PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Assessment of the Impact of Covid-19 Related Containment on the Normalized Vegetation Index – A Remote Sensing Study of the Korifla Sub Watershed, Morocco

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This study analyzes the impact of containment due to the COVID-19 pandemic on the vegetation cover of the Korifla sub-watershed, based on remote sensing data and spatial analysis. The aim of this study was to analyze the impact of the containment imposed in response to the COVID-19 pandemic on the vegetation cover and to highlight significant changes in the distribution of normalized difference vegetation index (NDVI) before and after the containment period, as well as to identify the areas most affected by these changes. The results highlight significant fluctuations in the distribution of vegetation cover, including a decrease in water area and variations in the categories of bare soil, sparse, medium-dense and dense vegetation. Using NDVI as an indicator of vegetation health, changes before and after the confinement period were highlighted. These results highlight the impact of anthropogenic disturbances such as confinement on plant ecosystems, and underline the importance of continuously monitoring vegetation cover for sustainable natural resource management and biodiversity preservation. With climatic conditions in Morocco stagnating in the two years following containment, the climatic factor is now set aside, and the focus shifts to the impact of reduced human activity.
Słowa kluczowe
Twórcy
  • Laboratory of Geosciences, Department of Geology, Faculty of Sciences, University Ibn Tofail, Kénitra, BP 133, Morocco
  • Laboratory of Geosciences, Department of Geology, Faculty of Sciences, University Ibn Tofail, Kénitra, BP 133, Morocco
autor
  • Laboratory of Geosciences, Department of Geology, Faculty of Sciences, University Ibn Tofail, Kénitra, BP 133, Morocco
Bibliografia
  • 1. Allen, C.D., Hoekstra, T.W., Ludwig, D. 2015. An Anthropocene Primer. The Anthropocene Review, 2(3), 207–217.
  • 2. Attenborough, D. 2020. David Attenborough: A Life on Our Planet. Netflix Documentary.
  • 3. Brown, J.C. 2018. Assessing vegetation cover using remote sensing. Remote Sensing of Environment, 209, 871–880.
  • 4. Garcia, R.A., et al. 2020. Remote sensing approaches for monitoring habitat quality. Journal of Applied Ecology, 57(5), 892–904.
  • 5. Gonzalez, E., Tucker, C.J., Sy, H. 2018. Remote sensing of tropical dry forests: The current state of knowledge and future directions. International Journal of Applied Earth Observation and Geoinformation, 66, 20–34.
  • 6. Jones, M. 2020. Assessing vegetation cover using NDVIRemote Sensing of Environment, 123, 659–678.
  • 7. Justice, C., et al. 2000. The role of remote sensing in land change. Washington, DC: National Academy Press.
  • 8. Mann, M. 2020. The New Climate War: The Fight to Take Back Our Planet. Public Affairs.
  • 9. Schwab, K. 2020. COVID-19: The Great Reset. Forum discussion.
  • 10. Seto, K.C., et al. 2011. Urban land teleconnections and sustainability. Proceedings of the National Academy of Sciences, 109(20), 7687–7692.
  • 11. Smith, A. 2010. Vegetation height estimation using remote sensing data. Journal of Photogrammetry and Remote Sensing, 65(6), 570–590.
  • 12. Taylor, S.D., et al. 2017. Assessing vegetation structure using LiDAR. Remote Sensing of Environment, 186, 217–234.
  • 13. Tucker, C.J. 1979. Red and photographic infra red linear combinations for monitoring vegetation. Remote Sensing of Environment, 8(2), 127–150.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-79645f08-e2a2-41be-bc4f-5adf768f039f
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.