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Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-642-60684-7openalex-snapshot
Diagnosis of the Nitrogen Status in Crops
inferredcites →https://doi.org/10.1007/978-3-642-60684-7_12openalex-snapshot
Radiometric Estimates of Nitrogen Status of Leaves and Canopies
inferredcites →https://doi.org/10.1007/978-3-642-75389-3_5openalex-snapshot
The Hot Spot Effect in Plant Canopy Reflectance
inferredcites →https://doi.org/10.1016/0034-4257(84)90057-9openalex-snapshot
Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model
inferredcites →https://doi.org/10.1016/0034-4257(85)90072-0openalex-snapshot
Earth observation modeling based on layer scattering matrices
inferredcites →https://doi.org/10.1016/0034-4257(90)90100-zopenalex-snapshot
PROSPECT: A model of leaf optical properties spectra
inferredcites →https://doi.org/10.1016/0168-1923(90)90030-aopenalex-snapshot
Derivation of an angle density function for canopies with ellipsoidal leaf angle distributions
inferredcites →https://doi.org/10.1016/j.rse.2003.06.006openalex-snapshot
Comparisons of land cover and LAI estimates derived from ETM+ and MODIS for four sites in North America: a quality assessment of 2000/2001 provisional MODIS products
inferredcites →https://doi.org/10.1016/j.rse.2004.01.017openalex-snapshot
Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops
inferredcites →https://doi.org/10.1016/j.rse.2004.02.007openalex-snapshot
Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland
inferredcites →https://doi.org/10.1016/j.rse.2004.06.016openalex-snapshot
Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models
inferredcites →https://doi.org/10.1016/j.rse.2004.11.001openalex-snapshot
A hybrid inversion method for mapping leaf area index from MODIS data: experiments and application to broadleaf and needleleaf canopies
inferredcites →https://doi.org/10.1016/s0034-4257(00)00113-9openalex-snapshot
Estimating Corn Leaf Chlorophyll Concentration from Leaf and Canopy Reflectance
inferredcites →https://doi.org/10.1016/s0034-4257(01)00240-1openalex-snapshot
Design and analysis of numerical experiments to compare four canopy reflectance models
inferredcites →https://doi.org/10.1016/s0034-4257(01)00300-5openalex-snapshot
Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements
inferredcites →https://doi.org/10.1016/s0034-4257(02)00035-4openalex-snapshot
Retrieval of canopy biophysical variables from bidirectional reflectance
inferredcites →https://doi.org/10.1016/s0034-4257(98)00031-5openalex-snapshot
AERONET—A Federated Instrument Network and Data Archive for Aerosol Characterization
inferredcites →https://doi.org/10.1016/s0034-4257(99)00045-0openalex-snapshot
Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data
inferredcites →https://doi.org/10.1016/s0893-6080(03)00026-1openalex-snapshot
Some neural network applications in environmental sciences. Part II: advancing computational efficiency of environmental numerical models
inferredcites →https://doi.org/10.1029/1999jc900278openalex-snapshot
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inferredcites →https://doi.org/10.1029/2001jd000975openalex-snapshot
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inferredcites →https://doi.org/10.1029/98jd02461openalex-snapshot
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inferredcites →https://doi.org/10.1029/98jd02462openalex-snapshot
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inferredcites →https://doi.org/10.1080/01431160210163155openalex-snapshot
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inferredcites →https://doi.org/10.1080/0143116031000070319openalex-snapshot
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inferredcites →https://doi.org/10.1080/01431160600821069openalex-snapshot
Effects of MERIS L1b radiometric calibration on regional land cover mapping and land products
inferredcites →https://doi.org/10.1080/01431160600821085openalex-snapshot
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inferredcites →https://doi.org/10.1080/01431169208904212openalex-snapshot
The Best Index Slope Extraction ( BISE): A method for reducing noise in NDVI time-series
inferredcites →https://doi.org/10.1080/01431169408954055openalex-snapshot
SMAC: a simplified method for the atmospheric correction of satellite measurements in the solar spectrum
inferredcites →https://doi.org/10.1080/014311697218700openalex-snapshot
Introduction Neural networks in remote sensing
inferredcites →https://doi.org/10.1080/014311698214433openalex-snapshot
Review article: Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements
inferredcites →https://doi.org/10.1080/014311698216099openalex-snapshot
Forward and inverse modelling of canopy directional reflectance using a neural network
inferredcites →https://doi.org/10.1080/014311699212416openalex-snapshot
