| _ | rice | _ |
|---|
| Adaptive coding of DCT coefficients by Golomb- | rice | codes |
| Agronomic and Economic Potential of Vegetation Indices for | rice | Recommendations under Organic and Mineral Fertilization in Mediterranean Regions |
| Air Temperature Monitoring over Low Latitude | rice | Planting Areas: Combining Remote Sensing, Model Assimilation, and Machine Learning Techniques |
| Analysis of Crop Reflectance for Estimating Biomass in | rice | Canopies at Different Phenological Stages |
| Analysis of the fractal characteristic of the hyperspectral curves of the | rice | under plumbum pollution stress |
| Approach to High-Resolution | rice | Paddy Mapping Using Time-Series Sentinel-1 SAR Data in the Mun River Basin, Thailand, An |
| Asian | rice | Calendar Dynamics Detected by Remote Sensing and Their Climate Drivers |
| Assessing Correlation of High-Resolution NDVI with Fertilizer Application Level and Yield of | rice | and Wheat Crops Using Small UAVs |
| Assessing Interactions between Nitrogen Supply and Leaf Blast in | rice | by Hyperspectral Imaging |
| Assessing | rice | Sheath Blight Disease Habitat Suitability at a Regional Scale through Multisource Data Analysis |
| Assessing the Operation Parameters of a Low-altitude UAV for the Collection of NDVI Values Over a Paddy | rice | Field |
| Assessment of digital camera-derived vegetation indices in quantitative monitoring of seasonal | rice | growth |
| Assessment of Leaf Area Index of | rice | for a Growing Cycle Using Multi-Temporal C-Band PolSAR Datasets |
| Assessment of MODIS spectral indices for determining | rice | paddy agricultural practices and hydroperiod |
| Assessment of Regression Models for Predicting | rice | Yield and Protein Content Using Unmanned Aerial Vehicle-Based Multispectral Imagery |
| Assessment of Water Management Changes in the Italian | rice | Paddies from 2000 to 2016 Using Satellite Data: A Contribution to Agro-Ecological Studies |
| Assimilating Remote Sensing Phenological Information into the WOFOST Model for | rice | Growth Simulation |
| Automated Near-Real-Time Mapping and Monitoring of | rice | Extent, Cropping Patterns, and Growth Stages in Southeast Asia Using Sentinel-1 Time Series on a Google Earth Engine Platform |
| Automatic Counting of in situ | rice | Seedlings from UAV Images Based on a Deep Fully Convolutional Neural Network |
| Automatic Mapping of | rice | Growth Stages Using the Integration of SENTINEL-2, MOD13Q1, and SENTINEL-1 |
| Automatic Method for | rice | Mapping Based on Phenological Features with Sentinel-1 Time-Series Images, An |
| Automatic | rice | Early-Season Mapping Based on Simple Non-Iterative Clustering and Multi-Source Remote Sensing Images |
| Backscattering Statistics of Indoor Full-Polarization Scatterometric and Synthetic Aperture Radar Measurements of a | rice | Field |
| Bi-Temporal-Feature-Difference- and Object-Based Method for Mapping | rice | -Crayfish Fields in Sihong, China, A |
| Bibliometric and Visualized Analysis of Research Progress and Trends in | rice | Remote Sensing over the Past 42 Years (1980-2021), A |
| Characterization of L-Band MIMP SAR Data From | rice | Paddies at Late Vegetative Stage |
| Classification and Mapping of Paddy | rice | by Combining Landsat and SAR Time Series Data |
| Cloud Cover throughout All the Paddy | rice | Fields in Guangdong, China: Impacts on Sentinel 2 MSI and Landsat 8 OLI Optical Observations |
| Combining Color Indices and Textures of UAV-Based Digital Imagery for | rice | LAI Estimation |
| Combining Remote Sensing and Meteorological Data for Improved | rice | Plant Potassium Content Estimation |
| Combining Spectral and Texture Features of UAV Images for the Remote Estimation of | rice | LAI throughout the Entire Growing Season |
| Comparative analysis of texture feature extraction techniques for | rice | grain classification |
| Comparative Sensitivity of Vegetation Indices Measured via Proximal and Aerial Sensors for Assessing N Status and Predicting Grain Yield in | rice | Cropping Systems |
| Comparison of Cloud-Mask Algorithms and Machine-Learning Methods Using Sentinel-2 Imagery for Mapping Paddy | rice | in Jianghan Plain |
| Comparison of NDVIs from GOCI and MODIS Data towards Improved Assessment of Crop Temporal Dynamics in the Case of Paddy | rice | |
| Comparison of Several UAV-Based Multispectral Imageries in Monitoring | rice | Paddy (A Case Study in Paddy Fields in Tottori Prefecture, Japan), A |
