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

被引：58

作者：

Hong, Y. ^{[1
,2
]}

Adler, R. F. ^{[2
]}

机构：

[1] Univ Maryland Baltimore Cty, Goddard Earth Sci Technol Ctr, Baltimore, MD 21228 USA

[2] NASA, Goddard Space Flight Ctr, Atmospheres Lab, Greenbelt, MD 20771 USA

来源：

INTERNATIONAL JOURNAL OF REMOTE SENSING | 2008年 / 29卷 / 02期

基金：

美国国家航空航天局;

关键词：

D O I：

10.1080/01431160701264292

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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).

引用

页码：471 / 477

页数：7

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