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 |
Fingerprint
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
Cite this
Information-algorithmic basis of a program complex for forest fire danger estimation. / Engel, Marina V.; Belov, Vladimir V.; Baranovskiy, Nikolay V.; Yankovich, Elena P.
22nd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. Vol. 10035 SPIE, 2016. 100353Z.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Information-algorithmic basis of a program complex for forest fire danger estimation
AU - Engel, Marina V.
AU - Belov, Vladimir V.
AU - Baranovskiy, Nikolay V.
AU - Yankovich, Elena P.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - Assessment
KW - Danger
KW - Forest fire
KW - MODIS
KW - Remote sensing
KW - Sunlight
UR - http://www.scopus.com/inward/record.url?scp=85007047628&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85007047628&partnerID=8YFLogxK
U2 - 10.1117/12.2249125
DO - 10.1117/12.2249125
M3 - Conference contribution
VL - 10035
BT - 22nd International Symposium on Atmospheric and Ocean Optics
PB - SPIE
ER -