Remote sensing analysis of land use/cover change

Quanke Ning, Shicheng Xie, Chen Zhong, Dan Yu, Xiaoman Tai

Article ID: 1414
Vol 5, Issue 1, 2022

VIEWS - 362 (Abstract) 280 (PDF)

Abstract


Based on Landsat–7ETM + images of 2007 and 2012 and Landsat–8 images of 2018, this study took Fuyang City, Anhui Province (Yingzhou District, Yingdong District, Yingquan District) as the research object, and made a quantitative analysis of land use/cover change in Fuyang City from 2007 to 2018 with the Environment for Visualizing Images (ENVI) software. According to the data of land use types in three phases, the article analyzes the development trend of various land use types and the main reasons for the changes of land use, which provides a certain basis for the urban planning and environmental construction of Fuyang City. The results show that with the rapid economic development and continuous improvement of the urbanization level in Fuyang City during 11 years, the area of various land types in the study area has changed greatly. The area of construction land area changed by 448.27 km2, with an increase of 543.57%; the area of arable land changed by 597.52 km2, with a decrease of 34.74%; the area of bare land changed by 26.00 km2, with a decrease of 80.68%. The changes were closely related to the rapid economic and social development in the study area. Under the influence of environmental protection policies and environmental awareness, the area of forest land changed by 85.00 km2, with an increase of 97.58%; the water area changed by 84.35 km2, with an increase of 201.39%.


Keywords


Land Use; Cover Change; Remote Sensing; Environment for Visualizing Images (ENVI)

Full Text:

PDF


References


1. Meng J, Wu X, Li Z. Land use and land cover changes in Heihe River basin during the period of 1988–2000. Acta Scicentiarum Naturalum Universitis Pekinesis 2004; (6): 922–929.

2. Yan Y, Dong X, Li Y. The comparative study of remote sensing image supervised classification methods based on ENVI. Beijing Surveying and Mapping 2011; (3): 14–16.

3. Fang G, Zhang S, Chen J. Remote sensing analysis of Huaibei city land use/cover change. Jiangsu Journal of Agricultural Sciences 2009; 25(4): 781–786.

4. Wu M, Zang C, Fu J. Spatial and temporal variability characteristics and driving mechanism of land-use in Songliao river basin from 1990 to 2015. Chinese Agricultural Science Bulletin 2020; (31): 77–85.

5. Wu B, Sun H, Shi J. Dynamic change and prediction of vegetation cover in Shenzhen, China from 2000 to 2018. Chinese Journal of Applied Ecology 2020; (11): 3777–3785.

6. Li Z, Kuang W, Zhang S. Remote sensing monitoring and spatiotemporal pattern of land use/cover change in built-up area of Tianjin in the past 70 years. Remote Sensing Technology and Application 2020; (3): 527–536.

7. Li X, Kuang W. Urban land use/cover change and its impact on urban flood regulation ecosystem service in Beijing. Acta Ecologica Sinica 2020; (16): 5525–5533.

8. Hu Z, Du P, Zhao X. Land use changes in Xuzhou coal mining area. Acta Geographica Sinica 2007; (11): 1204–1214.

9. Yang J, Wang X, Yang Z, et al. Analysis of land use change in Fuyang City based on RS and GIS. Geospatial Information 2010; (4): 90–92, 96.

10. Qin F, Zhang Y, Yan J, et al. Analysis on the spatial and temporal characteristics and driving forces of land use/cover change in Chenggong District. China Resources Comprehensive Utilization 2020; (9): 35–40.

11. Zhang Y, Wu D, Lyu X. A review on the impact of land use/land cover change on ecosystem services from a spatial scale perspective. Journal of Natural Resources 2020; (5): 1172–1189.

12. Li X. Research on multi-temporal remote sensing image processing and rule extraction method and its application (in Chinese) [Master’s thesis]. Xuzhou: China University of Mining and Technology; 2007.




DOI: https://doi.org/10.24294/jgc.v5i1.1414

Refbacks

  • There are currently no refbacks.


Copyright (c) 2022 Quanke An, Shicheng Xie, Chen Zhong, Dan Yu, Xiaoman Tai

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This site is licensed under a Creative Commons Attribution 4.0 International License.