Geoinformation system for prediction of forest fire danger caused by solar radiation using remote sensing data

Abstract

This article reviews the project of subsystem that reflects the Earth remote sensing data from the space in order to monitor the forest fire danger, caused by the focused solar radiation effect. This subsystem is based on the use of sensing data from the MODIS instrument aboard the Terra satellite. We consider the Timiryazevsky Forestry of Tomsk region to be a typical territory of the boreal forest zone. To estimate the forest fire danger level, we use an original method to classify the forest areas according to their characteristics (the ground mensuration data) and the main meteorological parameters, namely, the cloud cover on this territory, obtained from the MODIS satellite data.

Original language	English
Title of host publication	Remote Sensing of Clouds and the Atmosphere XX
Publisher	SPIE
Volume	9640
ISBN (Electronic)	9781628418507
DOIs	https://doi.org/10.1117/12.2193864
Publication status	Published - 2015
Event	Remote Sensing of Clouds and the Atmosphere XX - Toulouse, France Duration: 23 Sep 2015 → 24 Sep 2015

Conference

Conference	Remote Sensing of Clouds and the Atmosphere XX
Country	France
City	Toulouse
Period	23.9.15 → 24.9.15

Keywords

cloud
danger
Forest fire
geoinformation system
MODIS
solar radiation

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

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10.1117/12.2193864

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Cite this

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title = "Geoinformation system for prediction of forest fire danger caused by solar radiation using remote sensing data",

abstract = "This article reviews the project of subsystem that reflects the Earth remote sensing data from the space in order to monitor the forest fire danger, caused by the focused solar radiation effect. This subsystem is based on the use of sensing data from the MODIS instrument aboard the Terra satellite. We consider the Timiryazevsky Forestry of Tomsk region to be a typical territory of the boreal forest zone. To estimate the forest fire danger level, we use an original method to classify the forest areas according to their characteristics (the ground mensuration data) and the main meteorological parameters, namely, the cloud cover on this territory, obtained from the MODIS satellite data.",

keywords = "cloud, danger, Forest fire, geoinformation system, MODIS, solar radiation",

author = "Baranovskiy, {Nikolay V.} and Yankovich, {Elena P.}",

year = "2015",

doi = "10.1117/12.2193864",

language = "English",

volume = "9640",

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

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address = "United States",

note = "Remote Sensing of Clouds and the Atmosphere XX ; Conference date: 23-09-2015 Through 24-09-2015",

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AU - Baranovskiy, Nikolay V.

AU - Yankovich, Elena P.

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AB - This article reviews the project of subsystem that reflects the Earth remote sensing data from the space in order to monitor the forest fire danger, caused by the focused solar radiation effect. This subsystem is based on the use of sensing data from the MODIS instrument aboard the Terra satellite. We consider the Timiryazevsky Forestry of Tomsk region to be a typical territory of the boreal forest zone. To estimate the forest fire danger level, we use an original method to classify the forest areas according to their characteristics (the ground mensuration data) and the main meteorological parameters, namely, the cloud cover on this territory, obtained from the MODIS satellite data.

KW - cloud

KW - danger

KW - Forest fire

KW - geoinformation system

KW - MODIS

KW - solar radiation

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