The long-term analysis of forest fire in the Russian Far East

Koichi Kawano, Jun-Ichi Kudoh, Masanori Nakano

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Forest fire occurs in the Russian Far East in summer of every year, and it makes many forest resources lost and accelerates global warming further. Because a large-scale forest fire occurs in this region at intervals of several years, it is necessary to develop the method for estimating the burnt down area accurately. In this paper, we present a time-series analysis method for detecting the forest fire from NOAA AVHRR images. This method is composed of two parts. One is hot spot detection, and another is a geometrical correction. The hot spot detection is based on two-dimensional histogram method. The geometrical correction is based on the GCP correction. A feature coastline in the Far Eastern Russian region was used to correct the gap between the image and the ground control point (GCP). It was corrected by the projective transformation because it was caused from the attitude of the satellite. This correction is automatically done and is processed within tens of seconds per scene. We used 1185 scenes from May to October from 1994 to 2003. To show the effect of the correction of the GCP, we compared the result of the correction by the GCP with that of no correction. We successfully processed all scenes and created fire maps. And we estimated the burnt down area of each year. As a result, we clarified that there were quite a lot of burnt down areas compared with other years in 1998 and 2003.

Original languageEnglish
Title of host publication25th Anniversary IGARSS 2005
Subtitle of host publicationIEEE International Geoscience and Remote Sensing Symposium
Pages1800-1802
Number of pages3
DOIs
Publication statusPublished - 2005 Dec 1
Event2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005 - Seoul, Korea, Republic of
Duration: 2005 Jul 252005 Jul 29

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)
Volume3

Other

Other2005 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2005
CountryKorea, Republic of
CitySeoul
Period05/7/2505/7/29

ASJC Scopus subject areas

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

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    Kawano, K., Kudoh, J-I., & Nakano, M. (2005). The long-term analysis of forest fire in the Russian Far East. In 25th Anniversary IGARSS 2005: IEEE International Geoscience and Remote Sensing Symposium (pp. 1800-1802). [1526354] (International Geoscience and Remote Sensing Symposium (IGARSS); Vol. 3). https://doi.org/10.1109/IGARSS.2005.1526354