| Complementarity of Two | rice | Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR |
| Complementarity of Two | rice | Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR |
| Conceptual Architecture and Service-Oriented Implementation of a Regional Geoportal for | rice | Monitoring |
| Contribution of Biophysical Factors to Regional Variations of Evapotranspiration and Seasonal Cooling Effects in Paddy | rice | in South Korea |
| Critical Comparison of Remote Sensing Leaf Area Index Estimates over | rice | -Cultivated Areas: From Sentinel-2 and Landsat-7/8 to MODIS, GEOV1 and EUMETSAT Polar System, A |
| Crop Species Recognition And Discrimination Paddy- | rice | -growingfields From Reaped-fields By The Radar Vegetation Index (rvi) Of Alos-2/palsar2 |
| Damage Assessment of | rice | Crop after Toluene Exposure Based on the Vegetation Index (VI) and UAV Multispectral Imagery |
| Decision-Tree Approach to Identifying Paddy | rice | Lodging with Multiple Pieces of Polarization Information Derived from Sentinel-1, A |
| Decline in Planting Areas of Double-Season | rice | by Half in Southern China over the Last Two Decades |
| Decreasing | rice | Cropping Intensity in Southern China from 1990 to 2015 |
| Deep Convolutional Neural Network for | rice | Density Prescription Map at Ripening Stage Using Unmanned Aerial Vehicle-Based Remotely Sensed Images |
| Deep Learning Applications on Multitemporal SAR (Sentinel-1) Image Classification Using Confined Labeled Data: The Case of Detecting | rice | Paddy in South Korea |
| Deep ResU-Net Convolutional Neural Networks Segmentation for Smallholder Paddy | rice | Mapping Using Sentinel 1 SAR and Sentinel 2 Optical Imagery |
| Deep-Learning-Based | rice | Phenological Stage Recognition |
| Detection and Classification of | rice | Infestation with Rice Leaf Folder (Cnaphalocrocis medinalis) Using Hyperspectral Imaging Techniques |
| Detection and Classification of | rice | Infestation with Rice Leaf Folder (Cnaphalocrocis medinalis) Using Hyperspectral Imaging Techniques |
| Detection of | rice | Phenological Variations under Heavy Metal Stress by Means of Blended Landsat and MODIS Image Time Series |
| Determination of Amylose content in | rice | using electronic tongue |
| Determining | rice | Growth Stage with X-Band SAR: A Metamodel Based Inversion |
| Developing a Proximal Active Canopy Sensor-based Precision Nitrogen Management Strategy for High-Yielding | rice | |
| Developing an Active Canopy Sensor-Based Integrated Precision | rice | Management System for Improving Grain Yield and Quality, Nitrogen Use Efficiency, and Lodging Resistance |
| Development of a Novel Bidirectional Canopy Reflectance Model for Row-Planted | rice | and Wheat |
| Development of a Remote Sensing-Based Boro | rice | Mapping System |
| Development of Prediction Models for Estimating Key | rice | Growth Variables Using Visible and NIR Images from Unmanned Aerial Systems |
| Distinguishing between Hazardous Flooding and Non-Hazardous Agronomic Inundation in Irrigated | rice | Fields: A Case Study from West Java |
| Double- | rice | System Simulation in a Topographically Diverse Region: A Remote-Sensing-Driven Case Study in Hunan Province of China |
| Drone-Based Hyperspectral and Thermal Imagery for Quantifying Upland | rice | Productivity and Water Use Efficiency after Biochar Application |
| 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 Mapping of | rice | Growth Parameters Using HJ-1 CCD Time Series Data |
| ECA-ConvNeXt: A | rice | Leaf Disease Identification Model Based on ConvNeXt |
| Effects of Growth Stage Development on Paddy | rice | Leaf Area Index Prediction Models |
| Empirical Regression Models for Estimating Multiyear Leaf Area Index of | rice | from Several Vegetation Indices at the Field Scale |
| Enhanced CNN Classification Capability for Small | rice | Disease Datasets Using Progressive WGAN-GP: Algorithms and Applications |
| Enhanced Leaf Area Index Estimation in | rice | by Integrating UAV-Based Multi-Source Data |
| enhanced pixel-based phenological feature for accurate paddy | rice | mapping with Sentinel-2 imagery in Google Earth Engine, An |
| Enhancing the Nitrogen Signals of | rice | Canopies across Critical Growth Stages through the Integration of Textural and Spectral Information from Unmanned Aerial Vehicle (UAV) Multispectral Imagery |