The ESA Medium Resolution Imaging Spectrometer MERIS a review of the instrument and its mission
inferredcites →https://doi.org/10.1080/014311699212542openalex-snapshot
The MERIS Global Vegetation Index (MGVI): Description and preliminary application
inferredcites →https://doi.org/10.1080/02757250009532396openalex-snapshot
Inversion methods for physically‐based models
inferredcites →https://doi.org/10.1109/36.263783openalex-snapshot
LAI inversion using a back-propagation neural network trained with a multiple scattering model
inferredcites →https://doi.org/10.1109/igarss.2003.1294741openalex-snapshot
CYTTARES: a global database for the training and inter-comparison of biophysical products derived from medium resolution sensors
inferredcites →https://doi.org/10.1109/tgrs.2005.853718openalex-snapshot
Using 1-D models to interpret the reflectance anisotropy of 3-D canopy targets: issues and caveats
inferredcites →https://doi.org/10.1109/tgrs.2006.872529openalex-snapshot
Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup
inferredcites →https://doi.org/10.1109/tgrs.2006.876030openalex-snapshot
Evaluation of the representativeness of networks of sites for the global validation and intercomparison of land biophysical products: proposition of the CEOS-BELMANIP
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inferred← citeshttps://doi.org/10.2139/ssrn.4803812openalex-extracted
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inferred← citeshttps://doi.org/10.1002/2015jg002966openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-0-387-77942-3openalex-snapshot
Real world ecology : large-scale and long-term case studies and methods
inferred← citeshttps://doi.org/10.1007/978-0-387-77942-3_9openalex-snapshot
Forecasting and Assessing the Large-Scale and Long-Term Impacts of Global Environmental Change on Terrestrial Ecosystems in the United States and China
inferred← citeshttps://doi.org/10.1007/978-1-4020-6450-0_7openalex-snapshot
Estimating Canopy Characteristics from Remote Sensing Observations: Review of Methods and Associated Problems
inferred← citeshttps://doi.org/10.1007/978-1-4419-0851-3_451openalex-snapshot
Photosynthetically Active Radiation: Measurement and Modeling
inferred← citeshttps://doi.org/10.1007/978-1-4614-5806-7_451openalex-snapshot
Photosynthetically Active Radiation: Measurement and Modeling
inferred← citeshttps://doi.org/10.1007/978-1-4939-2493-6_678-3openalex-snapshot
Parabolic Trough Solar Technology
inferred← citeshttps://doi.org/10.1007/978-3-030-84144-7_8openalex-snapshot
Trends in Satellite Sensors and Image Time Series Processing Methods for Crop Phenology Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-031-02247-0openalex-snapshot
Remote Sensing Image Processing
inferred← citeshttps://doi.org/10.1007/978-3-319-47037-5_11openalex-snapshot
Temporal Techniques in Remote Sensing of Global Vegetation
inferred← citeshttps://doi.org/10.1007/978-94-007-7969-3_22openalex-snapshot
Beyond NDVI: Extraction of Biophysical Variables From Remote Sensing Imagery
inferred← citeshttps://doi.org/10.1007/978-981-15-6864-0_3openalex-snapshot
Retrieval of Crop Biophysical Parameters Using Remote Sensing
inferred← citeshttps://doi.org/10.1007/s10559-009-9106-4openalex-snapshot
Neural network method to solve inverse problems for canopy radiative transfer models
inferred← citeshttps://doi.org/10.1007/s10712-018-9478-yopenalex-snapshot
Quantifying Vegetation Biophysical Variables from Imaging Spectroscopy Data: A Review on Retrieval Methods
inferred← citeshttps://doi.org/10.1007/s10712-019-09534-yopenalex-snapshot
Variability and Uncertainty Challenges in Scaling Imaging Spectroscopy Retrievals and Validations from Leaves Up to Vegetation Canopies
inferred← citeshttps://doi.org/10.1007/s11769-012-0514-4openalex-snapshot
Estimating fraction of photosynthetically active radiation of corn with vegetation indices and neural network from hyperspectral data
inferred← citeshttps://doi.org/10.1007/s12145-017-0319-1openalex-snapshot
Estimating leaf chlorophyll contents by combining multiple spectral indices with an artificial neural network
inferred← citeshttps://doi.org/10.1007/s12145-017-0325-3openalex-snapshot
Erratum to: Estimating leaf chlorophyll contents by combining multiple spectral indices with an artificial neural network
inferred← citeshttps://doi.org/10.1007/s12524-013-0349-1openalex-snapshot
Leaf Area Index Estimation Using Time-Series MODIS Data in Different Types of Vegetation
inferred← citeshttps://doi.org/10.1007/s12524-017-0731-5openalex-snapshot
A Method to Upscale the Leaf Area Index (LAI) Using GF-1 Data with the Assistance of MODIS Products in the Poyang Lake Watershed
