干旱区生态环境知识资源中心(Arid): Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data

Arid

DOI	10.3390/rs13040578
	Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data
	Lebrini, Youssef; Boudhar, Abdelghani; Laamrani, Ahmed; Htitiou, Abdelaziz; Lionboui, Hayat; Salhi, Adil; Chehbouni, Abdelghani; Benabdelouahab, Tarik
通讯作者	Lebrini, Y (corresponding author), Sultan Moulay Slimane Univ, Fac Sci & Tech, Beni Mellal 23023, Morocco. ; Lebrini, Y (corresponding author), Natl Inst Agron Res, Dept Environm & Nat Resources, Rabat 10090, Morocco.
来源期刊	REMOTE SENSING
EISSN	2072-4292
出版年	2021
卷号	13 期号:4
英文摘要	Changing land use patterns is of great importance in environmental studies and critical for land use management decision making over farming systems in arid and semi-arid regions. Unfortunately, ground data scarcity or inadequacy in many regions can cause large uncertainties in the characterization of phenological changes in arid and semi-arid regions, which can hamper tailored decision making towards best agricultural management practices. Alternatively, state-of-the-art methods for phenological metrics' extraction and long time-series analysis techniques of multispectral remote sensing imagery provide a viable solution. In this context, this study aims to characterize the changes over farming systems through trend analysis. To this end, four farming systems (fallow, rainfed, irrigated annual, and irrigated perennial) in arid areas of Morocco were studied based on four phenological metrics (PhM) (i.e., great integral, start, end, and length of the season). These were derived from large Moderate resolution Imaging Spectroradiometer (MODIS) normalized difference vegetation index (NDVI) time-series using both a machine learning algorithm and a pixel-based change analysis method. Results showed that during the last twenty-year period (i.e., 2000-2019), a significant dynamism of the plant cover was linked to the behavior of farmers who tend to cultivate intensively and to invest in high-income crops. More specifically, a relevant variability in fallow and rainfed areas, closely linked to the weather conditions, was found. In addition, significant lag trends of the start (-6 days) and end (+3 days) were found, which indicate that the length of the season was related to the spatiotemporal variability of rainfall. This study has also highlighted the potential of multitemporal moderate spatial resolution data to accurately monitor agriculture and better manage land resources. In the meantime, for operationally implementing the use of such work in the field, we believe that it is essential consider the perceptions, opinions, and mutual benefits of farmers and stakeholders to improve strategies and synergies whilst ensuring food, welfare, and sustainability.
英文关键词	MODIS trend machine learning change detection Mann– Kendall NDVI phenology
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000624420200001
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	French National Research Institute for Sustainable Development
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/351478
作者单位	[Lebrini, Youssef; Boudhar, Abdelghani; Htitiou, Abdelaziz] Sultan Moulay Slimane Univ, Fac Sci & Tech, Beni Mellal 23023, Morocco; [Lebrini, Youssef; Htitiou, Abdelaziz; Lionboui, Hayat; Benabdelouahab, Tarik] Natl Inst Agron Res, Dept Environm & Nat Resources, Rabat 10090, Morocco; [Boudhar, Abdelghani; Laamrani, Ahmed; Chehbouni, Abdelghani] Mohammed VI Polytech Univ, Ctr Remote Sensing Applicat, Ben Guerir 43150, Morocco; [Salhi, Adil] Abdelmalek Essaadi Univ, Geog & Dev Grp, Martil 93150, Morocco; [Chehbouni, Abdelghani] Univ Toulouse, CNRS, UMR CNES,Inst Rech Dev IRD, INRAE,UPS,Ctr Etud Spatiales Biosphere CESBIO, F-31401 Toulouse 9, France
推荐引用方式 GB/T 7714	Lebrini, Youssef,Boudhar, Abdelghani,Laamrani, Ahmed,et al. Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data[J]. French National Research Institute for Sustainable Development,2021,13(4).
APA	Lebrini, Youssef.,Boudhar, Abdelghani.,Laamrani, Ahmed.,Htitiou, Abdelaziz.,Lionboui, Hayat.,...&Benabdelouahab, Tarik.(2021).Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data.REMOTE SENSING,13(4).
MLA	Lebrini, Youssef,et al."Mapping and Characterization of Phenological Changes over Various Farming Systems in an Arid and Semi-Arid Region Using Multitemporal Moderate Spatial Resolution Data".REMOTE SENSING 13.4(2021).