Title :
Development and testing of a remote sensing based hydrologic model
Author :
Lin, Dah-Syang ; Wood, Eric F. ; Yang, Bangjie
Author_Institution :
Dept. of Civil Eng. & Oper. Res., Princeton Univ., NJ, USA
Abstract :
Remotely sensed soil moisture distribution was employed to derive initial conditions to a physically-based hydrologic model. A comparison of simulated time series of watershed average soil moisture and observations indicated that for dry soil moisture conditions the remotely sensed data can be used as a model updating tool
Keywords :
hydrology; soil; hydrologic model; hydrology model; initial conditions; physically-based; remote sensing data; soil moisture distribution; spatial distribution; watershed average; Biological system modeling; Civil engineering; Geographic Information Systems; Hydrologic measurements; Remote monitoring; Remote sensing; Soil measurements; Soil moisture; Surface soil; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location :
Pasadena, CA
Print_ISBN :
0-7803-1497-2
DOI :
10.1109/IGARSS.1994.399506