inferred← citeshttps://doi.org/10.1007/s12524-019-00969-9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12665-017-6536-6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13351-021-0017-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s41064-020-00119-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-409548-9.10345-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-409548-9.10540-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-12-815826-5.00012-xopenalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-13220-9.00056-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-21485-1.00027-3openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/b978-0-443-21485-1.00034-0openalex-snapshot
Hi-GLASS 30 m 16-day FVC product
inferred← citeshttps://doi.org/10.1016/b978-1-78548-103-1.50002-9openalex-snapshot
Estimation of Biophysical Variables from Satellite Observations
inferred← citeshttps://doi.org/10.1016/j.agrformet.2008.03.011openalex-snapshot
Assessing the effects of the clumping phenomenon on BRDF of a maize crop based on 3D numerical scenes using DART model
inferred← citeshttps://doi.org/10.1016/j.agrformet.2010.12.006openalex-snapshot
Documenting improvement in leaf area index estimates from MODIS using hemispherical photos for Australian savannas
inferred← citeshttps://doi.org/10.1016/j.agrformet.2011.08.002openalex-snapshot
Potential performances of remotely sensed LAI assimilation in WOFOST model based on an OSS Experiment
inferred← citeshttps://doi.org/10.1016/j.agrformet.2016.11.267openalex-snapshot
Derivation of temporally continuous LAI reference maps through combining the LAINet observation system with CACAO
inferred← citeshttps://doi.org/10.1016/j.agrformet.2017.06.016openalex-snapshot
Evaluation of four long time-series global leaf area index products
inferred← citeshttps://doi.org/10.1016/j.agrformet.2018.05.024openalex-snapshot
Generalized FPAR estimation methods from various satellite sensors and validation
inferred← citeshttps://doi.org/10.1016/j.agrformet.2024.110132openalex-snapshot
Seasonal and vertical variation in canopy structure and leaf spectral properties determine the canopy reflectance of a rice field
inferred← citeshttps://doi.org/10.1016/j.agwat.2010.08.020openalex-snapshot
Earth Observation products for operational irrigation management in the context of the PLEIADeS project
inferred← citeshttps://doi.org/10.1016/j.agwat.2024.108856openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.asr.2022.11.046openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2022.106149openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2022.106816openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.catena.2026.110207openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2010.05.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2018.10.009openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2020.105899openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2022.107235openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2023.108356openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.compag.2024.108624openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecolind.2022.108780openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114469openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecolind.2025.114604openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.ecolmodel.2012.11.014openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eja.2019.125938openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.eja.2024.127362openalex-snapshot
Estimating rice leaf area index at multiple growth stages with Sentinel-2 data: An evaluation of different retrieval algorithms
inferred← citeshttps://doi.org/10.1016/j.eja.2025.127701openalex-snapshot
Prediction of grassland yield in Austria: A machine learning approach based on satellite, weather, and extensive in situ data
inferred← citeshttps://doi.org/10.1016/j.eja.2025.127926openalex-snapshot
TrSC2Y: A transfer-learning-based model from UAV hyper-spectra imagery for field-scale canola yield prediction by integrating DSSAT with PROSAIL
inferred← citeshttps://doi.org/10.1016/j.eja.2026.128332openalex-snapshot
Estimation of field-scale crop evapotranspiration from the mechanistic SIF-ET model using the UAV hyperspectral imagery
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106365openalex-snapshot
A GEE TSEB workflow for daily high-resolution fully remote sensing evapotranspiration: Validation over four crops in semi-arid conditions and comparison with the SSEBop experimental product
inferred← citeshttps://doi.org/10.1016/j.fcr.2022.108449openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.fcr.2023.109077openalex-snapshot
Estimation of canopy water content for wheat through combining radiative transfer model and machine learning
inferred← citeshttps://doi.org/10.1016/j.foreco.2019.03.030openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2008.04.004openalex-snapshot
Evaluation of MODIS surface reflectance products for wheat leaf area index (LAI) retrieval
