms |
| Comparison of Imputation Approaches for Estimating Forest | biomass | Using Landsat Time-Series and Inventory Data, A |
| Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground | biomass | Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam |
| Comparison of Model-Assisted Endogenous Poststratification Methods for Estimation of Above-Ground | biomass | Change in Oregon, USA |
| Comparison of Regression Techniques for Estimation of Above-Ground Winter Wheat | biomass | Using Near-Surface Spectroscopy, A |
| Comparison of Statistical Modelling Approaches for Estimating Tropical Forest Aboveground | biomass | Stock and Reporting Their Changes in Low-Intensity Logging Areas Using Multi-Temporal LiDAR Data |
| Comparison of Three Approaches for Estimating Understory | biomass | in Yanshan Mountains |
| Compatible | biomass | Model with Measurement Error Using Airborne LiDAR Data |
| Comprehensive Comparison of Machine Learning and Feature Selection Methods for Maize | biomass | Estimation Using Sentinel-1 SAR, Sentinel-2 Vegetation Indices, and Biophysical Variables, A |
| Comprehensive Forest | biomass | Dataset for the USA Allows Customized Validation of Remotely Sensed Biomass Estimates, A |
| Comprehensive Forest | biomass | Dataset for the USA Allows Customized Validation of Remotely Sensed Biomass Estimates, A |
| Corn | biomass | Estimation by Integrating Remote Sensing and Long-Term Observation Data Based on Machine Learning Techniques |
| Cover Crop Types Influence | biomass | Estimation Using Unmanned Aerial Vehicle-Mounted Multispectral Sensors |
| Crop | biomass | Mapping Based on Ecosystem Modeling at Regional Scale Using High Resolution Sentinel-2 Data |
| Cross-Border Transport of PM2.5 from the Southeast Asian | biomass | Burning Emissions and Its Impact on Air Pollution in Yunnan Plateau, Southwest China, The |
| Data Augmentation and Interpolation Improves Machine Learning-Based Pasture | biomass | Estimation from Sentinel-2 Imagery |
| Decline in Phytoplankton | biomass | along Indian Coastal Waters due to COVID-19 Lockdown |
| Deep learning and machine learning enable broad-scale woodland height, cover, and | biomass | mapping |
| Deep Learning Based Retrieval of Forest Aboveground | biomass | from Combined LiDAR and Landsat 8 Data |
| Democratic Republic of the Congo Tropical Forest Canopy Height and Aboveground | biomass | Estimation with Landsat-8 Operational Land Imager (OLI) and Airborne LiDAR Data: The Effect of Seasonal Landsat Image Selection |
| Deriving airborne laser scanning based computational canopy volume for forest | biomass | and allometry studies |
| Deriving Individual-Tree | biomass | from Effective Crown Data Generated by Terrestrial Laser Scanning |
| Design of an Unmanned Ground Vehicle and LiDAR Pipeline for the High-Throughput Phenotyping of | biomass | in Perennial Ryegrass |
| Detection and | biomass | Estimation of Phaeocystis globosa Blooms off Southern China From UAV-Based Hyperspectral Measurements |
| Detection of Green Tide | biomass | by Remote Sensing Images and In Situ Measurement in the Yellow Sea of China, The |
| Determinants of Aboveground | biomass | across an Afromontane Landscape Mosaic in Kenya |
| Determining Optimal New Generation Satellite Derived Metrics for Accurate C3 and C4 Grass Species Aboveground | biomass | Estimation in South Africa |
| Developing in situ Non-Destructive Estimates of Crop | biomass | to Address Issues of Scale in Remote Sensing |
| Development of a Regional LIDAR-Derived Above-Ground | biomass | Model with Bayesian Model Averaging for Use in Ponderosa Pine and Mixed Conifer Forests in Arizona and New Mexico, USA |
| Development of a System of Compatible Individual Tree Diameter and Aboveground | biomass | Prediction Models Using Error-In-Variable Regression and Airborne LiDAR Data |
| Development of Near Real-Time | biomass | and Cover Estimates for Adaptive Rangeland Management Using Landsat 7 and Landsat 8 Surface Reflectance Products, The |
| Differentiable Physical Modeling for Forest Above-Ground | biomass | Retrieval by Unifying a Water Cloud Model and Deep Learning |
| Digital Aerial Photogrammetry for Uneven-Aged Forest Management: Assessing the Potential to Reconstruct Canopy Structure and Estimate Living | biomass | |
| Direct Estimation of Forest Aboveground | biomass | from UAV LiDAR and RGB Observations in Forest Stands with Various Tree Densities |
| Dual-Variable Selection Framework for Enhancing Forest Aboveground | biomass | Estimation via Multi-Source Remote Sensing, A |
| Dynamic estimation of rice aboveground | biomass | based on spectral and spatial information extracted from hyperspectral remote sensing images at different combinations of growth stages |
| Dynamic Harvest Index Estimation of Winter Wheat Based on UAV Hyperspectral Remote Sensing Considering Crop Aboveground | biomass | Change and the Grain Filling Process |
| Edge Effects in Amazon Forests: Integrating Remote Sensing and Modelling to Assess Changes in | biomass | and Productivity |
| Effect of field plot location on estimating tropical forest above-ground | biomass | in Nepal using airborne laser scanning data |
| Effectiveness of the Reconstructed MODIS Typical-Angle Reflectances on Forest | biomass | Estimation |
| Effects of Driving Factors on Forest Aboveground | biomass | (AGB) in China's Loess Plateau by Using Spatial Regression Models |
| Effects of LiDAR point density and landscape context on estimates of urban forest | biomass | |
| Effects of Sample Plot Size and GPS Location Errors on Aboveground | biomass | Estimates from LiDAR in Tropical Dry Forests |
| Effects of UAV Image Resolution, Camera Type, and Image Overlap on Accuracy of | biomass | Predictions in a Tropical Woodland |
| Efficient | biomass | Estimation Model for Large-Scale Olea europaea L. by Integrating UAV-RGB and U2-Net with Allometric Equations, An |
| Efficient Estimation of | biomass | from Residual Agroforestry |
| Employing a Method on SAR and Optical Images for Forest | biomass | Estimation |
| Enabling Deep-Neural-Network-Integrated Optical and SAR Data to Estimate the Maize Leaf Area Index and | biomass | with Limited In Situ Data |
| Energy-Efficient Uncertainty-Aware | biomass | Composition Prediction at the Edge |
| Enhanced Polarimetric Radar Vegetation Index and Integration with Optical Index for | biomass | Estimation in Grazing Lands Across the Contiguous United States |
| Enhancing Aboveground | biomass | Estimation for Three Pinus Forests in Yunnan, SW China, Using Landsat 8 |
| Enhancing Aboveground | biomass | Estimation in Rubber Plantations Using UAV Multispectral Data for Satellite Upscaling |
| Enhancing Alfalfa | biomass | Prediction: An Innovative Framework Using Remote Sensing Data |
| Enhancing Wheat Above-Ground | biomass | Estimation Using UAV RGB Images and Machine Learning: Multi-Feature Combinations, Flight Height, and Algorithm Implications |
| Error Model for | biomass | Estimates Derived From Polarimetric Radar Backscatter, An |
| Estimate of winter-wheat above-ground | biomass | based on UAV ultrahigh-ground-resolution image textures and vegetation indices |
| Estimated | biomass | Loss Caused by the Vaia Windthrow in Northern Italy: Evaluation of Active and Passive Remote Sensing Options |
| Estimates of Aboveground | biomass | from Texture Analysis of Landsat Imagery |
| Estimating 3D Green Volume and Aboveground | biomass | of Urban Forest Trees by UAV-Lidar |
| Estimating Above-Ground | biomass | in Sub-Tropical Buffer Zone Community Forests, Nepal, Using Sentinel 2 Data |
| Estimating Above-Ground | biomass | of Maize Using Features Derived from UAV-Based RGB Imagery |
| Estimating Above-Ground | biomass | of Potato Using Random Forest and Optimized Hyperspectral Indices |
| Estimating Aboveground | biomass | and Carbon Sequestration in Afforestation Areas Using Optical/SAR Data Fusion and Machine Learning |
| Estimating Aboveground | biomass | and Its Spatial Distribution in Coastal Wetlands Utilizing Planet Multispectral Imagery |
| Estimating Aboveground | biomass | in Tropical Forests: Field Methods and Error Analysis for the Calibration of Remote Sensing Observations |
| Estimating Aboveground | biomass | in Zagros Forest, Iran, Using Sentinel-2 Data |
| Estimating Aboveground | biomass | of Two Different Forest Types in Myanmar from Sentinel-2 Data with Machine Learning and Geostatistical Algorithms |
| Estimating Aboveground | biomass | of Wetland Plant Communities from Hyperspectral Data Based on Fractional-Order Derivatives and Machine Learning |
| Estimating and Mapping Aboveground | biomass | of Vegetation in Typical Lake Flooding Wetland Based on MODIS and Landsat Images Fusion |
| Estimating Barley | biomass | with Crop Surface Models from Oblique RGB Imagery |
