Skidanov, R.[Roman]
* 2015: Fresnel lens imaging with post-capture image processing
* 2016: Comparative evaluation of deblurring techniques for Fresnel lens computational imaging
* 2016: Evaluating imaging quality of the offner hyperspectrometer
* 2019: Deep Learning-Based Imaging using Single-Lens and Multi-Aperture Diffractive Optical Systems
* 2022: First Earth-Imaging CubeSat with Harmonic Diffractive Lens
Includes: Skidanov, R.[Roman] Skidanov, R.
Skidanov, R.V.
* 1996: Fingerprint Identification Using the Directions Fields
Skidmore, A.[Andrew]
* 2011: Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
* 2012: Mapping Thermal Habitat Of Ectotherms Based On Behavioral Thermoregulation In A Controlled Thermal Environment
* 2014: Complementarity of Two Rice Mapping Approaches: Characterizing Strata Mapped by Hypertemporal MODIS and Rice Paddy Identification Using Multitemporal SAR
* 2015: Assessing MODIS GPP in Non-Forested Biomes in Water Limited Areas Using EC Tower Data
* 2018: Estimating Fire Background Temperature at a Geostationary Scale: An Evaluation of Contextual Methods for AHI-8
* 2018: Using Landsat Spectral Indices in Time-Series to Assess Wildfire Disturbance and Recovery
* 2019: Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model
* 2019: Classification of Tree Species as Well as Standing Dead Trees Using Triple Wavelength ALS in a Temperate Forest
* 2019: Relating X-band SAR Backscattering to Leaf Area Index of Rice in Different Phenological Phases
* 2019: Validating the Predictive Power of Statistical Models in Retrieving Leaf Dry Matter Content of a Coastal Wetland from a Sentinel-2 Image
* 2020: Evaluating Prediction Models for Mapping Canopy Chlorophyll Content Across Biomes
* 2021: Comparative Evaluation of Algorithms for Leaf Area Index Estimation from Digital Hemispherical Photography through Virtual Forests
* 2022: Estimating Community-Level Plant Functional Traits in a Species-Rich Alpine Meadow Using UAV Image Spectroscopy
* 2022: Mapping Multi-Decadal Mangrove Extent in the Northern Coast of Vietnam Using Landsat Time-Series Data on Google Earth Engine Platform
* 2023: Monitoring Coastal Water Body Health with Sentinel-2 MSI Imagery
Includes: Skidmore, A.[Andrew] Skidmore, A.
15 for Skidmore, A.
Skidmore, A.K.
* 2002: Integration of classification methods for improvement of land-cover map accuracy
* 2006: post-classifier for mangrove mapping using ecological data, A
* 2007: hyperspectral band selector for plant species discrimination, A
* 2007: Mapping East African tropical forests and woodlands: A comparison of classifiers
* 2011: Water-removed spectra increase the retrieval accuracy when estimating savanna grass nitrogen and phosphorus concentrations
* 2012: Comparative Performance Analysis Of A Hyper-temporal NDVI Analysis Approach and a Landscape-Ecological Mapping Approach
* 2012: Estimating Biochemical Parameters Of Tea (camellia Sinensis (l.)) Using Hyperspectral Techniques
* 2012: Remote sensing of forage nutrients: Combining ecological and spectral absorption feature data
* 2013: Changes in plant defense chemistry (pyrrolizidine alkaloids) revealed through high-resolution spectroscopy
* 2013: Non-linear partial least square regression increases the estimation accuracy of grass nitrogen and phosphorus using in situ hyperspectral and environmental data
* 2013: Predicting foliar biochemistry of tea (Camellia sinensis) using reflectance spectra measured at powder, leaf and canopy levels
* 2014: Retrieval of leaf water content spanning the visible to thermal infrared spectra
* 2015: 3D leaf water content mapping using terrestrial laser scanner backscatter intensity with radiometric correction
* 2015: Effect of slope on treetop detection using a LiDAR Canopy Height Model
* 2015: Evaluating Different Methods for Grass Nutrient Estimation from Canopy Hyperspectral Reflectance
