Meteorological drought and remote sensing data: an approach to assess fire risks in the Algerian forest

Bentchakal, Malika; Medjerab, Abderrahmane; Chibane, Brahim; Rahmani, Salah Eddine Ali

doi:10.1007/s40808-021-01323-0

Cited by 10 publications

(5 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Overall, forest degradation is mainly related to a combination of natural and anthropogenic factors. Among these factors is climate change, such as the increasing frequency and severity of droughts in the region, forest fires, soil degradation, and the expansion of urban areas (Bentchakal et al, 2021). In addition, human activities, such as vegetation restoration and land use modifications, play a significant role in vegetation growth, resulting in various land-use characteristics (Jiang et al, 2021;.…”

Section: Discussionmentioning

confidence: 99%

See 1 more Smart Citation

Mapping Environmental Impacts in North-Western Algeria Through Multivariate Spatio-Temporal Analysis Using Remote Sensing and GIS

Mahcer,

Baahmed,

Chemirik

et al. 2024

Ecol. Eng. Environ. Technol.

View full text Add to dashboard Cite

The interactions between the normalised difference vegetation index (NDVI), the normalised difference built-up index (NDBI), and land surface temperature (LST) are complex. The assessment of land use/land cover (LULC) changes in the North-western region of Algeria between 1995 and 2021 confirms the direct influence of these factors on surface thermal processes. The use of new information technologies, particularly remote sensing coupled with GIS, favourably contributes to the processing of a large volume of data and to the use of specific methods aimed at confirming and/or disproving the hypotheses put forward. The application of LULC classification methods clearly highlights the magnitude of transformations, predominantly in favour of intensified urbanisation over the past two decades. Indeed, agricultural lands have experienced a reduction of 17.45%, while urbanised areas have nearly doubled. This phenomenon can, in part, be attributed to the mass migration of populations from inland areas to the coast, not only due to climate change: secondary for political problems between 1990 and 2001. Similarly, barren lands have increased by 10.45%. These changes have real implications for ecosystems (mainly loss of biodiversity) and the climate (pollution, GHG emissions, and rising ambient temperatures). The estimation of average LST from multiple satellite scenes reveals an increasing trend, rising from 36.6 °C in 1995 to 40.35 °C in 2021. The direct relationship between LST and NDVI and between LST and NDBI confirms the close association between land use change and increasing surface temperatures. The Pearson coefficient between LST and NDVI showed a negative correlation, ranging between -0.52 and -0.47, while it was positively correlated between LST and NDBI, with values around 0.66. The emergence of hotspots in the region, confirmed by the results of analysis employing the Getis-Ord G* method, is marked by clearly increasing spatial envelopes. This phenomenon is associated with a distinct reduction in vegetation cover density, coupled with an increased vulnerability to drought conditions. These initial results argue in favour of preserving green and blue networks and, more largely, ecosystems.

show abstract

Section: Discussionmentioning

confidence: 99%

“…The north-western region of the country is particularly affected by extreme climatic events as well as prolonged periods of drought (Bentchakal et al, 2021). Accordingly, considerable economic and social challenges as well as stress on the natural environment are prevalent.…”

Section: Introductionmentioning

confidence: 99%

Mapping Environmental Impacts in North-Western Algeria Through Multivariate Spatio-Temporal Analysis Using Remote Sensing and GIS

Mahcer,

Baahmed,

Chemirik

et al. 2024

Ecol. Eng. Environ. Technol.

View full text Add to dashboard Cite

show abstract

“…Nowadays, these predictions have been confirmed throughout the territory. We are particularly interested in this work in Algeria's north-east, where rainfall has decreased significantly in recent decades while temperature, evaporation, and rainfall intensity have increased (Khoualdia et al 2014;Mostafa-Kara 2013;Denidina et al 2020;Bentchakal 2021).…”

Section: Introductionmentioning

confidence: 99%

Impact of Drought in Northeastern Algeria: Comparative Study of the SPI and SPEI Índices

Ziari,

Medjerab

2024

RGSA

Self Cite

View full text Add to dashboard Cite

Purpose: The study aimed to evaluate drought trends in Annaba, Algeria, considering global warming and extreme weather, using quantitative indices for improved drought comprehension and prediction. Theoretical Framework:The study assesses changes in drought frequency and severity in the Annaba region of Algeria due to global warming and extreme weather conditions. It employs quantitative indices to enhance drought understanding and prediction. Methodology: The study analyzes temperature and precipitation data (1981-2021) from an Annaba weather station to assess drought characteristics.Standardized indices (SPI, SPEI) and extreme value analysis (Generalized Pareto Distribution) are used to quantify drought intensity, duration, and temperature impacts. Findings: Our analyses reveal a critical divergence in drought assessment tools. While stable monthly temperatures suggest a constant influence on evapotranspiration, the SPEI index (including temperature) indicates increasing drought compared to the precipitation-only SPI. This highlights the importance of considering temperature alongside precipitation for accurate drought assessment. Research Practical and Social Implication: This study emphasizes the significance of considering the interplay among temperature, precipitation, and evapotranspiration for better understanding and predicting drought changes in the Annaba region, Algeria. These insights are crucial for sustainable water resource management and climate change adaptation in the region. Originality/Value:This study distinguishes itself by its comprehensive analysis of long-term climate data to examine drought trends in a specific region (Annaba, Algeria) severely impacted by climate change. By comparing the effectiveness of two drought indices (SPEI and SPI), it offers valuable insights into how to improve drought assessments by considering the role of temperature in evapotranspiration. This research enriches the existing literature on drought management and climate change adaptation, providing a valuable case study for similar arid and semi-arid regions worldwide.

show abstract

“…Although remote-sensing-derived drought indices like the NDVI anomaly are commonly used for drought assessment [44,63,64], there has not been any research employing this method specifically for drought monitoring in Algeria. In general, prior drought studies in Algeria have mainly employed either the PDSI, the SPEI, or the SPI, focusing mainly on the north-western part of the country [65][66][67] or on individual watersheds [68][69][70][71][72]. Only one recent study [73] has delved into drought patterns and their effects on vegetation across North and West Africa between 2002 and 2018.…”

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

Meteorological drought and remote sensing data: an approach to assess fire risks in the Algerian forest

Cited by 10 publications

References 11 publications

Mapping Environmental Impacts in North-Western Algeria Through Multivariate Spatio-Temporal Analysis Using Remote Sensing and GIS

Mapping Environmental Impacts in North-Western Algeria Through Multivariate Spatio-Temporal Analysis Using Remote Sensing and GIS

Impact of Drought in Northeastern Algeria: Comparative Study of the SPI and SPEI Índices

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

Contact Info

Product

Resources

About