干旱区生态环境知识资源中心(Arid): Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China

Arid

DOI	10.3390/s20102757
	Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China
	Li, Kongming; Feng, Mingming; Biswas, Asim; Su, Haohai; Niu, Yalin; Cao, Jianjun
通讯作者	Cao, JJ
来源期刊	SENSORS
EISSN	1424-8220
出版年	2020
卷号	20 期号:10
英文摘要	Land use and cover change (LUCC) is an important issue affecting the global environment, climate change, and sustainable development. Detecting and predicting LUCC, a dynamic process, and its driving factors will help in formulating effective land use and planning policy suitable for local conditions, thus supporting local socioeconomic development and global environmental protection. In this study, taking Gansu Province as a case study example, we explored the LUCC pattern and its driving mechanism from 1980 to 2018, and predicted land use and cover in 2030 using the integrated LCM (Logistic-Cellular Automata-Markov chain) model and data from satellite remote sensing. The results suggest that the LUCC pattern was more reasonable in the second stage (2005 to 2018) compared with that in the first stage (1980 to 2005). This was because a large area of green lands was protected by ecological engineering in the second stage. From 1980 to 2018, in general, natural factors were the main force influencing changes in land use and cover in Gansu, while the effects of socioeconomic factors were not significant because of the slow development of economy. Landscape indices analysis indicated that predicted land use and cover in 2030 under the ecological protection scenario would be more favorable than under the historical trend scenario. Besides, results from the present study suggested that LUCC in arid and semiarid area could be well detected by the LCM model. This study would hopefully provide theoretical instructions for future land use planning and management, as well as a new methodology reference for LUCC analysis in arid and semiarid regions.
英文关键词	remote sensing LUCC driving factors land use prediction logistic regression CA-Markov model
类型	Article
语种	英语
开放获取类型	Green Published, gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000539323700011
WOS关键词	CELLULAR-AUTOMATA ; CARBON STORAGE ; CLIMATE-CHANGE ; MARKOV-CHAIN ; URBAN ; SIMULATION ; INTEGRATION ; REGRESSION ; VEGETATION ; PATTERNS
WOS类目	Chemistry, Analytical ; Engineering, Electrical & Electronic ; Instruments & Instrumentation
WOS研究方向	Chemistry ; Engineering ; Instruments & Instrumentation
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/324712
作者单位	[Li, Kongming; Feng, Mingming; Su, Haohai; Niu, Yalin; Cao, Jianjun] Northwest Normal Univ, Coll Geog & Environm Sci, Lanzhou 730070, Peoples R China; [Biswas, Asim] Univ Guelph, Sch Environm Sci, 50 Stone Rd East, Guelph, ON N1G 2W1, Canada
推荐引用方式 GB/T 7714	Li, Kongming,Feng, Mingming,Biswas, Asim,et al. Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China[J],2020,20(10).
APA	Li, Kongming,Feng, Mingming,Biswas, Asim,Su, Haohai,Niu, Yalin,&Cao, Jianjun.(2020).Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China.SENSORS,20(10).
MLA	Li, Kongming,et al."Driving Factors and Future Prediction of Land Use and Cover Change Based on Satellite Remote Sensing Data by the LCM Model: A Case Study from Gansu Province, China".SENSORS 20.10(2020).