EDP Sciences logo
Search
Menu
All issues Agronomie, 22 2 (2002) 205-215 Article references

Articles citing this article

The Citing articles tool gives a list of articles citing the current article.
The citing articles come from EDP Sciences database, as well as other publishers participating in CrossRef Cited-by Linking Program. You can set up your personal account to receive an email alert each time this article is cited by a new article (see the menu on the right-hand side of the abstract page).

Cited article:

Improving potato leaf chlorophyll content prediction using a machine learning model with a hybrid dataset

Haibo Yang, Yuncai Hu, Hang Yin, Qingyu Jin, Fei Li and Kang Yu
International Journal of Remote Sensing 46 (8) 3064 (2025)
https://doi.org/10.1080/01431161.2025.2465916

Challenges and Opportunities in Remote Sensing-Based Fuel Load Estimation for Wildfire Behavior and Management: A Comprehensive Review

Arnick Abdollahi and Marta Yebra
Remote Sensing 17 (3) 415 (2025)
https://doi.org/10.3390/rs17030415

Estimation of vegetation biophysical and biochemical parameters using satellite optical remote sensing: a review of methods, sensors and study areas

Shayan Hasti and Mohsen Ghamary Asl
International Journal of Remote Sensing 46 (20) 7483 (2025)
https://doi.org/10.1080/01431161.2025.2555285

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

Ikram El Hazdour, Michel Le Page, Lahoucine Hanich, Adnane Chakir, Oliver Lopez and Lionel Jarlan
Environmental Modelling & Software 187 106365 (2025)
https://doi.org/10.1016/j.envsoft.2025.106365

PROSAIL-Net: A transfer learning-based dual stream neural network to estimate leaf chlorophyll and leaf angle of crops from UAV hyperspectral images

Sourav Bhadra, Vasit Sagan, Supria Sarkar, Maxwell Braud, Todd C. Mockler and Andrea L. Eveland
ISPRS Journal of Photogrammetry and Remote Sensing 210 1 (2024)
https://doi.org/10.1016/j.isprsjprs.2024.02.020

Evaluating biostimulants via high-throughput field phenotyping: Biophysical traits retrieval through PROSAIL inversion

Giulia Antonucci, Giorgio Impollonia, Michele Croci, Eleonora Potenza, Andrea Marcone and Stefano Amaducci
Smart Agricultural Technology 3 100067 (2023)
https://doi.org/10.1016/j.atech.2022.100067

Estimation of Leaf Area Index Over Heterogeneous Regions Using the Vegetation Type Information and PROSAIL Model

Yangyang Zhang, Xu Han and Jian Yang
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 16 5405 (2023)
https://doi.org/10.1109/JSTARS.2023.3283535

Linking Land Use and Plant Functional Diversity Patterns in Sabah, Borneo, through Large-Scale Spatially Continuous Sentinel-2 Inference

Leon T. Hauser, Joris Timmermans, Nadejda A. Soudzilovskaia and Peter M. van Bodegom
Land 11 (4) 572 (2022)
https://doi.org/10.3390/land11040572

Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information

Jia Sun, Lunche Wang, Shuo Shi, Zhenhai Li, Jian Yang, Wei Gong, Shaoqiang Wang and Torbern Tagesson
The Crop Journal 10 (5) 1251 (2022)
https://doi.org/10.1016/j.cj.2022.04.003

Monitoring responses of NDVI and canopy temperature in a rice field to soil water and meteorological conditions

F Irsyad, H Oue and M M Mon
IOP Conference Series: Earth and Environmental Science 1059 (1) 012037 (2022)
https://doi.org/10.1088/1755-1315/1059/1/012037

High-Throughput Field Phenotyping for Evaluating Biostimulants: Biophysical Variables Estimation Through Prosail Inversion

Giulia Antonucci, Impollonia Giorgio, Croci Michele, Potenza Eleonora, Marcone Andrea and Amaducci Stefano
SSRN Electronic Journal (2022)
https://doi.org/10.2139/ssrn.4054177

Application of Landsat ETM+ and OLI Data for Foliage Fuel Load Monitoring Using Radiative Transfer Model and Machine Learning Method

