Academic Journal of Environment & Earth Science, 2023, 5(2); doi: 10.25236/AJEE.2023.050210.
Lijun Tian1, Chenxuan Zhao2
1Department of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China
2Department of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China
For urban planning and sustainable development, monitoring land use change is essential. Based on the Sentinel-2 series data from the ESA, this study inverted the vegetation coverage of the study region using the binary pixel model. It classified the ground objects in Haidian District from 2018 to 2021 with the maximum likelihood method. This work has dynamically tracked the fluctuating ground features and vegetation in the Haidian District. The monitoring results show that the overall area of water has not changed much in the past four years. Since 2019, the scope of building land has shown a slowly decreasing trend. The extent of woodland and the bare ground has reduced yearly, and the rate of decrease was similar. The urban center of gravity mainly shifted from southeast to northwest during 2018-2019. From 2019 to 2021, the center of gravity moved slightly to the east. Vegetation coverage gradually increased from the city's edge to the city center. This study can provide a reference for the construction planning and ecological protection of Beijing's central cities.
Land Use Change, Supervised Classifications, Maximum Likelihood Method
Lijun Tian, Chenxuan Zhao. Land Use Change Monitoring in Haidian District Based on Remote Sensing Data. Academic Journal of Environment & Earth Science (2023) Vol. 5 Issue 2: 61-68. https://doi.org/10.25236/AJEE.2023.050210.
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