| Estimate Leaf Chlorophyll of | rice | Using Reflectance Indices and Partial Least Squares |
| Estimating FAPAR of | rice | Growth Period Using Radiation Transfer Model Coupled with the WOFOST Model for Analyzing Heavy Metal Stress |
| Estimating Gross Primary Productivity (GPP) over | rice | -Wheat-Rotation Croplands by Using the Random Forest Model and Eddy Covariance Measurements: Upscaling and Comparison with the MODIS Product |
| Estimating Leaf Area Index with a New Vegetation Index Considering the Influence of | rice | Panicles |
| Estimating Plant Nitrogen Concentration of | rice | through Fusing Vegetation Indices and Color Moments Derived from UAV-RGB Images |
| Estimating | rice | Agronomic Traits Using Drone-Collected Multispectral Imagery |
| Estimating | rice | Leaf Nitrogen Concentration: Influence of Regression Algorithms Based on Passive and Active Leaf Reflectance |
| Estimating | rice | yield related traits and quantitative trait loci analysis under different nitrogen treatments using a simple tower-based field phenotyping system with modified single-lens reflex cameras |
| Estimating the Gross Primary Production and Evapotranspiration of | rice | Paddy Fields in the Sub-Tropical Region of China Using a Remotely-Sensed Based Water-Carbon Coupled Model |
| Estimation of Canopy Biomass Components in Paddy | rice | from Combined Optical and SAR Data Using Multi-Target Gaussian Regressor Stacking |
| Estimation of Leaf Nitrogen Content in | rice | Using Vegetation Indices and Feature Variable Optimization with Information Fusion of Multiple-Sensor Images from UAV |
| Estimation of Methane Emissions from | rice | Paddies in the Mekong Delta Based on Land Surface Dynamics Characterization with Remote Sensing |
| Estimation of Nitrogen in | rice | Crops from UAV-Captured Images |
| Estimation of Paddy | rice | Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery |
| Estimation of Paddy | rice | Variables with a Modified Water Cloud Model and Improved Polarimetric Decomposition Using Multi-Temporal RADARSAT-2 Images |
| Estimation of | rice | Growth Parameters Based on Linear Mixed-Effect Model Using Multispectral Images from Fixed-Wing Unmanned Aerial Vehicles |
| Estimation of | rice | Height and Biomass Using Multitemporal SAR Sentinel-1 for Camargue, Southern France |
| Estimation of vertical plant area density profiles in a | rice | canopy at different growth stages by high-resolution portable scanning lidar with a lightweight mirror |
| Evaluating Effects of Medium-Resolution Optical Data Availability on Phenology-Based | rice | Mapping in China |
| Evaluation and Comparison of Semantic Segmentation Networks for | rice | Identification Based on Sentinel-2 Imagery |
| Evaluation of a Phenology-Dependent Response Method for Estimating Leaf Area Index of | rice | Across Climate Gradients |
| Evaluation of Geographical and Annual Changes in | rice | Planting Patterns Using Satellite Images in the Flood-Prone Area of the Pampanga River Basin, the Philippines |
| Evaluation of One-Class Support Vector Classification for Mapping the Paddy | rice | Planting Area in Jiangsu Province of China from Landsat 8 OLI Imagery |
| Evaluation of RGB, Color-Infrared and Multispectral Images Acquired from Unmanned Aerial Systems for the Estimation of Nitrogen Accumulation in | rice | |
| Evaluation of Terrestrial Laser Scanning for | rice | Growth Monitoring |
| Evaluation of the S-NPP VIIRS land surface temperature product using ground data acquired by an autonomous system at a | rice | paddy |
| Evolution of regional to global paddy | rice | mapping methods: A review |
| Exploitation of SAR and Optical Sentinel Data to Detect | rice | Crop and Estimate Seasonal Dynamics of Leaf Area Index |
| Exploring the Vertical Distribution of Structural Parameters and Light Radiation in | rice | Canopies by the Coupling Model and Remote Sensing |
| Extraction of Areas of | rice | False Smut Infection Using UAV Hyperspectral Data |
| Fast Computation of Zernike Moments For | rice | Sorting System |
| Feasibility of Combining Deep Learning and RGB Images Obtained by Unmanned Aerial Vehicle for Leaf Area Index Estimation in | rice | |
| Field-Scale | rice | Yield Estimation Using Sentinel-1A Synthetic Aperture Radar (SAR) Data in Coastal Saline Region of Jiangsu Province, China |
| Fine Classification of | rice | Paddy Based on RHSI-DT Method Using Multi-Temporal Compact Polarimetric SAR Data |