Xingwen Quan, Yanxi Li, Binbin He, Geoffrey J. Cary and Gengke Lai
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 14 5100 (2021)
https://doi.org/10.1109/JSTARS.2021.3062073

Using the 3D model RAPID to invert the shoot dieback ratio of vertically heterogeneous Yunnan pine forests to detect beetle damage

Qinan Lin, Huaguo Huang, Ling Chen, Jingxu Wang, Kan Huang and Yangyang Liu
Remote Sensing of Environment 260 112475 (2021)
https://doi.org/10.1016/j.rse.2021.112475

Explaining discrepancies between spectral and in-situ plant diversity in multispectral satellite earth observation

Leon T. Hauser, Joris Timmermans, Niels van der Windt, Ângelo F. Sil, Nuno César de Sá, Nadejda A. Soudzilovskaia and Peter M. van Bodegom
Remote Sensing of Environment 265 112684 (2021)
https://doi.org/10.1016/j.rse.2021.112684

Intelligent Sampling for Vegetation Nitrogen Mapping Based on Hybrid Machine Learning Algorithms

Jochem Verrelst, Katja Berger and Juan Pablo Rivera-Caicedo
IEEE Geoscience and Remote Sensing Letters 18 (12) 2038 (2021)
https://doi.org/10.1109/LGRS.2020.3014676

Exploring the Impact of Noise on Hybrid Inversion of PROSAIL RTM on Sentinel-2 Data

Nuno César de Sá, Mitra Baratchi, Leon T. Hauser and Peter van Bodegom
Remote Sensing 13 (4) 648 (2021)
https://doi.org/10.3390/rs13040648

Estimating Leaf Area Index with Dynamic Leaf Optical Properties

Hu Zhang, Jing Li, Qinhuo Liu, Yadong Dong, Songze Li, Zhaoxing Zhang, Xinran Zhu, Liangyun Liu and Jing Zhao
Remote Sensing 13 (23) 4898 (2021)
https://doi.org/10.3390/rs13234898

Retrieval of olive tree biophysical properties from Sentinel-2 time series based on physical modelling and machine learning technique

Achraf Makhloufi, Abdelaziz Kallel, Rayda Chaker and Jean-Philippe Gastellu-Etchegorry
International Journal of Remote Sensing 42 (22) 8542 (2021)
https://doi.org/10.1080/01431161.2021.1980241

Green LAI Mapping and Cloud Gap-Filling Using Gaussian Process Regression in Google Earth Engine

Luca Pipia, Eatidal Amin, Santiago Belda, Matías Salinero-Delgado and Jochem Verrelst
Remote Sensing 13 (3) 403 (2021)
https://doi.org/10.3390/rs13030403

The global distribution of leaf chlorophyll content

H. Croft, J.M. Chen, R. Wang, G. Mo, S. Luo, X. Luo, L. He, A. Gonsamo, J. Arabian, Y. Zhang, A. Simic-Milas, T.L. Noland, Y. He, L. Homolová, Z. Malenovský, Q. Yi, J. Beringer, R. Amiri, L. Hutley, P. Arellano, C. Stahl and D. Bonal
Remote Sensing of Environment 236 111479 (2020)
https://doi.org/10.1016/j.rse.2019.111479

From local to regional: Functional diversity in differently managed alpine grasslands

Christian Rossi, Mathias Kneubühler, Martin Schütz, Michael E. Schaepman, Rudolf M. Haller and Anita C. Risch
Remote Sensing of Environment 236 111415 (2020)
https://doi.org/10.1016/j.rse.2019.111415

Landsat-8 and Sentinel-2 Canopy Water Content Estimation in Croplands through Radiative Transfer Model Inversion

Erik J. Boren and Luigi Boschetti
Remote Sensing 12 (17) 2803 (2020)
https://doi.org/10.3390/rs12172803

Comparison of Empirical and Physical Modelling for Estimation of Biochemical and Biophysical Vegetation Properties: Field Scale Analysis across an Arctic Bioclimatic Gradient

Blair E. Kennedy, Douglas J. King and Jason Duffe
Remote Sensing 12 (18) 3073 (2020)
https://doi.org/10.3390/rs12183073

