干旱区生态环境知识资源中心(Arid): Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin

Arid

DOI	10.1117/1.JRS.16.014506
	Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin
	Yang, Zi; Pan, Xin; You, Chaoshuai; Yang, Yingbao; Liu, Suyi; Xie, Wenying
通讯作者	Pan, X
来源期刊	JOURNAL OF APPLIED REMOTE SENSING
EISSN	1931-3195
出版年	2022
卷号	16 期号:1
英文摘要	As one of the driest and lowest regions in Asia, the vegetation variation in the Aydingkol Lake Basin in Xinjiang, China, reveals the status of its ecological recovery. To more accurately retrieve the fractional vegetation index (FVC) to investigate the vegetation variation in this basin, we proposed an innovative method-the random forest (RF) method-based on multiple remote sensing indices. The retrieval shows a satisfactory accuracy with a mean error, mean square error, mean relative error (RE) percentage, and determination coefficient of 0.01,0.04,14.61% and 0.95, respectively. In the Aydingkol Lake Basin, the average annual FVC peaked in 2015 with a value of 0.08. The annual average value of FVC decreases at a rate of 0.06 * 10(-2)/a during these eight years. The reduction of FVC is mainly distributed in the central-western part of the basin. In exploring the influence on FVC, average annual precipitation has the most significant impact on the FVC. Its correlation coefficient with FVC is 0.87. With increasing elevation and slope, most FVC showed a decreasing trend. In recent years, the conversion of cropland to barren land and cropland to grassland had the greatest impact on decreasing of the FVC, and the mean FVC decreases from 0.19 to 0.17 before and after the land-use change. Moreover, human impact had a significant influence on the variation in FVC. Due to the establishment of the Aydingkol Lake Basin Wetland Reserve (the SAIC Volkswagen Test Site), the annual average FVC in the corresponding place increases from 0.06 to 0.13 (decreases from 0.148 to 0.005). This study is helpful to guide ecological protection in similar arid regions. (C) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)
英文关键词	fractional vegetation cover random forest multiple remote sensing index analysis of influencing factors
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000777198700024
WOS关键词	TREE COVER ; DERIVATION ; AVHRR ; MODEL ; PARAMETER ; DYNAMICS ; CLIMATE ; CHINA
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/393286
推荐引用方式 GB/T 7714	Yang, Zi,Pan, Xin,You, Chaoshuai,et al. Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin[J],2022,16(1).
APA	Yang, Zi,Pan, Xin,You, Chaoshuai,Yang, Yingbao,Liu, Suyi,&Xie, Wenying.(2022).Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin.JOURNAL OF APPLIED REMOTE SENSING,16(1).
MLA	Yang, Zi,et al."Spatio-temporal variation of fractional vegetation coverage in the Aydingkol Lake Basin".JOURNAL OF APPLIED REMOTE SENSING 16.1(2022).