干旱区生态环境知识资源中心(Arid): A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data

Arid

DOI	10.3390/rs14020363
	A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data
	Muhetaer, Nuerbiye; Nurmemet, Ilyas; Abulaiti, Adilai; Xiao, Sentian; Zhao, Jing
通讯作者	Nurmemet, I (corresponding author)，Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2022
卷号	14 期号:2
英文摘要	In arid and semi-arid areas, timely and effective monitoring and mapping of salt-affected areas is essential to prevent land degradation and to achieve sustainable soil management. The main objective of this study is to make full use of synthetic aperture radar (SAR) polarization technology to improve soil salinity mapping in the Keriya Oasis, Xinjiang, China. In this study, 25 polarization features are extracted from ALOS PALSAR-2 images, of which four features are selected. In addition, three soil salinity inversion models, named the RSDI1, RSDI2, and RSDI3, are proposed. The analysis and comparison results of inversion accuracy show that the overall correlation values of the RSDI1, RSDI2, and RSDI3 models are 0.63, 0.61, and 0.62, respectively. This result indicates that the radar feature space models have the potential to extract information on soil salinization in the Keriya Oasis.
英文关键词	soil salinization polarized feature component two-dimensional radar feature Keriya Oasis
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:000757083700001
WOS关键词	TARGET DECOMPOSITION-THEOREMS ; SCATTERING MODEL ; SAR DATA ; POLARIMETRIC DECOMPOSITION ; RETRIEVAL ALGORITHMS ; SALINIZATION ; REGIONS ; BIOMASS ; RIVER
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/2XILL650/376668
作者单位	[Muhetaer, Nuerbiye; Nurmemet, Ilyas; Abulaiti, Adilai; Xiao, Sentian; Zhao, Jing] Xinjiang Univ, Coll Resources & Environm Sci, Key Lab Oasis Ecol, Minist Educ, Urumqi 830046, Peoples R China
推荐引用方式 GB/T 7714	Muhetaer, Nuerbiye,Nurmemet, Ilyas,Abulaiti, Adilai,et al. A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data[J],2022,14(2).
APA	Muhetaer, Nuerbiye,Nurmemet, Ilyas,Abulaiti, Adilai,Xiao, Sentian,&Zhao, Jing.(2022).A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data.REMOTE SENSING,14(2).
MLA	Muhetaer, Nuerbiye,et al."A Quantifying Approach to Soil Salinity Based on a Radar Feature Space Model Using ALOS PALSAR-2 Data".REMOTE SENSING 14.2(2022).