O. V. Brovkina, F. Zemek, “Risk prediction of forest fires based on the Remote sensing data”, Tr. SPIIRAN, 29 (2013), 170

Trudy SPIIRAN

RUS ENG

JOURNALS PEOPLE ORGANISATIONS CONFERENCES SEMINARS VIDEO LIBRARY PACKAGE AMSBIB

JavaScript is disabled in your browser. Please switch it on to enable full functionality of the website

	General information
	Latest issue
	Archive

	Search papers
	Search references

	RSS
	Latest issue
	Current issues
	Archive issues
	What is RSS

Informatics and Automation:
Year:
Volume:
Issue:
Page:
	Find

Personal entry:
Login:
Password:
	Save password
	Enter
	Forgotten password?
	Register

Trudy SPIIRAN, 2013, Issue 29, Pages 170–179 (Mi trspy641)

Risk prediction of forest fires based on the Remote sensing data

O. V. Brovkina^ab, F. Zemek^c

^a Mozhaiskiy Space Military Academy, St. Petersburg
^b St. Petersburg Institute for Informatics and Automation of RAS
^c Global Change Research Centre Academy of Science Czech Republic

Full-text PDF (1746 kB)

References:

PDF

HTML

Abstract: A combined approach based on the remote sensing data treatment is proposed for the fire prevention activities planning, forestry disturbances elimination and risk prediction of forest fires.

Keywords: remote sensing data, automatic and interactive treatment of imagery, fire prevention activities.

Received: 28.04.2013

Document Type: Article

UDC: 528.854, 614.849

Language: Russian

Citation: O. V. Brovkina, F. Zemek, “Risk prediction of forest fires based on the Remote sensing data”, Tr. SPIIRAN, 29 (2013), 170–179

Citation in format AMSBIB

\Bibitem{BroZem13}

\by O.~V.~Brovkina, F.~Zemek

\paper Risk prediction of forest fires based on the Remote sensing data

\jour Tr. SPIIRAN

\yr 2013

\vol 29

\pages 170--179

\mathnet{http://mi.mathnet.ru/trspy641}

Linking options:

https://www.mathnet.ru/eng/trspy641

https://www.mathnet.ru/eng/trspy/v29/p170

Citing articles in Google Scholar: Russian citations, English citations
Related articles in Google Scholar: Russian articles, English articles

Statistics & downloads:
Abstract page:	128
Full-text PDF :	52
References:	32
First page:	1

Что такое QR-код?

Registration to the website

Logotypes