| Flooded Area Extraction of | rice | Paddy Field in Indonesia Using Sentinel-1 Sar Data |
| full resolution deep learning network for paddy | rice | mapping using Landsat data, A |
| Graph-Based Data Fusion Applied to Change Detection and Biomass Estimation in | rice | Crops |
| High Resolution Distribution Dataset of Double-Season Paddy | rice | in China |
| High-Resolution Mapping of Paddy | rice | Extent and Growth Stages across Peninsular Malaysia Using a Fusion of Sentinel-1 and 2 Time Series Data in Google Earth Engine |
| High-Resolution National-Scale Mapping of Paddy | rice | Based on Sentinel-1/2 Data |
| High-Resolution | rice | Mapping Based on SNIC Segmentation and Multi-Source Remote Sensing Images |
| High-Resolution Spatial and Time-Series Labeled Unmanned Aerial Vehicle Image Dataset for Middle-Season | rice | , A |
| Historical mapping of | rice | fields in Japan using phenology and temporally aggregated Landsat images in Google Earth Engine |
| Hyperspectral Analysis Of | rice | Phenological Stages In Northeast China |
| Hyperspectral Reflectance Characteristics of | rice | Canopies under Changes in Diffuse Radiation Fraction |
| Identifying Dry-Season | rice | -Planting Patterns in Bangladesh Using the Landsat Archive |
| Identifying floods and flood-affected paddy | rice | fields in Bangladesh based on Sentinel-1 imagery and Google Earth Engine |
| Identifying Spatial Determinants of | rice | Yields in Main Producing Areas of China Using Geospatial Machine Learning |
| Improved Accuracy of Phenological Detection in | rice | Breeding by Using Ensemble Models of Machine Learning Based on UAV-RGB Imagery |
| Improved Remote Sensing Methods to Detect Northern Wild | rice | (Zizania palustris L.) |
| Improving Unmanned Aerial Vehicle Remote Sensing-Based | rice | Nitrogen Nutrition Index Prediction with Machine Learning |
| In-Season Diagnosis of | rice | Nitrogen Status Using Proximal Fluorescence Canopy Sensor at Different Growth Stages |
| Integrating the Textural and Spectral Information of UAV Hyperspectral Images for the Improved Estimation of | rice | Aboveground Biomass |
| Integration of Visible and Thermal Imagery with an Artificial Neural Network Approach for Robust Forecasting of Canopy Water Content in | rice | |
| Inter-Continental Transfer of Pre-Trained Deep Learning | rice | Mapping Model and Its Generalization Ability |
| Inversion of | rice | canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models |
| Investigating Within-Field Variability of | rice | from High Resolution Satellite Imagery in Qixing Farm County, Northeast China |
| Laboratory Visible and Near-Infrared Spectroscopy with Genetic Algorithm-Based Partial Least Squares Regression for Assessing the Soil Phosphorus Content of Upland and Lowland | rice | Fields in Madagascar |
| Large-scale | rice | mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model |
| Large-Scale | rice | Mapping Using Multi-Task Spatiotemporal Deep Learning and Sentinel-1 SAR Time Series |
| Leaf Spectral Analysis for Detection and Differentiation of Three Major | rice | Diseases in the Philippines |
| Learning spectral-spatial representations from VHR images for fine-scale crop type mapping: A case study of | rice | -crayfish field extraction in South China |
| Light Environment and LAI Monitoring In | rice | Community By Ground- And UAV-based Remote Sensing |
| Lossless Color Image Compression Architecture Using a Parallel Golomb- | rice | Hardware CODEC, A |
| Lowland | rice | Mapping in Sedhiou Region (Senegal) Using Sentinel 1 and Sentinel 2 Data and Random Forest |
| Management Zone Delineation for Site-Specific Fertilization in | rice | Crop Using Multi-Temporal RapidEye Imagery |
| Mapping a Cloud-Free | rice | Growth Stages Using the Integration of PROBA-V and Sentinel-1 and Its Temporal Correlation with Sub-District Statistics |
| Mapping a Paddy | rice | Area in a Cloudy and Rainy Region Using Spatiotemporal Data Fusion and a Phenology-Based Algorithm |
| Mapping and Monitoring | rice | Agriculture with Multisensor Temporal Mixture Models |
| Mapping Diverse Paddy | rice | Cropping Patterns in South China Using Harmonized Landsat and Sentinel-2 Data |
| Mapping Flooded | rice | Paddies Using Time Series of MODIS Imagery in the Krishna River Basin, India |
| Mapping Leaf Area Index at Various | rice | Growth Stages in Southern India Using Airborne Hyperspectral Remote Sensing |
