Predicting forest fire using multispectral satellite measurements in Nepal

Abstract 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 (

• Publication year

  2021

• Venue

  Remote Sensing Applications: Society and Environment

• Publication date

  2021-05-19

• Fields of study

  Geography, Environmental Science

• Identifiers
  DOI 10.1016/J.RSASE.2021.100539
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

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