干旱区生态环境知识资源中心(Arid): An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis

Arid

DOI	10.3390/ijgi9060364
	An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis
	Zhou, Lei 1,2; Wang, Siyu 1; Du, Mingyi 1; Yang, Jianhua 3; Zhu, Yinuo 1; Wu, Jianjun 3
通讯作者	Zhou, Lei
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2020
卷号	9 期号:6
英文摘要	The combined study of vegetation coverage (VC) and land use change provides important scientific guidance for the restoration and protection of arid regions. Taking Hongjian Nur (HJN) Lake in the desert region as a case study, the VC of this area was calculated using a normalized difference vegetation index (NDVI), which is based on a mixed pixel decomposition method. A grey forecasting model (GM) (1, 1) was used to predict future VC. The driving factors of VC and land use change were analyzed. The results indicate that the average VC of the whole watershed showed a gradual increase from 0.29 to 0.49 during 2000-2017. The prediction results of the GM VC showed that the greening trend is projected to continue until 2027. The area of farmland in the watershed increased significantly and its area was mainly converted from unused land, grassland, and forest. The reason for increased VC may be that the combination of the exploitation of unused land and climate change, which is contrary to the country's sustainable development goals (SDG; goal 15). Therefore, the particularities of the local ecological environment in China's desert area needs to be considered in the development of ecological engineering projects.
英文关键词	Hongjian Nur vegetation coverage land use remote sensing climate change
类型	Article
语种	英语
国家	Peoples R China ; USA
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000552489700001
WOS关键词	VEGETATION COVER ; FRACTIONAL COVER ; SURFACE-WATER ; NANJING CITY ; RIVER BASIN ; LAND-COVER ; BARE SOIL ; LAKE AREA ; DYNAMICS ; MODEL
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
来源机构	北京师范大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/319623
作者单位	1.Beijing Univ Civil Engn & Architecture, Sch Geomat & Urban Spatial Informat, Beijing 102616, Peoples R China; 2.Univ Illinois, Sch Earth Soc & Environm, Urbana, IL 61801 USA; 3.Beijing Normal Univ, Fac Geog Sci, Beijing 100875, Peoples R China
推荐引用方式 GB/T 7714	Zhou, Lei,Wang, Siyu,Du, Mingyi,et al. An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis[J]. 北京师范大学,2020,9(6).
APA	Zhou, Lei,Wang, Siyu,Du, Mingyi,Yang, Jianhua,Zhu, Yinuo,&Wu, Jianjun.(2020).An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,9(6).
MLA	Zhou, Lei,et al."An Integrated Approach for Detection and Prediction of Greening Situation in a Typical Desert Area in China and Its Human and Climatic Factors Analysis".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 9.6(2020).