| Mapping paddy | rice | agriculture over China using AMSR-E time series data |
| Mapping Paddy | rice | Distribution and Cropping Intensity in China from 2014 to 2019 with Landsat Images, Effective Flood Signals, and Google Earth Engine |
| Mapping Paddy | rice | Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform |
| Mapping Paddy | rice | in China in 2002, 2005, 2010 and 2014 with MODIS Time Series |
| Mapping Paddy | rice | in Complex Landscapes with Landsat Time Series Data and Superpixel-Based Deep Learning Method |
| Mapping paddy | rice | planting area in cold temperate climate region through analysis of time series Landsat 8 (OLI), Landsat 7 (ETM+) and MODIS imagery |
| Mapping Paddy | rice | Planting Area in Dongting Lake Area Combining Time Series Sentinel-1 and Sentinel-2 Images |
| Mapping Paddy | rice | Planting Area in Northeastern China Using Spatiotemporal Data Fusion and Phenology-Based Method |
| Mapping paddy | rice | planting areas through time series analysis of MODIS land surface temperature and vegetation index data |
| Mapping Paddy | rice | Using a Convolutional Neural Network (CNN) with Landsat 8 Datasets in the Dongting Lake Area, China |
| Mapping Paddy | rice | Using Sentinel-1 SAR Time Series in Camargue, France |
| Mapping Paddy | rice | with Sentinel-1/2 and Phenology-, Object-Based Algorithm: A Implementation in Hangjiahu Plain in China Using GEE Platform |
| Mapping Ratoon | rice | Planting Area in Central China Using Sentinel-2 Time Stacks and the Phenology-Based Algorithm |
| Mapping | rice | Cropping Systems in Vietnam Using an NDVI-Based Time-Series Similarity Measurement Based on DTW Distance |
| Mapping | rice | Fields in Urban Shanghai, Southeast China, Using Sentinel-1A and Landsat 8 Datasets |
| Mapping | rice | Paddy Based on Machine Learning with Sentinel-2 Multi-Temporal Data: Model Comparison and Transferability |
| Mapping | rice | Paddy Distribution Using Remote Sensing by Coupling Deep Learning with Phenological Characteristics |
| Mapping | rice | Seasonality in the Mekong Delta with Multi-Year Envisat ASAR WSM Data |
| Mapping seasonal | rice | cropland extent and area in the high cropping intensity environment of Bangladesh using MODIS 500 mu-m data for the year 2010 |
| Mapping up-to-Date Paddy | rice | Extent at 10 M Resolution in China through the Integration of Optical and Synthetic Aperture Radar Images |
| Method for Mapping | rice | Fields in Complex Landscape Areas Based on Pre-Trained Convolutional Neural Network from HJ-1 A/B Data |
| Method to Estimate Clear-Sky Albedo of Paddy | rice | Fields, A |
| Modeling and Characteristics of Microwave Backscattering From | rice | Canopy Over Growth Stages |
| Modeling Microwave Backscattering From Parabolic | rice | Leaves |
| Modeling Mid-Season | rice | Nitrogen Uptake Using Multispectral Satellite Data |
| Modified Shape Model Incorporating Continuous Accumulated Growing Degree Days for Phenology Detection of Early | rice | , A |
| Modified Spatiotemporal Fusion Algorithm Using Phenological Information for Predicting Reflectance of Paddy | rice | in Southern China, A |
| modified threshold score-based multilevel thresholding segmentation technique for brain magnetic resonance images using opposition-based learning hybrid | rice | optimization algorithm, A |
| Monitoring and Mapping of | rice | Cropping Pattern in Flooding Area in the Vietnamese Mekong Delta Using Sentinel-1A Data: A Case of An Giang Province |
| Monitoring Changes in | rice | Cultivated Area from SAR and Optical Satellite Images in Ben Tre and Tra Vinh Provinces in Mekong Delta, Vietnam |
| Monitoring Hybrid | rice | Phenology at Initial Heading Stage Based on Low-Altitude Remote Sensing Data |
| Monitoring | rice | Agriculture across Myanmar Using Time Series Sentinel-1 Assisted by Landsat-8 and PALSAR-2 |
| Monitoring | rice | Phenology Based on Backscattering Characteristics of Multi-Temporal RADARSAT-2 Datasets |
| Monitoring Spatio-Temporal Distribution of | rice | Planting Area in the Yangtze River Delta Region Using MODIS Images |
| Multimodal Deep Learning for | rice | Yield Prediction Using UAV-Based Multispectral Imagery and Weather Data |
| Multitemporal Monitoring of Plant Area Index in the Valencia | rice | District with PocketLAI |
| Multitemporal Mountain | rice | Identification and Extraction Method Based on the Optimal Feature Combination and Machine Learning, A |