Multivariate Analysis Models Based on Full Spectra Range and Effective Wavelengths Using Different Transformation Techniques for Rapid Estimation of Leaf Nitrogen Concentration in Winter Wheat

Lantao Li, Di Lin, Jin Wang, Liu Yang and Yilun Wang
Frontiers in Plant Science 11 (2020)
https://doi.org/10.3389/fpls.2020.00755

Estimation of forest leaf water content through inversion of a radiative transfer model from LiDAR and hyperspectral data

Xi Zhu, Andrew K. Skidmore, Roshanak Darvishzadeh and Tiejun Wang
International Journal of Applied Earth Observation and Geoinformation 74 120 (2019)
https://doi.org/10.1016/j.jag.2018.09.008

Mapping leaf chlorophyll content from Sentinel-2 and RapidEye data in spruce stands using the invertible forest reflectance model

Roshanak Darvishzadeh, Andrew Skidmore, Haidi Abdullah, Elias Cherenet, Abebe Ali, Tiejun Wang, Willem Nieuwenhuis, Marco Heurich, Anton Vrieling, Brian O’Connor and Marc Paganini
International Journal of Applied Earth Observation and Geoinformation 79 58 (2019)
https://doi.org/10.1016/j.jag.2019.03.003

An Overview of Global Leaf Area Index (LAI): Methods, Products, Validation, and Applications

Hongliang Fang, Frédéric Baret, Stephen Plummer and Gabriela Schaepman‐Strub
Reviews of Geophysics 57 (3) 739 (2019)
https://doi.org/10.1029/2018RG000608

Analysis of Sentinel-2 and RapidEye for Retrieval of Leaf Area Index in a Saltmarsh Using a Radiative Transfer Model

Roshanak Darvishzadeh, Tiejun Wang, Andrew Skidmore, Anton Vrieling, Brian O’Connor, Tawanda Gara, Bruno Ens and Marc Paganini
Remote Sensing 11 (6) 671 (2019)
https://doi.org/10.3390/rs11060671

Detection of Shoot Beetle Stress on Yunnan Pine Forest Using a Coupled LIBERTY2-INFORM Simulation

Qinan Lin, Huaguo Huang, Linfeng Yu and Jingxu Wang
Remote Sensing 10 (7) 1133 (2018)
https://doi.org/10.3390/rs10071133

Assessment of Sentinel-2 MSI Spectral Band Reflectances for Estimating Fractional Vegetation Cover

Bing Wang, Kun Jia, Shunlin Liang, Xianhong Xie, Xiangqin Wei, Xiang Zhao, Yunjun Yao and Xiaotong Zhang
Remote Sensing 10 (12) 1927 (2018)
https://doi.org/10.3390/rs10121927

Estimating grassland LAI using the Random Forests approach and Landsat imagery in the meadow steppe of Hulunber, China

Zhen-wang LI, Xiao-ping XIN, Huan TANG, et al.
Journal of Integrative Agriculture 16 (2) 286 (2017)
https://doi.org/10.1016/S2095-3119(15)61303-X

Retrieval of Grassland Live Fuel Moisture Content by Parameterizing Radiative Transfer Model With Interval Estimated LAI

Xingwen Quan, Binbin He, Xing Li and Zhanmang Liao
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 9 (2) 910 (2016)
https://doi.org/10.1109/JSTARS.2015.2472415

Estimating the crop leaf area index using hyperspectral remote sensing

Ke LIU, Qing-bo ZHOU, Wen-bin WU, Tian XIA and Hua-jun TANG
Journal of Integrative Agriculture 15 (2) 475 (2016)
https://doi.org/10.1016/S2095-3119(15)61073-5

Retrieval of Leaf Area Index in mountain grasslands in the Alps from MODIS satellite imagery

Luca Pasolli, Sarah Asam, Mariapina Castelli, et al.
Remote Sensing of Environment 165 159 (2015)
https://doi.org/10.1016/j.rse.2015.04.027

Deriving Regional Crown Closure Using Spectral Mixture Analysis Based on Up-Scaling Endmember Extraction Approach and Validation

