干旱区生态环境知识资源中心(Arid): Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine

Arid

DOI	10.3390/rs12010131
	Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine
	Hakdaoui, Sofia 1; Emran, Anas 1; Pradhan, Biswajeet 2,3; Qninba, Abdeljebbar 4; El Balla, Taoufik 5; Mfondoum, Alfred Homere Ngandam 6,7; Lee, Chang-Wook 8; Alamri, Abdullah M.9
通讯作者	Pradhan, Biswajeet
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2020
卷号	12 期号:1
英文摘要	Imlili Sebkha is a stable and flat depression in southern Morocco that is more than 10 km long and almost 3 km wide. This region is mainly sandy, but its northern part holds permanent water pockets that contain fauna and flora despite their hypersaline water. Google Earth Engine (GEE) has revolutionized land monitoring analysis by allowing the use of satellite imagery and other datasets via cloud computing technology and server-side JavaScript programming. This work highlights the potential application of GEE in processing large amounts of satellite Earth Observation (EO) Big Data for the free, long-term, and wide spatio-temporal wet/dry permanent salt water cavities and moisture monitoring of Imlili Sebkha. Optical and radar images were used to understand the functions of Imlili Sebkha in discovering underground hydrological networks. The main objective of this work was to investigate and evaluate the complementarity of optical Landsat, Sentinel-2 data, and Sentinel-1 radar data in such a desert environment. Results show that radar images are not only well suited in studying desertic areas but also in mapping the water cavities in desert wetland zones. The sensitivity of these images to the variations in the slope of the topographic surface facilitated the geological and geomorphological analyses of desert zones and helped reveal the hydrological functions of Imlili Sebkha in discovering buried underground networks.
英文关键词	Google Earth Engine permanent salt water cavities change remote sensing Sebkha southern Morocco
类型	Article
语种	英语
国家	Morocco ; Australia ; South Korea ; USA ; Cameroon ; Saudi Arabia
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000515391700131
WOS关键词	SYNTHETIC-APERTURE RADAR ; RANDOM FOREST CLASSIFICATION ; SOIL-MOISTURE ; LANDSAT IMAGES ; NEGEV DESERT ; DATA FUSION ; SAR DATA ; POLARIZATION ; SALINITY ; INDEX
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
来源机构	King Saud University
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/315405
作者单位	1.Mohamed V Univ, Earth Observat Dept, Geobiodivers & Nat Patrimony Lab, Geophys Nat Patrimony & Green Chem Res Ctr,Sci In, Av Ibn Batouta BP 703, Rabat 10106, Morocco; 2.Univ Technol Sydney, Fac Engn & Informat Technol, Ctr Adv Modelling & Geospatial Informat Syst, Ultimo, NSW 2007, Australia; 3.Sejong Univ, Dept Energy & Mineral Resources Engn, 209 Neungdong Ro, Seoul 05006, South Korea; 4.Grp Rech Protect Oiseaux Maroc GREPOM BirdLife Re, Sale 11160, Morocco; 5.Assoc Nat Initiat, Ave Mohamed Fadel Semlali,BP 79, Ad Dakhla 11060, Morocco; 6.StatsNMaps, Private Consulting Firm, Dallas, TX 75287 USA; 7.Univ Yaounde I, Dept Geog, Lab Nat Resources Management, PoB 755, Yaounde, Cameroon; 8.Kangwon Natl Univ, Div Sci Educ, 1 Kangwondaehak Gil, Chuncheon Si 24341, South Korea; 9.King Saud Univ, Coll Sci, Dept Geol & Geophys, POB 2455, Riyadh 11451, Saudi Arabia
推荐引用方式 GB/T 7714	Hakdaoui, Sofia,Emran, Anas,Pradhan, Biswajeet,et al. Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine[J]. King Saud University,2020,12(1).
APA	Hakdaoui, Sofia.,Emran, Anas.,Pradhan, Biswajeet.,Qninba, Abdeljebbar.,El Balla, Taoufik.,...&Alamri, Abdullah M..(2020).Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine.REMOTE SENSING,12(1).
MLA	Hakdaoui, Sofia,et al."Assessing the Changes in the Moisture/Dryness of Water Cavity Surfaces in Imlili Sebkha in Southwestern Morocco by Using Machine Learning Classification in Google Earth Engine".REMOTE SENSING 12.1(2020).