Vegetation indices for analysing environmental degradation

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There is growing concern about environmental planning strategies that mitigate the degradation of natural areas. A survey of current land use, which is necessary for planning purposes, can be obtained using multispectral data provided by remote sensing satellites. The study therefore takes place in the area of influence of the Paratibe River in the state of Pernambuco, and aims to carry out a spatio-temporal analysis of the lagoon based on remote sensing techniques. Three biophysical variables were used in the evaluation: the normalised difference vegetation index (NDVI) to assess the chlorophyll content of the vegetation, the soil-adjusted vegetation index (SAVI) and the leaf area index (LAI) to understand the dynamics of the area. The study showed that the vegetation with considerable chlorophyll content over two decades showed a considerable decrease in the areas around Mata do Janga, however within the reserve the vegetation increased between 2005 and 2011, due to the area's conservation strategies. SAVI and IAF, on the other hand, showed a decrease as they are parameters linked to vegetation structure.

Autorentext

The main author is an EBTT professor of Environmental Engineering at the Federal Institute of Education, Science and Technology of Maranhão (IFMA). She is currently studying for a PhD in Development and Environment at PRODEMA-UFPE. She has experience in Remote Sensing, Hydrology and Climatology.

Weitere Informationen

  • Allgemeine Informationen
    • Sprache Englisch
    • Anzahl Seiten 52
    • Herausgeber Our Knowledge Publishing
    • Gewicht 96g
    • Untertitel Case study on the Paratibe River, Paulista-PE
    • Autor Elisabeth Regina Alves C. Silva , José Gustavo Da Silva Melo , Luiz Carlos Da Silva
    • Titel Vegetation indices for analysing environmental degradation
    • Veröffentlichung 17.07.2024
    • ISBN 6207798724
    • Format Kartonierter Einband
    • EAN 9786207798728
    • Jahr 2024
    • Größe H220mm x B150mm x T4mm
    • GTIN 09786207798728

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