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DOI	10.1007/s41748-019-00106-z
	Identifying Agricultural Systems Using SVM Classification Approach Based on Phenological Metrics in a Semi-arid Region of Morocco
	Lebrini, Y.; Boudhar, A.; Hadria, R.; Lionboui, H.; Elmansouri, L.; Arrach, R.; Ceccato, P.; Benabdelouahab, T.
通讯作者	Lebrini, Y
来源期刊	EARTH SYSTEMS AND ENVIRONMENT
ISSN	2509-9426
EISSN	2509-9434
出版年	2019
卷号	3 期号:2 页码:277-288
英文摘要	To understand changes in agricultural systems, it is necessary to monitor vegetation dynamics based on the spatio-temporal characterization of phenological parameters. The purpose of this study is to identify the main agricultural systems using a phenology-based classification method in a semi-arid context. Phenological metrics were derived from Normalized Difference Vegetation Index time series extracted from MOD13Q1 product between 2012 and 2016. Furthermore, Support Vector Machine classification method was applied based on phenological metrics, to identify the main agricultural system classes in the study area. The main classes are; (1) irrigated annual crop, (2) irrigated perennial crop, (3) rainfed area and (4) fallow. The classification overall accuracy reached 88%, with a kappa coefficient of 0.83 and values of F1-score greater than 0.76. The results demonstrated the ability of phenological parameters to identify and monitor the main agricultural system classes in the study area and to control the illegal pumping zones.
英文关键词	Phenological metrics Agricultural systems SVM Semi-arid MODIS
类型	Article
语种	英语
收录类别	ESCI
WOS记录号	WOS:000538760600010
WOS关键词	LAND-COVER CHANGE ; TIME-SERIES ; CROP CLASSIFICATION ; DATA SETS ; MODIS ; WHEAT ; CLIMATE ; BASIN ; NDVI ; VARIABILITY
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Meteorology & Atmospheric Sciences
Scopus学科分类	Natl Inst Agron Res, Rabat, Morocco.
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/334145
作者单位	[Lebrini, Y.; Boudhar, A.] Sultan Moulay Slimane Univ, Fac Sci & Tech, Water Resources Management & Valorisat & Remote S, Beni Mellal, Morocco; [Boudhar, A.] Mohammed VI Polytech Univ, Ctr Remote Sensing Applicat CRSA, Ben Guerir, Morocco; [Lebrini, Y.; Hadria, R.; Lionboui, H.; Benabdelouahab, T.] Natl Inst Agron Res, Rabat, Morocco; [Elmansouri, L.] Agron & Vet Inst Hassan II, Rabat, Morocco; [Arrach, R.] Minist Agr Fisheries Rural Dev Water & Forests, Direct Strategy & Stat, Rabat, Morocco; [Ceccato, P.] Columbia Univ, Int Res Inst Climate & Soc, New York, NY USA
推荐引用方式 GB/T 7714	Lebrini, Y.,Boudhar, A.,Hadria, R.,et al. Identifying Agricultural Systems Using SVM Classification Approach Based on Phenological Metrics in a Semi-arid Region of Morocco[J],2019,3(2):277-288.
APA	Lebrini, Y..,Boudhar, A..,Hadria, R..,Lionboui, H..,Elmansouri, L..,...&Benabdelouahab, T..(2019).Identifying Agricultural Systems Using SVM Classification Approach Based on Phenological Metrics in a Semi-arid Region of Morocco.EARTH SYSTEMS AND ENVIRONMENT,3(2),277-288.
MLA	Lebrini, Y.,et al."Identifying Agricultural Systems Using SVM Classification Approach Based on Phenological Metrics in a Semi-arid Region of Morocco".EARTH SYSTEMS AND ENVIRONMENT 3.2(2019):277-288.