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Quantitative law and scenario-based forecasting of different land use expansion, based on reliability analysis in mountainous areas

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成果类型:
期刊论文
作者:
Zou, Fang;Hu, Yingling;Long, Meiqin;Lai, Junxiang
通讯作者:
Zou, F
作者机构:
[Long, Meiqin; Zou, Fang; Lai, Junxiang] Changsha Univ Sci & Technol, Sch Architecture, 45 Chiling Rd, Changsha 410076, Peoples R China.
[Hu, Yingling] Hunan Univ, Sch Architecture & Planning, Changsha 410082, Peoples R China.
通讯机构:
[Zou, F ] C
Changsha Univ Sci & Technol, Sch Architecture, 45 Chiling Rd, Changsha 410076, Peoples R China.
语种:
英文
关键词:
Land use expansion and forecasting;Reliability analysis;Land expansion law;Scenario analysis
期刊:
Environmental Science and Pollution Research
ISSN:
0944-1344
年:
2023
卷:
30
期:
40
页码:
92801-92816
基金类别:
We would like to express our respects and gratitude to the anonymous reviewers and editors for their professional comments and suggestions. The work was supported by the Hunan Social Science Research Project (grant number 22YBA093), the Research project of Hunan Natural Resources Department (grant number 20230116DZ),and the Hunan Provincial Natural Science Foundation Program of China (grant number 2021JJ30706).
机构署名:
本校为第一且通讯机构
院系归属:
建筑学院
摘要:
The continuous high-intensity and disorderly expansion of construction land in mountainous areas threatens city development; consequently, the scientific guidance of its sustainable development has become a research hotspot. This work aimed to develop a new theoretical framework for predicting land expansion. Based on DMSP/OLS-Landsat 7 data correction from 2000 to 2019, to ensure data reliability, this study quantitatively analysed the expansion law of land-use and land-cover (LULC) in Huayuan, a typical mountainous area in China. Based on the...

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