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
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;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2001. IGARSS '01. IEEE 2001 International
Conference_Location :
Sydney, NSW
Print_ISBN :
0-7803-7031-7
DOI :
10.1109/IGARSS.2001.978202
