气候变化领域集成服务门户(CCPortal): Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China

CCPortal

DOI	10.3390/land11030419
	Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China
	Muhammad, Rizwan; Zhang, Wenyin; Abbas, Zaheer; Guo, Feng; Gwiazdzinski, Luc
发表日期	2022
EISSN	2073-445X
卷号	11 期号:3
英文摘要	Land use and land cover (LULC) change analysis is a systematic technique that aids in the comprehension of physical and non-physical interaction with the natural habitat and the pursuit of environmental sustainability. Research regarding LULC's spatiotemporal changing patterns and the simulation of future scenarios offers a complete view of present and future development possibilities. To simulate the spatiotemporal change transition potential and future LULC simulation, we utilized multi-temporal remotely sensed big data from 1990 to 2020 with a 10-year interval. Independent variables (DEM, slope, and distance from roads) and an integrated CA-ANN methodology within the MOLUSCE plugin of QGIS were utilized. The findings reveal that physical and socioeconomic driving variables have a substantial effect on the patterns of the terrain. In the last three decades, the study area had a significant rise in impervious surface from 10.48% to 26.91%, as well as a minor increase in water from 1.30% to 1.67%. As a result, forest cover decreased from 12.60% to 8.74%, green space decreased from 26.34% to 16.57%, and barren land decreased from 49.28% to 46.11%. Additionally, the predictions (2030-2050) support the increasing trend towards impervious surface at the expense of significant quantities of forest and green space.
英文关键词	LULC change; remote sensing; big data; QGIS; impervious surface; prediction; Linyi
语种	英语
WOS研究方向	Environmental Studies
WOS类目	Social Science Citation Index (SSCI)
WOS记录号	WOS:000775219100001
来源期刊	LAND
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/280660
作者单位	Linyi University; South China Normal University; Communaute Universite Grenoble Alpes; Universite Grenoble Alpes (UGA)
推荐引用方式 GB/T 7714	Muhammad, Rizwan,Zhang, Wenyin,Abbas, Zaheer,et al. Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China[J],2022,11(3).
APA	Muhammad, Rizwan,Zhang, Wenyin,Abbas, Zaheer,Guo, Feng,&Gwiazdzinski, Luc.(2022).Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China.LAND,11(3).
MLA	Muhammad, Rizwan,et al."Spatiotemporal Change Analysis and Prediction of Future Land Use and Land Cover Changes Using QGIS MOLUSCE Plugin and Remote Sensing Big Data: A Case Study of Linyi, China".LAND 11.3(2022).