| Nationwide Projection of | rice | Yield Using a Crop Model Integrated with Geostationary Satellite Imagery: A Case Study in South Korea |
| Nomination-favoured opinion pool for optical-SAR-synergistic | rice | mapping in face of weakened flooding signals |
| Non-destructive Monitoring Of | rice | By Hyperspectral In-field Spectrometry And Uav-based Remote Sensing: Case Study Of Field-grown Rice In North Rhine-westphalia, Germany |
| Non-destructive Monitoring Of | rice | By Hyperspectral In-field Spectrometry And Uav-based Remote Sensing: Case Study Of Field-grown Rice In North Rhine-westphalia, Germany |
| Novel clustering schemes for full and compact polarimetric SAR data: An application for | rice | phenology characterization |
| Novel Combined Spectral Indices Derived from Hyperspectral and Laser-Induced Fluorescence LiDAR Spectra for Leaf Nitrogen Contents Estimation of | rice | |
| Object- and Topology-Based Analysis (OTBA) Method for Mapping | rice | -Crayfish Fields in South China, An |
| Object-Based Flood Mapping and Affected | rice | Field Estimation with Landsat 8 OLI and MODIS Data |
| Object-Based Paddy | rice | Classification Using Multi-Spectral Data and Crop Phenology in Assam, Northeast India, An |
| Paddy | rice | Mapping in Thailand Using Time-Series Sentinel-1 Data and Deep Learning Model |
| Paddy- | rice | Monitoring Using TanDEM-X |
| Performance of Drought Indices in Assessing | rice | Yield in North Korea and South Korea under the Different Agricultural Systems |
| Performances of Vegetation Indices on Paddy | rice | at Elevated Air Temperature, Heat Stress, and Herbicide Damage |
| Phenology Effects on Physically Based Estimation of Paddy | rice | Canopy Traits from UAV Hyperspectral Imagery |
| Phenology-Based Classification of Time-Series MODIS Data for | rice | Crop Monitoring in Mekong Delta, Vietnam, A |
| Phenology-Based | rice | Paddy Mapping Using Multi-Source Satellite Imagery and a Fusion Algorithm Applied to the Poyang Lake Plain, Southern China |
| Phenotyping of xylem vessels for drought stress analysis in | rice | |
| Physically Interpretable | rice | Field Extraction Model for PolSAR Imagery, A |
| Pixel-grain prediction and K-order UEG- | rice | entropy coding oriented lossless frame memory compression for motion estimation in HEVC |
| Polarimetric Response of | rice | Fields at C-Band: Analysis and Phenology Retrieval |
| Potential of RapidEye and WorldView-2 Satellite Data for Improving | rice | Nitrogen Status Monitoring at Different Growth Stages |
| Potential of VIS-NIR-SWIR Spectroscopy from the Chinese Soil Spectral Library for Assessment of Nitrogen Fertilization Rates in the Paddy- | rice | Region, China |
| Potential of X-Band Images from High-Resolution Satellite SAR Sensors to Assess Growth and Yield in Paddy | rice | |
| Predicting A Growing Stage of | rice | Plants Based on The Cropping Records over 25 Years: A Trial of Feature Engineering Incorporating Hidden Regional Characteristics |
| Predicting grain yield in | rice | using multi-temporal vegetation indices from UAV-based multispectral and digital imagery |
| Predicting | rice | Grain Yield Based on Dynamic Changes in Vegetation Indexes during Early to Mid-Growth Stages |
| Prompt Proxy Mapping of Flood Damaged | rice | Fields Using MODIS-Derived Indices |
| Qualifications of | rice | Growth Indicators Optimized at Different Growth Stages Using Unmanned Aerial Vehicle Digital Imagery |
| Quantification of Changes in | rice | Production for 2003-2019 with MODIS LAI Data in Pursat Province, Cambodia |
| Quantification of Physiological Parameters of | rice | Varieties Based on Multi-Spectral Remote Sensing and Machine Learning Models |
| Quantitative Monitoring of Leaf Area Index in | rice | Based on Hyperspectral Feature Bands and Ridge Regression Algorithm |
| R-Unet: A Deep Learning Model for | rice | Extraction in Rio Grande do Sul, Brazil |
| Rapid Assessment of Crop Status: An Application of MODIS and SAR Data to | rice | Areas in Leyte, Philippines Affected by Typhoon Haiyan |
| Rapid Assessment of Flood Inundation and Damaged | rice | Area in Red River Delta from Sentinel 1A Imagery |
| Rayleigh- | rice | Mixture Parameter Estimation via EM Algorithm for Change Detection in Multispectral Images |
| Real-Time Identification of | rice | Weeds by UAV Low-Altitude Remote Sensing Based on Improved Semantic Segmentation Model |