| Estimating Bermudagrass Aboveground | biomass | Using Stereovision and Vegetation Coverage |
| Estimating | biomass | and Nitrogen Amount of Barley and Grass Using UAV and Aircraft Based Spectral and Photogrammetric 3D Features |
| Estimating | biomass | Carbon Stocks of Inner Mongolia Grasslands Using Multi-Source Data |
| Estimating | biomass | of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging |
| Estimating | biomass | of Native Grass Grown under Complex Management Treatments Using WorldView-3 Spectral Derivatives |
| Estimating Canopy Structure and | biomass | in Bamboo Forests Using Airborne LiDAR Data |
| Estimating crop | biomass | using leaf area index derived from Landsat 8 and Sentinel-2 data |
| Estimating Crown | biomass | in a Multilayered Fir Forest Using Airborne LiDAR Data |
| Estimating Forest Aboveground | biomass | by Combining ALOS PALSAR and WorldView-2 Data: A Case Study at Purple Mountain National Park, Nanjing, China |
| Estimating Forest Aboveground | biomass | Using a Combination of Geographical Random Forest and Empirical Bayesian Kriging Models |
| Estimating Forest Aboveground | biomass | Using Gaofen-1 Images, Sentinel-1 Images, and Machine Learning Algorithms: A Case Study of the Dabie Mountain Region, China |
| Estimating Forest | biomass | Dynamics by Integrating Multi-Temporal Landsat Satellite Images with Ground and Airborne LiDAR Data in the Coal Valley Mine, Alberta, Canada |
| Estimating Forest | biomass | From TerraSAR-X Stripmap Radargrammetry |
| Estimating forest | biomass | using small footprint LiDAR data: An individual tree-based approach that incorporates training data |
| Estimating Forest Volume and | biomass | and Their Changes Using Random Forests and Remotely Sensed Data |
| Estimating Individual Tree Above-Ground | biomass | of Chinese Fir Plantation: Exploring the Combination of Multi-Dimensional Features from UAV Oblique Photos |
| Estimating leaf area index and aboveground | biomass | of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images |
| Estimating Maize Above-Ground | biomass | Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales |
| Estimating Maize Crop Height and Aboveground | biomass | Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms |
| Estimating Mangrove Above-Ground | biomass | Using Extreme Gradient Boosting Decision Trees Algorithm with Fused Sentinel-2 and ALOS-2 PALSAR-2 Data in Can Gio Biosphere Reserve, Vietnam |
| Estimating Mangrove Canopy Height and Above-Ground | biomass | in the Everglades National Park with Airborne LiDAR and TanDEM-X Data |
| Estimating Pasture | biomass | and Canopy Height in Brazilian Savanna Using UAV Photogrammetry |
| Estimating Pasture | biomass | Using Sentinel-2 Imagery and Machine Learning |
| Estimating Post-Logging Changes in Forest | biomass | from Annual Satellite Imagery Based on an Efficient Forest Dynamic and Radiative Transfer Coupled Model |
| Estimating Rangeland Fine Fuel | biomass | in Western Texas Using High-Resolution Aerial Imagery and Machine Learning |
| Estimating single-tree branch | biomass | of Norway spruce by airborne laser scanning |
| Estimating Stand Volume and Above-Ground | biomass | of Urban Forests Using LiDAR |
| Estimating Structure and | biomass | of a Secondary Atlantic Forest in Brazil Using Fourier Transforms of Vertical Profiles Derived from UAV Photogrammetry Point Clouds |
| Estimating Sugarcane Aboveground | biomass | and Carbon Stock Using the Combined Time Series of Sentinel Data with Machine Learning Algorithms |
| Estimating the Above-Ground | biomass | in Miombo Savanna Woodlands (Mozambique, East Africa) Using L-Band Synthetic Aperture Radar Data |
| Estimating the Aboveground | biomass | for Planted Forests Based on Stand Age and Environmental Variables |
| Estimating the Aboveground | biomass | of Shrubland and Savanna Ecosystems Using High-Resolution Small UAV Systems: A Systematic Review |
| Estimating the Aboveground | biomass | of Various Forest Types with High Heterogeneity at the Provincial Scale Based on Multi-Source Data |
| Estimating the | biomass | of Maize with Hyperspectral and LiDAR Data |
| Estimating total aboveground, stem and branch | biomass | using multi-frequency SAR |
| Estimating Tree-Root | biomass | in Different Depths Using Ground-Penetrating Radar: Evidence from a Controlled Experiment |
| Estimating tropical forest | biomass | with a combination of SAR image texture and Landsat TM data: An assessment of predictions between regions |
| Estimating Urban Forests | biomass | with LiDAR by Using Deep Learning Foundation Models |
| Estimating Winter Annual | biomass | in the Sonoran and Mojave Deserts with Satellite- and Ground-Based Observations |
| Estimating Winter Cover Crop | biomass | in France Using Optical Sentinel-2 Dense Image Time Series and Machine Learning |
| Estimation and mapping of above-ground | biomass | of mangrove forests and their replacement land uses in the Philippines using Sentinel imagery |
| Estimation of Above Ground | biomass | in a Tropical Mountain Forest in Southern Ecuador Using Airborne LiDAR Data |
| Estimation of Above-Ground | biomass | of Winter Wheat Based on Consumer-Grade Multi-Spectral UAV |
| Estimation of Above-Ground | biomass | over Boreal Forests in Siberia Using Updated In Situ, ALOS-2 PALSAR-2, and RADARSAT-2 Data |
| Estimation of Aboveground | biomass | of Chinese Milk Vetch Based on UAV Multi-Source Map Fusion |
| Estimation of Aboveground | biomass | of Potatoes Based on Characteristic Variables Extracted from UAV Hyperspectral Imagery |
| Estimation of Bale Grazing and Sacrificed Pasture | biomass | through the Integration of Sentinel Satellite Images and Machine Learning Techniques |
| Estimation of | biomass | and N Uptake in Different Winter Cover Crops from UAV-Based Multispectral Canopy Reflectance Data |
| Estimation of | biomass | and volume of shrub vegetation using LiDAR and spectral data in a Mediterranean environment |
| Estimation of | biomass | Burned Areas Using Multiple-Satellite-Observed Active Fires |
| Estimation of | biomass | Potential Based on Classification and Height Information |
| Estimation of Canopy | biomass | Components in Paddy Rice from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking |
| Estimation of Coastal Wetland Vegetation Aboveground | biomass | by Integrating UAV and Satellite Remote Sensing Data |
| Estimation of Forage | biomass | in Oat (Avena sativa) Using Agronomic Variables through UAV Multispectral Imaging |
| Estimation of Forest Aboveground | biomass | in Changbai Mountain Region Using ICESat/GLAS and Landsat/TM Data |
| Estimation of Forest Aboveground | biomass | in China Based on GEDI and Sentinel-2 Data: Quantitative Analysis of Optical Remote Sensing Saturation Effect and Terrain Compensation Mechanisms |
| Estimation of Forest Aboveground | biomass | in Karst Areas Using Multi-Source Remote Sensing Data and the K-DBN Algorithm |
| Estimation of Forest Aboveground | biomass | of Two Major Conifers in Ibaraki Prefecture, Japan, from PALSAR-2 and Sentinel-2 Data |
| Estimation of Forest Aboveground | biomass | Using Sentinel-1/2 Synergized with Extrapolated Parameters from LiDAR Data and Analysis of Its Ecological Driving Factors |
| Estimation of forest | biomass | from an airborne single-pass L-band POL-InSAR system |
| Estimation of Forest | biomass | From Two-Level Model Inversion of Single-Pass InSAR Data |
| Estimation of Forest Canopy Height and Aboveground | biomass | from Spaceborne LiDAR and Landsat Imageries in Maryland |
| Estimation of Forest Residual | biomass | for Bioelectricity Utilization towards Carbon Neutrality Based on Sentinel-2A Multi-Temporal Images: A Case Study of Aizu Region of Fukushima, Japan |
| Estimation of Grassland Canopy Height and Aboveground | biomass | at the Quadrat Scale Using Unmanned Aerial Vehicle |
| Estimation of Individual Tree | biomass | in Natural Secondary Forests Based on ALS Data and WorldView-3 Imagery |
| Estimation of Individual Tree Stem | biomass | in an Uneven-Aged Structured Coniferous Forest Using Multispectral LiDAR Data |
| Estimation of Leaf, Spike, Stem and Total | biomass | of Winter Wheat Under Water-Deficit Conditions Using UAV Multimodal Data and Machine Learning |
| Estimation of Maize | biomass | at Multi-Growing Stage Using Stem and Leaf Separation Strategies with 3D Radiative Transfer Model and CNN Transfer Learning |
| Estimation of National Forest Aboveground | biomass | from Multi-Source Remotely Sensed Dataset with Machine Learning Algorithms in China |
| Estimation of Parameters of | biomass | State of Sowing Spring Wheat |
| Estimation of pasture | biomass | using dual-polarisation radar imagery: A preliminary study |
| Estimation of Potato Above-Ground | biomass | Based on Vegetation Indices and Green-Edge Parameters Obtained from UAVs |
