A New Approach for More Effective Fire Detection Method Using NOAA AVHRR Images

Abstract

Forest Fire has serious economic implications: destruction of habitats, forest damage, costs of fire fighting and so on. Nowadays it is a very important and sensitive issue in Russia and Southeast Asian region since a large scale fire occurs frequently. A huge amount of exhaustion of carbon dioxide by the forest fires is thought to be a cause of global warming. A wide range monitoring by remote sensing satellite is indispensable for the grasp of the fire occurrence situation. The Advanced Very High Resolution Radiometer (AVHRR) flown on the NOAA satellite series is one of the best systems for fire monitoring due to the combination of a very good temporal resolution of several images a day. The forest fire analysis using this weather satellite (NOAA) has been done by various researchers. However, a lot of problems have been left and existing fire detection methods are insufficient. Moreover, a real time fire detection method is necessary for early warning and early detection of fire for fire fighting. In this work, a new fire detection method using NOAA AVHRR images have been constructed.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA449890

Entities

People

  • Jun-ich Kudoh
  • Kazi A. Kalpoma
  • Yoshiaki Haramoto

Organizations

  • Tohoku University

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Abstracts
  • Accuracy
  • Algorithms
  • Detection
  • Earth Sciences
  • Far East
  • Fires
  • Forest Fires
  • Geometry
  • Graphs
  • Histograms
  • Information Science
  • Remote Sensing
  • Thermal Radiation
  • Three Dimensional
  • Time Series Analysis
  • Two Dimensional

Fields of Study

  • Environmental science

Readers

  • Atmospheric Science/Meteorology
  • Fire Suppression Systems Design.
  • Strategic Security Studies

Technology Areas

  • Space