Chunxiang Cao, Haijing Tian, Yuxing Zhang, et al.
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8 (6) 2560 (2015)
https://doi.org/10.1109/JSTARS.2014.2375877

Experimental Sentinel-2 LAI estimation using parametric, non-parametric and physical retrieval methods – A comparison

Jochem Verrelst, Juan Pablo Rivera, Frank Veroustraete, et al.
ISPRS Journal of Photogrammetry and Remote Sensing 108 260 (2015)
https://doi.org/10.1016/j.isprsjprs.2015.04.013

Comparison of two inversion methods for leaf area index using HJ-1 satellite data in a temperate meadow steppe

Qiong Wu, Yunxiang Jin, Yuhai Bao, et al.
International Journal of Remote Sensing 36 (19-20) 5192 (2015)
https://doi.org/10.1080/01431161.2015.1040135

Comparative analysis of different retrieval methods for mapping grassland leaf area index using airborne imaging spectroscopy

Clement Atzberger, Roshanak Darvishzadeh, Markus Immitzer, Martin Schlerf, Andrew Skidmore and Guerric le Maire
International Journal of Applied Earth Observation and Geoinformation 43 19 (2015)
https://doi.org/10.1016/j.jag.2015.01.009

Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties – A review

Jochem Verrelst, Gustau Camps-Valls, Jordi Muñoz-Marí, et al.
ISPRS Journal of Photogrammetry and Remote Sensing 108 273 (2015)
https://doi.org/10.1016/j.isprsjprs.2015.05.005

A Bayesian Network-Based Method to Alleviate the Ill-Posed Inverse Problem: A Case Study on Leaf Area Index and Canopy Water Content Retrieval

Xingwen Quan, Binbin He and Xing Li
IEEE Transactions on Geoscience and Remote Sensing 53 (12) 6507 (2015)
https://doi.org/10.1109/TGRS.2015.2442999

Optimizing LUT-Based RTM Inversion for Semiautomatic Mapping of Crop Biophysical Parameters from Sentinel-2 and -3 Data: Role of Cost Functions

Jochem Verrelst, Juan Pablo Rivera, Ganna Leonenko, Luis Alonso and Jose Moreno
IEEE Transactions on Geoscience and Remote Sensing 52 (1) 257 (2014)
https://doi.org/10.1109/TGRS.2013.2238242

Inversion of the PROSAIL model to estimate leaf area index of maize, potato, and sunflower fields from unmanned aerial vehicle hyperspectral data

Si-Bo Duan, Zhao-Liang Li, Hua Wu, Bo-Hui Tang, Lingling Ma, Enyu Zhao and Chuanrong Li
International Journal of Applied Earth Observation and Geoinformation 26 12 (2014)
https://doi.org/10.1016/j.jag.2013.05.007

An Extended Fourier Approach to Improve the Retrieved Leaf Area Index (LAI) in a Time Series from an Alpine Wetland

Xingwen Quan, Binbin He, Yong Wang, Zhi Tang and Xing Li
Remote Sensing 6 (2) 1171 (2014)
https://doi.org/10.3390/rs6021171

Retrieval of leaf area index in alpine wetlands using a two-layer canopy reflectance model

Binbin He, Xingwen Quan and Minfeng Xing
International Journal of Applied Earth Observation and Geoinformation 21 78 (2013)
https://doi.org/10.1016/j.jag.2012.08.014

A global review of remote sensing of live fuel moisture content for fire danger assessment: Moving towards operational products

Marta Yebra, Philip E. Dennison, Emilio Chuvieco, et al.
Remote Sensing of Environment 136 455 (2013)
https://doi.org/10.1016/j.rse.2013.05.029

Empirical and Physical Estimation of Canopy Water Content from CHRIS/PROBA Data

Jesus Cernicharo, Aleixandre Verger and Fernando Camacho
Remote Sensing 5 (10) 5265 (2013)
https://doi.org/10.3390/rs5105265

Multiple Cost Functions and Regularization Options for Improved Retrieval of Leaf Chlorophyll Content and LAI through Inversion of the PROSAIL Model

