Predicting forest fire using multispectral satellite measurements in Nepal

Predicting forest fire using multispectral satellite measurements in Nepal

The present study examined the geospatial datasets concerning fire points, topography, vegetation types, tree cover percent, ecological zone, and climate to understand the prospects of forest fire in Nepal. The GIS-based modeling approaches in association with multispectral satellite-derived data we...

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Veröffentlicht in:Remote sensing applications 2021-08, Vol.23, p.100539, Article 100539
Hauptverfasser: Qadir, Abdul, Talukdar, Nazimur Rahman, Uddin, Md Meraj, Ahmad, Firoz, Goparaju, Laxmi
Format: Artikel
Sprache:eng
Schlagworte:
Forest fire
GIS mapping
Nepal
Predictive model
Remote sensing
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Zusammenfassung:The present study examined the geospatial datasets concerning fire points, topography, vegetation types, tree cover percent, ecological zone, and climate to understand the prospects of forest fire in Nepal. The GIS-based modeling approaches in association with multispectral satellite-derived data were used for future fire prediction in villages. The analysis highlights the vegetation types such as Tropical lowland, broadleaved, evergreen forests (
ISSN:2352-9385
2352-9385
DOI:10.1016/j.rsase.2021.100539