Forest fire smoke analysis in far East Russia

Koichi Kawano, Jun-Ichi Kudoh

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

Forest fires make large quantities of forest resources lost, and promote global warming. In Far East Russia, since forest fires occur every year, they have had a great influence on the earth environment. In this paper, we present a three-dimensional histogram method for detecting smoke of forest fires from NOAA AVHRR images. We used total 2,450 scenes from 2001 to 2003 and chose 378 scenes for experiments. The proposed method consists of the following two steps: create the three dimensional histogram from smoke pixels, detect smoke pixels from unknown images. We used 241 scenes of Zeya and Baikal regions to create the three dimensional histogram and 137 scenes of Sakhalin region for evaluation. There are ten combinations of the three dimensional histogram since the AVHRR has five channels. We confirmed that the proposed method can clearly distinguish smoke from clouds by comparing the smoke with the hot spots of forest fires. The combination of the channel-1, -2, and -4 is the best combination for detecting smoke pixels.

Original languageEnglish
Pages4462-4464
Number of pages3
Publication statusPublished - 2004 Dec 1
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: 2004 Sep 202004 Sep 24

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
CountryUnited States
CityAnchorage, AK
Period04/9/2004/9/24

Keywords

  • AVHRR
  • Component
  • Fire smoke

ASJC Scopus subject areas

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

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