Utilizing the vegetation health index to assess agricultural drought in the Constantine Region of Algeria

Authors

  • Benoumeldjadj Maya image/svg+xml Larbi Ben M'hidi University of Oum El Bouaghi

    Maya Benoumeldjadj is a teaching researcher and assistant professor B. After obtaining her State Architect diploma from the University of Constantine (Algeria), she worked for eighteen years in private study offices as well as within local communities. She earned her Master's degree in 2014 from Salah Boubnider University, Constantine 3, and was recruited as an assistant professor B at Larbi Ben Mhidi University, Oum El Bouaghi, in 2015. In 2023, she defended her PhD in urban planning with a focus on urban projects and earned the title of assistant professor B.

  • Malika Rached-Kanouni image/svg+xml Larbi Ben M'hidi University of Oum El Bouaghi

    Malika Rached Kanouni is a teacher researcher at at Larbi Ben Mhidi University, Oum El Bouaghi, Algeria, where she works a professor specialist in the development of natural environments for academic ecology and environment training.

  • Abdelouahab Bouchareb image/svg+xml University of Constantine 3

    Abdelouahab Bouchareb is a lecturer and researcher at the University of Constantine 3, affiliated with the AUTES laboratory. Professor, holder of adoctorate in urban planning 2006. Area of interest; urban heritage, projects and actions.

DOI:

https://doi.org/10.47818/DRArch.2024.v5i2132

Keywords:

remote sensing, drought, VHI, Google Earth Engine, Constantine

Abstract

This research employs remote sensing techniques to map agricultural drought in the Constantine region of Algeria during the years 2021 to 2023. Using Landsat images processed through the Google Earth Engine platform, three indices (NDVI, VHI, and SPI) were calculated. The findings indicate deterioration in both climatic conditions and vegetation health. Specifically, NDVI and SPI exhibit decreases, while VHI shows an increase, signaling heightened water stress. The inverse relationship between NDVI and VHI underscores the connection between water availability and vegetation health. Additionally, a detailed analysis reveals severe drought conditions in the Southwestern part of the region. This study showcases the value of utilizing remote sensing technology on the Google Earth Engine platform for monitoring climate and vegetation patterns over space and time. These insights can help in forecasting the effects of climate change on agriculture and inform the adoption of suitable strategies to ensure food security.

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Published

2024-08-30

How to Cite

Maya, B., Rached-Kanouni, M., & Bouchareb, A. (2024). Utilizing the vegetation health index to assess agricultural drought in the Constantine Region of Algeria. Journal of Design for Resilience in Architecture and Planning, 5(2), 287–299. https://doi.org/10.47818/DRArch.2024.v5i2132

Issue

Vol. 5 No. 2 (2024)

Section

Research Articles

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Copyright (c) 2024 Benoumeldjadj Maya, Malika Rached-Kanouni, Abdelouahab Bouchareb

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Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

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