Using Landsat data to determine land use changes in Datong basin,China |
| |
| Authors: | Ziyong Sun Rui Ma Yanxin Wang |
| |
| Institution: | (1) School of Environmental Studies and MOE Key Laboratory of Biogeology and Environmental Geology, China University of Geosciences, 430074 Wuhan, People’s Republic of China;(2) Department of Geological Sciences, The University of Alabama, Tuscaloosa, AL 35487, USA |
| |
| Abstract: | The aim of this study was to determine land use changes in Datong basin using multitemporal Landsat data for the period of
1977–2006. Four dates of Landsat images from 1977, 1990, 2000, and 2006 were selected to classify the study area. Based on
the supervised classification method of maximum likelihood algorithm, images were classified into six classes: water, urban,
forest, agriculture, wetland, and barren land. A multidate postclassification comparison change detection algorithm was used
to determine changes in land use in four intervals. It is found that (1) urban land area increased 213% due to urbanization
that resulted from rapid increase of urban population and high-speed economic development, (2) agriculture area increased
34.0% due to land reclamation that resulted from rapid increase of rural population and improvement of irrigation capacity,
(3) forest area decreased 20.9% due to deforestation for urban area and agricultural use, (4) barren land area decreased 78.2%
due to cultivation for agricultural use, and (5) water and wetland decreased 39.1 and 67.1%, respectively, due to exploitation
of surface water and decrease of recharge from groundwater to surface water that resulted from over exploitation of groundwater. |
| |
| Keywords: | Land use Remote sensing Image classification Change detection China |
| 本文献已被 SpringerLink 等数据库收录！ |
|