* 2015: Mapping Forest Canopy Height Across Large Areas by Upscaling ALS Estimates with Freely Available Satellite Data
* 2015: Understanding Boswellia papyrifera tree secondary metabolites through bark spectral analysis
* 2015: Wavelet-Based Area Parameter for Indirectly Estimating Copper Concentration in Carex Leaves from Canopy Reflectance, A
* 2016: Changes in thermal infrared spectra of plants caused by temperature and water stress
* 2016: Leaf Area Index Retrieved From Thermal Hyperspectral Data
* 2016: Retrieval of forest leaf functional traits from HySpex imagery using radiative transfer models and continuous wavelet analysis
* 2016: Retrieval of leaf area index in different plant species using thermal hyperspectral data
* 2016: Vegetation Indices for Mapping Canopy Foliar Nitrogen in a Mixed Temperate Forest
* 2017: Automatic Counting of Large Mammals from Very High Resolution Panchromatic Satellite Imagery
* 2017: Identifying leaf traits that signal stress in TIR spectra
* 2017: Naïve Overfitting Index Selection (NOIS): A new method to optimize model complexity for hyperspectral data, The
* 2017: Quantifying the Effects of Normalisation of Airborne LiDAR Intensity on Coniferous Forest Leaf Area Index Estimations
* 2017: Significant effect of topographic normalization of airborne LiDAR data on the retrieval of plant area index profile in mountainous forests
* 2018: Adaptive stopping criterion for top-down segmentation of ALS point clouds in temperate coniferous forests
* 2018: Connecting infrared spectra with plant traits to identify species
* 2018: Impact of Vertical Canopy Position on Leaf Spectral Properties and Traits across Multiple Species
* 2018: Important LiDAR metrics for discriminating forest tree species in Central Europe
* 2018: Large off-nadir scan angle of airborne LiDAR can severely affect the estimates of forest structure metrics
* 2018: Machine Learning Using Hyperspectral Data Inaccurately Predicts Plant Traits Under Spatial Dependency
* 2018: simple terrain relief index for tuning slope-related parameters of LiDAR ground filtering algorithms, A
* 2018: Understanding Forest Health with Remote Sensing, Part III: Requirements for a Scalable Multi-Source Forest Health Monitoring Network Based on Data Science Approaches
* 2019: Accurate modelling of canopy traits from seasonal Sentinel-2 imagery based on the vertical distribution of leaf traits
* 2019: Comparison of terrestrial LiDAR and digital hemispherical photography for estimating leaf angle distribution in European broadleaf beech forests
* 2019: Integration of Landsat-8 Thermal and Visible-Short Wave Infrared Data for Improving Prediction Accuracy of Forest Leaf Area Index
* 2019: Linking Remote Sensing and Geodiversity and Their Traits Relevant to Biodiversity: Part I: Soil Characteristics
* 2019: Sensitivity of Landsat-8 OLI and TIRS Data to Foliar Properties of Early Stage Bark Beetle (Ips typographus, L.) Infestation
* 2019: Variation of leaf angle distribution quantified by terrestrial LiDAR in natural European beech forest
* 2020: Linking the Remote Sensing of Geodiversity and Traits Relevant to Biodiversity: Part II: Geomorphology, Terrain and Surfaces
* 2020: Mapping Canopy Chlorophyll Content in a Temperate Forest Using Airborne Hyperspectral Data
* 2021: Quantifying Marine Plastic Debris in a Beach Environment Using Spectral Analysis
* 2021: Role of Sampling Design When Predicting Spatially Dependent Ecological Data With Remote Sensing
* 2022: Integrating Semi-Supervised Learning with an Expert System for Vegetation Cover Classification Using Sentinel-2 and RapidEye Data
* 2022: Remote Sensing of Geomorphodiversity Linked to Biodiversity: Part III: Traits, Processes and Remote Sensing Characteristics
Includes: Skidmore, A.K. Skidmore, A.K.[Andrew K.]
48 for Skidmore, A.K.