Title :
Remotely sensed vegetation cover in the Land Data Assimilation Systems project
Author :
Cosgrove, Brian A. ; Houser, Paul R.
Author_Institution :
SAIC Gen. Sci. Corp., Greenbelt, MD, USA
Abstract :
Over the past decade, remotely sensed vegetation datasets have become increasing detailed and accurate. We examine the impact of such data sets on LDAS land surface modeling through several experiments utilizing the Mosaic LSM. Simulations were conducted using 1 degree ISLSCP data and 1 kilometer EROS data over Oklahoma, and results were compared to soil moisture and soil temperature information available from the Oklahoma Mesonet network of instruments
Keywords :
geophysical signal processing; geophysical techniques; hydrological techniques; vegetation mapping; ISLSCP; LDAS; Land Data Assimilation Systems; Mosaic LSM; Oklahoma; USA; United States; geophysical measurement technique; hydrology; land surface modeling; remote sensing; soil moisture; soil temperature; vegetation cover; vegetation mapping; Agriculture; Data assimilation; Land surface; Land surface temperature; Linear discriminant analysis; NASA; Predictive models; Soil moisture; Tiles; Vegetation mapping;
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.2001.977909
