干旱区生态环境知识资源中心(Arid): A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco

Arid

DOI	10.3390/rs11091042
	A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco
	Hakdaoui, Sofia 1; Emran, Anas 1; Pradhan, Biswajeet 2,3; Lee, Chang-Wook 4; Fils, Salomon Cesar Nguemhe 5,6
通讯作者	Pradhan, Biswajeet ; Lee, Chang-Wook
来源期刊	REMOTE SENSING
ISSN	2072-4292
出版年	2019
卷号	11 期号:9
英文摘要	This study aims to present a technique that combines multi-sensor spatial data to monitor wetland areas after a flash-flood event in a Saharan arid region. To extract the most efficient information, seven satellite images (radar and optical) taken before and after the event were used. To achieve the objectives, this study used Sentinel-1 data to discriminate water body and soil roughness, and optical data to monitor the soil moisture after the event. The proposed method combines two approaches: one based on spectral processing, and the other based on categorical processing. The first step was to extract four spectral indices and utilize change vector analysis on multispectral diachronic images from three MSI Sentinel-2 images and two Landsat-8 OLI images acquired before and after the event. The second step was performed using pattern classification techniques, namely, linear classifiers based on support vector machines (SVM) with Gaussian kernels. The results of these two approaches were fused to generate a collaborative wetland change map. The application of co-registration and supervised classification based on textural and intensity information from Radar Sentinel-1 images taken before and after the event completes this work. The results obtained demonstrate the importance of the complementarity of multi-sensor images and a multi-approach methodology to better monitor changes to a wetland area after a flash-flood disaster.
英文关键词	categorical processing collaborative change detection remote sensing GIS wet land monitoring Morocco
类型	Article
语种	英语
国家	Morocco ; Australia ; South Korea ; Cameroon
开放获取类型	Green Submitted, gold
收录类别	SCI-E
WOS记录号	WOS:000469763600050
WOS关键词	ARTIFICIAL NEURAL-NETWORKS ; SUPPORT VECTOR MACHINE ; CLASSIFICATION ; COVER ; RIVER ; SOIL ; VEGETATION ; EXTENT ; ACCURACY ; EROSION
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/218367
作者单位	1.Mohamed V Univ Rabat, Geobiodivers & Nat Patrimony Lab, Geophys Nat Patrimony & Green Chem Res Ctr, Inst Sci, Ave Ibn Batouta BP 703, Rabat 10106, Morocco; 2.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Adv Modelling & Geospatial Informat Syst CAMG, Ultimo, NSW 2007, Australia; 3.Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea; 4.Kangwon Natl Univ, Div Sci Educ, 1 Kangwondaehak Gil, Chuncheon Si 24341, South Korea; 5.IRGM, Image Proc Lab LTI, POB 4110, Yaounde, Cameroon; 6.Univ Yaounde I, Dept Earth Sci, POB 812, Yaounde, Cameroon
推荐引用方式 GB/T 7714	Hakdaoui, Sofia,Emran, Anas,Pradhan, Biswajeet,et al. A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco[J],2019,11(9).
APA	Hakdaoui, Sofia,Emran, Anas,Pradhan, Biswajeet,Lee, Chang-Wook,&Fils, Salomon Cesar Nguemhe.(2019).A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco.REMOTE SENSING,11(9).
MLA	Hakdaoui, Sofia,et al."A Collaborative Change Detection Approach on Multi-Sensor Spatial Imagery for Desert Wetland Monitoring after a Flash Flood in Southern Morocco".REMOTE SENSING 11.9(2019).