干旱区生态环境知识资源中心(Arid): Integrating GEOBIA and multi-source remote sensing images to lithological mapping: case study of Skhour Rehamna, Morocco

Arid

DOI	10.1117/12.2576008
	Integrating GEOBIA and multi-source remote sensing images to lithological mapping: case study of Skhour Rehamna, Morocco
	Serbouti, Imane; Raji, Mohamed; Hakdaoui, Mustapha
通讯作者	Serbouti, I (corresponding author), Hassan II Univ Casablanca, Fac Sci Ben MSik, Dept Geol, Lab Geodynam Old Chains, Casablanca, Morocco.
会议名称	Conference on Image and Signal Processing for Remote Sensing XXVI
会议日期	SEP 21-25, 2020
会议地点	ELECTR NETWORK
英文摘要	Satellite-borne remote sensing images are considered as one of the most important data sources for lithological mapping due to their extensive geographical coverage at an efficient cost. Integration of optical along with microwave satellite datasets, are leading to increase the lithological mapping accuracy. In this study, Geographic Object-Based Image Analysis (GEOBIA) was applied, using data from the freely available European Space Agency (ESA) Sentinel 1 SAR data and Sentinel 2 optical imagery, that were fused With a digital elevation model (DEM) of 13m spatial resolution, generated from two single look complex (SLC) sentinel 1 (C band) interferometry, in conjunction with slope and two geomorphic indices, Terrain Ruggedness (TRI) and Terrain Position Index (TPI) for mapping lithology in the southern of the Palaeozoic massif of Skhour Rehamna in Morocco. The statistical results of the fusion of Sentinel 1 and Sentinel 2 datasets have shown the highest accuracies, showing an overall accuracy (OA) of 92.80% and a kappa coefficient of and 0.89 compared to the layer stack of Sentinel 2 image bands with the first three Minimum noise fraction (MNF) and the Principal components bands (PC1, PC2 and PC6) that showed an OA of 91.50% and a kappa coefficient of and 0.87. With the achievable results in this study, the technique is useful in discriminating general rock type that outcrop in semi-arid regions.
英文关键词	Lithological mapping GEOBIA Fusion Sentinel 1 Sentinel 2 DEM Skhour Rehamna Morocco
来源出版物	IMAGE AND SIGNAL PROCESSING FOR REMOTE SENSING XXVI
ISSN	0277-786X
EISSN	1996-756X
出版年	2020
卷号	11533
ISBN	978-1-5106-3880-8
出版者	SPIE-INT SOC OPTICAL ENGINEERING
类型	Proceedings Paper
语种	英语
收录类别	CPCI-S
WOS记录号	WOS:000625211400043
WOS类目	Remote Sensing ; Optics ; Imaging Science & Photographic Technology
WOS研究方向	Remote Sensing ; Optics ; Imaging Science & Photographic Technology
资源类型	会议论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/353130
作者单位	[Serbouti, Imane; Raji, Mohamed] Hassan II Univ Casablanca, Fac Sci Ben MSik, Dept Geol, Lab Geodynam Old Chains, Casablanca, Morocco; [Hakdaoui, Mustapha] Hassan II Univ Casablanca, Fac Sci Ben MSik, Dept Geol, Lab Appl Geol Geomat & Environm, Casablanca, Morocco
推荐引用方式 GB/T 7714	Serbouti, Imane,Raji, Mohamed,Hakdaoui, Mustapha. Integrating GEOBIA and multi-source remote sensing images to lithological mapping: case study of Skhour Rehamna, Morocco[C]:SPIE-INT SOC OPTICAL ENGINEERING,2020.