Influence of landscape spatial heterogeneity on the non-linear estimation of leaf area index from moderate spatial resolution remote sensing data

[1]  W. Verhoef.  Light scattering by leaf layers with application to canopy reflectance modeling: The Scattering by Arbitrarily Inclined Leaves (SAIL) model , 1984 .

[2]  W. Verhoef.  Light scattering by leaf layers with application to canopy reflectance modelling: The SAIL model , 1984 .

[3]  P. Sellers.  Canopy reflectance, photosynthesis and transpiration , 1985 .

[4]  P. Sellers.  Canopy reflectance, photosynthesis, and transpiration. II. the role of biophysics in the linearity of their interdependence , 1987 .

[5]  C. Justice,et al.  Selecting the spatial resolution of satellite sensors required for global monitoring of land transformations , 1988 .

[6]  F. Baret,et al.  Potentials and limits of vegetation indices for LAI and APAR assessment , 1991 .

[7]  J. Chen,et al.  Defining leaf area index for non‐flat leaves , 1992 .

[8]  S. Goetz,et al.  Satellite remote sensing of surface energy balance : success, failures, and unresolved issues in FIFE , 1992 .

[9]  Fei Chen,et al.  Development and analysis of prognostic equations for mesoscale kinetic energy and mesoscale (subgrid scale) fluxes for large-scale atmospheric models , 1993 .

[10]  M. Raffy,et al.  Heterogeneity and change of scale in models of remote sensing. Spatialization of multi-spectral models , 1994 .

[11]  R. Fournier,et al.  Remote sensing and the measurement of geographical entities in a forested environment. 2. The optimal spatial resolution , 1994 .

[12]  Hans Wackernagel,et al.  Multivariate Geostatistics: An Introduction with Applications , 1996 .

[13]  Mark A. Friedl,et al.  Scaling and uncertainty in the relationship between the NDVI and land surface biophysical variables: An analysis using a scene simulation model and data from FIFE , 1995 .

[14]  R. Myneni,et al.  The interpretation of spectral vegetation indexes , 1995 .

[15]  A. Fischer,et al.  Predicting Crop Reflectances Using Satellite Data Observing Mixed Pixels , 1997 .

[16]  Shafiqul Islam,et al.  A framework for analyzing and designing scale invariant remote sensing algorithms , 1997, IEEE Trans. Geosci. Remote. Sens..

[17]  Ranga B. Myneni,et al.  Estimation of global leaf area index and absorbed par using radiative transfer models , 1997, IEEE Trans. Geosci. Remote. Sens..

[18]  M. Goodchild,et al.  Scale in Remote Sensing and GIS , 2023 .

[19]  H. Tian,et al.  Effect of interannual climate variability on carbon storage in Amazonian ecosystems , 1998, Nature.

[20]  A. Bondeau,et al.  Combining agricultural crop models and satellite observations: from field to regional scales , 1998 .

[21]  J. Chen.  Spatial Scaling of a Remotely Sensed Surface Parameter by Contexture , 1999 .

[22]  K. Hibbard,et al.  A Global Terrestrial Monitoring Network Integrating Tower Fluxes, Flask Sampling, Ecosystem Modeling and EOS Satellite Data , 1999 .

[23]  Edzer Pebesma,et al.  Spatial aggregation and soil process modelling , 1999 .

[24]  F. Baret,et al.  Evaluation of Canopy Biophysical Variable Retrieval Performances from the Accumulation of Large Swath Satellite Data , 1999 .

[25]  J. Chilès,et al.  Geostatistics: Modeling Spatial Uncertainty , 1999 .

[26]  R. Myneni,et al.  Investigation of a model inversion technique to estimate canopy biophysical variables from spectral and directional reflectance data , 2000 .

[27]  H. Pelgrum,et al.  Spatial aggregation of land surface characteristics: impact of resolution of remote sensing data on land surface modelling. , 2000 .

[28]  G. Asner,et al.  Satellite observation of El Niño effects on Amazon Forest phenology and productivity , 2000 .

[29]  Gérard Dedieu,et al.  Calibrating a Coupled SVAT–Vegetation Growth Model with Remotely Sensed Reflectance and Surface Temperature—A Case Study for the HAPEX-Sahel Grassland Sites , 2000 .

[30]  W Ogana,et al.  Contribution of Working Group 1 to the Third Assessment Report of the Intergovernmental Panel on Climate Change , 2001 .

[31]  Y. Tessier,et al.  Multifractals and resolution-independent remote sensing algorithms: The example of ocean colour , 2001 .

[32]  C. Woodcock,et al.  Multiscale analysis and validation of the MODIS LAI product: II. Sampling strategy , 2002 .

[33]  C. Justice,et al.  A framework for the validation of MODIS Land products , 2002 .

[34]  P. Atkinson,et al.  Uncertainty in remote sensing and GIS , 2002 .

[35]  F. Baret,et al.  Validation of neural net techniques to estimate canopy biophysical variables from remote sensing data , 2002 .

[36]  C. Woodcock,et al.  Multiscale analysis and validation of the MODIS LAI product: I. Uncertainty assessment , 2002 .

[37]  J. Privette,et al.  VALERI: a network of sites and a methodology for the validation of medium spatial resolution land satellite products , 2003 .

[38]  Frédéric Baret,et al.  Validation of global moderate-resolution LAI products: a framework proposed within the CEOS land product validation subgroup , 2006, IEEE Transactions on Geoscience and Remote Sensing.

[39]  Jennifer L. Dungan,et al.  Toward a Comprehensive View of Uncertainty in Remote Sensing Analysis , 2006 .

[40]  F. Baret,et al.  Quantifying spatial heterogeneity at the landscape scale using variogram models , 2006 .