干旱区生态环境知识资源中心(Arid): CLAY CONTENT MAPPING USING SOIL MOISTURE PRODUCTS DERIVED FROM A SYNERGETIC USE OF SENTINEL-1 AND SENTINEL-2 DATA

Arid

DOI	10.1109/IGARSS39084.2020.9323773
	CLAY CONTENT MAPPING USING SOIL MOISTURE PRODUCTS DERIVED FROM A SYNERGETIC USE OF SENTINEL-1 AND SENTINEL-2 DATA
	Bousbih, Safa; Zribi, Mehrez; Chabaane, Zohra Lili; Baghdadi, Nicolas; Gorrab, Azza; Ben Aissa, Nadhira
通讯作者	Bousbih, S (corresponding author), OESBIO CNRS, IRD, UPS, CNES,INRAE, F-31401 Toulouse 9, France. ; Bousbih, S (corresponding author), Univ Carthage, INAT, LR GREEN TEAM, 43 Ave Charles Nicolle, Tunis 1082, Tunisia.
会议名称	IEEE International Geoscience and Remote Sensing Symposium (IGARSS)
会议日期	SEP 26-OCT 02, 2020
会议地点	ELECTR NETWORK
英文摘要	Soil texture estimation is important in several applications. However, field sampling or laboratory analyzes are very expensive and not very representative. Besides, existing soil maps are neither exhaustive nor sufficiently precise for modeling and meeting needs at field scale. This study aimed to explore the potential of Sentinel satellites to predict topsoil texture, and more precisely to produce clay content map at fine spatial resolution. With its components and its porosity, soil texture is directly linked to soil moisture. In this context and with the arrival of Sentinel constellation, data are acquired with high spatial and temporal resolution. And soil moisture is retrieved from a synergetic use of Sentinel-1 (S-1) and Sentinel-2 (S-2) data between July and early December 2017, over a semi-arid area in central Tunisia. Relationship between soil moisture and clay content is studied and used to produce texture map. Classification algorithm based on random forest (RF) is used for the mapping of clay content classes. The results showed the potential of S-1 and S-2 products to predict soil texture.
英文关键词	Sentinel-1 soil moisture soil texture Random Forest
来源出版物	IGARSS 2020 - 2020 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM
出版年	2020
页码	4910-4913
ISBN	978-1-7281-6374-1
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000664335304184
WOS关键词	SURFACE ; TEXTURE
WOS类目	Computer Science, Artificial Intelligence ; Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Optics
WOS研究方向	Computer Science ; Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Optics
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/365565
作者单位	[Bousbih, Safa; Zribi, Mehrez; Gorrab, Azza] OESBIO CNRS, IRD, UPS, CNES,INRAE, F-31401 Toulouse 9, France; [Bousbih, Safa; Chabaane, Zohra Lili; Ben Aissa, Nadhira] Univ Carthage, INAT, LR GREEN TEAM, 43 Ave Charles Nicolle, Tunis 1082, Tunisia; [Baghdadi, Nicolas] Univ Montpellier, UMR TETIS, INRAE, F-34093 Montpellier 5, France
推荐引用方式 GB/T 7714	Bousbih, Safa,Zribi, Mehrez,Chabaane, Zohra Lili,et al. CLAY CONTENT MAPPING USING SOIL MOISTURE PRODUCTS DERIVED FROM A SYNERGETIC USE OF SENTINEL-1 AND SENTINEL-2 DATA[C]:IEEE,2020:4910-4913.