Abstract
The present article describes a new concept of lightning-caused forest fire danger using a probabilistic criterion. The assessment of forest fire danger is made on the basis of the algorithm that classifies the forest territory by vegetation conditions. Lightning activity is processed by the MODIS spectroradiometer according to the World Wide Lightning Location Network data and remote sensing data for the Timiryazevskiy forestry in the Tomsk Region. The cluster analysis of the WWLLN and MOD06-L2 product data are used in the present paper.
| Original language | English |
|---|---|
| Title of host publication | Remote Sensing of Clouds and the Atmosphere XXI |
| Publisher | SPIE |
| Volume | 10001 |
| ISBN (Electronic) | 9781510604063 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | Remote Sensing of Clouds and the Atmosphere XXI - Edinburgh, United Kingdom Duration: 28 Sep 2016 → 29 Sep 2016 |
Conference
| Conference | Remote Sensing of Clouds and the Atmosphere XXI |
|---|---|
| Country | United Kingdom |
| City | Edinburgh |
| Period | 28.9.16 → 29.9.16 |
Keywords
- forest fire danger
- GIS
- lightning activity
- prediction
- remote sensing
- WWLLN
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
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Cite this
Baranovskiy, N. V., Krechetova, S. Y., Belikova, M. Y., Kocheeva, N. A., & Yankovich, E. P. (2016). Joint processing of RS and WWLLN data for forest fire danger estimation: New concept. In Remote Sensing of Clouds and the Atmosphere XXI (Vol. 10001). [1000113] SPIE. https://doi.org/10.1117/12.2241853