Journal of Environmental Hydrology

ISSN 1058-3912

Electronic journal of the International Association for Environmental Hydrology 

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JEH Volume 10 (2002), Paper 6, September 2002                   Posted September 21, 2002 

Samar J. Bhuyan
Arizona Dept. of Environmental Quality, Phoenix, Arizona, USA
Kyle R. Mankin
J. M. Shawn Hutchinson
Douglas G. Goodin
James K. Koelliker
Kansas State University, Manhattan, Kansas, USA

Determining land-cover characteristics of large watersheds for use in hydrologic models has been enhanced by application of remotely sensed data and the technologies used to interpret them. The objective of this paper was to describe and evaluate a process for obtaining land-use information for a large watershed using multi-temporal Landsat-5 Thematic Mapper (TM) images. The Kanopolis Lake watershed, which covers 6316 km 2 in central Kansas, USA, was evaluated. Land-cover data for 1992 was derived for use in the Agricultural NonPoint Source Pollution (AGNPS) hydrologic model. Due to shape, large size, and geographical location of this watershed, two early-summer Landsat TM images were required to cover the entire watershed. Both scenes were classified separately and then combined together to estimate land-cover information. ISODATA (Iterative Self-Organizing Data Analysis Technique) algorithm of unsupervised classification followed by supervised classification was performed. Initially, a Level-1 classification scheme was used, which differentiated cover classes among water, agricultural, rangeland, forest, residential, and barren areas. The agricultural areas were reclassified into winter wheat and summer crop and rangeland classified into low, medium, and high cover. Good agreement was found with other published land-cover spatial data, with consistent results across both Landsat scenes. Reliability, use of readily available data, and reasonable ease of use make these methods appropriate for hydrologic modeling of small to large watersheds.
Reference: Bhuyan S. J., K. R. Mankin, J. M. S. Hutchinson, D. G. Goodin, J. K. Koelliker; Deriving Land Cover of a Large Agricultural Watershed from Multi-temporal Landsat Scenes, Journal of Environmental Hydrology, Vol. 10, Paper 6, September 2002.

Prof. Kyle R. Mankin, Ph.D.
Biological and Agricultural Engineering
Kansas State University
147 Seaton Hall
Manhattan, KS 66506


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