Assessing Pine Forest Restoration Post-Fire Using NDVI and GIS Technologies
Rattachement africain : kz. Niveau de preuve : code pays fourni par la source.
Le résumé fourni par la source
This study addresses the pressing and pertinent issue of establishing a space-based monitoring system to track forest condition changes.Utilizing geographic information system technologies and the Normalized Difference Vegetation Index (NDVI), it examines the evolution and dynamics of pine forest regeneration in the Semey Ormany State Forest Natural Reserve (Zhanasemey branch), Kazakhstan.Landsat-5 satellite data were employed to map and identify terrestrial vegetation changes within the Zhanasemey branch.Satellite imagery for June 2007 and September 2008 were specifically utilized for this investigation.Post-acquisition, the satellite images were subjected to corrections, followed by radiometric adjustments to minimize atmospheric interference.Subsequently, NDVI classifications, an established method for plant classification, were applied to each image.The study focused on a 15-year timespan (2008 to 2022) to monitor changes in vegetation intensity, classified according to NDVI, and to track the reforestation process in areas affected by fire.Analysis of the regeneration of the pine forest post the 2008 fire, conducted at five-year intervals, revealed an increase in the restored forest area from 6,773.49ha in 2013 to 10,721.07 ha in 2018, and finally to 14,742.54ha in 2022.In 2008, the fire-impacted area with reduced vegetation spanned 7,015.41ha, while by 2022, the restored area encompassed 14,742.54ha, indicating a significant enhancement in the pine forest restoration process.The findings underscore the critical role of remote sensing in forest fire modelling and identifying areas at risk, suggesting its potential utility in large-scale monitoring and management efforts.The study demonstrates the feasibility and efficiency of using space-based technologies to monitor long-term changes in forest conditions and to track reforestation dynamics in fire-affected regions.
Ce résumé expose les affirmations des auteurs. BNTIC ne l’interprète pas comme une validation indépendante des résultats.
Le contrôle bibliographique ouvert
DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.
- Titre Crossref
- Assessing Pine Forest Restoration Post-Fire Using NDVI and GIS Technologies
- Date Crossref
- 26/12/2023
- Éditeur
- International Information and Engineering Technology Association
- Type
- journal-article
Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude, et il ne compte pas comme une seconde source scientifique indépendante.
Où se fait cette recherche
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Kazakh National Agrarian Research University pays non établi dans la noticeUniversité ou école supérieure
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Kazakh Scientific Research Veterinary Institute pays non établi dans la noticeStructure de recherche
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A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry pays non établi dans la noticeStructure de recherche
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S.Seifullin Kazakh Agro Technical University pays non établi dans la noticeUniversité ou école supérieure
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Republican Center for Healthcare Development pays non établi dans la noticeÉtablissement de santé
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Shakarim University pays non établi dans la noticeUniversité ou école supérieure
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Altai Branch of the Kazakh Research Institute of Forestry and Agroforestry named after A. N. Bukeikhan pays non établi dans la noticeStructure de recherche
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S.Seifullin Kazakh Agro Technical Research University pays non établi dans la noticeUniversité ou école supérieure
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Republican State Enterprise "Republican Forest Selection and Seed Center" pays non établi dans la noticeInstitution
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Non-Profit Joint - Stock Company "University named after Shakarim" pays non établi dans la noticeUniversité ou école supérieure
Kazakh National Agrarian Research University, Kazakh Scientific Research Veterinary Institute et A.N. Bukeikhan Kazakh Research Institute of Forestry and Agroforestry, avec 7 autres affiliations.
Une affiliation ne permet pas de déduire la nationalité d’un auteur.