PROSPECT+SAIL models: A review of use for vegetation characterization
Tài liệu tham khảo
Allen, 1969, Interaction of isotropic light with a compact plant leaf, Journal of the Optical Society of America, 59, 1376, 10.1364/JOSA.59.001376
Andrieu, 1997, Evaluation of an improved version of the SAIL model to simulate bidirectional reflectance of sugar beet canopies, Remote Sensing of Environment, 60, 247, 10.1016/S0034-4257(96)00126-5
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, 2006, Neural network estimation of LAI, fAPAR, fCover and LAI × Cab, from top of canopy MERIS reflectance data: Principles and validation, Remote Sensing of Environment, 105, 313, 10.1016/j.rse.2006.07.014
Bacour, 2002, Information content of HyMap hyperspectral imagery, 503
Bacour, 2002, Reliability of the estimation of vegetation characteristics by inversion of three canopy reflectance models on airborne POLDER data, Agronomie: Agriculture and Environment, 22, 555, 10.1051/agro:2002039
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
Bacour, 2001, Optimal sampling configurations for the estimation of canopy properties from BRDF data acquired with the EGO/JRC, 481
Baret, 2008, Estimating canopy characteristics from remote sensing observations: Review of methods and associated problems, 171
Baret, 1995, The robustness of canopy gap fraction estimates from red and near-infrared reflectances: A comparison of approaches, Remote Sensing of Environment, 54, 141, 10.1016/0034-4257(95)00136-O
Baret, 2007, LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION. Part 1: Principles of the algorithm, Remote Sensing of Environment, 110, 275, 10.1016/j.rse.2007.02.018
Baret, 1992, Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bands, Remote Sensing of Environment, 41, 133, 10.1016/0034-4257(92)90073-S
Baret, 1994, Use of spectral analogy to evaluate canopy reflectance sensitivity to leaf optical properties, Remote Sensing of Environment, 48, 253, 10.1016/0034-4257(94)90146-5
Blondlot, 2005, Providing operational nitrogen recommendations to farmers using satellite imagery, 345
Bousquet, 2005, Leaf BRDF measurement and model for specular and diffuse component differentiation, Remote Sensing of Environment, 98, 201, 10.1016/j.rse.2005.07.005
Bowyer, 2004, Sensitivity of spectral reflectance to variation in live fuel moisture content at leaf and canopy level, Remote Sensing of Environment, 92, 297, 10.1016/j.rse.2004.05.020
Broge, 2000, Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density, Remote Sensing of Environment, 76, 156, 10.1016/S0034-4257(00)00197-8
Casa, 2004, Retrieval of crop canopy properties: a comparison between model inversion from hyperspectral data and image classification, International Journal of Remote Sensing, 25, 1119, 10.1080/01431160310001595046
Ceccato, 2002, Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1. Theoretical approach, Remote Sensing of Environment, 82, 188, 10.1016/S0034-4257(02)00037-8
Chaurasia, 2004, Comparison of principal component inversion with VI-empirical approach for LAI estimation using simulated reflectance data, International Journal of Remote Sensing, 25, 2881, 10.1080/01431160410001685018
Cheng, 2006, Estimating vegetation water content with hyperspectral data for different canopy scenarios: Relationships between AVIRIS and MODIS indexes, Remote Sensing of Environment, 105, 354, 10.1016/j.rse.2006.07.005
Clevers, 1993, LAI estimation by means of the WDVI: A sensitivity analysis with a combined PROSPECT–SAIL model, Remote Sensing Reviews, 7, 43, 10.1080/02757259309532165
Combal, 2002, Improving canopy variables estimation from remote sensing data by exploiting ancillary information. Case study on sugar beet canopies, Agronomie, 22, 205, 10.1051/agro:2002008
Combal, 2002, Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem, Remote Sensing of Environment, 84, 1, 10.1016/S0034-4257(02)00035-4
Danson, 2000, Diurnal water stress in sugar beet: Spectral reflectance measurements and modelling, Agronomie, 20, 31, 10.1051/agro:2000100
