Abstract
Present work is devoted to the description of information and algorithmic support for creation of a program complex for an assessment of forest fire danger. The assessment of forest fire danger is made on the basis of algorithm for classification of the forest territory by vegetation conditions and the modified Nesterov's index. Meteorological data (air temperature and cloudiness) and also the data on thermal anomalies received from satellite measurements by MODIS spectroradiometer for the territory of the Timiryazevskiy forestry of the Tomsk region are used as information on the Environment state.
Original language | English |
---|---|
Title of host publication | 22nd International Symposium on Atmospheric and Ocean Optics |
Subtitle of host publication | Atmospheric Physics |
Publisher | SPIE |
Volume | 10035 |
ISBN (Electronic) | 9781510605114 |
DOIs | |
Publication status | Published - 2016 |
Event | 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation Duration: 30 Jun 2016 → 3 Jul 2016 |
Conference
Conference | 22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics |
---|---|
Country | Russian Federation |
City | Tomsk |
Period | 30.6.16 → 3.7.16 |
Keywords
- Assessment
- Danger
- Forest fire
- MODIS
- Remote sensing
- Sunlight
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering