干旱区生态环境知识资源中心(Arid): Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco

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DOI	10.1016/j.heliyon.2024.e24101
	Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco
	Ismaili, Maryem; Krimissa, Samira; Namous, Mustapha; Abdelrahman, Kamal; Boudhar, Abdelghani; Edahbi, Mohamed; Lebrini, Youssef; Htitiou, Abdelaziz; Maimouni, Soufiane; Benabdelouhab, Tarik
通讯作者	Ismaili, M
来源期刊	HELIYON
EISSN	2405-8440
出版年	2024
卷号	10 期号:2
英文摘要	To address the increasing global demand for food, it is crucial to implement sustainable agricultural practices, which include effective soil management techniques for enhancing productivity and environmental conditions. In this regard, a study was conducted to assess the efficacy of utilizing phenological metrics derived from satellite data in order to map and identify suitable agricultural soil within a semi-arid region. Two distinct methodologies were compared: one based on physicochemical soil parameters and the other utilizing the phenological response of vegetation through the application of the Normalized Difference Vegetation Index (NDVI) Modis-time series. The study findings indicated that the NDVI-based approach successfully identified a specific class of soil suitability for agriculture (referred to as S1) that could not be effectively mapped using the multi-criteria analysis (MCAD) method relying on soil physicochemical parameters. This S1 class of soil suitability accounted for approximately 5 % of the total study area. These outcomes suggest that phenological-based approaches offer greater potential for spatio-temporal monitoring of soil suitability status compared to MCAD, which heavily relies on discrete observations and necessitates frequent updates of soil parameters. The approach developed to map the soil-suitability is a valuable tool for sustainable agricultural development, and it can play an effective role in ensuring food security and conducting a land agriculture assessment.
英文关键词	Precision agriculture Soil mapping Multi -criteria analysis (MCAD) Large integral (LINTG) NDVI
类型	Article
语种	英语
开放获取类型	gold, Green Published
收录类别	SCI-E
WOS记录号	WOS:001155612800001
WOS关键词	LAND-USE ; MULTICRITERIA EVALUATION ; AGRICULTURE ; ATTRIBUTES ; FRAMEWORK ; SALINITY ; EROSION
WOS类目	Multidisciplinary Sciences
WOS研究方向	Science & Technology - Other Topics
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404007
推荐引用方式 GB/T 7714	Ismaili, Maryem,Krimissa, Samira,Namous, Mustapha,et al. Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco[J],2024,10(2).
APA	Ismaili, Maryem.,Krimissa, Samira.,Namous, Mustapha.,Abdelrahman, Kamal.,Boudhar, Abdelghani.,...&Benabdelouhab, Tarik.(2024).Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco.HELIYON,10(2).
MLA	Ismaili, Maryem,et al."Mapping soil suitability using phenological information derived from MODIS time series data in a semi-arid region: A case study of Khouribga, Morocco".HELIYON 10.2(2024).