Dash, 2004, The MERIS terrestrial chlorophyll index, International Journal of Remote Sensing, 25, 5403, 10.1080/0143116042000274015
Davi, 2006, Effect of aggregating spatial parameters on modelling forest carbon and water fluxes, Agricultural and Forest Meteorology, 139, 269, 10.1016/j.agrformet.2006.07.007
Dawson, 1999, The propagation of foliar biochemical absorption features in forest canopy reflectance: A theoretical analysis, Remote Sensing of Environment, 67, 147, 10.1016/S0034-4257(98)00081-9
Demarez, 2000, A modeling approach for studying forest chlorophyll content, Remote Sensing of Environment, 71, 226, 10.1016/S0034-4257(99)00089-9
Feret, 1998, PROSPECT-4 and 5: advances in the leaf optical properties model separating photosynthetic pigments, Remote Sensing of Environment, 112, 3030, 10.1016/j.rse.2008.02.012
Fourty, 1996, Optical properties of dry plant leaves with explicit description of their biochemical composition: Direct and inverse problems, Remote Sensing of Environment, 56, 104, 10.1016/0034-4257(95)00234-0
Ganapol, 1999, LCM2: A coupled leaf/canopy radiative transfer model, Remote Sensing of Environment, 70, 153, 10.1016/S0034-4257(99)00030-9
Goel, 1989, Inversion of canopy reflectance models for estimation of biophysical parameters from reflectance data, 205
Goel, 1983, Inversion of vegetation canopy reflectance models for estimating agronomic variables. I. Problem definition and initial results using the Suits model, Remote Sensing of Environment, 13, 487, 10.1016/0034-4257(83)90055-X
González-Sanpedro, 2008, Seasonal variations of leaf area index of agricultural fields retrieved from Landsat data, Remote Sensing of Environment, 112, 810, 10.1016/j.rse.2007.06.018
Haboudane, 2002, Integrated narrow-band vegetation indices for prediction of crop chlorophyll content for application to precision agriculture, Remote Sensing of Environment, 81, 416, 10.1016/S0034-4257(02)00018-4
Hapke, 1981, Bidirectional reflectance spectroscopy. 1. Theory, Journal of Geophysical Research, 86, 3039, 10.1029/JB086iB04p03039
Hapke, 1981, Bidirectional reflectance spectroscopy. 2. Experiments and observations, Journal of Geophysical Research, 86, 3055, 10.1029/JB086iB04p03055
Huemmrich, 2001, The GeoSail model: A simple addition to the SAIL model to describe discontinuous canopy reflectance, Remote Sensing of Environment, 75, 423, 10.1016/S0034-4257(00)00184-X
Jacquemoud, 1993, Inversion of the PROSPECT+SAIL canopy reflectance model from AVIRIS equivalent spectra: theoretical study, Remote Sensing of Environment, 44, 281, 10.1016/0034-4257(93)90022-P
Jacquemoud, 2000, Comparison of four radiative transfer models to simulate plant canopies reflectance—Direct and inverse mode, Remote Sensing of Environment, 74, 471, 10.1016/S0034-4257(00)00139-5
Jacquemoud, 1990, PROSPECT: A model of leaf optical properties spectra, Remote Sensing of Environment, 34, 75, 10.1016/0034-4257(90)90100-Z
Jacquemoud, 1993, Estimating vegetation biophysical parameters by inversion of a reflectance model on high spectral resolution data, 339
Jacquemoud, 1995, Extraction of vegetation biophysical parameters by inversion of the PROSPECT+SAIL model on sugar beet canopy reflectance data — Application to TM and AVIRIS sensors, Remote Sensing of Environment, 52, 163, 10.1016/0034-4257(95)00018-V
Jacquemoud, 1992, Modeling spectral and directional soil reflectance, Remote sensing of Environment, 41, 123, 10.1016/0034-4257(92)90072-R
Jacquemoud, 1994, Comparison of several optimization methods to extract canopy biophysical parameters, 291
Jacquemoud, 1996, Estimating leaf biochemistry using the PROSPECT leaf optical properties model, Remote Sensing of Environment, 56, 194, 10.1016/0034-4257(95)00238-3
Kai, M., Baret, F., Barroy, P., Bousquet, L., & Buis, S. (in press). Measurements and modeling of optical properties differences between leaf faces. Consequences on canopy reflectance. Remote Sensing of Environment.