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2011.09.013openalex-snapshot
Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2013.09.012openalex-snapshot
Gaussian processes uncertainty estimates in experimental Sentinel-2 LAI and leaf chlorophyll content retrieval
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2014.12.011openalex-snapshot
Spatio-temporal prediction of leaf area index of rubber plantation using HJ-1A/1B CCD images and recurrent neural network
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2015.04.013openalex-snapshot
Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2015.05.005openalex-snapshot
Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2016.07.001openalex-snapshot
Retrieval of leaf area index in different plant species using thermal hyperspectral data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2017.02.001openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2017.10.004openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2018.03.005openalex-snapshot
Derivation of global vegetation biophysical parameters from EUMETSAT Polar System
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2019.06.007openalex-snapshot
Estimating leaf area index and aboveground biomass of grazing pastures using Sentinel-1, Sentinel-2 and Landsat images
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.07.004openalex-snapshot
Gaussian processes retrieval of LAI from Sentinel-2 top-of-atmosphere radiance data
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2020.07.006openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.01.017openalex-snapshot
Efficient RTM-based training of machine learning regression algorithms to quantify biophysical & biochemical traits of agricultural crops
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2021.02.020openalex-snapshot
Validation of baseline and modified Sentinel-2 Level 2 Prototype Processor leaf area index retrievals over the United States
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2022.08.003openalex-snapshot
Retrieving global leaf chlorophyll content from MERIS data using a neural network method
inferred← citeshttps://doi.org/10.1016/j.isprsjprs.2023.10.017openalex-snapshot
A deep transfer learning framework for mapping high spatiotemporal resolution LAI
inferred← citeshttps://doi.org/10.1016/j.jag.2009.10.005openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jag.2010.02.006openalex-snapshot
Estimation of gross primary production in wheat from in situ measurements
inferred← citeshttps://doi.org/10.1016/j.jag.2011.09.004openalex-snapshot
Comparison of different methods for corn LAI estimation over northeastern China
inferred← citeshttps://doi.org/10.1016/j.jag.2012.06.010openalex-snapshot
Intercomparison and quality assessment of MERIS, MODIS and SEVIRI FAPAR products over the Iberian Peninsula
inferred← citeshttps://doi.org/10.1016/j.jag.2013.05.007openalex-snapshot
Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data
inferred← citeshttps://doi.org/10.1016/j.jag.2015.01.009openalex-snapshot
Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy
inferred← citeshttps://doi.org/10.1016/j.jag.2019.04.019openalex-snapshot
Retrieval of crop biophysical parameters from Sentinel-2 remote sensing imagery
inferred← citeshttps://doi.org/10.1016/j.jag.2019.06.003openalex-snapshot
An investigation of inversion methodologies to retrieve the leaf area index of corn from C-band SAR data
inferred← citeshttps://doi.org/10.1016/j.jag.2019.101984openalex-snapshot
Effects of prediction accuracy of the proportion of vegetation cover on land surface emissivity and temperature using the NDVI threshold method
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102112openalex-snapshot
Estimating fractional vegetation cover from leaf area index and clumping index based on the gap probability theory
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102220openalex-snapshot
Improving retrieval of crop biophysical properties in dryland areas using a multi-scale variational RTM inversion approach
inferred← citeshttps://doi.org/10.1016/j.jag.2020.102242openalex-snapshot
Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression
inferred← citeshttps://doi.org/10.1016/j.jag.2021.102488openalex-snapshot
Leaf area index retrieval with ICESat-2 photon counting LiDAR
inferred← citeshttps://doi.org/10.1016/j.jag.2022.103168openalex-snapshot
Simultaneous retrieval of sugarcane variables from Sentinel-2 data using Bayesian regularized neural network
inferred← citeshttps://doi.org/10.1016/j.jag.2023.103367openalex-snapshot
Evaluation of the effect of leaf spatial aggregation on chlorophyll content retrieval in open-canopy apple orchards
inferred← citeshttps://doi.org/10.1016/j.jag.2025.104897openalex-snapshot
Estimating nitrogen stress and its impact on crop yield using advanced remote sensing approach: A case study of Gezira irrigation scheme, Sudan
