EventsThe 5th International Electronic Conference on Remote Sensing
Published
with-doi10.3390/ECRS2023-17970 (registering DOI)
This submission belongs to the session S3. Remote sensing applications of the event The 5th International Electronic Conference on Remote Sensing
Published date
12 Jun, 2024
Academic Editor
author-avatarAlexander Kokhanovsky
Citation
Fatima Ezahrae Ezzaher, Nizar Ben Achhab, Naoufal Raissouni, Hafssa Naciri, Abdelilah Azyat, Landsat-8 satellite Imagery to Assess Mediterranean Forests Fire Impact on Land Surface Temperature and Vegetation, in Proceedings of The 5th International Electronic Conference on Remote Sensing, 7 November–21 November 2023, MDPI: Basel, Switzerland, doi: 10.3390/ECRS2023-17970
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Landsat-8 satellite Imagery to Assess Mediterranean Forests Fire Impact on Land Surface Temperature and Vegetation

1. PhD Student at Abdelmalek Essaâdi University, Morocco
2. Professor at Abdelmalek Essaâdi University, Morocco
Abstract

Forests are considered vital to earth and humanity, as they clean air, protect us from disasters, and enhance our well-being. However, nowadays forests are frequently exposed to different types of dangers, and fires are the major ones, as they drastically alter the land surface properties, including temperature and vegetation. In this research, we aim to assess the impact of fire on surface temperature and vegetation using the Land Surface Temperature (LST) index and the Normalized Difference Vegetation Index (NDVI), respectively. As a study case, we chose two zones of the “Bou Jedyane” forest (Mediterranean region, North of Morocco), one of which was totally affected by a fire occurred in July 2022, with an area of approximately 115 Km², and the other was used as a control. Landsat-8 images from January 2021 to August 2023 were used to extract the considered indices. Then, we computed their percentage of difference between the two zones to assess how the fire changed the temperature and vegetation in the burned area compared to the intact area before, during, and after the fire. Results revealed that fire significantly affected LST and NDVI in the region, as they shifted dramatically from percentage differences ranging between 1% and 7% in 2021 to 27% and 59% for LST and NDVI, respectively, right after the fire outbreak. In the year 2023, we got a decreasing percentage of differences in both LST and NDVI, indicating that the forest is recovering over time. These results demonstrate the impact of fire on two significant elements, the land surface temperature and the vegetation, as well as the forest potential for natural regeneration.

Keywords
LST
NDVI
Forest
Fire severity
Landsat-8
Manuscript
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