DocumentCode
2138788
Title
Land surface geo/biophysical variable estimation from EO-1 data and validation
Author
Liang, Shunlin ; Fang, Hongliang ; Kaul, Monisha ; Van Niel, Tom ; Mcvicar, Tim ; Campbell, Susan ; Walthall, Charles ; Daughtry, Craig ; Pearlman, Jay
Author_Institution
Dept. of Geogr., Maryland Univ., College Park, MD, USA
Volume
6
fYear
2001
fDate
2001
Firstpage
2908
Abstract
We present several algorithms in this paper for estimating a series of land surface geophysical and biophysical variables from two EO-1 (Earth Observing-1) sensors: ALI (Advanced Land Imager) and Hyperion. These variables include spectral reflectance from the atmospheric correction algorithms, broadband albedos converted from narrowband albedos, and leaf area index. The field campaign at Coleambally, Australia as part of the validation activities will also be described. ALI corresponds to the Landsat7/ETM+ sensor, its advantages for estimating these land surface variables over ETM+ will be demonstrated
Keywords
geophysical signal processing; geophysical techniques; image processing; multidimensional signal processing; terrain mapping; vegetation mapping; ALI; Advanced Land Imager; Australia; Coleambally; EO-1; Hyperion; IR; algorithm; atmospheric correction; broadband albedo; geophysical measurement technique; hyperspectral remote sensing; image processing; infrared; land surface; leaf area index; multispectral remote sensing; narrowband albedo; spectral reflectance; terrain mapping; validation; vegetation mapping; visible; Australia; Biosensors; Earth; Image converters; Image sensors; Land surface; Narrowband; Reflectivity; Remote sensing; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location
Sydney, NSW
Print_ISBN
0-7803-7031-7
Type
conf
DOI
10.1109/IGARSS.2001.978202
Filename
978202
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