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 |
Fingerprint
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
Cite this
Joint processing of RS and WWLLN data for forest fire danger estimation : New concept. / Baranovskiy, Nikolay V.; Krechetova, Svetlana Yu; Belikova, Marina Yu; Kocheeva, Nina A.; Yankovich, Elena P.
Remote Sensing of Clouds and the Atmosphere XXI. Vol. 10001 SPIE, 2016. 1000113.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Joint processing of RS and WWLLN data for forest fire danger estimation
T2 - New concept
AU - Baranovskiy, Nikolay V.
AU - Krechetova, Svetlana Yu
AU - Belikova, Marina Yu
AU - Kocheeva, Nina A.
AU - Yankovich, Elena P.
PY - 2016
Y1 - 2016
N2 - 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.
AB - 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.
KW - forest fire danger
KW - GIS
KW - lightning activity
KW - prediction
KW - remote sensing
KW - WWLLN
UR - http://www.scopus.com/inward/record.url?scp=85010716226&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85010716226&partnerID=8YFLogxK
U2 - 10.1117/12.2241853
DO - 10.1117/12.2241853
M3 - Conference contribution
AN - SCOPUS:85010716226
VL - 10001
BT - Remote Sensing of Clouds and the Atmosphere XXI
PB - SPIE
ER -