Kimes, 2000, Inversion methods for physically-based models, Remote Sensing Reviews, 18, 381, 10.1080/02757250009532396
Koetz, 2005, Use of coupled canopy structure dynamic and radiative transfer models to estimate biophysical canopy characteristics, Remote Sensing of Environment, 95, 115, 10.1016/j.rse.2004.11.017
Koetz, 2004, Radiative transfer modeling within heterogeneous canopy for estimation of forest fire fuel properties, Remote Sensing of Environment, 92, 332, 10.1016/j.rse.2004.05.015
Kuusk, 1991, The hot spot effect in plant canopy reflectance, 139
Kuusk, 1994, A multispectral canopy reflectance model, Remote Sensing of Environment, 50, 75, 10.1016/0034-4257(94)90035-3
Kuusk, 1995, A Markov chain model of canopy reflectance, Agricultural and Forest Meteorology, 76, 221, 10.1016/0168-1923(94)02216-7
Lacaze, 2005, POLDER-2 Land surface level 3 products, 70
Lauvernet, 2008, Multitemporal-patch ensemble inversion of coupled surface-atmosphere radiative transfer models for land surface characterization, Remote Sensing of Enviroment, 112, 851, 10.1016/j.rse.2007.06.027
Le Maire, 2005, Modelling annual production and carbon fluxes of a large managed temperate forest using forest inventories, satellite data and field measurements, Tree Physiology, 25, 859, 10.1093/treephys/25.7.859
Le Maire, 2004, Towards universal deciduous broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements, Remote Sensing of Environment, 89, 1, 10.1016/j.rse.2003.09.004
Le Maire, 2008, Calibration and validation of hyperspectral indices for the estimation of broadleaves forest leaf chlorophyll content, leaf mass per area, leaf area index and leaf canopy biomass, Remote Sensing of Environment, 112, 3846, 10.1016/j.rse.2008.06.005
Liang, 2003
Meroni, 2004, Inversion of a radiative transfer model with hyperspectral observations for LAI mapping in poplar plantations, Remote Sensing of Environment, 92, 195, 10.1016/j.rse.2004.06.005
Miller, 2005
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
Myneni, 2002, Global products of vegetation leaf area and absorbed PAR from year one of MODIS data, Remote Sensing of Environment, 83, 214, 10.1016/S0034-4257(02)00074-3
Pedrós, R., Goulas, Y., Jacquemoud, S., Louis, J., & Moya, I. submitted for publication. FluorMODleaf: A new leaf fluorescence emission model based on the PROSPECT model. Remote Sensing of Environment.
