干旱区生态环境知识资源中心(Arid): Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea

Arid

DOI	10.3390/rs13234850
	Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea
	Song, Yubin; Zheng, Hongwei; Chen, Xi; Bao, Anming; Lei, Jiaqiang; Xu, Wenqiang; Luo, Geping; Guan, Qing
通讯作者	Zheng, HW (corresponding author), Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China. ; Zheng, HW (corresponding author), Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China. ; Zheng, HW (corresponding author), Univ Chinese Acad Sci, Beijing 100049, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:23
英文摘要	The fine particles produced during the desertification process provide a rich material source for sand and dust activities. Accurately locating the desertified areas is a prerequisite for human intervention in sand and dust activities. In arid and semi-arid regions, due to very sparse vegetation coverage, the microwave surface scattering model is very suitable for describing the variation of topsoil property during the process of desertification. However, the microwave backscattering coefficient (MBC) trend of the soil during the desertification process is still unclear now. Moreover, the MBC of a resolution unit usually involves the contribution of soil and vegetation. These problems seriously limit the application of microwave remote sensing technology in desertification identification. In this paper, we studied the soil MBC change trend during the desertification process and proposed a microwave backscattering contribution decomposition (MBCD) model to estimate the soil MBC of a resolution unit. Furthermore, a simple microwave backscattering threshold (SMSBT) model was established to describe the severity of desertification. The MBCD and SMSBT models were verified qualitatively through landscape photos of sampling points from a field survey in November 2018. The results showed that the MBC would gradually decline with the deepening degree of desertification. The MBCD model and the corresponding least squares method can be used to estimate the soil MBC accurately, and the SMSBT model can accurately distinguish different degrees of desertification. The results of desertification classification showed that more than 68% of the dry bottom of the Aral Sea is suffering from different degrees of desertification.
英文关键词	desertification Aral Sea microwave backscattering contribution decomposition least squares method
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000735083400001
WOS关键词	AEOLIAN DESERTIFICATION ; INFORMATION EXTRACTION ; LAND DEGRADATION ; DRIED BOTTOM ; INDEX ; SOIL ; SENSITIVITY ; VEGETATION ; TRANSPORT ; RISK
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
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373928
作者单位	[Song, Yubin; Zheng, Hongwei; Chen, Xi; Bao, Anming; Lei, Jiaqiang; Xu, Wenqiang; Luo, Geping] Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China; [Song, Yubin; Zheng, Hongwei; Chen, Xi; Bao, Anming; Lei, Jiaqiang; Xu, Wenqiang; Luo, Geping] Chinese Acad Sci, Res Ctr Ecol & Environm Cent Asia, Urumqi 830011, Peoples R China; [Song, Yubin; Zheng, Hongwei; Chen, Xi; Bao, Anming; Lei, Jiaqiang; Xu, Wenqiang; Luo, Geping] Univ Chinese Acad Sci, Beijing 100049, Peoples R China; [Song, Yubin] North China Inst Aerosp Engn, Sch Elect & Control Engn, Langfang 065000, Peoples R China; [Guan, Qing] Langfang Nat Resources & Planning Bur, Langfang 065000, Peoples R China
推荐引用方式 GB/T 7714	Song, Yubin,Zheng, Hongwei,Chen, Xi,et al. Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea[J],2021,13(23).
APA	Song, Yubin.,Zheng, Hongwei.,Chen, Xi.,Bao, Anming.,Lei, Jiaqiang.,...&Guan, Qing.(2021).Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea.REMOTE SENSING,13(23).
MLA	Song, Yubin,et al."Desertification Extraction Based on a Microwave Backscattering Contribution Decomposition Model at the Dry Bottom of the Aral Sea".REMOTE SENSING 13.23(2021).