Drought assessment and characterization using SPI, EDI and DEPI indices in northern Algeria

Habibi, Brahim; Meddi, Mohamed; Emre, Topçu; Boucefiane, Abdelkader; Rahmouni, Abedelwahab

doi:10.1007/s11069-024-06408-4

Cited by 2 publications

(1 citation statement)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, this study lacked a focused analysis of Algeria, particularly since 2011, leaving a gap in our understanding of the specific geographical and temporal patterns of drought in northern Algeria. Recently, [74] assessed and characterized drought in northern Algeria, shedding light on the drought patterns within the region. This study, however, relied on climatic drought indices, with limited observations until 2015.…”

Section: Introductionmentioning

confidence: 99%

Drought Monitoring Using Moderate Resolution Imaging Spectroradiometer-Derived NDVI Anomalies in Northern Algeria from 2011 to 2022

Benhizia,

Phinzi,

Hateffard

et al. 2024

Environments

View full text Add to dashboard Cite

Drought has emerged as a major challenge to global food and water security, and is particularly pronounced for Algeria, which frequently grapples with water shortages. This paper sought to monitor and assess the temporal and spatial distribution of drought severity across northern Algeria (excluding the Sahara) during the growing season from 2011 to 2022, while exploring the relationship between the normalized difference vegetation index (NDVI) anomaly and climate variables (rainfall and temperature). Temporal NDVI data from the Terra moderate resolution imaging spectroradiometer (MODIS) satellite covering the period 2000–2022 and climate data from the European Reanalysis 5th Generation (ERA5) datasets collected during the period 1990–2022 were used. The results showed that a considerable portion of northern Algeria has suffered from droughts of varying degrees of severity during the study period. The years 2022, 2021, 2016, and 2018 were the hardest hit, with 76%, 71%, 66%, and 60% of the area, respectively, experiencing drought conditions. While the relationship between the NDVI anomaly and the climatic factors showed variability across the different years, the steady decrease in vegetation health indicated by the NDVI anomaly corroborates the observed increase in drought intensity during the study period. We conclude that the MODIS-NDVI product offers a cost-efficient approach to monitor drought in data-scarce regions like Algeria, presenting a viable alternative to conventional climate-based drought indices, while serving as an initial step towards formulating drought mitigation plans.

show abstract

Section: Introductionmentioning

confidence: 99%