干旱区生态环境知识资源中心(Arid): Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions

Arid

DOI	10.1016/j.rsase.2020.100420
	Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions
	Chakouri, Mohcine; Lhissou, Rachid; El Harti, Abderrazak; Maimouni, Soufiane; Adiri, Zakaria
通讯作者	Lhissou, R (corresponding author), Inst Natl Rech Sci, Ctr ETE, 490 Couronne St, Quebec City, PQ, Canada.
来源期刊	REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT
ISSN	2352-9385
出版年	2020
卷号	20
英文摘要	This paper aims to assess the image-based and physical atmospheric corrections of Landsat 8 images for geological mapping. This study was carried out in the central Jebilet inlier in Moroccan anti atlas, which is characterized by its geological diversity, its mining potential and an arid climate. Two physical atmospheric corrections FLAASH (Fast Line-of-Sight Atmospheric Analysis of Spectral Hypercubes) and ATCOR (Atmospheric & Topographic Correction) were compared to the DOS1 (Dark Object Subtraction) image-based method. The assessment of the results was based on the ASD (Analytical Spectral Devices) spectroradiometric data as well as the SVM (Support Vector Machine) classifications issued from the atmospherically corrected images. The FLAASH provided the most accurate Bottom Of Atmosphere BOA reflectance estimation (R-2 = 0.95 and RMSE = 0.033) and slightly outperformed the DOS1 method (R-2 = 0.94 and RMSE = 0.034). For the SVM classification outputs, DOS1 gave results almost similar to those obtained by FLAASH and ATCOR. The similarity between the FLAASH and DOS1 SVM classifications was 97.77%. The results of this work demonstrate the effectiveness of the image-based method in atmospheric correction of multispectral data for geological and mineral mapping over the arid and semi-arid regions. The image-based atmospheric correction method is proved as an accurate, simple way and very straightforward to apply.
英文关键词	Atmospheric correction Remote sensing FLAASH DOS1 ATCOR
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000654346100054
WOS关键词	LANDSAT TM DATA ; RADIATIVE-TRANSFER ; OPHIOLITE COMPLEX ; ASTER DATA ; CLASSIFICATION ; PERFORMANCE ; RETRIEVAL ; CODE ; SVM ; RF
WOS类目	Environmental Sciences ; Remote Sensing
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/352671
作者单位	[Chakouri, Mohcine; El Harti, Abderrazak; Adiri, Zakaria] Sultan Moulay Slimane Univ, Fac Sci & Tech, Team Remote Sensing & GIS Appl Geosci & Environm, POB 523, Beni Mellal, Morocco; [Lhissou, Rachid] Inst Natl Rech Sci, Ctr ETE, 490 Couronne St, Quebec City, PQ, Canada; [Maimouni, Soufiane] Hassan II Univ Casablanca, Fac Sci Ben Msik, Dept Geol, Lab Appl Geol Geomat & Environm, BP 7955, Casablanca, Morocco
推荐引用方式 GB/T 7714	Chakouri, Mohcine,Lhissou, Rachid,El Harti, Abderrazak,et al. Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions[J],2020,20.
APA	Chakouri, Mohcine,Lhissou, Rachid,El Harti, Abderrazak,Maimouni, Soufiane,&Adiri, Zakaria.(2020).Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions.REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT,20.
MLA	Chakouri, Mohcine,et al."Assessment of the image-based atmospheric correction of multispectral satellite images for geological mapping in arid and semi-arid regions".REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT 20(2020).