Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)

According to IPCC, Morocco is a highly vulnerable country to extreme climate events, especially droughts; this will affect different socioeconomic sectors, mainly the agriculture sector. Droughts are controlled by the variability of precipitation and evapotranspiration but also not neglecting the ef...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Moutia Sara, Sinan Mohamed, Lekhlif Brahim
Formato: article
Lenguaje:EN
FR
Publicado: EDP Sciences 2021
Materias:
Acceso en línea:https://doaj.org/article/f8b0a6f4471f4a1b85efc51682c8fd2d
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
id oai:doaj.org-article:f8b0a6f4471f4a1b85efc51682c8fd2d
record_format dspace
spelling oai:doaj.org-article:f8b0a6f4471f4a1b85efc51682c8fd2d2021-11-08T15:19:09ZAssessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)2267-124210.1051/e3sconf/202131404003https://doaj.org/article/f8b0a6f4471f4a1b85efc51682c8fd2d2021-01-01T00:00:00Zhttps://www.e3s-conferences.org/articles/e3sconf/pdf/2021/90/e3sconf_wmad2021_04003.pdfhttps://doaj.org/toc/2267-1242According to IPCC, Morocco is a highly vulnerable country to extreme climate events, especially droughts; this will affect different socioeconomic sectors, mainly the agriculture sector. Droughts are controlled by the variability of precipitation and evapotranspiration but also not neglecting the effect of land surface conditions such as land surface temperature. In this present study, the remote sense observations MODIS Normalized Difference Vegetation Index (NDVI) and CMSAF Land Surface Temperature (LST) were used for calculating the Vegetation Health Index (VHI). The main advantage of remote sensing products is that they are reasonably efficient in terms of temporal and spatial coverage, and they are useful for the monitoring and assessment of drought in the near real-time. Furthermore, ERA5 Reanalysis-based SPEI is calculated. The goal of this study is to assess the spatial and temporal patterns of drought, this study offers the composite of SPEI and VHI drought monitoring obtained by plotting maps and graphs to show the monthly and annual variability of drought for the period 2000–2015 over the whole of Morocco. This monitoring can be used as a near real-time warning system in a changing climate.Moutia SaraSinan MohamedLekhlif BrahimEDP SciencesarticleEnvironmental sciencesGE1-350ENFRE3S Web of Conferences, Vol 314, p 04003 (2021)
institution DOAJ
collection DOAJ
language EN
FR
topic Environmental sciences
GE1-350
spellingShingle Environmental sciences
GE1-350
Moutia Sara
Sinan Mohamed
Lekhlif Brahim
Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
description According to IPCC, Morocco is a highly vulnerable country to extreme climate events, especially droughts; this will affect different socioeconomic sectors, mainly the agriculture sector. Droughts are controlled by the variability of precipitation and evapotranspiration but also not neglecting the effect of land surface conditions such as land surface temperature. In this present study, the remote sense observations MODIS Normalized Difference Vegetation Index (NDVI) and CMSAF Land Surface Temperature (LST) were used for calculating the Vegetation Health Index (VHI). The main advantage of remote sensing products is that they are reasonably efficient in terms of temporal and spatial coverage, and they are useful for the monitoring and assessment of drought in the near real-time. Furthermore, ERA5 Reanalysis-based SPEI is calculated. The goal of this study is to assess the spatial and temporal patterns of drought, this study offers the composite of SPEI and VHI drought monitoring obtained by plotting maps and graphs to show the monthly and annual variability of drought for the period 2000–2015 over the whole of Morocco. This monitoring can be used as a near real-time warning system in a changing climate.
format article
author Moutia Sara
Sinan Mohamed
Lekhlif Brahim
author_facet Moutia Sara
Sinan Mohamed
Lekhlif Brahim
author_sort Moutia Sara
title Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
title_short Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
title_full Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
title_fullStr Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
title_full_unstemmed Assessment of agricultural drought in Morocco based on a composite of the Vegetation Health Index (VHI) and Standardized Precipitation Evapotranspiration Index (SPEI)
title_sort assessment of agricultural drought in morocco based on a composite of the vegetation health index (vhi) and standardized precipitation evapotranspiration index (spei)
publisher EDP Sciences
publishDate 2021
url https://doaj.org/article/f8b0a6f4471f4a1b85efc51682c8fd2d
work_keys_str_mv AT moutiasara assessmentofagriculturaldroughtinmoroccobasedonacompositeofthevegetationhealthindexvhiandstandardizedprecipitationevapotranspirationindexspei
AT sinanmohamed assessmentofagriculturaldroughtinmoroccobasedonacompositeofthevegetationhealthindexvhiandstandardizedprecipitationevapotranspirationindexspei
AT lekhlifbrahim assessmentofagriculturaldroughtinmoroccobasedonacompositeofthevegetationhealthindexvhiandstandardizedprecipitationevapotranspirationindexspei
_version_ 1718442007137878016