干旱区生态环境知识资源中心(Arid): SENTINEL-1 AND SENTINEL-2 DATA FOR SOIL MOISTURE AND IRRIGATION MAPPING OVER SEMI-ARID REGION

Arid

	SENTINEL-1 AND SENTINEL-2 DATA FOR SOIL MOISTURE AND IRRIGATION MAPPING OVER SEMI-ARID REGION
	Bousbih, Safa; Zribi, Mehrez; El Hajj, Mohammad; Baghdadi, Nicolas; Chabaane, Zohra Lili; Fanise, Pascal; Boulet, Gilles
通讯作者	Bousbih, S (corresponding author), CNRS, IRD, UPS, CESBIO, 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	JUL 28-AUG 02, 2019
会议地点	Yokohama, JAPAN
英文摘要	Identifying the irrigated areas is essential for waters managers who are in charge of distributing this resource over a large scale. The monitoring of water soil content and irrigation is a powerful tool for water resource management. The potential of Sentinel-1 (S1) and Sentinel-2 (S2) data for estimating the soil moisture and irrigation is studied over covered surfaces. An inversion algorithm of the Water Cloud Model (WCM) was developed after calibrating and validating the model over the Kairouan plain, a semi-arid region in Tunisia. The aim is to restitute soil moisture over the whole region. The developed algorithm used a synergy between S1, radar data in VV polarization, and NDVI derived from S2 optical data at high spatial resolution. The results showed good accuracy between retrieved and measured soil moisture with a Root Mean Square Error (RMSE) lower than 6 vol.%. Then, the resulting soil moisture maps were used for irrigation mapping. The process used a combination of Support Vector Machine (SVM) and Decision Tree classifications to distinguish between irrigated and non-irrigated agricultural fields. Results from the annual irrigation map show that the overall accuracy on the classification is about 77%.
英文关键词	Sentinel-1 Sentinel-2 C-band NDVI soil moisture irrigation high spatial resolution
来源出版物	2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
ISSN	2153-6996
出版年	2019
页码	7022-7025
ISBN	978-1-5386-9154-0
出版者	IEEE
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000519270606146
WOS类目	Geosciences, Multidisciplinary ; Remote Sensing
WOS研究方向	Geology ; Remote Sensing
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/370116
作者单位	[Bousbih, Safa; Zribi, Mehrez; Fanise, Pascal; Boulet, Gilles] CNRS, IRD, UPS, CESBIO, F-31401 Toulouse 9, France; [Bousbih, Safa; Chabaane, Zohra Lili] Univ Carthage, INAT, LR GREEN TEAM, 43 Ave Charles Nicolle, Tunis 1082, Tunisia; [El Hajj, Mohammad; Baghdadi, Nicolas] Univ Montpellier, UMR TETIS, IRSTEA, F-34093 Montpellier 5, France
推荐引用方式 GB/T 7714	Bousbih, Safa,Zribi, Mehrez,El Hajj, Mohammad,et al. SENTINEL-1 AND SENTINEL-2 DATA FOR SOIL MOISTURE AND IRRIGATION MAPPING OVER SEMI-ARID REGION[C]:IEEE,2019:7022-7025.