干旱区生态环境知识资源中心(Arid): Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area

Arid

DOI	10.3390/rs13152851
	Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area
	Yu, Tao; Jiapaer, Guli; Bao, Anming; Zheng, Guoxiong; Jiang, Liangliang; Yuan, Ye; Huang, Xiaoran
通讯作者	Jiapaer, G (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Jiapaer, G (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:15
英文摘要	Land degradation poses a critical threat to the stability and security of ecosystems, especially in salinized areas. Monitoring the land degradation of salinized areas facilitates land management and ecological restoration. In this research, we integrated the salinization index (SI), albedo, normalized difference vegetation index (NDVI) and land surface soil moisture index (LSM) through the principal component analysis (PCA) method to establish a salinized land degradation index (SDI). Based on the SDI, the land degradation of a typical salinized area in the Central Asia Amu Darya delta (ADD) was analysed for the period 1990-2019. The results showed that the proposed SDI had a high positive correlation (R-2 = 0.89, p < 0.001) with the soil salt content based on field sampling, indicating that the SDI can reveal the land degradation characteristics of the ADD. The SDI indicated that the extreme and strong land degradation areas increased from 1990 to 2019, mainly in the downstream and peripheral regions of the ADD. From 1990 to 2000, land degradation improvement over a larger area than developed, conversely, from 2000 to 2019, and especially, from 2000 to 2010, the proportion of land degradation developed was 32%, which was mainly concentrated in the downstream region of the ADD. The spatial autocorrelation analysis indicated that the SDI values of Moran's I in 1990, 2000, 2010 and 2019 were 0.82, 0.78, 0.82 and 0.77, respectively, suggesting that the SDI was notably clustered in space rather than randomly distributed. The expansion of unused land due to land use change, water withdrawal from the Amu Darya River and the discharge of salt downstream all contributed to land degradation in the ADD. This study provides several valuable insights into the land degradation monitoring and management of this salinized delta and similar settings worldwide.
英文关键词	land degradation salinization remote sensing index salinized land degradation index (SDI) Amu Darya delta (ADD)
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E ; SSCI
WOS记录号	WOS:000682175800001
WOS关键词	AMU DARYA DELTA ; ARAL SEA ; WATER MANAGEMENT ; SOIL-SALINITY ; CENTRAL-ASIA ; DESERTIFICATION ; VEGETATION ; IRRIGATION ; RIVER ; INDEX
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
来源机构	中国科学院新疆生态与地理研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/364471
作者单位	[Yu, Tao; Jiapaer, Guli; Bao, Anming; Zheng, Guoxiong; Yuan, Ye; Huang, Xiaoran] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Yu, Tao; Zheng, Guoxiong; Yuan, Ye; Huang, Xiaoran] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Jiapaer, Guli; Bao, Anming] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Jiang, Liangliang] Chongqing Normal Univ, Sch Geog & Tourism, Chongqing 401331, Peoples R China; [Yuan, Ye] Sino Belgian Joint Lab Geoinformat, B-9000 Ghent, Belgium
推荐引用方式 GB/T 7714	Yu, Tao,Jiapaer, Guli,Bao, Anming,et al. Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area[J]. 中国科学院新疆生态与地理研究所,2021,13(15).
APA	Yu, Tao.,Jiapaer, Guli.,Bao, Anming.,Zheng, Guoxiong.,Jiang, Liangliang.,...&Huang, Xiaoran.(2021).Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area.REMOTE SENSING,13(15).
MLA	Yu, Tao,et al."Using Synthetic Remote Sensing Indicators to Monitor the Land Degradation in a Salinized Area".REMOTE SENSING 13.15(2021).