Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data
Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data
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Date
2003-06
Authors
Liang, Shunlin
Fang, Hongliang
Kaul, Monisha
Van Niel, Tom G.
McVicar, Tim R.
Pearlman, Jay S.
Huemmrich, Karl Fred
Walthall, Charles L.
Daughtry, Craig S. T.
Advisor
Citation
Liang, S., H. Fang, M. Kaul, T. Van Niel, T. McVicar, J. Pearlman, C. Walthall, C. Daughtry, F. Huemmerich, (2003), Estimation and Validation of Land Surface Broadband Albedos and Leaf Area Index From EO-1 ALI Data , Special Issue of IEEE Transactions on Geoscience and Remote Sensing, 41 (6): 1260-1267.
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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.