inferred← citeshttps://doi.org/10.1016/j.jhydrol.2020.124905openalex-snapshot
A review of remote sensing applications in agriculture for food security: Crop growth and yield, irrigation, and crop losses
inferred← citeshttps://doi.org/10.1016/j.jqsrt.2012.12.007openalex-snapshot
Analytical discrete ordinate method for radiative transfer in dense vegetation canopies
inferred← citeshttps://doi.org/10.1016/j.rse.2007.02.018openalex-snapshot
LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION
inferred← citeshttps://doi.org/10.1016/j.rse.2007.03.001openalex-snapshot
LAI and fAPAR CYCLOPES global products derived from VEGETATION. Part 2: validation and comparison with MODIS collection 4 products
inferred← citeshttps://doi.org/10.1016/j.rse.2007.04.012openalex-snapshot
Mapping leaf chlorophyll and leaf area index using inverse and forward canopy reflectance modeling and SPOT reflectance data
inferred← citeshttps://doi.org/10.1016/j.rse.2007.12.003openalex-snapshot
Inversion of a radiative transfer model for estimating vegetation LAI and chlorophyll in a heterogeneous grassland
inferred← citeshttps://doi.org/10.1016/j.rse.2008.01.006openalex-snapshot
Performances of neural networks for deriving LAI estimates from existing CYCLOPES and MODIS products
inferred← citeshttps://doi.org/10.1016/j.rse.2008.01.026openalex-snapshot
PROSPECT+SAIL models: A review of use for vegetation characterization
inferred← citeshttps://doi.org/10.1016/j.rse.2008.04.003openalex-snapshot
A neural network-based scheme coupled with the RPV model inversion package
inferred← citeshttps://doi.org/10.1016/j.rse.2008.06.005openalex-snapshot
Calibration and validation of hyperspectral indices for the estimation of broadleaved forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass
inferred← citeshttps://doi.org/10.1016/j.rse.2008.09.014openalex-snapshot
Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale
inferred← citeshttps://doi.org/10.1016/j.rse.2008.12.001openalex-snapshot
Modelling PRI for water stress detection using radiative transfer models
inferred← citeshttps://doi.org/10.1016/j.rse.2009.07.014openalex-snapshot
A dorsiventral leaf radiative transfer model: Development, validation and improved model inversion techniques
inferred← citeshttps://doi.org/10.1016/j.rse.2009.07.018openalex-snapshot
Comparative analysis of MODIS-FAPAR and MERIS–MGVI datasets: Potential impacts on ecosystem modeling
inferred← citeshttps://doi.org/10.1016/j.rse.2009.12.010openalex-snapshot
Comparison and evaluation of Medium Resolution Imaging Spectrometer leaf area index products across a range of land use
inferred← citeshttps://doi.org/10.1016/j.rse.2010.09.012openalex-snapshot
Optimal modalities for radiative transfer-neural network estimation of canopy biophysical characteristics: Evaluation over an agricultural area with CHRIS/PROBA observations
inferred← citeshttps://doi.org/10.1016/j.rse.2010.10.004openalex-snapshot
Leaf area index estimation with MODIS reflectance time series and model inversion during full rotations of Eucalyptus plantations
inferred← citeshttps://doi.org/10.1016/j.rse.2010.11.016openalex-snapshot
Retrieving wheat Green Area Index during the growing season from optical time series measurements based on neural network radiative transfer inversion
inferred← citeshttps://doi.org/10.1016/j.rse.2010.12.009openalex-snapshot
Estimating forest variables from top-of-atmosphere radiance satellite measurements using coupled radiative transfer models
inferred← citeshttps://doi.org/10.1016/j.rse.2011.05.004openalex-snapshot
Spectroscopic classification of tropical forest species using radiative transfer modeling
inferred← citeshttps://doi.org/10.1016/j.rse.2011.10.013openalex-snapshot
Evaluation of the information content of Medium Resolution Imaging Spectrometer (MERIS) data for regional leaf area index assessment
inferred← citeshttps://doi.org/10.1016/j.rse.2011.10.035openalex-snapshot
Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2011.11.002openalex-snapshot
Machine learning regression algorithms for biophysical parameter retrieval: Opportunities for Sentinel-2 and -3
inferred← citeshttps://doi.org/10.1016/j.rse.2012.02.011openalex-snapshot
Mapping spatio-temporal variation of grassland quantity and quality using MERIS data and the PROSAIL model
inferred← citeshttps://doi.org/10.1016/j.rse.2012.04.002openalex-snapshot
Assessment of vegetation indices for regional crop green LAI estimation from Landsat images over multiple growing seasons
inferred← citeshttps://doi.org/10.1016/j.rse.2012.06.013openalex-snapshot
Theoretical uncertainty analysis of global MODIS, CYCLOPES, and GLOBCARBON LAI products using a triple collocation method
inferred← citeshttps://doi.org/10.1016/j.rse.2012.12.015openalex-snapshot
Retrieval of spruce leaf chlorophyll content from airborne image data using continuum removal and radiative transfer
