Analysis of land use change in Xiong'an New Area from 2016 to 2019 based on the Sentinel-2 images

doi:10.13474/j.cnki.11-2246.2021.363

Abstract

Abstract: The Xiong'an New Area is another strategically important new area established at the national level. It is of great significance to grasp the details of land use in this area. In this study, the 10 m Sentinel-2 images were used to classify the land use from 2016 to 2019, and the spatio-temporal land use changes were then analyzed. This study first tested three popular classifiers including decision tree, random forest, and support vector machine to obtain the highest-accuracy land use map. Meanwhile, the importance of different features was analyzed. The results showed that in Xiong'an New Area, the land use types and areas have undergone significant changes. Among them, the area of arable land, woodland, and aquatic plants all showed a significant reduction trend, and the area of construction land has increased a lot, indicating that the Xiong'an New Area was undergoing rapid urbanization. The 10 m land use maps obtained in this study have important reference significance for the timely monitoring and planning of Xiong'an New Area.

Key words: land change, remote sensing, Sentinel-2 images, Xiong'an New Area

CLC Number:

P237

YU Miao, MA Hongbing, WANG Hongwei. Analysis of land use change in Xiong'an New Area from 2016 to 2019 based on the Sentinel-2 images[J]. Bulletin of Surveying and Mapping, 2021, 0(12): 6-9,32.

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