A new algorithm for forest fire detection method with statistical analysis using NOAA AVHRR images

Kazi A. Kalpoma, Jun Ichi Kudoh

研究成果: Article査読

15 被引用数 (Scopus)

抄録

Various researchers have carried out forest fire analysis using NOAA satellite images. There are several methods of doing this, and most can detect a fire. However, many false fires were also detected, and, in some cases, actual fires were missed. We analysed four satellite-based fire detection methods using data from AVHRR of NOAA-16 over a period of three to six months for the Sakhalin region and the Japan region. Considering the fundamental differences, problems, and effectiveness of these methods, we have constructed an improved fire detection method with statistical analysis. Our method has reduced false fire detection significantly, as well as detected actual fire with accuracy.

本文言語English
ページ(範囲)3867-3880
ページ数14
ジャーナルInternational Journal of Remote Sensing
27
18
DOI
出版ステータスPublished - 2006 9月 20

ASJC Scopus subject areas

  • 地球惑星科学(全般)

フィンガープリント

「A new algorithm for forest fire detection method with statistical analysis using NOAA AVHRR images」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル