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A study of vegetation cover dynamics using landsat images: case of the beni haroun watershed (Algeria)

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Conducting a diachronic study of vegetation cover helps to assess its transformations over a period of time, allowing for a comprehensive assessment of the factors influencing these transformations. The purpose of this research is to analyze the vegetation cover spatio-temporal changes within Beni Haroun watershed, located in the northeast region of Algeria. Based on remote sensing data, two satellite images for the years 2009 and 2020 from Landsat 7 ETM+ and Landsat 8 OLI/TIRS were downloaded. The Normalized Difference Vegetation Index was employed to remotely detect and monitor the changes of the vegetation cover. It was calculated for both chosen dates, and the results were classified into four classes (no vegetation, sparse vegetation, moderate vegetation, dense vegetation), each representing a different vegetation density. The obtained maps showed a regression of the vegetation cover. The NDVI values have decreased from 0.77 in 2009 to 0.58 in 2020. Spatial patterns in the classified NDVI maps illustrated reduced vegetation cover demonstrated by an expansion of the no vegetation class: 35,3479 ha in 2009 and 56,7916 ha in 2020. The final map of the change detection depicted a predominance of the negative change throughout Beni Haroun watershed, in consequence of various controlling factors, including climate and human interventions.
Rocznik
Tom
Strony
315--328
Opis fizyczny
Bibliogr. 20 poz., rys., tab.
Twórcy
  • Faculty of Earth Sciences, Geography and Territory Planning University of Constantine 1 Frères Mentouri Laboratory of Territorial Sciences, Natural Resources and Environment LASTERNE, Algeria
  • Faculty of Earth Sciences, Geography and Territory Planning University of Constantine 1 Frères Mentouri Laboratory of Territorial Sciences, Natural Resources and Environment LASTERNE, Algeria
  • Department of Earth Sciences Institute of Architecture and Earth Sciences University Abbas Ferhat, Sétif, Algeria
Bibliografia
  • Agone V., Bhamare S.M. 2012. Change detection of vegetation cover using remote sensing and GIS. Journal of Research and Development, 2(4).
  • Alphan H., Derse M.A. 2013. Change detection in Southern Turkey using normalized difference vegetation index (NDVI). Journal of Environmental Engineering and Landscape Management, 21(1), 12‒18.
  • Ansar A. 2017. Image Classification in Remote Sensing & GIS. DOI: 10.13140/RG.2.2.32979.99369
  • Belgherbi B., Benabdeli K., Mostefai K. 2018. Mapping the risk of forest fires in Algeria: Application of the forest of Guetarnia in Western Algeria. Ekológia, 37(3), 289‒300.
  • Chen C., He B., Guo L., Zhang Y., Xie X., Chen Z. 2018. Identifying critical climate periods for vegetation growth in the Northern Hemisphere. Journal of Geophysical Research: Biogeosciences, 123(8), 2541‒2552.
  • Faramarzi M., Heidarizadi Z., Mohamadi A., Heydari M. 2018. Detection of vegetation changes in relation to normalized difference vegetation index (NDVI) in semi-arid rangeland in western Iran. Detection of vegetation cover changes using normalized difference vegetation index in semi-arid rangeland in western Iran (researchgate.net)
  • Farhan Y.,Nawaiseh S. 2015. Spatial assessment of soil erosion risk using RUSLE and GIS techniques. Environmental Earth Sciences, 74, 4649‒4669.
  • Gandhi G.M., Parthiban B.S., Thummalu N., Christy A. 2015. NDVI: Vegetation change detection using remote sensing and GIS: A case study of Vellore District. Procedia Computer Science, 57, 1199‒1210.
  • Igwe P.U., Ezeukwu J.C., Edoka N.E., Ejie O.C., Ifi G.I. 2017. A review of vegetation cover as a natural factor to soil erosion. Int. J. Rural Dev. Environ. Health Res., 1, 21‒28.
  • Jaman T., Dharanirajan K., Rana S. 2022. Land Use and Land Cover Change Detection and Its Environmental Impact on South Andaman Island, India using Kappa Coefficient Statistical Analysis and Geospatial Techniques. International Research Journal of Engineering and Technology (IRJET), 9 (4).
  • Khallef B., Brahamia K., Oularbi A. 2021. Study of the dynamics of vegetation cover by satellite images: Case of El Kala National Park (Algeria). Ekológia, 40 (3), 212‒221.
  • Khallef B., Zennir R. 2023. Forest cover change detection using Normalized Difference Vegetation Index in the Oued Bouhamdane watershed, Algeria: A case study. Journal of Forest Science, 69(6), 1212‒4834.
  • Koussa M., Bouziane M.T. 2018. Apport de SIG a la cartographie des zones à risque d’érosion hydrique dans le bassin versant de Beni Haroun, Mila, Algérie. Geo-Eco-Trop, 42(1), 43‒56.
  • Lakache H. 2022. Etude de la variabilité des apports hydrologiques des oueds Rhumel-Endja au barrage Béni Haroun (Algérie Orientale). Enjeux du climat et de l’environnement. Thèse de doctorat. Université Frères Mentouri-Constantine 1.
  • Lange M.A. 2019. Impacts of climate change on the Eastern Mediterranean and the Middle East and North Africa region and the water–energy nexus. Atmosphere, 10(8), 455.
  • Pantho M.J., Ishmam Z.S., Hafiz A.M.I., Rahman M.M. 2022. NDVI: Detection of vegetation change using remote sensing and GIS: A study on Barishal City Corporation, Bangladesh.
  • Rwanga S.S., Ndambuki J.M. 2017. Accuracy assessment of land use/land cover classification using remote sensing and GIS. International Journal of Geosciences, 8(4), 611.
  • Sapucci G.R., Negri R.G., Casaca W., Massi K.G. 2021. Analyzing spatio-temporal land cover dynamics in an Atlantic forest portion using unsupervised change detection techniques. Environmental Modeling & Assessment, 26, 581‒590.
  • Shimu S.A., Aktar M., Afjal M.I., Nitu A.M., Uddin M.P., Al Mamun M. 2019. NDVI based change detection in Sundarban Mangrove Forest using remote sensing data. 4th International Conference on Electrical Information and Communication Technology (EICT), 1‒5. IEEE.
  • Tourki M. 2019. Modélisation du transfert des flux hydro-sédimentaires et cartographie des zones à risque d’érosion hydrique dans le bassin versant de l’Oued Kébir-Rhumel. Thèse de doctorat. Université Badji Mokhtar Annaba.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2024).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3fd20d72-7aa4-4ce6-8835-4e0078239d24
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