Browse > Article
http://dx.doi.org/10.3741/JKWRA.2003.36.4.633

A Study of Runoff Curve Number Estimation Using Land Cover Classified by Artificial Neural Networks  

Kim, Hong-Tae (부산대학교 토목공학과)
Shin, Hyun-Suk (부산대학교 토목공학과)
Publication Information
Journal of Korea Water Resources Association / v.36, no.4, 2003 , pp. 633-645 More about this Journal
Abstract
The techniques of GIS and remote sensing are being applied to hydrology, geomorphology and various field of studies are performed by many researcher, related those techniques. In this paper, curve number change detection is tested according to soil map and land cover in mountain area. Neural networks method is applied for land cover classification and GIS for curve number calculation. The first, sample area are selected and tested land cover classification, NN(84.1％) is superior to MLC(80.9％). So we selected NN with land cover classifier. The second, curve number from the land cover by neural network classifier(57) is compared with that(curve number) from the land cover by manual work(55). Two values are so similar. The third, curve number classified by NN in sample area was applied and tested to whole study area. As results of this study, it is shown that curve number is more exact and efficient by using NN and GIS technique than by (using) manual work.
Keywords
CN; Remote sensing; Neural network; Land cover; Soil map; Curve number;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Simon Haykin (1994). Neural Networks; A Comprehensive Foundation, Macmillan College Publishing Company, pp.236-284
2 오창석(1996). 뉴로컴퓨터, 지성출판사, pp.67-92
3 박희성 (1998). 위성영상을 이용한 토지피복 분류 및 유출곡선번호의 추정. 석사학위논문, 서울대학교, pp.30-40
4 임상준, 박승우(1997). '논의 유출곡선번호 추정.'   과학기술학회마을
5 양인태 (1998). '랜드샛 자료로부터 유역의 유출계수 자동추출 기법 개발에 관한 연구.' 대한토목학회지, 제 18권, 제 III-4호, pp.485-494   과학기술학회마을
6 Christopher M. Bishop (1995). Neural Networks for Pattern Recognition. Clarendon Press, pp.116-193
7 윤용남 (2002). 공업수문학, 청문각, pp.145-149
8 조홍제, 김광섭, 이충희 (2001). 'Landsat 영상을 이용한 CN값 산정에 관한 연구.' 한국수자원학회지   과학기술학회마을
9 John R. Jensen (1996). Introductory Digital Image Processing; A Remote Sensing Perspective, 2nd edition. Prentice Hall, pp.197-231
10 Lillesand, Kiefer (1994). Remote Sensing and Image Interpretation 3rd Edition. John Wiley & Sons Inc., pp. 585-647
11 Robert M. Rangan and Thomas J. Jackson (1980). 'Runoff Synthesis Using Landsat SCS Model.' Journal of the Htdraulics Division, May, 1980. pp.667-678