Monthly runoff generation by non-linear model using multispectral and multitemporal satellite imagery

Details Monthly runoff generation by non-linear model using multispectral and multitemporal satellite imagery Monthly runoff generation by non-linear model using multispectral and multitemporal satellite imagery

May 1993

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=1993adspr..13..181p&link_type=abstract

Advances in Space Research, Volume 13, Issue 5, p. 181-186.

Physics

1

Scientific paper

A monthly cloud cover index (CCI) is determined as a function of the threshold cloud top temperature (IR channel), the ``reflectivity'' of the cloud (VIS channel) and the state of the environmental mean relative humidity in the upper troposphere (WV channel) using multispectral and multitemporal satellite imagery and is transformed into monthly area precipitation. Consequently the rainfall based on satellite information is transformed into monthly runoff values with the aid of the non-linear Volterra series model. The approach is tested in West Africa, in the Tano river basin in Ghana, which cover an area of about 16.000 sq. km.

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