Juan Rivera, Jochem Verrelst, Ganna Leonenko and José Moreno
Remote Sensing 5 (7) 3280 (2013)
https://doi.org/10.3390/rs5073280

Evaluation of near-surface soil water status through the inversion of soil–canopy radiative transfer models in the reflective optical domain

Katja Richter, Francesco Vuolo, Guido D'Urso and Mario Palladino
International Journal of Remote Sensing 33 (17) 5473 (2012)
https://doi.org/10.1080/01431161.2012.663110

Spatially constrained inversion of radiative transfer models for improved LAI mapping from future Sentinel-2 imagery

Clement Atzberger and Katja Richter
Remote Sensing of Environment 120 208 (2012)
https://doi.org/10.1016/j.rse.2011.10.035

Mapping Vegetation Density in a Heterogeneous River Floodplain Ecosystem Using Pointable CHRIS/PROBA Data

Jochem Verrelst, Erika Romijn and Lammert Kooistra
Remote Sensing 4 (9) 2866 (2012)
https://doi.org/10.3390/rs4092866

Retrieving wheat Green Area Index during the growing season from optical time series measurements based on neural network radiative transfer inversion

Grégory Duveiller, Marie Weiss, Frédéric Baret and Pierre Defourny
Remote Sensing of Environment 115 (3) 887 (2011)
https://doi.org/10.1016/j.rse.2010.11.016

Mapping grassland leaf area index with airborne hyperspectral imagery: A comparison study of statistical approaches and inversion of radiative transfer models

Roshanak Darvishzadeh, Clement Atzberger, Andrew Skidmore and Martin Schlerf
ISPRS Journal of Photogrammetry and Remote Sensing 66 (6) 894 (2011)
https://doi.org/10.1016/j.isprsjprs.2011.09.013

Evaluation of Sentinel-2 Spectral Sampling for Radiative Transfer Model Based LAI Estimation of Wheat, Sugar Beet, and Maize

K Richter, C Atzberger, F Vuolo and G D'Urso
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 4 (2) 458 (2011)
https://doi.org/10.1109/JSTARS.2010.2091492

Retrieval of Canopy Closure and LAI of Moso Bamboo Forest Using Spectral Mixture Analysis Based on Real Scenario Simulation

Huaqiang Du, Weiliang Fan, Guomo Zhou, et al.
IEEE Transactions on Geoscience and Remote Sensing 49 (11) 4328 (2011)
https://doi.org/10.1109/TGRS.2011.2107327

Inversion of a Radiative Transfer Model for Estimating Forest LAI From Multisource and Multiangular Optical Remote Sensing Data

Guijun Yang, Chunjiang Zhao, Qiang Liu, Wenjiang Huang and Jihua Wang
IEEE Transactions on Geoscience and Remote Sensing 49 (3) 988 (2011)
https://doi.org/10.1109/TGRS.2010.2071416

Earth Observation products for operational irrigation management in the context of the PLEIADeS project

G. D’Urso, K. Richter, A. Calera, M.A. Osann, R. Escadafal, J. Garatuza-Pajan, L. Hanich, A. Perdigão, J.B. Tapia and F. Vuolo
Agricultural Water Management 98 (2) 271 (2010)
https://doi.org/10.1016/j.agwat.2010.08.020

Scaling up Semi-Arid Grassland Biochemical Content from the Leaf to the Canopy Level: Challenges and Opportunities

Yuhong He and Amy Mui
Sensors 10 (12) 11072 (2010)
https://doi.org/10.3390/s101211072

Estimation of LAI and FAPAR by constraining the leaf and soil spectral characteristics in a radiative transfer model

Keiji Kushida and Kunihiko Yoshino
International Journal of Remote Sensing 31 (9) 2351 (2010)
https://doi.org/10.1080/01431160902998367

Applying different inversion techniques to retrieve stand variables of summer barley with PROSPECT + SAIL

M. Vohland, S. Mader and W. Dorigo
International Journal of Applied Earth Observation and Geoinformation 12 (2) 71 (2010)
https://doi.org/10.1016/j.jag.2009.10.005

Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

Clement Atzberger, Martine Guérif, Frédéric Baret and Willy Werner
Computers and Electronics in Agriculture 73 (2) 165 (2010)
https://doi.org/10.1016/j.compag.2010.05.006