| Estimation of Potato Above-Ground | biomass | Using UAV-Based Hyperspectral images and Machine-Learning Regression |
| Estimation Of Regional Forest Aboveground | biomass | Combining Icesat-glas Waveforms And Hj-1a/hsi Hyperspectral Imageries |
| Estimation of Rice Height and | biomass | Using Multitemporal SAR Sentinel-1 for Camargue, Southern France |
| Estimation of Seaweed | biomass | Based on Multispectral UAV in the Intertidal Zone of Gouqi Island |
| Estimation of Subtropical Forest Aboveground | biomass | Using Active and Passive Sentinel Data with Canopy Height |
| Estimation of the forest stand mean height and aboveground | biomass | in Northeast China using SAR Sentinel-1B, multispectral Sentinel-2A, and DEM imagery |
| Estimation of the Grassland Aboveground | biomass | of the Inner Mongolia Plateau Using the Simulated Spectra of Sentinel-2 Images |
| Estimation of Tree Diameter at Breast Height (DBH) and | biomass | from Allometric Models Using LiDAR Data: A Case of the Lake Broadwater Forest in Southeast Queensland, Australia |
| Estimation of Winter Wheat Above-Ground | biomass | Using Unmanned Aerial Vehicle-Based Snapshot Hyperspectral Sensor and Crop Height Improved Models |
| Estimation of Winter Wheat | biomass | and Yield by Combining the AquaCrop Model and Field Hyperspectral Data |
| Estimation of Winter Wheat Stem | biomass | by a Novel Two-Component and Two-Parameter Stratified Model Using Proximal Remote Sensing and Phenological Variables |
| Estimation, Spatiotemporal Dynamics, and Driving Factors of Grassland | biomass | Carbon Storage Based on Machine Learning Methods: A Case Study of the Hulunbuir Grassland |
| Eucalyptus | biomass | and Volume Estimation Using Interferometric and Polarimetric SAR Data |
| Evaluating Disturbance Regime Stratification for Aboveground | biomass | Estimation in a Heterogeneous Forest Landscape: Insights from the Atewa Landscape, Ghana |
| Evaluating Forest Aboveground | biomass | Products by Incorporating Spatial Representativeness Analysis |
| Evaluating k-Nearest Neighbor (kNN) Imputation Models for Species-Level Aboveground Forest | biomass | Mapping in Northeast China |
| Evaluating P-Band TomoSAR for | biomass | Retrieval in Boreal Forest |
| Evaluating Site-Specific and Generic Spatial Models of Aboveground Forest | biomass | Based on Landsat Time-Series and LiDAR Strip Samples in the Eastern USA |
| Evaluating the Potential of ALS Data to Increase the Efficiency of Aboveground | biomass | Estimates in Tropical Peat-Swamp Forests |
| Evaluating the Remote Sensing and Inventory-Based Estimation of | biomass | in the Western Carpathians |
| Evaluating the Transferability of Spectral Variables and Prediction Models for Mapping Forest Aboveground | biomass | Using Transfer Learning Methods |
| Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground | biomass | in uMgeni catchment, South Africa |
| Evaluation and Refinement of Chlorophyll-a Algorithms for High- | biomass | Blooms in San Francisco Bay (USA) |
| Evaluation of Eight Machine Learning Regression Algorithms for Forest Aboveground | biomass | Estimation from Multiple Satellite Data Products, An |
| Evaluation of FORMOSAT-2 and PlanetScope Imagery for Aboveground Oil Palm | biomass | Estimation in a Mature Plantation in the Congo Basin |
| Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest | biomass | Estimation Using Landsat 5 TM Data |
| Evaluation of Remote Sensing Inversion Error for the Above-Ground | biomass | of Alpine Meadow Grassland Based on Multi-Source Satellite Data |
| Evaluation of the Sensitivity of SMOS L-VOD to Forest Above-Ground | biomass | at Global Scale |
| Examination of Abiotic Drivers and Their Influence on Spartina alterniflora | biomass | over a Twenty-Eight Year Period Using Landsat 5 TM Satellite Imagery of the Central Georgia Coast |
| Examination of the Potential of Terrestrial Laser Scanning and Structure-from-Motion Photogrammetry for Rapid Nondestructive Field Measurement of Grass | biomass | |
| Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground | biomass | Estimation |
| Examining the Potential of Sentinel Imagery and Ensemble Algorithms for Estimating Aboveground | biomass | in a Tropical Dry Forest |
| Examining the potential of Sentinel-2 MSI spectral resolution in quantifying above ground | biomass | across different fertilizer treatments |
| Experimental Evaluation of Several Key Factors Affecting Root | biomass | Estimation by 1500 MHz Ground-Penetrating Radar |
| Exploring Bamboo Forest Aboveground | biomass | Estimation Using Sentinel-2 Data |
| Exploring the Inclusion of Small Regenerating Trees to Improve Above-Ground Forest | biomass | Estimation Using Geospatial Data |
| Extraction of Non-forest Trees for | biomass | Assessment Based on Airborne and Terrestrial LiDAR Data |
| Fast, Nondestructive and Precise | biomass | Measurements Are Possible Using Lidar-Based Convex Hull and Voxelization Algorithms |
| Features of the Extreme Fire Season of 2021 in Yakutia (Eastern Siberia) and Heavy Air Pollution Caused by | biomass | Burning |
| Fire Detection and Fire Radiative Power in Forests and Low- | biomass | Lands in Northeast Asia: MODIS versus VIIRS Fire Products |
| Fodder | biomass | Monitoring in Sahelian Rangelands Using Phenological Metrics from FAPAR Time Series |
| Forest above Ground | biomass | Inversion by Fusing GLAS with Optical Remote Sensing Data |
| Forest Above-Ground | biomass | Inversion Using Optical and SAR Images Based on a Multi-Step Feature Optimized Inversion Model |
| Forest Aboveground | biomass | Estimation in Kure Mountains National Park Using Multifrequency SAR and Multispectral Optical Data with Machine-Learning Regression Models |
| Forest Aboveground | biomass | Estimation Using Machine Learning Ensembles: Active Learning Strategies for Model Transfer and Field Sampling Reduction |
| Forest Aboveground | biomass | Estimation Using Multi-Features Extracted by Fitting Vertical Backscattered Power Profile of Tomographic SAR |
| Forest Aboveground | biomass | Estimation Using Multisource Remote Sensing Data and Deep Learning Algorithms: A Case Study over Hangzhou Area in China |
| Forest | biomass | Estimation Using Texture Measurements of High-Resolution Dual-Polarization C-Band SAR Data |
| framework for creating and validating a non-linear spectrum- | biomass | model to estimate the secondary succession biomass in moist tropical forests, A |
| framework for creating and validating a non-linear spectrum- | biomass | model to estimate the secondary succession biomass in moist tropical forests, A |
| From Spaceborne LiDAR to Local Calibration: GEDI's Role in Forest | biomass | Estimation |
| From TLS to VLS: | biomass | Estimation at Individual Tree Level |
| Fusion of high resolution remote sensing images and terrestrial laser scanning for improved | biomass | estimation of maize |
| Fusion of LiDAR and Multispectral Data for Aboveground | biomass | Estimation in Mountain Grassland |
| Fusion of Multiple Gridded | biomass | Datasets for Generating a Global Forest Aboveground Biomass Map |
| Fusion of Multiple Gridded | biomass | Datasets for Generating a Global Forest Aboveground Biomass Map |
| Fusion of Plant Height and Vegetation Indices for the Estimation of Barley | biomass | |
| Fusion of Spectral and Structural Information from Aerial Images for Improved | biomass | Estimation |
| Fusion of Ultrasonic and Spectral Sensor Data for Improving the Estimation of | biomass | in Grasslands with Heterogeneous Sward Structure |
| Generalized Hierarchical Model-Based Estimation for Aboveground | biomass | Assessment Using GEDI and Landsat Data |
| Graph-Based Data Fusion Applied to Change Detection and | biomass | Estimation in Rice Crops |
| Grassland Aboveground | biomass | Estimation through Assimilating Remote Sensing Data into a Grass Simulation Model |
| Grassland | biomass | Inversion Based on a Random Forest Algorithm and Drought Risk Assessment |
| High-Precision Stand Age Data Facilitate the Estimation of Rubber Plantation | biomass | : A Case Study of Hainan Island, China |
| High-Resolution Aboveground | biomass | Mapping: The Benefits of Biome-Specific Deep Learning Models |
| High-Resolution Airborne Hyperspectral Imagery for Assessing Yield, | biomass | , Grain N Concentration, and N Output in Spring Wheat |
| High-Resolution Daily Emission Inventory of | biomass | Burning in the Amur-Heilong River Basin Based on MODIS Fire Radiative Energy Data |
| Historical forest | biomass | dynamics modelled with Landsat spectral trajectories |
| Horizontal Distribution of Branch | biomass | in European Beech: A Model Based on Measurements and TLS Based Proxies, The |
| How can UAV bridge the gap between ground and satellite observations for quantifying the | biomass | of desert shrub community? |
