書誌事項
- タイトル別名
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- Development of a SGLI Adaptable Active Fire Detection Algorithm using NIR, SWIR and TIR Observation Channels
- キンセキガイ ・ タンハチョウ セキガイ ・ ネツ セキガイ カンソク チャンネル オ リヨウ シタ SGLI ムケ シンリン カサイ ケンチ アルゴリズム ノ カイハツ
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<p>We describe a forest fire detection algorithm adaptable to the Second-generation GLobal Imager (SGLI) sensor which is on board the upcoming GCOM-C satellite. Since the SGLI lacks a mid-infrared 4μm ‘fire channel' which is mainly used for existing satellite-based active fire observations, our fire detection approach uses near infrared and shortwave infrared reflectance channels and a thermal infrared channel which are equipped on the SGLI. Some threshold tests for fire pixels detection are made by a methodology based on the multi-spectral analysis for the reflectance channels, and based on brightness temperature difference between a fire pixel and its non-fire background for the thermal channel. In this study, we use the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) data to simulate the pre-launch SGLI data and to create truth fire data. We performed a detection accuracy evaluation of our algorithm using 26 ASTER scenes. The correct detection rate of our algorithm against the truth data was approximately 14[%]. The reliable rate which is defined as a ratio of the correct detected pixels to the total detected pixels was approximately 98[%]. The fire size which is accurately detectable by our algorithm was approximately 185[m] square.</p>
収録刊行物
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- 写真測量とリモートセンシング
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写真測量とリモートセンシング 56 (6), 307-321, 2017
一般社団法人 日本写真測量学会
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詳細情報 詳細情報について
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- CRID
- 1390564238058355584
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- NII論文ID
- 130007541927
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- NII書誌ID
- AN00111450
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- ISSN
- 18839061
- 02855844
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- NDL書誌ID
- 028792069
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- NDL
- Crossref
- CiNii Articles
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- 使用不可