Wide Dynamic Range Vegetation Index for Remote Quantification of Biophysical Characteristics of Vegetation
References (33)
- et al.
Potentials and limits of vegetation indices for LAI and PAR assessment
Remote Sens Environ
(1991) - et al.
Retrieving leaf area index of boreal conifer forests using Landsat TM images
Remote Sens Environ
(1996) - et al.
Estimating corn leaf chlorophyll status from leaf and canopy reflectance
Remote Sens Environ
(2000) - et al.
MODIS NDVI Optimization to Fit the AVHRR Data Series – Spectral Considerations
Remote Sens Environ
(1998) - et al.
Use of green channel in remote sensing of global vegetation from EOS-MODIS
Remote Sens Environ
(1996) - et al.
Novel algorithms for remote estimation of vegetation fraction
Remote Sens Environ
(2002) A soil-adjusted vegetation index (SAVI)
Remote Sens Environ
(1988)- et al.
A comparison of vegetation indices over a global set of TM images for EOSMODIS
Remote Sens Environ
(1997) - et al.
Overview of radiometric and biophysical performance of the MODIS vegetation indices
Remote Sens Environ
(2002) - et al.
Bidirectional calibration results for 11 Spectralon and 16 BaSO4 reference reflectance panels
Remote Sens Environ
(1992)
Opportunities and limitations for image-based remote sensing in precision crop management
Remote Sens Environ
(1997)
Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data
Remote Sens Environ
(2002)
Estimating PAR absorbed by vegetation from bi-directional reflectance measurements
Remote Sens Environ
(1995)
Potential and limitations of information extraction on the terrestrial biosphere from satellite remote sensing
Remote Sens Environ
(1996)
Estimating absorbed photosynthetic radiation and leaf area index from spectral reflectance in wheat
Agron J
(1984)
TSAVI: a vegetation index, which minimizes soil brightness effects on LAI and APAR estimation
Cited by (877)
A chlorophyll-constrained semi-empirical model for estimating leaf area index using a red-edge vegetation index
2024, Computers and Electronics in AgricultureA SIF-based approach for quantifying canopy photosynthesis by simulating the fraction of open PSII reaction centers (q<inf>L</inf>)
2024, Remote Sensing of EnvironmentQuantifying canopy nitrogen of Aman rice utilizing multi-temporal unmanned aerial systems
2024, Remote Sensing Applications: Society and EnvironmentEstimation of aboveground biomass of senescence grassland in China's arid region using multi-source data
2024, Science of the Total Environment
Copyright © 2004 Urban & Fischer Verlag. Published by Elsevier GmbH All rights reserved.