Paper Info
Title
A physically based approach in retrieving vegetation Leaf Area Index from Landsat surface reflectance data
Abstract
In this study, we aim to generate global 30-m Leaf Area Index (LAI) from Landsat surface reflectance data using the radiative transfer theory of canopy spectral invariants which facilitates parameterization of the canopy spectral bidirectional reflectance factor (BRF). Furthermore, canopy spectral invariants introduce an efficient way for incorporating multiple bands for retrieving LAI. We incorporate a 3-band retrieval scheme including the Red, NIR and SWIR bands, the SWIR band being specifically useful in low LAI regions and thus compensating for background effects. The initial results have satisfactory agreement with MODIS LAI, although with spatially more detailed structure and variability. A future exercise will be to introduce field measured LAI estimates to minimize the differences between model-simulated LAI's and in-situ observations.
Year
DOI
Venue
2010
10.1109/WHISPERS.2010.5594875
WHISPERS
Keywords
Field
DocType
atmospheric boundary layer,geophysical signal processing,radiative transfer,reflectivity,vegetation,landsat surface reflectance data,modis lai,bidirectional reflectance factor,canopy spectral invariants,radiative transfer theory,vegetation leaf area index,landsat,modis,leaf area index,scaling,remote sensing,earth,indexes,satellites
Leaf area index,Satellite,Vegetation,Parametrization,Remote sensing,Environmental science,Radiative transfer,Reflectivity,Planetary boundary layer,Canopy
Conference
ISBN
Citations 
PageRank 
978-1-4244-8907-7
0
0.34
References 
Authors
0
11
Name
Order
Citations
PageRank
Sangram Ganguly113620.73
ramakrishna nemani200.34
Yuri Knyazikhin3419126.42
Weile Wang4115.63
Hirofumi Hashimoto5509.08
Petr Votava66610.03
Andrew R. Michaelis7508.13
Cristina Milesi8285.59
Jennifer L. Dungan9648.54
f s melton1062.42
Ranga B. Myneni11744184.45