Technology Application |
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REGIONAL LAND USE/COVER CLASSIFICATION WITH
A STRATIFIED AND REGIONALIZED APPROACH:
A CASE STUDY IN QIANTANG RIVER WATERSHED, ZHEJIANG PROVINCE |
ZHANG Li-su, WU Jia-ping |
Institute of Agricultural Remote Sensing & Information Technology, Zhejiang University, Hangzhou 310029, China |
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Abstract In land use/land cover classification, the utilization of large-scale routine approaches in diverse
areas often fails to obtain satisfactory results. In this paper, the Qiantang river watershed was chosen as the
study area. A stratified and regionalized supervised classification (the Maximum Likelihood Classification)
approach was employed. With this approach, water and mountain areas were first stratified and extracted through a
set of equations that were used to compute parameters from Landsat TM bands. Subsequently, by using the mask
method, the authors obtained plains and foothills, which were subdivided into six sub-regions according to the
geomorphic features and land use/cover characteristics. Additionally, the plains and foothills should be
classified separately in the case the images were acquired in different seasons. The supervised classification
could be carried out after respective signatures in every region were identified. The classification accuracy
reached 90. 7% with a Kappa coefficient of 0.881, which was much higher than that obtained from the routine
classification approach that had a classification accuracy of 51.6% and a Kappa coefficient of 0.411. This study
shows that the stratified and regionalized approach is very efficient in land use/cover classification in a fairly
large region, such as the watershed level in southern China.
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Issue Date: 21 July 2009
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