干旱区生态环境知识资源中心(Arid): Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment

Arid

DOI	10.3390/ijgi10100711
	Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment
	Gharechelou, Saeid; Tateishi, Ryutaro; Sumantyo, Josaphat Tetuko Sri; Johnson, Brian Alan
通讯作者	Gharechelou, S (corresponding author), Shahrood Univ Technol, Fac Civil Engn, Shahrood 3619995161, Iran.
来源期刊	ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION
EISSN	2220-9964
出版年	2021
卷号	10 期号:10
英文摘要	Soil moisture is a critical component for Earth science studies, and Synthetic Aperture Radar (SAR) data have high potential for retrieving soil moisture using backscattering models. In this study, polarimetric SAR (PALSAR: Phased Array type L-band Synthetic Aperture Radar) data and polarimetric decompositions including span, entropy/H/alpha, and anisotropy, in combination with surface properties resulting from field and laboratory measurements, are used to categorize the natural surface condition and discriminate the backscatter parameter in the test site for applying the inversion soil moisture retrieval. The work aims to introduce the better of two examined models in the research for soil moisture retrieval over the bare land and sparse vegetation in arid regions. After soil moisture retrieval using the two different models, the results of comparison and validation by field measurement of soil moisture have shown that the Oh model has a more realiable accuracy for soil moisture mapping, although it was very difficult to find the best model due to different characteristics in land cover. It seems the inversion model, with the field observation and polarimetric SAR data, has a good potential for extracting surface natural conditions such as surface roughness and soil moisture; however, over- and under-estimation are observed due to land cover variability. The estimation of accurate roughness and moisture data for each type of land cover can increase the accuracy of the results.
英文关键词	soil moisture polarimetric SAR data Oh Dubois ALOS
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:000726428400001
WOS关键词	SYNTHETIC-APERTURE RADAR ; INTEGRAL-EQUATION MODEL ; C-BAND ; SURFACE-ROUGHNESS ; TERRASAR-X ; SEMIEMPIRICAL CALIBRATION ; MULTI-INCIDENCE ; BARE ; PARAMETERS ; INVERSION
WOS类目	Computer Science, Information Systems ; Geography, Physical ; Remote Sensing
WOS研究方向	Computer Science ; Physical Geography ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/373642
作者单位	[Gharechelou, Saeid] Shahrood Univ Technol, Fac Civil Engn, Shahrood 3619995161, Iran; [Tateishi, Ryutaro; Sumantyo, Josaphat Tetuko Sri] Chiba Univ, Ctr Environm Remote Sensing CEReS, Chiba 2638522, Japan; [Johnson, Brian Alan] Inst Global Environm Strategies IGES, Nat Resources & Ecosyst Serv Area, Hayama, Kanagawa 2400115, Japan
推荐引用方式 GB/T 7714	Gharechelou, Saeid,Tateishi, Ryutaro,Sumantyo, Josaphat Tetuko Sri,et al. Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment[J],2021,10(10).
APA	Gharechelou, Saeid,Tateishi, Ryutaro,Sumantyo, Josaphat Tetuko Sri,&Johnson, Brian Alan.(2021).Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment.ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION,10(10).
MLA	Gharechelou, Saeid,et al."Soil Moisture Retrieval Using Polarimetric SAR Data and Experimental Observations in an Arid Environment".ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 10.10(2021).