Experimental assessment of the Sentinel-2 band setting for RTM-based LAI retrieval of sugar beet and maize

K. Richter, C. Atzberger, F. Vuolo, P. Weihs and G. D’Urso
Canadian Journal of Remote Sensing 35 (3) 230 (2009)
https://doi.org/10.5589/m09-010

Enhanced Automated Canopy Characterization from Hyperspectral Data by a Novel Two Step Radiative Transfer Model Inversion Approach

Wouter Dorigo, Rudolf Richter, Frédéric Baret, Richard Bamler and Wolfgang Wagner
Remote Sensing 1 (4) 1139 (2009)
https://doi.org/10.3390/rs1041139

Utility of an image-based canopy reflectance modeling tool for remote estimation of LAI and leaf chlorophyll content at the field scale

Rasmus Houborg, Martha Anderson and Craig Daughtry
Remote Sensing of Environment 113 (1) 259 (2009)
https://doi.org/10.1016/j.rse.2008.09.014

PROSPECT+SAIL models: A review of use for vegetation characterization

Stéphane Jacquemoud, Wout Verhoef, Frédéric Baret, et al.
Remote Sensing of Environment 113 S56 (2009)
https://doi.org/10.1016/j.rse.2008.01.026

Modelling PRI for water stress detection using radiative transfer models

L. Suárez, P.J. Zarco-Tejada, J.A.J. Berni, V. González-Dugo and E. Fereres
Remote Sensing of Environment 113 (4) 730 (2009)
https://doi.org/10.1016/j.rse.2008.12.001

Scientific and technical challenges in remote sensing of plant canopy reflectance and fluorescence

Zbyněk Malenovský, Kumud Bandhu Mishra, František Zemek, Uwe Rascher and Ladislav Nedbal
Journal of Experimental Botany 60 (11) 2987 (2009)
https://doi.org/10.1093/jxb/erp156

Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data

M.C. González-Sanpedro, T. Le Toan, J. Moreno, L. Kergoat and E. Rubio
Remote Sensing of Environment 112 (3) 810 (2008)
https://doi.org/10.1016/j.rse.2007.06.018

Estimation of leaf area and clumping indexes of crops with hemispherical photographs

Valérie Demarez, Sylvie Duthoit, Frédéric Baret, Marie Weiss and Gérard Dedieu
Agricultural and Forest Meteorology 148 (4) 644 (2008)
https://doi.org/10.1016/j.agrformet.2007.11.015

Neue Ansätze zur frühzeitigen Erkennung und Lokalisierung von Zuckerrübenkrankheiten

Christian Hillnhütter and Anne-Katrin Mahlein
Gesunde Pflanzen 60 (4) 143 (2008)
https://doi.org/10.1007/s10343-008-0196-0

Fusion of imaging spectrometer and LIDAR data over combined radiative transfer models for forest canopy characterization

Benjamin Koetz, Guoqing Sun, Felix Morsdorf, et al.
Remote Sensing of Environment 106 (4) 449 (2007)
https://doi.org/10.1016/j.rse.2006.09.013

Applicability of the PROSPECT model for Norway spruce needles

Z. Malenovský, J. Albrechtová, Z. Lhotáková, et al.
International Journal of Remote Sensing 27 (24) 5315 (2006)
https://doi.org/10.1080/01431160600762990

Characterization of seasonal variation of forest canopy in a temperate deciduous broadleaf forest, using daily MODIS data

Qingyuan Zhang, Xiangming Xiao, Bobby Braswell, et al.
Remote Sensing of Environment 105 (3) 189 (2006)
https://doi.org/10.1016/j.rse.2006.06.013

Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics

Benjamin Koetz, Frédéric Baret, Hervé Poilvé and Joachim Hill
Remote Sensing of Environment 95 (1) 115 (2005)
https://doi.org/10.1016/j.rse.2004.11.017

Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations

M. Meroni, R. Colombo and C. Panigada
Remote Sensing of Environment 92 (2) 195 (2004)
https://doi.org/10.1016/j.rse.2004.06.005