吉林西部多时相遥感数据分类方案的构建及应用

doi:10.13278/j.cnki.jjuese.201703304

Abstract

Abstract: With the rapid development of 3S (remote sensing (RS), geographical information system (GIS), global positioning system (GPS)) technology, the satellite image data used for monitoring the surface vegetation cover is vast. Western Jilin region was selected as the experimental zone. Using various functions, the land cover classification scheme was proposed to quickly and accurately extract the land cover information in the test area based on multi-temporal satellite images, coupled with the main classified variables including the seasonal variation information of vegetation, the water information and the land use information. Furthermore, the extracted data were statistically analyzed to verify the feasibility and rationality of the method. Finally, the results are as follows: 1) The way combined these classification features for extracting land cover type effectively improved the overall classification accuracy. Especially, the introduction of the changed information, including the seasonal variation of vegetation cover and the land-use and land-cover information, could significantly improve the classification accuracy of land cover; 2) The overall classification accuracy of the algorithm was 95.5%, the Kappa coefficient of classification was 95.04%.

Key words: western of Jilin, multi-temporal satellite images, land cover types, phenological information

CLC Number:

P407.8

Li Xiaodong, Jiang Qigang. Land Cover Classification Method Based on Multi-Temporal Satellite Images: Taking Western Jilin Region as an Example[J].Journal of Jilin University(Earth Science Edition), 2017, 47(3): 907-915.

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Land Cover Classification Method Based on Multi-Temporal Satellite Images: Taking Western Jilin Region as an Example

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