Open AccessAnalysis of Land Cover Change in Shenyang Based on Remote Sensing Image Supervised Classification Technology
Author(s) -
Daquan Yang,
Zhiwei Xie,
Xishihui Du
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1631/1/012140
Subject(s) - land cover , remote sensing , change detection , land use , built up area , cover (algebra) , geography , environmental science , physical geography , civil engineering , engineering , mechanical engineering
Based on four satellite remote sensing images in different periods, this paper studies the change of land cover in Shenyang urban area. For the classification of land cover, the maximum likelihood method is adopted in the experiment. The land cover change is analyzed on the classification data. The analysis showed that these changes were significant. During the period of 2000-2010, the area of construction land increased greatly, the total area of cultivated land changed little, and the area of forest land and other land decreased. With the development of the city, the proportion of all kinds of land has changed. The research results can provide some meaningful scientific help for urban planning and land use in Shenyang.