| How Do Methods Assimilating Sentinel-2-Derived LAI Combined with Two Different Sources of Soil Input Data Affect the Crop Model-Based Estimation of Wheat | biomass | at Sub-Field Level? |
| Hybrid Model for Mapping Relative Differences in Belowground | biomass | and Root: Shoot Ratios Using Spectral Reflectance, Foliar N and Plant Biophysical Data within Coastal Marsh, A |
| Hyperspectral Monitoring Driven by Machine Learning Methods for Grassland Above-Ground | biomass | |
| ICESat/GLAS Data as a Measurement Tool for Peatland Topography and Peat Swamp Forest | biomass | in Kalimantan, Indonesia |
| impact of integrating WorldView-2 sensor and environmental variables in estimating plantation forest species aboveground | biomass | and carbon stocks in uMgeni Catchment, South Africa, The |
| Impact of Planet Fusion Surface Reflectance Data on Crop | biomass | and Carbon Budget Estimates Within the AgriCarbon-EO Processing Chain |
| Impacts of Airborne Lidar Pulse Density on Estimating | biomass | Stocks and Changes in a Selectively Logged Tropical Forest |
| Impacts of Ionospheric Scintillation on the | biomass | P-Band Satellite SAR |
| Impacts of Spatial Variability on Aboveground | biomass | Estimation from L-Band Radar in a Temperate Forest |
| Impacts Of Tree Height-DBH Allometry On Lidar-based Tree Aboveground | biomass | Modeling |
| Improved Estimation of Aboveground | biomass | of Disturbed Grassland through Including Bare Ground and Grazing Intensity |
| Improved Estimation of Winter Wheat Aboveground | biomass | Using Multiscale Textures Extracted from UAV-Based Digital Images and Hyperspectral Feature Analysis |
| Improved Forest | biomass | and Carbon Estimations Using Texture Measures from WorldView-2 Satellite Data |
| Improved Method for Pan-Tropical Above-Ground | biomass | and Canopy Height Retrieval Using CYGNSS, An |
| Improved Object-Based Estimation of Forest Aboveground | biomass | by Integrating LiDAR Data from GEDI and ICESat-2 with Multi-Sensor Images in a Heterogeneous Mountainous Region |
| Improved Object-Based Mapping of Aboveground | biomass | Using Geographic Stratification with GEDI Data and Multi-Sensor Imagery |
| Improved Photosynthetic Accumulation Models for | biomass | Estimation of Soybean and Cotton Using Vegetation Indices and Canopy Height |
| Improving Aboveground | biomass | Estimation in Beech Forests with 3D Tree Crown Parameters Derived from UAV-LS |
| Improving Aboveground | biomass | Estimation in Lowland Tropical Forests across Aspect and Age Stratification: A Case Study in Xishuangbanna |
| Improving Aboveground | biomass | Estimation of Pinus densata Forests in Yunnan Using Landsat 8 Imagery by Incorporating Age Dummy Variable and Method Comparison |
| Improving Aboveground Forest | biomass | Maps: From High-Resolution to National Scale |
| Improving Accuracy Estimation of Forest Aboveground | biomass | Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran) |
| Improving | biomass | and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques |
| Improving Estimates and Change Detection of Forest Above-Ground | biomass | Using Statistical Methods |
| Improving Estimation of Woody Aboveground | biomass | of Sparse Mixed Forest over Dryland Ecosystem by Combining Landsat-8, GaoFen-2, and UAV Imagery |
| Improving Forest Above-Ground | biomass | Estimation Accuracy Using Multi-Source Remote Sensing and Optimized Least Absolute Shrinkage and Selection Operator Variable Selection Method |
| Improving Forest Aboveground | biomass | Estimation of Pinus densata Forest in Yunnan of Southwest China by Spatial Regression using Landsat 8 Images |
| Improving Forest Aboveground | biomass | Estimation Using Seasonal Landsat NDVI Time-Series |
| Improving Species Diversity and | biomass | Estimates of Tropical Dry Forests Using Airborne LiDAR |
| Improving the Estimation of Above Ground | biomass | Using Dual Polarimetric PALSAR and ETM+ Data in the Hyrcanian Mountain Forest (Iran) |
| Improving the PROSPECT Model to Consider Anisotropic Scattering of Leaf Internal Materials and Its Use for Retrieving Leaf | biomass | in Fresh Leaves |
| Improving the Retrieval of Carbon-Based Phytoplankton | biomass | from Satellite Ocean Colour Observations |
| Incorporating Forest Mapping-Related Uncertainty into the Error Propagation of Wall-to-Wall | biomass | Maps: A General Approach for Large and Small Areas |
| Individual Tree | biomass | Estimation Using Terrestrial Laser Scanning |
| Individual Tree-Level | biomass | Mapping in Chinese Coniferous Plantation Forests Using Multimodal UAV Remote Sensing Approach Integrating Deep Learning and Machine Learning |
| Individual Tree-Scale Aboveground | biomass | Estimation of Woody Vegetation in a Semi-Arid Savanna Using 3D Data |
| Influence of Plot Size on Efficiency of | biomass | Estimates in Inventories of Dry Tropical Forests Assisted by Photogrammetric Data from an Unmanned Aircraft System |
| Influence of Tropical Instability Waves on Phytoplankton | biomass | near the Marquesas Islands |
| Influence of UAS Flight Altitude and Speed on Aboveground | biomass | Prediction |
| InSAR-DEM Block Adjustment Model for Upcoming | biomass | Mission: Considering Atmospheric Effects |
| Integrated Field and Remote Sensing Method for Mapping Seagrass Species, Cover, and | biomass | in Southern Thailand, An |
| Integrating Airborne LiDAR and Optical Data to Estimate Forest Aboveground | biomass | in Arid and Semi-Arid Regions of China |
| Integrating Imaging Spectrometer and Synthetic Aperture Radar Data for Estimating Wetland Vegetation Aboveground | biomass | in Coastal Louisiana |
| Integrating Multi-Source Remote Sensing to Assess Forest Aboveground | biomass | in the Khingan Mountains of North-Eastern China Using Machine-Learning Algorithms |
| Integrating SAR and Optical Data for Aboveground | biomass | Estimation of Coastal Wetlands Using Machine Learning: Multi-Scale Approach |
| Integrating the PROSAIL and SVR Models to Facilitate the Inversion of Grassland Aboveground | biomass | : A Case Study of Zoigª Plateau, China |
| Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of Rice Aboveground | biomass | |
| Integration of GF2 Optical, GF3 SAR, and UAV Data for Estimating Aboveground | biomass | of China's Largest Artificially Planted Mangroves |
| Integration of Handheld and Airborne Lidar Data for Dicranopteris Dichotoma | biomass | Estimation in a Subtropical Region of Fujian Province, China |
| Integration of Optical and X-Band Radar Data for Pasture | biomass | Estimation in an Open Savannah Woodland |
| Integration of UAS and Backpack-LiDAR to Estimate Aboveground | biomass | of Picea crassifolia Forest in Eastern Qinghai, China |
| Integration of UAV, Sentinel-1, and Sentinel-2 Data for Mangrove Plantation Aboveground | biomass | Monitoring in Senegal |
| Integration of ZiYuan-3 Multispectral and Stereo Data for Modeling Aboveground | biomass | of Larch Plantations in North China |
| Interaction Between Faraday Rotation and System Effects in Synthetic Aperture Radar Measurements of Backscatter and | biomass | , The |
| Interannual and Seasonal Variability of Greenhouse Gases and Aerosol Emissions from | biomass | Burning in Northeastern China Constrained by Satellite Observations |
| Intercalibration of MERIS, MODIS, and OLCI Satellite Imagers for Construction of Past, Present, and Future Cyanobacterial | biomass | Time Series |
| Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of | biomass | in High Biomass Forested Areas |
| Interest of Integrating Spaceborne LiDAR Data to Improve the Estimation of | biomass | in High Biomass Forested Areas |
| Interferometric Ground Cancellation for Above Ground | biomass | Estimation |
| Inversion of Forest above Ground | biomass | in Mountainous Region Based on PolSAR Data after Terrain Correction: A Case Study from Saihanba, China |
| Inversion of Forest Aboveground | biomass | in Regions with Complex Terrain Based on PolSAR Data and a Machine Learning Model: Radiometric Terrain Correction Assessment |
| Inversion of Grassland Aboveground | biomass | in the Three Parallel Rivers Area Based on Genetic Programming Optimization Features and Machine Learning |
| Inverting Aboveground | biomass | -Canopy Texture Relationships in a Landscape of Forest Mosaic in the Western Ghats of India Using Very High Resolution Cartosat Imagery |
| Investigating Dual-Source Satellite Image Data and ALS Data for Estimating Aboveground | biomass | |
| Investigating the Flexibility of the MBSE Approach to the | biomass | Mission |
| Investigating the Relationship between the Inter-Annual Variability of Satellite-Derived Vegetation Phenology and a Proxy of | biomass | Production in the Sahel |
| Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground | biomass | in resource constrained areas |
| L-Band SAR Backscatter Related to Forest Cover, Height and Aboveground | biomass | at Multiple Spatial Scales across Denmark |
| Landsat Time-Series for Estimating Forest Aboveground | biomass | and Its Dynamics across Space and Time: A Review |
| Landscape-Scale Aboveground | biomass | Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data |
| Large Area Aboveground | biomass | and Carbon Stock Mapping in Woodlands in Mozambique with L-Band Radar: Improving Accuracy by Accounting for Soil Moisture Effects Using the Water Cloud Model |
| Large-Scale | biomass | Classification in Boreal Forests With TanDEM-X Data |
| Large-Scale Inter-Comparison and Evaluation of Spatial Feature Engineering Strategies for Forest Aboveground | biomass | Estimation Using Landsat Satellite Imagery, A |
| Leveraging TLS as a Calibration and Validation Tool for MLS and ULS Mapping of Savanna Structure and | biomass | at Landscape-Scales |
| Lidar Aboveground Vegetation | biomass | Estimates in Shrublands: Prediction, Uncertainties and Application to Coarser Scales |
| Lidar | biomass | Index of Tidal Marshes from Drone Lidar Point Cloud, A |
| Lidar with multi-temporal MODIS provide a means to upscale predictions of forest | biomass | |
| LiDAR-Assisted Multi-Source Program (LAMP) for Measuring Above Ground | biomass | and Forest Carbon |
| Lidar-Based Aboveground | biomass | Estimations for the Maya Archaeological Site of Yaxnohcah, Campeche, Mexico |
| Lidar-based Mapping of Forest Volume and | biomass | by Taxonomic Group Using Structurally Homogenous Segments |
| Long-Term Grass | biomass | Estimation of Pastures from Satellite Data |
| Machine-Learning Applications for the Retrieval of Forest | biomass | from Airborne P-Band SAR Data |
| Mapping Above-Ground | biomass | by Integrating Optical and SAR Imagery: A Case Study of Xixi National Wetland Park, China |
| Mapping Above-Ground | biomass | in a Tropical Forest in Cambodia Using Canopy Textures Derived from Google Earth |
| Mapping Above-Ground | biomass | of Winter Oilseed Rape Using High Spatial Resolution Satellite Data at Parcel Scale under Waterlogging Conditions |
| Mapping Aboveground | biomass | in Northern Japanese Forests Using the ALOS PRISM Digital Surface Model |
| Mapping Aboveground | biomass | using Texture Indices from Aerial Photos in a Temperate Forest of Northeastern China |
| Mapping aboveground tree | biomass | and uncertainty using an upscaling approach: A case study of the larch forests in northeastern China using UAV laser scanning data |
| Mapping Aboveground Woody | biomass | on Abandoned Agricultural Land Based on Airborne Laser Scanning Data |
| Mapping and Estimating Aboveground | biomass | in an Alpine Treeline Ecotone under Model-Based Inference |
| Mapping and Monitoring of | biomass | and Grazing in Pasture with an Unmanned Aerial System |
| Mapping | biomass | Availability to Decrease the Dependency on Fossil Fuels |
| Mapping Coastal Wetland | biomass | from High Resolution Unmanned Aerial Vehicle (UAV) Imagery |
| Mapping Forage | biomass | and Quality of the Inner Mongolia Grasslands by Combining Field Measurements and Sentinel-2 Observations |
| Mapping Forest Aboveground | biomass | Using Multisource Remotely Sensed Data |
| Mapping Forest Aboveground | biomass | with MODIS and Fengyun-3C VIRR Imageries in Yunnan Province, Southwest China Using Linear Regression, K-Nearest Neighbor and Random Forest |
| Mapping Forest Aboveground | biomass | with Phenological Information Extracted from Remote Sensing Images in Subtropical Evergreen Broadleaf Forests |
| Mapping Forest Ecosystem | biomass | Density for Xiangjiang River Basin by Combining Plot and Remote Sensing Data and Comparing Spatial Extrapolation Methods |
| Mapping Global Forest Aboveground | biomass | with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data |
| Mapping Height and Aboveground | biomass | of Mangrove Forests on Hainan Island Using UAV-LiDAR Sampling |
| Mapping Height and | biomass | of Mangrove Forests in the Everglades National Park with SRTM Elevation Data |
| Mapping Individual Tree- and Plot-Level | biomass | Using Handheld Mobile Laser Scanning in Complex Subtropical Secondary and Old-Growth Forests |
| Mapping of Forest | biomass | in Shangri-La City Based on LiDAR Technology and Other Remote Sensing Data |
| Mapping Phragmites australis Aboveground | biomass | in the Momoge Wetland Ramsar Site Based on Sentinel-1/2 Images |
| Mapping Plant Nitrogen Concentration and Aboveground | biomass | of Potato Crops from Sentinel-2 Data Using Ensemble Learning Models |
| Mapping Seagrass Distribution and Abundance: Comparing Areal Cover and | biomass | Estimates Between Space-Based and Airborne Imagery |
| Mapping Shrub | biomass | at 10 m Resolution by Integrating Field Measurements, Unmanned Aerial Vehicles, and Multi-Source Satellite Observations |
| Mapping Spartina alterniflora | biomass | Using LiDAR and Hyperspectral Data |
| Mapping Spatiotemporal Changes in Forest Type and Aboveground | biomass | from Landsat Long-Term Time-Series Analysis: A Case Study from Yaoluoping National Nature Reserve, Anhui Province of Eastern China |
| Mapping the Global Mangrove Forest Aboveground | biomass | Using Multisource Remote Sensing Data |
| Mapping the Spatial Distribution of Colombia's Forest Aboveground | biomass | Using SAR and Optical Data |
| Mapping Tree Canopy Cover and Aboveground | biomass | in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest |
| Mapping Tropical Forested Wetlands | biomass | with LiDAR: A Machine Learning Comparison |
| Mapping Two Decades of New York State Forest Aboveground | biomass | Change Using Remote Sensing |
| Mapping Winter Wheat | biomass | and Yield Using Time Series Data Blended from PROBA-V 100- and 300-m S1 Products |
| Measurements of Forest | biomass | Change Using P-Band Synthetic Aperture Radar Backscatter |
| Methane Emissions in Boreal Forest Fire Regions: Assessment of Five | biomass | -Burning Emission Inventories Based on Carbon Sensing Satellites |
| Methodology for Lidar Monitoring of | biomass | Burning Smoke in Connection with the Land Cover |
| Microphytobenthos | biomass | and Diversity Mapping at Different Spatial Scales with a Hyperspectral Optical Model |
| Migratory | biomass | Statistical Method Based on High-Resolution Fully Polarimetric Entomological Radar, A |
| Model-Assisted Estimation of Tropical Forest | biomass | Change: A Comparison of Approaches |
| Model-Based | biomass | Estimation of a Hemi-Boreal Forest from Multitemporal TanDEM-X Acquisitions |
| Model-Based Estimation of Forest Canopy Height and | biomass | in the Canadian Boreal Forest Using Radar, LiDAR, and Optical Remote Sensing |
| Modeling Aboveground | biomass | in Dense Tropical Submontane Rainforest Using Airborne Laser Scanner Data |
| Modeling aboveground tree woody | biomass | using national-scale allometric methods and airborne lidar |
| Modeling and Mapping Agroforestry Aboveground | biomass | in the Brazilian Amazon Using Airborne Lidar Data |
| Modeling | biomass | Production in Seasonal Wetlands Using MODIS NDVI Land Surface Phenology |
| Modeling Forest Aboveground | biomass | and Volume Using Airborne LiDAR Metrics and Forest Inventory and Analysis Data in the Pacific Northwest |
| Modeling Moso Bamboo Tree Density and Aboveground | biomass | Using Multi-Site UAV-LiDAR Data |
| Modeling Stand Height, Volume, and | biomass | from Very High Spatial Resolution Satellite Imagery and Samples of Airborne LiDAR |
| Modeling strawberry | biomass | and leaf area using object-based analysis of high-resolution images |
| Modelling above Ground | biomass | in Tanzanian Miombo Woodlands Using TanDEM-X WorldDEM and Field Data |
| Modelling Aboveground | biomass | Carbon Stock of the Bohai Rim Coastal Wetlands by Integrating Remote Sensing, Terrain, and Climate Data |
| Modelling Crop | biomass | from Synthetic Remote Sensing Time Series: Example for the DEMMIN Test Site, Germany |
| Modelling the Vertical Distribution of Phytoplankton | biomass | in the Mediterranean Sea from Satellite Data: A Neural Network Approach |
| Modification of Local Urban Aerosol Properties by Long-Range Transport of | biomass | Burning Aerosol |
| Monitoring Cover Crop | biomass | in Southern Brazil Using Combined PlanetScope and Sentinel-1 SAR Data |
| Monitoring Large-Scale Restoration Interventions from Land Preparation to | biomass | Growth in the Sahel |
| Monitoring mangrove | biomass | change in Vietnam using SPOT images and an object-based approach combined with machine learning algorithms |
| Monitoring Pasture Aboveground | biomass | and Canopy Height in an Integrated Crop-Livestock System Using Textural Information from PlanetScope Imagery |
