Joint processing of RS and WWLLN data for forest fire danger estimation: New concept

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	https://doi.org/10.1117/12.2241853
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

Access to Document

10.1117/12.2241853

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Cite this

@inproceedings{e3497030a5d64395ad3f5503e6de4ece,

title = "Joint processing of RS and WWLLN data for forest fire danger estimation: New concept",

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.",

keywords = "forest fire danger, GIS, lightning activity, prediction, remote sensing, WWLLN",

author = "Baranovskiy, {Nikolay V.} and Krechetova, {Svetlana Yu} and Belikova, {Marina Yu} and Kocheeva, {Nina A.} and Yankovich, {Elena P.}",

year = "2016",

doi = "10.1117/12.2241853",

language = "English",

volume = "10001",

booktitle = "Remote Sensing of Clouds and the Atmosphere XXI",

publisher = "SPIE",

address = "United States",

note = "Remote Sensing of Clouds and the Atmosphere XXI ; Conference date: 28-09-2016 Through 29-09-2016",

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T1 - Joint processing of RS and WWLLN data for forest fire danger estimation

T2 - Remote Sensing of Clouds and the Atmosphere XXI

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

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DO - 10.1117/12.2241853

M3 - Conference contribution

AN - SCOPUS:85010716226

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BT - Remote Sensing of Clouds and the Atmosphere XXI

PB - SPIE

Y2 - 28 September 2016 through 29 September 2016

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