inferred← citeshttps://doi.org/10.1016/j.rse.2012.12.027openalex-snapshot
GEOV1: LAI and FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part1: Principles of development and production
inferred← citeshttps://doi.org/10.1016/j.rse.2013.07.012openalex-snapshot
Retrieval of leaf area index from MODIS surface reflectance by model inversion using different minimization criteria
inferred← citeshttps://doi.org/10.1016/j.rse.2013.08.037openalex-snapshot
Evaluation of six satellite-derived Fraction of Absorbed Photosynthetic Active Radiation (FAPAR) products across the Australian continent
inferred← citeshttps://doi.org/10.1016/j.rse.2013.09.005openalex-snapshot
Bayesian object-based estimation of LAI and chlorophyll from a simulated Sentinel-2 top-of-atmosphere radiance image
inferred← citeshttps://doi.org/10.1016/j.rse.2014.01.021openalex-snapshot
Retrieval of leaf area index using temporal, spectral, and angular information from multiple satellite data
inferred← citeshttps://doi.org/10.1016/j.rse.2014.10.030openalex-snapshot
Multi-temporal, multi-sensor retrieval of terrestrial vegetation properties from spectral–directional radiometric data
inferred← citeshttps://doi.org/10.1016/j.rse.2014.12.008openalex-snapshot
Joint leaf chlorophyll content and leaf area index retrieval from Landsat data using a regularized model inversion system (REGFLEC)
inferred← citeshttps://doi.org/10.1016/j.rse.2015.04.027openalex-snapshot
Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery
inferred← citeshttps://doi.org/10.1016/j.rse.2015.04.032openalex-snapshot
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
inferred← citeshttps://doi.org/10.1016/j.rse.2016.10.039openalex-snapshot
Estimation of canopy clumping index from MISR and MODIS sensors using the normalized difference hotspot and darkspot (NDHD) method: The influence of BRDF models and solar zenith angle
inferred← citeshttps://doi.org/10.1016/j.rse.2017.02.009openalex-snapshot
Randomized kernels for large scale Earth observation applications
inferred← citeshttps://doi.org/10.1016/j.rse.2019.01.039openalex-snapshot
Retrieving leaf chlorophyll content using a matrix-based vegetation index combination approach
inferred← citeshttps://doi.org/10.1016/j.rse.2019.03.020openalex-snapshot
Validation of the Sentinel Simplified Level 2 Product Prototype Processor (SL2P) for mapping cropland biophysical variables using Sentinel-2/MSI and Landsat-8/OLI data
inferred← citeshttps://doi.org/10.1016/j.rse.2020.111935openalex-snapshot
Evaluation of global leaf area index and fraction of absorbed photosynthetically active radiation products over North America using Copernicus Ground Based Observations for Validation data
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112101openalex-snapshot
Quantifying vegetation biophysical variables from the Sentinel-3/FLEX tandem mission: Evaluation of the synergy of OLCI and FLORIS data sources
inferred← citeshttps://doi.org/10.1016/j.rse.2020.112168openalex-snapshot
Prototyping Sentinel-2 green LAI and brown LAI products for cropland monitoring
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112304openalex-snapshot
Hybrid inversion of radiative transfer models based on high spatial resolution satellite reflectance data improves fractional vegetation cover retrieval in heterogeneous ecological systems after fire
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112505openalex-snapshot
Towards scalable estimation of plant functional diversity from Sentinel-2: In-situ validation in a heterogeneous (semi-)natural landscape
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112618openalex-snapshot
Fine-scale leaf chlorophyll distribution across a deciduous forest through two-step model inversion from Sentinel-2 data
inferred← citeshttps://doi.org/10.1016/j.rse.2021.112724openalex-snapshot
Transfer-learning-based approach for leaf chlorophyll content estimation of winter wheat from hyperspectral data
inferred← citeshttps://doi.org/10.1016/j.rse.2022.112958openalex-snapshot
Gaussian processes retrieval of crop traits in Google Earth Engine based on Sentinel-2 top-of-atmosphere data
inferred← citeshttps://doi.org/10.1016/j.rse.2022.113085openalex-snapshot
Crop specific inversion of PROSAIL to retrieve green area index (GAI) from several decametric satellites using a Bayesian framework
inferred← citeshttps://doi.org/10.1016/j.rse.2024.114228openalex-snapshot
Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114797openalex-snapshot
GROUNDED EO: Data-driven Sentinel-2 LAI and FAPAR retrieval using Gaussian processes trained with extensive fiducial reference measurements
inferred← citeshttps://doi.org/10.1016/j.rse.2025.114801openalex-snapshot
Satellite canopy water content from Sentinel-2, Landsat-8 and MODIS: Principle, algorithm and assessment
inferred← citeshttps://doi.org/10.1016/j.rse.2025.115065openalex-snapshot
