Using the Chinese GF-1 satellite images and taking Nanjing City as an example, we used the object-oriented technology to thematically extract the tourism land use information, and developed the method and process of extracting tourism land use information based on remote sensing method. The results are shown as follows. The average NDVI variance among the 4 layers of GF-1 summer images (VI-Summer) is an effective indicator to identify tourism land. In this study, the mapping accuracy and user accuracy of tourism land extraction are 83.33% and 73.53% respectively, and the research results meet the needs of practice. This shows that GF-1 satellite image and object-oriented technology can be effectively used to identify and monitor tourism lands. The area of tourism land use in Nanjing is 137.34 km2. Tourism land mainly concentrates on the south of Yangtze River region including Yuhuatai, Jianye, Xuanwu, Qinhuaihe districts, and their surroundings, while the north of Yangtze River is relatively sparse. The results provides technical support for the rapid and effective supervision of tourism land use using GF-1 satellite images.
LUO Kaisheng
. Remote sensing identification of tourism land use based on object-oriented technology[J]. Journal of University of Chinese Academy of Sciences, 2020
, 37(4)
: 490
-497
.
DOI: 10.7523/j.issn.2095-6134.2020.04.008
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