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International Journal of New Developments in Engineering and Society, 2023, 7(2); doi: 10.25236/IJNDES.2023.070207.

Monitoring of Land Use Change in Shijiazhuang City Based on Remote Sensing Data

Author(s)

Chenxuan Zhao1, Lijun Tian2

Corresponding Author:
Chenxuan Zhao
Affiliation(s)

1Department of Civil Engineering, Shijiazhuang Tiedao University, Shijiazhuang, 050043, China

2Department of Mining Engineering, North China University of Science and Technology, Tangshan, 063210, China

Abstract

With the rapid development of cities, urban land use monitoring has become the focus of increasing attention. In order to monitor the change of land use in Shijiazhuang City, the Sentinel-2 remote sensing data images from 2019 to 2022 were selected, processed by supervised classification and analyzed for dynamic changes. The result shows: the area of building land has shown an increasing trend, and the proportion of cultivated land occupied by urban expansion is the highest, and the change is most obvious in the city center; forest area increased; rivers show a tendency to expand, and the rivers represented by the Hutuo River have the most obvious changes. During the four-year period, the center of gravity of the city has changed, and the center of gravity of the city will move to the southwest in 2019-2020; the center of gravity of the city moves to the north from 2019 to 2022. Relevant land use changes can provide important references for urban development planning.

Keywords

remote sensing; monitor; land use; supervised classification

Cite This Paper

Chenxuan Zhao, Lijun Tian. Monitoring of Land Use Change in Shijiazhuang City Based on Remote Sensing Data. International Journal of New Developments in Engineering and Society (2023) Vol.7, Issue 2: 35-41. https://doi.org/10.25236/IJNDES.2023.070207.

References

[1] Lin Y, Liu B, Lu Y, et al. Correlating analysis on spatio-temporal variation of LUCC and water resources based on remote sensing data[C]// Remote Sensing of the Environment: 18th National Symposium on Remote Sensing of China. International Society for Optics and Photonics, 2014.

[2] Song Y Q, Pan Z K, Liu Y L, et al. Monitoring of Inefficient Land Use with High Resolution Remote Sensing Image in a Chinese Mega-City[C]// IEEE International Conference on Computational Science & Engineering. IEEE, 2017.

[3] Gao X, Wang J, Li C, et al. Land use change simulation and spatial analysis of ecosystem service value in Shijiazhuang under multi-scenarios[J]. Environmental Science and Pollution Research, 2021(1):1-16.

[4] Saleem M S, Ahmad S R, Shafiq-Ur-Rehman, et al. Impact assessment of urban development patterns on land surface temperature by using remote sensing techniques: a case study of Lahore, Faisalabad and Multan district[J]. Environmental Science and Pollution Research, 2020, 27(32):1-14.

[5] Kai L, Hongbo S, Lifu Z, et al. Analysis of the Urban Heat Island Effect in Shijiazhuang, China Using Satellite and Airborne Data[J]. Remote Sensing, 2015, 7(4):4804-4833.

[6] Hua, DING, Ru, et al. Research on Land Use Changes in Panjin City Basing on Remote Sensing Data[C]// 2018.

[7] An H. Research on Remote Sensing Monitoring of City Land Use Change of Qixingguan District Based on GIS[J]. Heilongjiang Environmental Journal, 2016.

[8] Lou S, Liu Y, Ren C, et al. Study on the first pollution process in autumn-winter of 2017 in Shijiazhuang City based on satellite remote sensing and SPAMS[J]. Hebei Journal of Industrial Science and Technology, 2018.

[9] Zhao Q, Zhao X, Liu Z. Change of Land Use and Its Response of Ecological Service Function in Shijiazhuang City[J]. Bulletin of Soil and Water Conservation, 2015.

[10] Du Y K, Yan Q, Luo C F. Monitoring and predicting the changes of vegetation coverage in Shijiazhuang from 1995 to 2015[C]// IGARSS 2016 - 2016 IEEE International Geoscience and Remote Sensing Symposium. IEEE, 2016.

[11] Jia B Q, Qiu E F. Vegetation changes and its driving factors in Shijiazhuang City from 2004 to 2010 based on Landsat TM imagine[J]. Arid Land Geography, 2014.