Spatiotemporal characterization of droughts and vegetation response in Northwest Africa from 1981 to 2020

cg.contacttuyenmassey@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerThai Nguyen University of Agriculture and Forestry - TUAFen_US
cg.contributor.centerNASA Goddard Space Flight Centeren_US
cg.contributor.centerScience Applications International Corporationen_US
cg.contributor.funderSwedish International Development Cooperation Agency - SIDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.creator.idGovind, Ajit: 0000-0002-0656-0004en_US
cg.identifier.doihttps://dx.doi.org/10.1016/j.ejrs.2023.05.006en_US
cg.isijournalISI Journalen_US
cg.issn1110-9823en_US
cg.issue3en_US
cg.journalThe Egyptian Journal of Remote Sensing and Space Sciencesen_US
cg.subject.agrovocndvien_US
cg.volume26en_US
dc.contributorGovind, Ajiten_US
dc.contributorLe, Manh-Hungen_US
dc.contributorLinh, Nguyen Thuyen_US
dc.contributorMai Anh, Tran Thien_US
dc.contributorHai, Nguyen Khacen_US
dc.contributorHa, Tuyen V.en_US
dc.creatorThi, Nguyen Quangen_US
dc.date.accessioned2023-11-08T17:47:23Z
dc.date.available2023-11-08T17:47:23Z
dc.description.abstractDrought has become one of the most devastating natural risks of agricultural production and the environment in almost all climate regions. Thus, understanding the spatiotemporal characteristics of drought and its associated impacts is crucial in drought early warning management and adaptation efforts. In this study, we used the 3-month Standardized Precipitation Index (SPI-3) obtained from Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) to investigate the space–time characteristics of drought conditions. Also, this study examined the impact of the SPI-based drought on vegetation health conditions using the Advanced Very High Resolution Radiometer (AVHRR) Normalized Difference Vegetation Index (NDVI) time-series data from 1981 to 2020. The results revealed that the region experiences drought primarily between July and September, with the most prolonged drought events lasting up to five months. Morocco suffered from more frequent droughts than other countries in the region. The Mann-Kendall test showed that the trend of drought became drier over the last decade, whereas the period from 1981 to 2010 witnessed either wetting or no trends. This study also found that the response of crops and grasslands showed higher correlation with the SPI-3 and that the response of vegetation to droughts was higher during the dry season. The findings of this study provide useful information to support local and regional drought planning and adaptation programs and enhance the under-standing of drought development in the region.en_US
dc.formatPDFen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/a5a8a7ced63e4f0a01c26eadb1cac3af/v/31ccd355185be2a0df75926f480a86bfen_US
dc.identifier.citationNguyen Quang Thi, Ajit Govind, Manh-Hung Le, Nguyen Thuy Linh, Tran Thi Mai Anh, Nguyen Khac Hai, Tuyen V. Ha. (2/6/2023). Spatiotemporal characterization of droughts and vegetation response in Northwest Africa from 1981 to 2020. The Egyptian Journal of Remote Sensing and Space Sciences, 26 (3), pp. 393-401.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/68769
dc.languageenen_US
dc.publisherElsevier (12 months)en_US
dc.rightsCC-BY-NC-ND-4.0en_US
dc.sourceThe Egyptian Journal of Remote Sensing and Space Sciences;26,(2023) Pagination 393-401en_US
dc.subjectspien_US
dc.subjectdrought characteristicsen_US
dc.subjectmann-kendall test remote sensingen_US
dc.titleSpatiotemporal characterization of droughts and vegetation response in Northwest Africa from 1981 to 2020en_US
dc.typeJournal Articleen_US
dcterms.available2023-06-02en_US
dcterms.extent393-401en_US
mel.impact-factor6.4en_US

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