Plummer, 2000, Perspectives on combining ecological process models and remotely sensed data, Ecological Modeling, 129, 169, 10.1016/S0304-3800(00)00233-7
Plummer, 1994, The angular vegetation index: An atmospherically resistant index for the second Along Track Scanning Radiometer (ATSR-2), 717
Rosema, 1991, Simulating fluorescence light-canopy interaction in support of laser-induced fluorescence measurements, Remote Sensing of Environment, 37, 117, 10.1016/0034-4257(91)90023-Y
Schaepman-Strub, 2006, Reflectance quantities in optical remote sensing — Definitions and case studies, Remote Sensing of Environment, 103, 27, 10.1016/j.rse.2006.03.002
Schlerf, 2007, Comparing three canopy reflectance models with hyperspectral multi-angular satellite data, 404
Soudani, 2006, Comparative analysis of IKONOS, SPOT, and ETM+ data for leaf area index estimation in temperate coniferous and deciduous forest stands, Remote Sensing of Environment, 102, 161, 10.1016/j.rse.2006.02.004
Suits, 1972, The calculation of the directional reflectance of a vegetative canopy, Remote Sensing of Environment, 2, 117, 10.1016/0034-4257(71)90085-X
Tarantola, 2005, Inverse problem theory and model parameter estimation
Trombetti, 2008, Multi-temporal vegetation canopy water content retrieval using artificial neural networks for the USA, Remote Sensing of Environment, 112, 203, 10.1016/j.rse.2007.04.013
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
Verhoef, 2005, Earth observation model sensitivity analysis to assess mission performances in terms of geo-biophysical variable retrieval accuracies, 324
Verhoef, 2003, Remote sensing data assimilation using coupled radiative transfer models, Physics and Chemistry of the Earth, 28, 3, 10.1016/S1474-7065(03)00003-2
Verhoef, 2003, Simulation of hyperspectral and directional radiance images using coupled biophysical and atmospheric radiative transfer models, Remote Sensing of Environment, 87, 23, 10.1016/S0034-4257(03)00143-3
Verhoef, 2007, Coupled soil-leaf-canopy and atmosphere radiative transfer modeling to simulate hyperspectral multi-angular surface reflectance and TOA radiance data, Remote Sensing of Environment, 109, 166, 10.1016/j.rse.2006.12.013
Verhoef, 2007, Unified optical-thermal four-stream radiative transfer theory for homogeneous vegetation canopies, IEEE Transactions on Geoscience and Remote Sensing, 45, 1808, 10.1109/TGRS.2007.895844
Verstraete, 1996, Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing, Remote Sensing of Environment, 58, 201, 10.1016/S0034-4257(96)00069-7
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
Weiss, 2007, LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION. part 2: Validation and comparison with MODIS Collection 4 products, Remote Sensing of Environment, 110, 317, 10.1016/j.rse.2007.03.001
Weiss, 2002, Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data, Agronomie, 22, 547, 10.1051/agro:2002036
Weiss, 2000, Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data, Agronomie, 20, 3, 10.1051/agro:2000105
Weiss, 2001, Coupling canopy functioning and radiative transfer models for remote sensing data assimilation, Agricultural and Forest Meteorology, 108, 113, 10.1016/S0168-1923(01)00234-9
Widlowski, 2007, Third Radiation Transfer Model Intercomparison (RAMI) exercise: Documenting progress in canopy reflectance models source, Journal of Geophysical Research-Atmospheres, 112, D09111, 10.1029/2006JD007821
Yang, 2004, Improved model inversion procedure for plant water status assessment under artificial lighting using PROSPECT+SAIL, Transactions of the ASAE, 47, 1833, 10.13031/2013.17600
Zarco-Tejada, 2004, Needle chlorophyll content estimation through model inversion using hyperspectral data from Boreal conifer forest canopies, Remote Sensing of Environment, 89, 1989, 10.1016/j.rse.2002.06.002
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
Zarco-Tejada, 2001, Scaling-up and model inversion methods with narrow-band optical indices for chlorophyll content estimation in closed forest canopies with hyperspectral data, IEEE Transactions on Geoscience and Remote Sensing, 39, 1491, 10.1109/36.934080
Zarco-Tejada, 2006, FluorMODgui V3.0: A graphic user interface for the spectral simulation of leaf and canopy chlorophyll fluorescence, Computers & Geosciences, 32, 577, 10.1016/j.cageo.2005.08.010
Zarco-Tejada, 2003, Water content estimation in vegetation with MODIS reflectance data and model inversion methods, Remote Sensing of Environment, 85, 109, 10.1016/S0034-4257(02)00197-9
Zhang, 2005, Estimating light absorption by chlorophyll, leaf and canopy in a deciduous broadleaf forest using MODIS data and a radiative transfer model, Remote Sensing of Environment, 99, 357, 10.1016/j.rse.2005.09.009