Estimation of canopy fAPAR using optical reflectance and airborne LiDAR data
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115382openalex-snapshot
Synergistic retrievals of leaf area index and leaf chlorophyll content in deciduous broadleaf forests from Sentinel-2 and Landsat
inferred← citeshttps://doi.org/10.1016/j.rse.2026.115535openalex-snapshot
Retrieving vertical profiles of forest fAPAR by integrating airborne optical reflectance and LiDAR data
inferred← citeshttps://doi.org/10.1016/j.srs.2022.100058openalex-snapshot
Estimation and validation of 30 m fractional vegetation cover over China through integrated use of Landsat 8 and Gaofen 2 data
inferred← citeshttps://doi.org/10.1016/j.srs.2022.100060openalex-snapshot
Generating high spatial resolution GLASS FAPAR product from Landsat images
inferred← citeshttps://doi.org/10.1016/j.srs.2024.100148openalex-snapshot
OptiSAIL: A system for the simultaneous retrieval of soil, leaf, and canopy parameters and its application to Sentinel-3 Synergy (OLCI+SLSTR) top-of-canopy reflectances
inferred← citeshttps://doi.org/10.1016/j.srs.2024.100152openalex-snapshot
Advancements in high-resolution land surface satellite products: A comprehensive review of inversion algorithms, products and challenges
inferred← citeshttps://doi.org/10.1016/j.srs.2026.100433openalex-snapshot
Synergetic inversion of leaf chlorophyll content and leaf area index from Sentinel-2 data using artificial neural networks trained with a radiative transfer model
inferred← citeshttps://doi.org/10.1016/j.srs.2026.100437openalex-snapshot
Towards a framework for mapping forest cover fractions: A cross-biome evaluation
inferred← citeshttps://doi.org/10.1016/s2095-3119(15)61073-5openalex-snapshot
Estimating the crop leaf area index using hyperspectral remote sensing
inferred← citeshttps://doi.org/10.1029/2007jg000635openalex-snapshot
Validation and intercomparison of global Leaf Area Index products derived from remote sensing data
inferred← citeshttps://doi.org/10.1029/2009jd013023openalex-snapshot
Gross primary production estimation from MODIS data with vegetation index and photosynthetically active radiation in maize
inferred← citeshttps://doi.org/10.1029/2011gb004060openalex-snapshot
Characteristics and drivers of global NDVI‐based FPAR from 1982 to 2006
inferred← citeshttps://doi.org/10.1029/2012jg002084openalex-snapshot
Retrospective retrieval of long‐term consistent global leaf area index (1981–2011) from combined AVHRR and MODIS data
inferred← citeshttps://doi.org/10.1029/2018rg000608openalex-snapshot
An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications
inferred← citeshttps://doi.org/10.1029/2020jg005917openalex-snapshot
Importance of Shaded Leaf Contribution to the Total GPP of Canadian Terrestrial Ecosystems: Evaluation of MODIS GPP
inferred← citeshttps://doi.org/10.1029/2021gb007177openalex-snapshot
Quantifying and Reducing Uncertainty in Global Carbon Cycle Predictions: Lessons and Perspectives From 15 Years of Data Assimilation Studies With the ORCHIDEE Terrestrial Biosphere Model
inferred← citeshttps://doi.org/10.1080/00401706.2013.824925openalex-snapshot
Bayesian Inference for Sensitivity Analysis of Computer Simulators, With an Application to Radiative Transfer Models
inferred← citeshttps://doi.org/10.1080/00411450.2012.671218openalex-snapshot
On Radiative Transfer in Dense Vegetation Canopies
inferred← citeshttps://doi.org/10.1080/01431160802238401openalex-snapshot
Retrieval of chlorophyll content and LAI of crops using hyperspectral techniques: application to PROBA/CHRIS data
inferred← citeshttps://doi.org/10.1080/01431160903505286openalex-snapshot
Using MERIS fused images for land-cover mapping and vegetation status assessment in heterogeneous landscapes
inferred← citeshttps://doi.org/10.1080/01431161.2012.663110openalex-snapshot
Evaluation of near-surface soil water status through the inversion of soil–canopy radiative transfer models in the reflective optical domain
inferred← citeshttps://doi.org/10.1080/01431161.2012.725484openalex-snapshot
Canopy level estimations of chlorophyll and LAI for two tropical species (teak and bamboo) from Hyperion (EO1) data
inferred← citeshttps://doi.org/10.1080/01431161.2013.845316openalex-snapshot
Derivation of leaf area index for grassland within alpine upland using multi-temporal RapidEye data
inferred← citeshttps://doi.org/10.1080/01431161.2014.883093openalex-snapshot
Evapotranspiration monitoring with Meteosat Second Generation satellites: improvement opportunities from moderate spatial resolution satellites for vegetation
inferred← citeshttps://doi.org/10.1080/01431161.2014.919681openalex-snapshot
Validation of MERIS LAI and FAPAR products for winter wheat-sown test fields in North-East Bulgaria
inferred← citeshttps://doi.org/10.1080/01431161.2015.1040135openalex-snapshot
Comparison of two inversion methods for leaf area index using HJ-1 satellite data in a temperate meadow steppe
