Title :
Deriving land surface biophysical parameters from satellite data for soil carbon sequestration
Author :
Fang, Hongliang ; Liang, Shunlin ; McClaran, Mitchel P. ; Van Leeuwen, Willem J D ; Drake, Sam ; Marsh, Stuart E. ; Thomson, Allison ; Izaurralde, Roberto C. ; Rosenberg, Norman J.
Author_Institution :
Dept. of Geogr., Maryland Univ., College Park, MD
Abstract :
We apply a hybrid inversion algorithm to estimate land surface biophysical variables (e.g., leaf area index) from the CHRIS (Compact High Resolution Imaging Spectrometer), and ETM+. Field campaigns were conducted over Tucson, Arizona to validate the algorithms and the products. The derived products were compared for different human management activities. These products are then available for input to a plant growth model for calculating the potential for carbon sequestration
Keywords :
inverse problems; land use planning; soil; vegetation mapping; Arizona; CHRIS; Compact High Resolution Imaging Spectrometer; ETM+; Tucson; United States; human management; hybrid inversion algorithm; land surface biophysical parameters; leaf area index; plant growth model; satellite data; semiarid rangeland; soil carbon sequestration; vegetation index; Educational institutions; High-resolution imaging; Humans; Image resolution; Land surface; Satellites; Soil; Spatial resolution; Spectroscopy; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
DOI :
10.1109/IGARSS.2004.1370081
