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

Volume

6

fYear

2004

fDate

20-24 Sept. 2004

Firstpage

4277

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International

Conference_Location

Anchorage, AK

Print_ISBN

0-7803-8742-2

Type

conf

DOI

10.1109/IGARSS.2004.1370081

Filename

1370081