Estimation of global SCS curve numbers using satellite remote sensing and geospatial data

Autor:	Yang Hong, R. F. Adler
Rok vydání:	2008
Předmět:	Soil map Geospatial analysis Flood myth Lookup table General Earth and Planetary Sciences Environmental science Storm Runoff curve number Soil conservation Surface runoff computer.software_genre computer Remote sensing
Zdroj:	International Journal of Remote Sensing. 29:471-477
ISSN:	1366-5901 0143-1161
DOI:	10.1080/01431160701264292
Popis:	The Soil Conservation Service Curve Number (SCS CN) method is an efficient and widely used method for determining the direct runoff (effective rainfall) from a storm event for flood disaster assessment (rainfall-runoff modelling). The CN can be estimated based on the area's hydrologic soil group (HSG), land use/cover, and hydrologic condition. The two former factors are of greater importance in determining the CN value. This study reports an attempt to derive a global CN map. First, HSG was classified from digital soil maps. Second, CN was estimated as a function of HSG, land-cover classification, and hydrologic conditions according to USDA (1986) and NEH-4 (1997) standard lookup tables. Potential applications of this CN map may include real-time global flood assessment by incorporating an operational multisatellite precipitation estimation system (e.g. http://trmm.gsfc.nasa.gov).
Databáze:	OpenAIRE
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