Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation
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Abuelgasim, 1998, Forward and inverse modelling of canopy directional reflectance using a neural network, International Journal of Remote Sensing, 19, 453, 10.1080/014311698216099
Atkinson, 1997, Neural networks in remote sensing, International Journal of Remote Sensing, 18, 699, 10.1080/014311697218700
Atzberger, 2004, Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models, Remote Sensing of Environment, 93, 53, 10.1016/j.rse.2004.06.016
Bacour, 2002, Design and analysis of numerical experiments to compare four canopy reflectance models, Remote Sensing of Environment, 79, 72, 10.1016/S0034-4257(01)00240-1
Baret, 1997, Radiometric estimates of nitrogen status of leaves and canopies, 201
Baret, 2006, Evaluation of the representativeness of networks of sites for the global validation and inter-comparison of land biophysical products. Proposition of the CEOS-BELMANIP, IEEE Transactions on Geoscience and Remote Sensing, 44, 1794, 10.1109/TGRS.2006.876030
Baret, F., Pavageau, K., Béal, D., Weiss, M., Berthelot, B., Regner, P. (2006b). Algorithm Theoretical Basis Document for MERIS Top of Atmosphere Land Products (TOA_VEG) - version 3, 37 pp., http://www.brockmann-consult.de/beam/software/plugins/toaveg-1.1.0/MERIS_ATBD_TOA_VEG_03_06.pdf
Baret, F., Weiss, M., Allard, D., Garrigues, S., Leroy, M., Jeanjean, H., Fernandes, R., Myneni, R. B., Privette, J.L., Morisette, J., Bohbot, H., Bosseno, R., Dedieu, G., Di Bella, C., Duchemin, B., Espana, M., Gond, V., Gu, X. F., Guyon, D., Lelong, C., Maisongrande, P., Mougin, E., Nilson, T., Veroustraete, F., Vintilla, R. (submitted for publication). VALERI: a network of sites and a methodology for the validation of medium spatial resolution land satellite products, Remote Sensing of Environment.
Béal, D., Baret, F., Bacour, C., Pavageau, K., Gu, X. -F. (submitted for publication). A method for aerosol correction from the spectral variation in the visible and near infrared. Application to the MERIS sensor, International Journal of Remote Sensing.
Buermann, 2002, Analysis of multiyear global vegetation index data set, Journal of Geophysical Research, 107, 4646, 10.1029/2001JD000975
Campbell, 1990, Derivation of an angle density function for canopies with ellipsoidal leaf angle distribution, Agricultural and Forest Meteorology, 49, 173, 10.1016/0168-1923(90)90030-A
Cohen, 2003, 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, Remote Sensing of Environment, 88, 233, 10.1016/j.rse.2003.06.006
Combal, 2002, Retrieval of canopy biophysical variables from bi-directional reflectance. Using prior information to solve the ill-posed inverse problem, Remote Sensing of Environment, 84, 1, 10.1016/S0034-4257(02)00035-4
Chen, 2002, Derivation and validation of Canada-wide coarse-resolution leaf area index maps using high-resolution satellite imagery and ground measurements, Remote Sensing of Environment, 80, 165, 10.1016/S0034-4257(01)00300-5
Danson, 2003, Training a neural network with a canopy reflectance model to estimate crop leaf area index, International Journal of Remote Sensing, 24, 4891, 10.1080/0143116031000070319
Daughtry, 2000, Estimating corn leaf chlorophyll concentration from leaf and canopy reflectance, Remote Sensing of Environment, 74, 229, 10.1016/S0034-4257(00)00113-9
Derive, 2003, CYTTARES: A global database for the training and inter-comparison of biophysical products derived from medium resolution sensors
Fang, 2005, A hybrid inversion method for mapping leaf area index from MODIS data: Experiments and application to broadleaf and needleleaf canopies, Remote Sensing of Environment, 94, 405, 10.1016/j.rse.2004.11.001
Fourty, 1997, 35
Gobron, 1999, The MERIS global vegetation index (MGVI): Description and preliminary application, International Journal of Remote Sensing, 20, 1917, 10.1080/014311699212542
Gross, 2000, Artificial neural networks for modeling the transfer function between marine reflectance and phytoplankton pigment concentration, Journal of Geophysical Research, 105, 3483, 10.1029/1999JC900278