| Monitoring Rubber Plantation Distribution and | biomass | with Sentinel-2 Using Deep Learning and Machine Learning Algorithm (2019-2024) |
| Monsoon Season Quantitative Assessment of | biomass | Burning Clear-Sky Aerosol Radiative Effect at Surface by Ground-Based Lidar Observations in Pulau Pinang, Malaysia in 2014 |
| Morphological and Physiological Screening to Predict Lettuce | biomass | Production in Controlled Environment Agriculture |
| Multi-Decision Vector Fusion Model for Enhanced Mapping of Aboveground | biomass | in Subtropical Forests Integrating Sentinel-1, Sentinel-2, and Airborne LiDAR Data |
| Multi-Platform LiDAR for Non-Destructive Individual Aboveground | biomass | Estimation for Changbai Larch (Larix olgensis Henry) Using a Hierarchical Bayesian Approach |
| Multi-Scale Forest Above-Ground | biomass | Mapping Approach: Employing a Step-by-Step Spatial Downscaling Method with Bias-Corrected Ensemble Machine Learning, A |
| Multi-Temporal Hyperspectral and Radar Remote Sensing for Estimating Winter Wheat | biomass | in the North China Plain |
| Multi-Temporal Monsoon Crop | biomass | Estimation Using Hyperspectral Imaging |
| Multi-Temporal Predictive Modelling of Sorghum | biomass | Using UAV-Based Hyperspectral and LiDAR Data |
| Multi-Temporal Speckle Filtering of Polarimetric P-Band SAR Data over Dense Tropical Forests: Study Case in French Guiana for the | biomass | Mission |
| Multi-Variable Sentinel-2 Random Forest Machine Learning Model Approach to Predicting Perennial Ryegrass | biomass | in Commercial Dairy Farms in Southeast Australia, A |
| Multifrequency and Full-Polarimetric SAR Assessment for Estimating Above Ground | biomass | and Leaf Area Index in the Amazon Varzea Wetlands |
| Multispectral UAV-Based Monitoring of Leek Dry- | biomass | and Nitrogen Uptake across Multiple Sites and Growing Seasons |
| Multitemporal data mining: From | biomass | monitoring to nuclear proliferation detection |
| National Forest Aboveground | biomass | Mapping from ICESat/GLAS Data and MODIS Imagery in China |
| NDVI from Active Optical Sensors As A Measure Of Canopy Cover And | biomass | |
| New | biomass | Estimates for Chaparral-Dominated Southern California Landscapes |
| New Forest Aboveground | biomass | Maps of China Integrating Multiple Datasets |
| New Geospatial Approaches for Efficiently Mapping Forest | biomass | Logistics at High Resolution over Large Areas |
| New Inventories of Global Carbon Dioxide Emissions through | biomass | Burning in 2001-2020 |
| New Methodology for Intertidal Seaweed | biomass | Estimation Using Multispectral Data Obtained with Unoccupied Aerial Vehicles |
| New Textural Indicators for Assessing Above-Ground Cotton | biomass | Extracted from Optical Imagery Obtained via Unmanned Aerial Vehicle |
| Non-Destructive | biomass | Estimation in Mediterranean Alpha Steppes: Improving Traditional Methods for Measuring Dry and Green Fractions by Combining Proximal Remote Sensing Tools |
| Novel Approach for Estimation of Above-Ground | biomass | of Sugar Beet Based on Wavelength Selection and Optimized Support Vector Machine, A |
| Novel Hybrid GOA-XGB Model for Estimating Wheat Aboveground | biomass | Using UAV-Based Multispectral Vegetation Indices, A |
| Novel Method for Estimating Spatial Distribution of Forest Above-Ground | biomass | Based on Multispectral Fusion Data and Ensemble Learning Algorithm, A |
| Object-Based Mapping of Aboveground | biomass | in Tropical Forests Using LiDAR and Very-High-Spatial-Resolution Satellite Data |
| On the Radiative Impact of | biomass | -Burning Aerosols in the Arctic: The August 2017 Case Study |
| Optical and Microphysical Properties of Aged | biomass | Burning Aerosols and Mixtures, Based on 9-Year Multiwavelength Raman Lidar Observations in Athens, Greece |
| Optimal Combination of Predictors and Algorithms for Forest Above-Ground | biomass | Mapping from Sentinel and SRTM Data |
| Optimising three-band spectral indices to assess aerial N concentration, N uptake and aboveground | biomass | of winter wheat remotely in China and Germany |
| Optimization of Samples for Remote Sensing Estimation of Forest Aboveground | biomass | at the Regional Scale |
| Optimization of UAV-Based Imaging and Image Processing Orthomosaic and Point Cloud Approaches for Estimating | biomass | in a Forage Crop |
| Overview of Using Unmanned Aerial System Mounted Sensors to Measure Plant Above-Ground | biomass | , An |
| Particle Size Characteristics at the Top of | biomass | Burning Plumes Based on Two Case Studies |
| Pasture | biomass | Estimation Using Ultra-High-Resolution RGB UAVs Images and Deep Learning |
| Penetration Depth Derived from the Synthesis of ALOS/PALSAR InSAR Data and ASTER GDEM for the Mapping of Forest | biomass | , The |
| Performance of five surface energy balance models for estimating daily evapotranspiration in high | biomass | sorghum |
| Phenology-Based | biomass | Estimation to Support Rangeland Management in Semi-Arid Environments |
| Phytoplankton | biomass | and the Hydrodynamic Regime in NEOM, Red Sea |
| Phytoplankton | biomass | Dynamics in the Strait of Malacca within the Period of the SeaWiFS Full Mission: Seasonal Cycles, Interannual Variations and Decadal-Scale Trends |
| Polarimetric ALOS PALSAR Time Series in Mapping | biomass | of Boreal Forests |
| Polarimetric Measures in | biomass | Change Prediction Using ALOS-2 PALSAR-2 Data |
| Polarimetric Radar Vegetation Index for | biomass | Estimation in Desert Fringe Ecosystems |
| Polinsar Based Scattering Information Retrieval for Forest Aboveground | biomass | Estimation |
| PolSAR-Decomposition-Based Extended Water Cloud Modeling for Forest Aboveground | biomass | Estimation |
| Post-Fire Changes in Forest | biomass | Retrieved by Airborne LiDAR in Amazonia |
| Potential of ALOS2 and NDVI to Estimate Forest Above-Ground | biomass | , and Comparison with Lidar-Derived Estimates |
| Potential of Forest | biomass | Inversion Based on Vegetation Indices Using Multi-Angle CHRIS/PROBA Data, The |
| Potential of Fully Polarized ALOS-2 Data for Estimating Forest Above-Ground | biomass | , The |
| Potential of Space-Borne Hyperspectral Data for | biomass | Quantification in an Arid Environment: Advantages and Limitations |
| Potential of texture measurements of two-date dual polarization PALSAR data for the improvement of forest | biomass | estimation |
| Precision Aquaculture Drone Mapping of the Spatial Distribution of Kappaphycus alvarezii | biomass | and Carrageenan |
| Predicting | biomass | and Yield At Harvest of Salt-stressed Tomato Plants Using UAV Imagery |
| Prediction of Aboveground | biomass | of Three Cassava (Manihot esculenta) Genotypes Using a Terrestrial Laser Scanner |
| Prediction of Cereal Rye Cover Crop | biomass | and Nutrient Accumulation Using Multi-Temporal Unmanned Aerial Vehicle Based Visible-Spectrum Vegetation Indices |
| Prediction of Forest Aboveground | biomass | Using Multitemporal Multispectral Remote Sensing Data |
| Prediction of Root | biomass | in Cassava Based on Ground Penetrating Radar Phenomics |
| Prediction of Strawberry Dry | biomass | from UAV Multispectral Imagery Using Multiple Machine Learning Methods |
| Predictions of Tropical Forest | biomass | and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands |
| Predictions of Tropical Forest | biomass | and Biomass Growth Based on Stand Height or Canopy Area Are Improved by Landsat-Scale Phenology across Puerto Rico and the U.S. Virgin Islands |
| Predictive Modeling of Above-Ground | biomass | in Brachiaria Pastures from Satellite and UAV Imagery Using Machine Learning Approaches |
| Preliminary Investigation of the Potential of Sentinel-1 Radar to Estimate Pasture | biomass | in a Grazed Pasture Landscape, A |
| Progress in the remote sensing of C3 and C4 grass species aboveground | biomass | over time and space |
| Proposed Ensemble Feature Selection Method for Estimating Forest Aboveground | biomass | from Multiple Satellite Data, A |
| Quantification of Above-Ground | biomass | over the Cross-River State, Nigeria, Using Sentinel-2 Data |
| Quantifying Aboveground | biomass | of Shrubs Using Spectral and Structural Metrics Derived from UAS Imagery |
| Quantifying Dynamics in Tropical Peat Swamp Forest | biomass | with Multi-Temporal LiDAR Datasets |
| Quantifying Live Aboveground | biomass | and Forest Disturbance of Mountainous Natural and Plantation Forests in Northern Guangdong, China, Based on Multi-Temporal Landsat, PALSAR and Field Plot Data |
| Quantifying Post-Fire Changes in the Aboveground | biomass | of an Amazonian Forest Based on Field and Remote Sensing Data |
| Quantifying Spatiotemporal Dynamics of the Column-Integrated Algal | biomass | in Nonbloom Conditions Based on OLCI Data: A Case Study of Lake Dianchi, China |
