Prediction of the spatiotemporal evolution of vegetation cover in the Huainan mining area and quantitative analysis of driving factors-Reference-Cited by-同舟云学术

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Prediction of the spatiotemporal evolution of vegetation cover in the Huainan mining area and quantitative analysis of driving factors

Published:2023-05-31 Issue:6 Volume:195 Page:
ISSN:0167-6369
Container-title:Environmental Monitoring and Assessment
language:en
Short-container-title:Environ Monit Assess

Author:

Zhang Xuyang,Zhou Yuzhi,Long Linli,Hu Pian,Huang Meiqin,Chen Yongchun,Chen Xiaoyang

Funder

Postgraduate Research Projects of Higher Education Institutions in Anhui Province

National Natural Science Foundation of China

Huainan closed mine geological ecological environment assessment and comprehensive treatment technology research

Publisher

Springer Science and Business Media LLC

Subject

Management, Monitoring, Policy and Law,Pollution,General Environmental Science,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s10661-023-11385-5.pdf

Reference50 articles.

1. Ababneh, A., Al-Saad, S., Al-Shorman, A., & AL Kharouf, R. (2019). Land use change at the historical tourist attractions of Umm Qais, Jordan: GIS and Markov chain analyses. International Journal of Historical Archaeology, 23(1), 235–259. https://doi.org/10.1007/s10761-018-0464-3

2. Andersson, E., Langemeyer, J., Borgström, S., Mcphearson, T., Haase, D., Kronenberg, J., Barton, D., Davis, M., Naumann, S., Röschel, L., & Baro, F. (2019). Enabling green and blue infrastructure to improve contributions to human well-being and equity in urban systems. BioScience, 69(7), 566–574. https://doi.org/10.1093/biosci/biz058

3. Cao, Y., Kong, L., Zhang, L., & Ouyang, Z. (2021). The balance between economic development and ecosystem service value in the process of land urbanization: A case study of China’s land urbanization from 2000 to 2015. Land Use Policy, 108, 105536. https://doi.org/10.1016/j.landusepol.2021.105536

4. Carlson, T. N., & Ripley, D. A. (1997). On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote Sensing of Environment, 62(3), 241–252. https://doi.org/10.1016/S0034-4257(97)00104-1

5. Chu, H., Venevsky, S., Wu, C., & Wang, M. (2019). NDVI-based vegetation dynamics and its response to climate changes at Amur-Heilongjiang River Basin from 1982 to 2015. Science of the Total Environment, 650, 2051–2062. https://doi.org/10.1016/j.scitotenv.2018.09.115

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1. Spatiotemporal Patterns of Vegetation Evolution in a Deep Coal Mining Subsidence Area: A Remote Sensing Study of Liangbei, China;Remote Sensing;2024-08-29

2. Spatiotemporal characteristics and Monte Carlo simulation-based human health risk of heavy metals in soils from a typical coal-mining city in eastern China;Frontiers of Environmental Science & Engineering;2024-08-25

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