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United States Department of Agriculture

Agricultural Research Service

Title: Land Surface Geo/biophysical Variable Estimation from Eo-1 Data and Validation

Authors
item Liang, S - UNIVERSITY OF MARYLAND
item Fang, H - UNIVERSITY OF MARYLAND
item Kaul, Monisha
item Van Niel, T - CSIRO, AUSTRALIA
item Mcvicar, T - CSIRO, AUSTRALIA
item Campbell, S - CSIRO, AUSTRALIA
item Jupp, D - CSIRO, AUSTRALIA
item WALTHALL, CHARLES
item DAUGHTRY, CRAIG

Submitted to: IEEE IGARSS Annual Proceedings
Publication Type: Abstract Only
Publication Acceptance Date: October 15, 2001
Publication Date: N/A

Technical Abstract: In this talk, we will present different algorithms for estimating a series of land surface variables and the preliminary results from two EO-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 validation results based on the ground measurements from the field campaigns at both Beltsville, Maryland and Coleambally, Australia will be shown. ALI corresponds to Landsat7/ETM+ sensor, its advantages for estimating these land surface variables over ETM+ will be demonstrated.

Last Modified: 7/28/2014
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