| Quantifying the Spatial Heterogeneity and Driving Factors of Aboveground Forest | biomass | in the Urban Area of Xi'an, China |
| Quantitative Genetic Aspects of Accuracy of Tree | biomass | Measurement Using LiDAR |
| Rapid Assessments of Amazon Forest Structure and | biomass | Using Small Unmanned Aerial Systems |
| Rapid Evaluation and Validation Method of Above Ground Forest | biomass | Estimation Using Optical Remote Sensing in Tundi Reserved Forest Area, India |
| Re-Estimating GEDI Ground Elevation Using Deep Learning: Impacts on Canopy Height and Aboveground | biomass | |
| Reducing Uncertainty in Mapping of Mangrove Aboveground | biomass | Using Airborne Discrete Return Lidar Data |
| Reduction in Uncertainty in Forest Aboveground | biomass | Estimation Using Sentinel-2 Images: A Case Study of Pinus densata Forests in Shangri-La City, China |
| Refined Aboveground | biomass | Estimation of Moso Bamboo Forest Using Culm Lengths Extracted from TLS Point Cloud |
| Regional Tropical Aboveground | biomass | Mapping with L-Band Repeat-Pass Interferometric Radar, Sparse Lidar, and Multiscale Superpixels |
| Regression-Based Retrieval of Boreal Forest | biomass | in Sloping Terrain Using P-Band SAR Backscatter Intensity Data |
| Relasphone: Mobile and Participative In Situ Forest | biomass | Measurements Supporting Satellite Image Mapping |
| Relating P-Band Synthetic Aperture Radar Tomography to Tropical Forest | biomass | |
| Relationships of S-Band Radar Backscatter and Forest Aboveground | biomass | in Different Forest Types |
| Relative Efficiency of ALS and InSAR for | biomass | Estimation in a Tanzanian Rainforest |
| Remote Estimation of Above-Ground | biomass | Throughout the Entire Growth Period for Crops with Conspicuous Spikes |
| Remote Sensing Algorithm of Column-Integrated Algal | biomass | Covering Algal Bloom Conditions in a Shallow Eutrophic Lake, A |
| Remote Sensing Approaches for Monitoring Mangrove Species, Structure, and | biomass | : Opportunities and Challenges |
| Remote Sensing Estimates of Grassland Aboveground | biomass | Based on MODIS Net Primary Productivity (NPP): A Case Study in the Xilingol Grassland of Northern China |
| Remote Sensing of Above-Ground | biomass | |
| Remote Sensing of Shrubland Drying in the South-East Mediterranean, 1995-2010: Water-Use-Efficiency-Based Mapping of | biomass | Change |
| Remote Sensing of Tropical Rainforest | biomass | Changes in Hainan Island, China from 2003 to 2018 |
| Remote Sensing-Based | biomass | Estimation and Its Spatio-Temporal Variations in Temperate Grassland, Northern China |
| Remotely sensed | biomass | over steep slopes: An evaluation among successional stands of the Atlantic Forest, Brazil |
| Research Pathways of Forest Above-Ground | biomass | Estimation Based on SAR Backscatter and Interferometric SAR Observations |
| Retrieval of Aged | biomass | -Burning Aerosol Properties by Using GRASP Code in Synergy with Polarized Micro-Pulse Lidar and Sun/Sky Photometer |
| Retrieval of carbon content and | biomass | from hyperspectral imagery over cultivated areas |
| Retrieval of Forest Aboveground | biomass | and Stem Volume with Airborne Scanning LiDAR |
| Retrieval of Grassland Aboveground | biomass | through Inversion of the PROSAIL Model with MODIS Imagery |
| Retrieval of Mangrove Aboveground | biomass | at the Individual Species Level with WorldView-2 Images |
| Retrieval of Salt Marsh Above-Ground | biomass | from High-Spatial Resolution Hyperspectral Imagery Using PROSAIL |
| Retrievals of | biomass | Burning Aerosol and Liquid Cloud Properties from Polarimetric Observations Using Deep Learning Techniques |
| Retrieving Secondary Forest Aboveground | biomass | from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon |
| Revealing the spatial variation in | biomass | uptake rates of Brazil's secondary forests |
| Review of Estimation Methods for Aboveground | biomass | in Grasslands Using UAV, A |
| Review of Machine Learning Approaches for | biomass | and Soil Moisture Retrievals from Remote Sensing Data |
| Review of Regional and Global Gridded Forest | biomass | Datasets, A |
| RGB Image-Derived Indicators for Spatial Assessment of the Impact of Broadleaf Weeds on Wheat | biomass | |
| RGB Indices and Canopy Height Modelling for Mapping Tidal Marsh | biomass | from a Small Unmanned Aerial System |
| SAR-Based Estimation of Above-Ground | biomass | and Its Changes in Tropical Forests of Kalimantan Using L- and C-Band |
| Satellite-Based Assessment of the Distribution and | biomass | of Submerged Aquatic Vegetation in the Optically Shallow Basin of Lake Biwa, A |
| Satellite-Derived Estimation of Grassland Aboveground | biomass | in the Three-River Headwaters Region of China during 1982-2018 |
| Satellite-Observed Variations and Trends in Carbon Monoxide over Asia and Their Sensitivities to | biomass | Burning |
| Scaling | biomass | Estimation by Expanding Ground Truth with UAS-Derived Training Data |
| Seamless Upscaling of the Field-Measured Grassland Aboveground | biomass | Based on Gaussian Process Regression and Gap-Filled Landsat 8 OLI Reflectance |
| Semianalytical Algorithm for Mapping Proportion of Cyanobacterial | biomass | in Eutrophic Inland Lakes Based on OLCI Data, A |
| Sensitivity of L-Band Radar Backscatter to Forest | biomass | in Semiarid Environments: A Comparative Analysis of Parametric and Nonparametric Models |
| Sensitivity of L-Band SAR Backscatter to Aboveground | biomass | of Global Forests |
| Sensitivity of Multi-Source SAR Backscatter to Changes in Forest Aboveground | biomass | |
| Sentinel-2 Images Based Modeling of Grassland Above-Ground | biomass | Using Random Forest Algorithm: A Case Study on the Tibetan Plateau |
| Seventeen-Year Reconstruction of Tropical Forest Aboveground | biomass | Dynamics in Borneo Using GEDI L4B and Multi-Sensor Data Fusion |
| Severe | biomass | -Burning Aerosol Pollution during the 2019 Amazon Wildfire and Its Direct Radiative-Forcing Impact: A Space Perspective from MODIS Retrievals |
| Signatures of Wetland Impact: Spatial Distribution of Forest Aboveground | biomass | in Tumen River Basin |
| Single tree | biomass | modelling using airborne laser scanning |
| Small Field Plots Can Cause Substantial Uncertainty in Gridded Aboveground | biomass | Products from Airborne Lidar Data |
| Small Footprint Full-Waveform Metrics Contribution to the Prediction of | biomass | in Tropical Forests |
| SMOTE-Data-Augmented Machine Learning for Enhancing Individual Tree | biomass | Estimation Using UAV LiDAR |
| Spatial Analysis of | biomass | Resources within a Socio-Ecologically Heterogeneous Region: Identifying Opportunities for a Mixed Feedstock Stream |
| Spatial and Temporal | biomass | and Growth for Grain Crops Using NDVI Time Series |
| Spatial and Temporal Pasture | biomass | Estimation Integrating Electronic Plate Meter, Planet CubeSats and Sentinel-2 Satellite Data |
| Spatial and Temporal Patterns of Forest | biomass | Carbon Sink in China from 1990 to 2021 |
| Spatial Estimation of Daily Growth | biomass | in Paddy Rice Field Using Canopy Photosynthesis Model Based on Ground and UAV Observations |
| Spatial Scale Effect and Correction of Forest Aboveground | biomass | Estimation Using Remote Sensing |
| Spatial-Temporal Characteristics and Driving Forces of Aboveground | biomass | in Desert Steppes of Inner Mongolia, China in the Past 20 Years |
| Spatio-Temporal Estimation of | biomass | Growth in Rice Using Canopy Surface Model from Unmanned Aerial Vehicle Images |
| Spatio-Temporal Patterns and Climate Variables Controlling of | biomass | Carbon Stock of Global Grassland Ecosystems from 1982 to 2006 |
| Spatio-Temporal Variation Characteristics of Aboveground | biomass | in the Headwater of the Yellow River Based on Machine Learning |
| Spatiotemporal Dynamics and Driving Mechanism of Aboveground | biomass | Across Three Alpine Grasslands in Central Asia over the Past 20 Years Using Three Algorithms |
| Spatiotemporal Dynamics and Land Cover Drivers of Herbaceous Aboveground | biomass | in the Yellow River Delta from 2001 to 2022 |
| Spatiotemporal Variations and Characteristics of CO, H2CO and HCN Emissions from | biomass | Burning Monitored by FTIR Spectroscopy |
| Spectroscopic Estimation of | biomass | in Canopy Components of Paddy Rice Using Dry Matter and Chlorophyll Indices |
| Statistical Properties of Mean Stand | biomass | Estimators in a Lidar-Based Double Sampling Forest Survey Design |
| Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest | biomass | assessment |
| Stratification-Based Forest Aboveground | biomass | Estimation in a Subtropical Region Using Airborne Lidar Data |
| Study on Prediction of Potato Above-Ground | biomass | and Yield Based on UAV Visible Light Image |
| Subtropical Forest | biomass | Estimation Using Airborne Lidar And Hyperspectral Data |