inferred← citeshttps://doi.org/10.1080/01431161.2015.1041174openalex-snapshot
Influence of acquisition time and resolution on wheat yield estimation at the field scale from canopy biophysical variables retrieved from SPOT satellite data
inferred← citeshttps://doi.org/10.1080/01431161.2015.1041176openalex-snapshot
Estimating winter wheat (Triticum aestivum) LAI and leaf chlorophyll content from canopy reflectance data by integrating agronomic prior knowledge with the PROSAIL model
inferred← citeshttps://doi.org/10.1080/01431161.2015.1042122openalex-snapshot
Modified vegetation indices for estimating crop fraction of absorbed photosynthetically active radiation
inferred← citeshttps://doi.org/10.1080/01431161.2016.1186850openalex-snapshot
Estimating crop chlorophyll content with hyperspectral vegetation indices and the hybrid inversion method
inferred← citeshttps://doi.org/10.1080/01431161.2018.1547457openalex-snapshot
Rice yield estimation using synthetic aperture radar (SAR) and the ORYZA crop growth model: development and application of the system in South and South-east Asian countries
inferred← citeshttps://doi.org/10.1080/01431161.2020.1841323openalex-snapshot
Inversion of the leaf area index of rice fields using vegetation isoline patterns considering the fraction of vegetation cover
inferred← citeshttps://doi.org/10.1080/01431161.2021.1980241openalex-snapshot
Retrieval of olive tree biophysical properties from Sentinel-2 time series based on physical modelling and machine learning technique
inferred← citeshttps://doi.org/10.1080/01431161.2023.2235455openalex-snapshot
Estimating canopy parameters of winter wheat at different stages using hyperspectral data combined with soil variables
inferred← citeshttps://doi.org/10.1080/01431161.2025.2555285openalex-snapshot
Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas
inferred← citeshttps://doi.org/10.1080/02827581.2010.497159openalex-snapshot
Ecological applications of physically based remote sensing methods
inferred← citeshttps://doi.org/10.1080/07038992.2018.1526064openalex-snapshot
Evaluation of Vegetation Responses to Climatic Factors and Global Vegetation Trends using GLASS LAI from 1982 to 2010
inferred← citeshttps://doi.org/10.1080/10106049.2019.1687591openalex-snapshot
Field scale wheat LAI retrieval from multispectral Sentinel 2A-MSI and LandSat 8-OLI imagery: effect of atmospheric correction, image resolutions and inversion techniques
inferred← citeshttps://doi.org/10.1080/10106049.2022.2087756openalex-snapshot
Validation of LAI, chlorophyll and FVC biophysical estimates from sentinel-2 level 2 prototype processor over a heterogeneous savanna and grassland environment in South Africa
inferred← citeshttps://doi.org/10.1080/10106049.2024.2387087openalex-snapshot
Hybrid retrieval of grass biophysical variables based-on radiative transfer, active learning and regression methods using Sentinel-2 data in Marakele National Park
inferred← citeshttps://doi.org/10.1080/17538947.2011.596579openalex-snapshot
Seasonal dynamic pattern analysis on global FPAR derived from AVHRR GIMMS NDVI
inferred← citeshttps://doi.org/10.1080/17538947.2011.598193openalex-snapshot
Comparing spatiotemporal patterns in Eurasian FPAR derived from two NDVI-based methods
inferred← citeshttps://doi.org/10.1080/17538947.2023.2264815openalex-snapshot
Generation of a 16 m/10-day fractional vegetation cover product over China based on Chinese GaoFen-1 observations: method and validation
inferred← citeshttps://doi.org/10.1080/2150704x.2018.1547445openalex-snapshot
Remote estimation of fraction of radiation absorbed by photosynthetically active vegetation: generic algorithm for maize and soybean
inferred← citeshttps://doi.org/10.1080/22797254.2020.1839359openalex-snapshot
Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria
inferred← citeshttps://doi.org/10.1080/22797254.2026.2632518openalex-snapshot
Characterising the ill-posedness of PROSAIL inversion for biophysical parameter retrieval
inferred← citeshttps://doi.org/10.1093/insilicoplants/diab036openalex-snapshot
Modelling the functional dependency between root and shoot compartments to predict the impact of the environment on the architecture of the whole plant: methodology for model fitting on simulated data using Deep Learning techniques
inferred← citeshttps://doi.org/10.1093/jxb/erab194openalex-snapshot
A model for phenotyping crop fractional vegetation cover using imagery from unmanned aerial vehicles
inferred← citeshttps://doi.org/10.1093/jxb/erac291openalex-snapshot
Integrating a crop growth model and radiative transfer model to improve estimation of crop traits based on deep learning
inferred← citeshttps://doi.org/10.1093/jxb/erp156openalex-snapshot
Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence
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