Abstract
The purpose of this study is the use of remote sensing data on vegetative index NDVI (Normalized Difference Vegetation Index) for predicting the spread of grassfires in the example of the Jewish Autonomous Region (JAR). Calculation of specific daily indicators of climatic-caused fire hazard is carried out according to the method of V.G. Nesterov. To calculate the spread speed of the grassfire, the MacArthur method for meadow areas was used. Pictures of the MOD09GQK product in the red and near infrared channels were used to calculate the vegetative index NDVI, which is a quantitative index of photosynthetically active biomass.
| Original language | English |
|---|---|
| Title of host publication | 23rd International Symposium on Atmospheric and Ocean Optics |
| Subtitle of host publication | Atmospheric Physics |
| Editors | Gennadii G. Matvienko, Oleg A. Romanovskii |
| Publisher | SPIE |
| Volume | 10466 |
| ISBN (Electronic) | 9781510614130 |
| DOIs | |
| Publication status | Published - 1 Jan 2017 |
| Event | 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Irkutsk, Russian Federation Duration: 3 Jul 2017 → 7 Jul 2017 |
Conference
| Conference | 23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics |
|---|---|
| Country | Russian Federation |
| City | Irkutsk |
| Period | 3.7.17 → 7.7.17 |
Fingerprint
Keywords
- Danger
- Grassland fire
- NDVI
- Remote sensing
- Simulation
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Condensed Matter Physics
- Computer Science Applications
- Applied Mathematics
- Electrical and Electronic Engineering
Cite this
Grassland fire spread simulation using NDVI data. / Baranovskiy, Nikolay V.; Kogan, Rita M.; Glagolev, Vladimir A.; Zubareva, Anna M.
23rd International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics. ed. / Gennadii G. Matvienko; Oleg A. Romanovskii. Vol. 10466 SPIE, 2017. 104663B.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Grassland fire spread simulation using NDVI data
AU - Baranovskiy, Nikolay V.
AU - Kogan, Rita M.
AU - Glagolev, Vladimir A.
AU - Zubareva, Anna M.
PY - 2017/1/1
Y1 - 2017/1/1
N2 - The purpose of this study is the use of remote sensing data on vegetative index NDVI (Normalized Difference Vegetation Index) for predicting the spread of grassfires in the example of the Jewish Autonomous Region (JAR). Calculation of specific daily indicators of climatic-caused fire hazard is carried out according to the method of V.G. Nesterov. To calculate the spread speed of the grassfire, the MacArthur method for meadow areas was used. Pictures of the MOD09GQK product in the red and near infrared channels were used to calculate the vegetative index NDVI, which is a quantitative index of photosynthetically active biomass.
AB - The purpose of this study is the use of remote sensing data on vegetative index NDVI (Normalized Difference Vegetation Index) for predicting the spread of grassfires in the example of the Jewish Autonomous Region (JAR). Calculation of specific daily indicators of climatic-caused fire hazard is carried out according to the method of V.G. Nesterov. To calculate the spread speed of the grassfire, the MacArthur method for meadow areas was used. Pictures of the MOD09GQK product in the red and near infrared channels were used to calculate the vegetative index NDVI, which is a quantitative index of photosynthetically active biomass.
KW - Danger
KW - Grassland fire
KW - NDVI
KW - Remote sensing
KW - Simulation
UR - http://www.scopus.com/inward/record.url?scp=85043326611&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85043326611&partnerID=8YFLogxK
U2 - 10.1117/12.2286782
DO - 10.1117/12.2286782
M3 - Conference contribution
VL - 10466
BT - 23rd International Symposium on Atmospheric and Ocean Optics
A2 - Matvienko, Gennadii G.
A2 - Romanovskii, Oleg A.
PB - SPIE
ER -