Holben, 1998, AERONET—A federal instrument network and data archive for aerosol characterization, Remote Sensing of Environment, 66, 1, 10.1016/S0034-4257(98)00031-5
Jacquemoud, 1990, PROSPECT: A model of leaf optical properties spectra, Remote Sensing of Environment, 34, 75, 10.1016/0034-4257(90)90100-Z
Kimes, 2000, Inversion methods for physically-based models, Remote Sensing Reviews, 18, 381, 10.1080/02757250009532396
Kimes, 1998, Attributes of neural networks for extracting continuous vegetation variables from optical and radar measurements, International Journal of Remote Sensing, 19, 2639, 10.1080/014311698214433
Knyazikhin, 1998, Estimation of vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from atmosphere-corrected MISR data, Journal of Geophysical Research, 103, 32239, 10.1029/98JD02461
Knyazikhin, 1998, Synergistic algorithm for estimating vegetation canopy leaf area index and fraction of absorbed photosynthetically active radiation from MODIS and MISR data, Journal of Geophysical Research, 103, 32257, 10.1029/98JD02462
Krasnopolsky, 2003, Some neural network applications in environmental sciences. Part II: Advancing computational efficiency of environmental models, Neural Networks, 16, 335, 10.1016/S0893-6080(03)00026-1
Kuusk, 1991, The hot spot effect in plant canopy reflectance, 139
Lacaze, R. (2005). POLDER-2 land surface level-3 products user manual. Algorithm description and product validation, available at http://smsc.cnes.fr/POLDER/SCIEPROD/P2-TE3-UserManual-I1.40.pdf, 71 pp.
Liu, 2003, Evaluation of methods for soil surface moisture estimation from reflectance data, International Journal of Remote Sensing, 24, 2069, 10.1080/01431160210163155
Morisette, 2006, Validation of global moderate resolution LAI Products: A framework proposed within the CEOS Land Product Validation subgroup, IEEE Transactions on Geoscience and Remote Sensing, 44, 1804, 10.1109/TGRS.2006.872529
Rahman, 1994, SMAC: A simplified method for the atmospheric correction of satellite measurements in the solar spectrum, International Journal of Remote Sensing, 15, 123, 10.1080/01431169408954055
Rast, 1999, The ESA Medium Resolution Imaging Spectrometer MERIS—A review of the instrument and its mission, International Journal of Remote Sensing, 20, 1682, 10.1080/014311699212416
Smith, 1993, LAI inversion using a back-propagation neural network trained with a multiple scattering model, IEEE Transactions on Geoscience and Remote Sensing, 31, 1102, 10.1109/36.263783
Verhoef, 1984, Light scattering by leaf layers with application to canopy reflectance modeling: The SAIL model, Remote Sensing of Environment, 16, 125, 10.1016/0034-4257(84)90057-9
Verhoef, 1985, Earth observation modeling based on layer scattering matrices, Remote Sensing of Environment, 17, 165, 10.1016/0034-4257(85)90072-0
Viovy, 1992, The Best Index Slope Extraction (BISE): A method for reducing noise in NDVI time-series., International Journal of Remote Sensing, 13, 1585, 10.1080/01431169208904212
Wang, 2004, Evaluation of the MODIS LAI algorithm at a coniferous forest site in Finland, Remote Sensing of Environment, 91, 114, 10.1016/j.rse.2004.02.007
Weiss, 1999, Evaluation of canopy biophysical variable retrieval performances from the accumulation of large swath satellite data, Remote Sensing of Environment, 70, 293, 10.1016/S0034-4257(99)00045-0
Widlowski, 2005, Using 1-D models to interpret the reflectance anisotropy of 3-D canopy targets: Issues and caveats, IEEE Transactions on Geoscience and Remote Sensing, 43, 2008, 10.1109/TGRS.2005.853718
Zarco-Tejada, 2004, Hyperspectral indices and model simulation for chlorophyll estimation in open-canopy tree crops, Remote Sensing of Environment, 90, 463, 10.1016/j.rse.2004.01.017
Zurita-Milla, R., Clevers, J. Schaepman, M., Kneubuehler, M. (submitted for publication). Effects of MERIS L1b radiometric calibration on regional land cover mapping and land products, International Journal of Remote Sensing.