| Reduced-complexity entropy coding of transform coefficient levels using truncated golomb- | rice | codes in video compression |
| Relating X-band SAR Backscattering to Leaf Area Index of | rice | in Different Phenological Phases |
| Relationship Between | rice | Residue Burning and Increasing Air Pollution In North-west India |
| Remote Sensing Based Yield Estimation of | rice | (Oryza Sativa L.) Using Gradient Boosted Regression in India |
| Remote Sensing Monitoring of | rice | and Wheat Canopy Nitrogen: A Review |
| Remote Sensing Monitoring of | rice | Grain Protein Content Based on a Multidimensional Euclidean Distance Method |
| Remotely detecting canopy nitrogen concentration and uptake of paddy | rice | in the Northeast China Plain |
| Repaid Identification and Prediction of Cadmium-Lead Cross-Stress of Different Stress Levels in | rice | Canopy Based on Visible and Near-Infrared Spectroscopy |
| Representation Learning with a Variational Autoencoder for Predicting Nitrogen Requirement in | rice | |
| Research and Implement of Head Milled | rice | Detection High-Speed Algorithm Based on FPGA |
| Retrospective Predictions of | rice | and Other Crop Production in Madagascar Using Soil Moisture and an NDVI-Based Calendar from 2010-2017 |
| Review on | rice | Crop Disease Classification Using Computational Approach, A |
| rice | and Greenhouse Identification in Plateau Areas Incorporating Sentinel-1/2 Optical and Radar Remote Sensing Data from Google Earth Engine |
| rice | Area Inter Annual Variation through a Remote Sensing Based Mapping Algorithm |
| rice | Crop Analysis, Production, Detection, Health, Change |
| rice | Crop Detection Using LSTM, Bi-LSTM, and Machine Learning Models from Sentinel-1 Time Series |
| rice | Crop Height Inversion from TanDEM-X PolInSAR Data Using the RVoG Model Combined with the Logistic Growth Equation |
| rice | Crop Mapping Using Sentinel-1 Time Series Images (case Study: Mazandaran, Iran) |
| rice | Crop Mapping Using Sentinel-1a Phenological Metrics |
| rice | Crop Monitoring Using Sentinel-1 SAR Data: A Case Study in Saku, Japan |
| rice | False Smut Detection and Prescription Map Generation in a Complex Planting Environment, with Mixed Methods, Based on Near Earth Remote Sensing |
| rice | False Smut Monitoring Based on Band Selection of UAV Hyperspectral Data |
| rice | Fields Mapping in Fragmented Area Using Multi-Temporal HJ-1A/B CCD Images |
| rice | Height Estimation with Multi-Baseline PolInSAR Data and Optimal Detection Baseline Combination Analysis |
| rice | Height Monitoring between Different Estimation Models Using UAV Photogrammetry and Multispectral Technology |
| rice | Impact Illness Acknowledgment Employing a Profound Convolutional Neural Arrange |
| rice | Leaf Blast Classification Method Based on Fused Features and One-Dimensional Deep Convolutional Neural Network |
| rice | Mapping and Growth Monitoring Based on Time Series GF-6 Images and Red-Edge Bands |
| rice | Mapping in a Subtropical Hilly Region Based on Sentinel-1 Time Series Feature Analysis and the Dual Branch BiLSTM Model |
| rice | Mapping in Training Sample Shortage Regions Using a Deep Semantic Segmentation Model Trained on Pseudo-Labels |
| rice | Phenology Monitoring by Means of SAR Polarimetry at X-Band |
| rice | Planting Area Identification Based on Multi-Temporal Sentinel-1 SAR Images and an Attention U-Net Model |
| rice | Seedling Detection in UAV Images Using Transfer Learning and Machine Learning |
| rice | Yield Estimation Based on Vegetation Index and Florescence Spectral Information from UAV Hyperspectral Remote Sensing |
| rice | Yield Estimation Through Assimilating Satellite Data Into A Crop Simumlation Model |
| rice | Yield Prediction and Model Interpretation Based on Satellite and Climatic Indicators Using a Transformer Method |
| rice | Yield Prediction in Different Growth Environments Using Unmanned Aerial Vehicle-Based Hyperspectral Imaging |
| rice | Yield Simulation and Planting Suitability Environment Pattern Recognition at a Fine Scale |
| rice | -Field Mapping with Sentinel-1A SAR Time-Series Data |
| rice | -Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal |
| Ridge Detection and Perceptual Grouping Based Automatic Counting of | rice | Seedlings Using UAV Images |
| Satellite Remote Sensing-Based In-Season Diagnosis of | rice | Nitrogen Status in Northeast China |
| Satellite-Based Drought Impact Assessment on | rice | Yield in Thailand with SIMRIW-RS |
