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

• Published in: Environments (Basel, Switzerland) Switzerland), 2024-05, Vol.11 (5), p.95
• Main Authors: Benhizia, Ramzi, Phinzi, Kwanele, Hateffard, Fatemeh, Aib, Haithem, Szabó, György
• Format: Article
• Language: English
• Subjects: Algeria; Climate; Climate change; Climatic data; Data assimilation; Datasets; Drought; Drought index; Droughts; Environmental aspects; Environmental monitoring; Growing season; MODIS; MODIS-NDVI; NDVI anomaly; Normalized difference vegetative index; Precipitation; Rain; Rainfall; Remote sensing; Satellite imaging; Satellites; Spatial distribution; Spectroradiometers; Temperature; Vegetation; Water security; Water shortages; Water-supply
• ISSN: 2076-3298; 2076-3298
• DOI: 10.3390/environments11050095

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.