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Forest Fire Risk Zonation Mapping Using GIS Techniques

Forest Fire Risk Zonation Mapping Using GIS Techniquesaf Amit Kumar Verma
Bag om Forest Fire Risk Zonation Mapping Using GIS Techniques

In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the parameters according to their sensitivity to fire or their fire-inducing capability. Two categories of fire sensitive regions such as most sensitive and sensitive fire intensity zones were identified. The result shows that almost 20% of the study area was predicted to be under most sensitive. The evolved GIS-based forest fire risk model of the study area was found to be in strong agreement with actual fire-affected sites. Such study can help in preparing base map for preparatory planning for forest fire management for a particular area.

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  • Sprog:
  • Engelsk
  • ISBN:
  • 9786206150503
  • Indbinding:
  • Paperback
  • Sideantal:
  • 88
  • Udgivet:
  • 13. juni 2023
  • Størrelse:
  • 150x6x220 mm.
  • Vægt:
  • 149 g.
  • BLACK WEEK
Leveringstid: 2-3 uger
Forventet levering: 14. december 2024

Beskrivelse af Forest Fire Risk Zonation Mapping Using GIS Techniques

In this book we have provided information on how to identify forest fire risk zones by analyzing historical fire incidences along with influencive biophysical parameters responsible for forest fire for a particular landscape using GIS techniques. Forest fire risk zones were delineated by assigning subjective weights to the classes of all the parameters according to their sensitivity to fire or their fire-inducing capability. Two categories of fire sensitive regions such as most sensitive and sensitive fire intensity zones were identified. The result shows that almost 20% of the study area was predicted to be under most sensitive. The evolved GIS-based forest fire risk model of the study area was found to be in strong agreement with actual fire-affected sites. Such study can help in preparing base map for preparatory planning for forest fire management for a particular area.

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