| Satellite-based investigation of flood-affected | rice | cultivation areas in Chao Phraya River Delta, Thailand |
| Satellite-Based Observations Reveal Effects of Weather Variation on | rice | Phenology |
| Scalable Machine Learning Pipeline for Paddy | rice | Classification Using Multi-Temporal Sentinel Data, A |
| Scattering Intensity Analysis and Classification of Two Types of | rice | Based on Multi-Temporal and Multi-Mode Simulated Compact Polarimetric SAR Data |
| Segmentation of | rice | disease spots based on improved BPNN |
| Semantic Segmentation Using Deep Learning with Vegetation Indices for | rice | Lodging Identification in Multi-date UAV Visible Images |
| Sensitivity Analysis of Multifrequency MIMP SAR Data From | rice | Paddies |
| Sentinel-1 SAR Time Series-Based Assessment of the Impact of Severe Salinity Intrusion Events on Spatiotemporal Changes in Distribution of | rice | Planting Areas in Coastal Provinces of the Mekong Delta, Vietnam |
| Simple Interpretation Of The | rice | Spectral Indices Space For Assessment Of Heavy Metal Stress, A |
| Simulating the Leaf Area Index of | rice | from Multispectral Images |
| Sorting of | rice | grains using Zernike moments |
| Spatial and Spectral Hybrid Image Classification for | rice | Lodging Assessment through UAV Imagery |
| Spatial Estimation of Daily Growth Biomass in Paddy | rice | Field Using Canopy Photosynthesis Model Based on Ground and UAV Observations |
| Spatial | rice | Yield Estimation Based on MODIS and Sentinel-1 SAR Data and ORYZA Crop Growth Model |
| Spatial variability of chlorophyll and nitrogen content of | rice | from hyperspectral imagery |
| Spatial-Temporal Neural Network for | rice | Field Classification from SAR Images |
| Spatio-Temporal Estimation of Biomass Growth in | rice | Using Canopy Surface Model from Unmanned Aerial Vehicle Images |
| Spatio-Temporal Estimation of | rice | Height Using Time Series Sentinel-1 Images |
| Spectroscopic Estimation of Biomass in Canopy Components of Paddy | rice | Using Dry Matter and Chlorophyll Indices |
| Study On Extraction Methodology of | rice | Growth Characteristics in Field Using Terrestrial Laser Measurement Data |
| Study toward the Evaluation of ALOS Images for LAI Estimation in | rice | Fields, A |
| Surface Freshwater Limitation Explains Worst | rice | Production Anomaly in India in 2002 |
| Test of the MODIS Land Surface Temperature and Emissivity Separation Algorithm With Ground Measurements Over a | rice | Paddy |
| Theoretical Characterization of X-Band Multiincidence Angle and Multipolarimetric SAR Data From | rice | Paddies at Late Vegetative Stage |
| Towards an Operational SAR-Based | rice | Monitoring System in Asia: Examples from 13 Demonstration Sites across Asia in the RIICE Project |
| UAV Open Dataset of | rice | Paddies for Deep Learning Practice, A |
| UAV Remote Sensing Estimation of | rice | Yield Based on Adaptive Spectral Endmembers and Bilinear Mixing Model |
| UAV-Based Biomass Estimation for | rice | -Combining Spectral, TIN-Based Structural and Meteorological Features |
| Understanding Dense Time Series of Sentinel-1 Backscatter from | rice | Fields: Case Study in a Province of the Mekong Delta, Vietnam |
| Using Different Regression Methods to Estimate Leaf Nitrogen Content in | rice | by Fusing Hyperspectral LiDAR Data and Laser-Induced Chlorophyll Fluorescence Data |
| Vegetation Height Estimate in | rice | Fields Using Single Polarization TanDEM-X Science Phase Data |
| Very high resolution crop surface models (CSMs) from UAV-based stereo images for | rice | growth monitoring In Northeast China |
| Water Stress Index and Stomatal Conductance under Different Irrigation Regimes with Thermal Sensors in | rice | Fields on the Northern Coast of Peru |
| Wavelength selection and spectral discrimination for paddy | rice | , with laboratory measurements of hyperspectral leaf reflectance |
| Wavelength Selection Of Hyperspectral Lidar Based On Feature Weighting For Estimation Of Leaf Nitrogen Content In | rice | |
| Wind Field Distribution of Multi-rotor UAV and Its Influence on Spectral Information Acquisition of | rice | Canopies |
| Within-Field | rice | Yield Estimation Based on Sentinel-2 Satellite Data |
| Yield Estimation of Paddy | rice | Based on Satellite Imagery: Comparison of Global and Local Regression Models |
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