Forest fire detection in 2001 using three-dimensional histogram

Kazuhiko Fujiwara, Jun Ichi Kudoh

Research output: Contribution to conferencePaperpeer-review

7 Citations (Scopus)

Abstract

We have developed a fire detection method for the analysis of NOAA AVHRR data. The three-dimensional histogram technique is a method of displaying the brightness of the three different channels of AVHRR images. We assigned the X, Y and Z-axes of the three-dimensional space to the brightness of three different channels respectively. In this study the three channels are CH1, CH3, CH5. We stored the fire information from 1996 to 2000 into three-dimensional histogram using previous method which is used by threshold. The target is Far East Russia. The AVHRR images in 2001 are applied to the estimation of the this method in order to detect the unknown fire points. This result is better than previous one. Especially the error detection of the cloud as fire are decrease.

Original languageEnglish
Pages2057-2059
Number of pages3
Publication statusPublished - 2002 Jan 1
Event2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002) - Toronto, Ont., Canada
Duration: 2002 Jun 242002 Jun 28

Other

Other2002 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2002)
Country/TerritoryCanada
CityToronto, Ont.
Period02/6/2402/6/28

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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