| Sugarcane | biomass | Prediction with Multi-Mode Remote Sensing Data Using Deep Archetypal Analysis and Integrated Learning |
| Synergistic Effects and Differential Roles of Dual-Frequency and Multi-Dimensional SAR Features in Forest Aboveground | biomass | and Component Estimation |
| Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground | biomass | with Deep Learning |
| Synergy of UAV-LiDAR Data and Multispectral Remote Sensing Images for Allometric Estimation of Phragmites Australis Aboveground | biomass | in Coastal Wetland |
| Synthesis of L-Band SAR and Forest Heights Derived from TanDEM-X DEM and 3 Digital Terrain Models for | biomass | Mapping |
| Synthesis of Leaf-on and Leaf-off Unmanned Aerial Vehicle (UAV) Stereo Imagery for the Inventory of Aboveground | biomass | of Deciduous Forests |
| Systematic Review of the Factors Influencing the Estimation of Vegetation Aboveground | biomass | Using Unmanned Aerial Systems, A |
| TanDEM-X digital surface models in boreal forest above-ground | biomass | change detection |
| Temporal Changes in Mediterranean Pine Forest | biomass | Using Synergy Models of ALOS PALSAR-Sentinel 1-Landsat 8 Sensors |
| Temporal Variability of Precipitation and | biomass | of Alpine Grasslands on the Northern Tibetan Plateau |
| TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground | biomass | and Stem Volume |
| Terrestrial Laser Scanning for Non-Destructive Estimation of Aboveground | biomass | in Short-Rotation Poplar Coppices |
| Terrestrial laser scanning for plant height measurement and | biomass | estimation of maize |
| Three-Dimensional Conceptual Model for Estimating the Above-Ground | biomass | of Winter Wheat Using Digital and Multispectral Unmanned Aerial Vehicle Images at Various Growth Stages, A |
| Three-Dimensional Distribution of | biomass | Burning Aerosols from Australian Wildfires Observed by TROPOMI Satellite Observations |
| Three-Stage Up-Scaling and Uncertainty Estimation in Forest Aboveground | biomass | Based on Multi-Source Remote Sensing Data Considering Spatial Correlation |
| Topographic Correction of ZY-3 Satellite Images and Its Effects on Estimation of Shrub Leaf | biomass | in Mountainous Areas |
| Toward a More Robust Estimation of Forest | biomass | Carbon Stock and Carbon Sink in Mountainous Region: A Case Study in Tibet, China |
| Toward Automated Machine Learning-Based Hyperspectral Image Analysis in Crop Yield and | biomass | Estimation |
| Towards Prediction and Mapping of Grassland Aboveground | biomass | Using Handheld LiDAR |
| Towards the large-scale assessment of vegetation | biomass | production stability |
| Tracking Phytoplankton | biomass | Amid Wildfire Smoke Interference Using Landsat 8 OLI |
| Training Area Concept in a Two-Phase | biomass | Inventory Using Airborne Laser Scanning and RapidEye Satellite Data |
| Trees, Forest, Stem Volume, Aboveground | biomass | Measurements |
| Tropical Deforestation and Recolonization by Exotic and Native Trees: Spatial Patterns of Tropical Forest | biomass | , Functional Groups, and Species Counts and Links to Stand Age, Geoclimate, and Sustainability Goals |
| Tropical Peatland Vegetation Structure and | biomass | : Optimal Exploitation of Airborne Laser Scanning |
| UAS Remote Sensing for Coastal Wetland Vegetation | biomass | Estimation: A Destructive vs. Non-Destructive Sampling Experiment |
| UAV-based Automatic Tree Growth Measurement For | biomass | Estimation |
| UAV-Based | biomass | Estimation for Rice-Combining Spectral, TIN-Based Structural and Meteorological Features |
| UAV-Based LiDAR for High-Throughput Determination of Plant Height and Above-Ground | biomass | of the Bioenergy Grass Arundo donax |
| UAV-Based Stand Density Estimation for Aboveground | biomass | Mapping in Moso Bamboo Forests |
| Ultra-high Spatial Resolution Uav-based Imagery to Predict | biomass | In Temperate Grasslands |
| Ultrasonic Arrays for Remote Sensing of Pasture | biomass | |
| Ultrasonic Proximal Sensing of Pasture | biomass | |
| Uncertainty Analysis of Remote Sensing Pretreatment for | biomass | Estimation on Landsat OLI and Landsat ETM+ |
| Uncertainty of Forest | biomass | Estimates in North Temperate Forests Due to Allometry: Implications for Remote Sensing |
| Unified Deep Learning Model for Global Prediction of Aboveground | biomass | , Canopy Height, and Cover from High-Resolution, Multi-Sensor Satellite Imagery |
| Unmanned Aerial Vehicle-Based Hyperspectral Imaging Integrated with a Data Cleaning Strategy for Detection of Corn Canopy | biomass | , Chlorophyll, and Nitrogen Contents at Plant Scale |
| Unsupervised domain adaptation and super resolution on drone images for autonomous dry herbage | biomass | estimation |
| Upscaling Frameworks Drive Prediction Accuracy and Uncertainty When Mapping Aboveground | biomass | Density from the Synergism of Spaceborne LiDAR, SAR, and Passive Optical Data |
| Urban Above-Ground | biomass | Estimation Using GEDI Laser Data and Optical Remote Sensing Images |
| Use of Oblique RGB Imagery and Apparent Surface Area of Plants for Early Estimation of Above-Ground Corn | biomass | |
| Use of Remotely Sensed Data to Enhance Estimation of Aboveground | biomass | for the Dry Afromontane Forest in South-Central Ethiopia |
| Use Of Satellite Imagery To Guide Field Plot Sampling Scheme For | biomass | Estimation In Ghanaian Forest, The |
| Use Remote Sensing and Machine Learning to Study the Changes of Broad-Leaved Forest | biomass | and Their Climate Driving Forces in Nature Reserves of Northern Subtropics |
| Using Airborne Lidar, Multispectral Imagery, and Field Inventory Data to Estimate Basal Area, Volume, and Aboveground | biomass | in Heterogeneous Mixed Species Forests: A Case Study in Southern Alabama |
| Using High-Resolution UAV Imaging to Measure Canopy Height of Diverse Cover Crops and Predict | biomass | |
| Using Hybrid Artificial Intelligence and Evolutionary Optimization Algorithms for Estimating Soybean Yield and Fresh | biomass | Using Hyperspectral Vegetation Indices |
| Using ICESat-2 to Estimate and Map Forest Aboveground | biomass | : A First Example |
| Using Landsat-8 and Sentinel-1 data for Above Ground | biomass | assessment in the Tamar valley and Dartmoor |
| Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground | biomass | and biomass components in a coastal temperate forest |
| Using multi-frequency radar and discrete-return LiDAR measurements to estimate above-ground | biomass | and biomass components in a coastal temperate forest |
| Using Multi-Platform Satellite Observations to Study the Atmospheric Evolution of Brown Carbon in Siberian | biomass | Burning Plumes |
| Using Multispectral UAV Imagery for Rye | biomass | Estimation and SEM-Based Attribution Analysis |
| Using NDVI and EVI to Map Spatiotemporal Variation in the | biomass | and Quality of Forage for Migratory Elk in the Greater Yellowstone Ecosystem |
| Using Remote Sensing Multispectral Imagery for Invasive Species Quantification: The Effect of Image Resolution on Area and | biomass | Estimation |
| Using Remote Sensing to Estimate Understorey | biomass | in Semi-Arid Woodlands of South-Eastern Australia |
| Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total | biomass | and Biomass Components in Subtropical Forests |
| Using Small-Footprint Discrete and Full-Waveform Airborne LiDAR Metrics to Estimate Total | biomass | and Biomass Components in Subtropical Forests |
| Using support vector regression and segmentation to estimate forest height, | biomass | and volume from LiDAR transects and Quickbird imagery |
| Using UAV-Based SOPC Derived LAI and SAFY Model for | biomass | and Yield Estimation of Winter Wheat |
| Validated and Accurate Method for Quantifying and Extrapolating Mangrove Above-Ground | biomass | Using LiDAR Data, A |
| Variables Selection for Aboveground | biomass | Estimations Using Satellite Data: A Comparison between Relative Importance Approach and Stepwise Akaike's Information Criterion |
| Vegetation Index Weighted Canopy Volume Model (CVMVI) for soybean | biomass | estimation from Unmanned Aerial System-based RGB imagery |
| Woody Above-Ground | biomass | Estimation on Abandoned Agriculture Land Using Sentinel-1 and Sentinel-2 Data |
| Woody Aboveground | biomass | Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach |
| Woody | biomass | Estimation in a Southwestern U.S. Juniper Savanna Using LiDAR-Derived Clumped Tree Segmentation and Existing Allometries |
| World's Largest Macroalgal Blooms Altered Phytoplankton | biomass | in Summer in the Yellow Sea: Satellite Observations |
| WRF Simulations of Passive Tracer Transport from | biomass | Burning in South America: Sensitivity to PBL Schemes |
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