Title :
Parameterization of hydrological model using NOAA/AVHRR data
Abstract :
The National Oceanic and Atmospheric Administration (NOAA) is currently developing a hydrological forecast system for the Nile river. Soil moisture capacity (SMC) is one of the parameters required to run this system. Lack of ground data permit the authors to simulate this parameter for only a few basins. Therefore, the authors attempted to use vegetation index as a tool for parameterization of the SMC. This paper presents these results
Keywords :
hydrology; soil; AVHRR; Egypt; Ethiopia; NOAA; Nile river; North Africa; Sudan; hydrological forecast system; hydrological model; hydrology; measurement technique; optical imaging; parameterization; satellite remote sensing; soil moisture capacity; vegetation index; visible IR infrared; Artificial satellites; Communications technology; Geographic Information Systems; Laboratories; Remote monitoring; Remote sensing; Snow; Spatial resolution; Temperature sensors; Testing;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International
Conference_Location :
Firenze
Print_ISBN :
0-7803-2567-2
DOI :
10.1109/IGARSS.1995.524082
