DocumentCode :
762248
Title :
Estimation and validation of land surface broadband albedos and leaf area index from EO-1 ALI data
Author :
Liang, Shunlin ; Fang, Hongliang ; Kaul, Monisha ; Van Niel, Tom G. ; McVicar, Tim R. ; Pearlman, Jay S. ; Walthall, Charles L. ; Daughtry, Craig S T ; Huemmrich, Karl Fred
Author_Institution :
Dept. of Geogr., Univ. of Maryland, College Park, MD, USA
Volume :
41
Issue :
6
fYear :
2003
fDate :
6/1/2003 12:00:00 AM
Firstpage :
1260
Lastpage :
1267
Abstract :
The Advanced Land Imager (ALI) is a multispectral sensor onboard the National Aeronautics and Space Administration Earth Observing 1 (EO-1) satellite. It has similar spatial resolution to Landsat-7 Enhanced Thematic Mapper Plus (ETM+), with three additional spectral bands. We developed new algorithms for estimating both land surface broadband albedo and leaf area index (LAI) from ALI data. A recently developed atmospheric correction algorithm for ETM+ imagery was extended to retrieve surface spectral reflectance from ALI top-of-atmosphere observations. A feature common to these algorithms is the use of new multispectral information from ALI. The additional blue band of ALI is very useful in our atmospheric correction algorithm, and two additional ALI near-infrared bands are valuable for estimating both broadband albedo and LAI. Ground measurements at Beltsville, MD, and Coleambally, Australia, were used to validate the products generated by these algorithms.
Keywords :
albedo; atmospheric optics; geophysical signal processing; geophysical techniques; vegetation mapping; 400 to 2500 nm; ALI; Advanced Land Imager; EO-1; IR; albedo; algorithm; atmospheric correction; geophysical measurement technique; infrared; land surface; leaf area index; multispectral sensor; optical reflectivity; satellite remote sensing; surface spectral reflectance; terrain mapping; validation; vegetation mapping; visible; Atmospheric measurements; Australia; Earth; Image retrieval; Image sensors; Land surface; Reflectivity; Remote sensing; Satellites; Spatial resolution;
fLanguage :
English
Journal_Title :
Geoscience and Remote Sensing, IEEE Transactions on
Publisher :
ieee
ISSN :
0196-2892
Type :
jour
DOI :
10.1109/TGRS.2003.813203
Filename :
1220233
Link To Document :
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