Forest fire detection in Far East Russian region with NOAA AVHRR images

Kazuhiko Fujiwara, Keiji Kushida, Masami Fukuda, Jun-Ichi Kudoh

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

We report a study of forest fire detection around Yakutsk with NOAA AVHRR images. The purpose of the study is verifying that a method using three-dimensional histogram is good with high accuracy for forest fire detection than previous method using thresholds and verifying forest fire detection for independent area. In our method, we used the forest fire information that we stored to train three-dimensional histogram in far east Russia from 1996 to 2000. Our method showed better accuracy than the previous one in different area from training area. At non-fire points (e.g., high-brightness clouds) the previous method failed sometimes, but our method judged correctly. For this reason, our method can detect forest fire with better accuracy than the previous one and may be applied to other geographical areas.

Original languageEnglish
Pages2054-2056
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)
CountryCanada
CityToronto, Ont.
Period02/6/2402/6/28

ASJC Scopus subject areas

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

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