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

被引：57
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
收藏
页码：471 / 477
页数：7
相关论文
共 12 条
  • [1] HYDROLOGICAL EFFECTS OF LAND-USE CHANGE IN A ZERO-ORDER CATCHMENT
    Burges, Stephen J.
    Wigmosta, Mark S.
    Meena, Jack M.
    [J]. JOURNAL OF HYDROLOGIC ENGINEERING, 1998, 3 (02) : 86 - 97
  • [2] Chow T.V., 1988, APPL HYDROLOGY
  • [3] Engel B.A., 1997, GIS BASED CN RUNOFF
  • [4] Global land cover mapping from MODIS: algorithms and early results
    Friedl, MA
    McIver, DK
    Hodges, JCF
    Zhang, XY
    Muchoney, D
    Strahler, AH
    Woodcock, CE
    Gopal, S
    Schneider, A
    Cooper, A
    Baccini, A
    Gao, F
    Schaaf, C
    [J]. REMOTE SENSING OF ENVIRONMENT, 2002, 83 (1-2) : 287 - 302
  • [5] The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales
    Huffman, George J.
    Adler, Robert F.
    Bolvin, David T.
    Gu, Guojun
    Nelkin, Eric J.
    Bowman, Kenneth P.
    Hong, Yang
    Stocker, Erich F.
    Wolff, David B.
    [J]. JOURNAL OF HYDROMETEOROLOGY, 2007, 8 (01) : 38 - 55
  • [6] Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz
    Njoku, EG
    Li, L
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 1999, 37 (01): : 79 - 93
  • [7] Soil moisture retrieval from AMSR-E
    Njoku, EG
    Jackson, TJ
    Lakshmi, V
    Chan, TK
    Nghiem, SV
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2003, 41 (02): : 215 - 229
  • [8] SLACK RB, 1980, J HYDRAULICS DIVISIO, V106, P667
  • [9] SRINIVASAN R, 1994, WATER RESOUR BULL, V30, P453
  • [10] Tiwari K. N., 1991, J WATER RESOURCES PL, V7, P178
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