UDC: 
DOI: 
10.22389/0016-7126-2019-943-1-102-109
1 Gizatullin A.T.
2 Alekseenko N.A.
3 Moiseeva V.S.
Year: 
№: 
943
Pages: 
102-109

Lomonosov Moscow State University (MSU)

1, 

Institute of Geography RAS

2, 

ScanEx Engineering-and-Technology Centre

3, 
Abstract:
This article is devoted to the development of an algorithm for the preventive assessment of the fire danger of natural areas using remote sensing data (the preventive natural fire danger assessment algorithm). The problems of the current state of the remote sensing materials use for fires researches as a justification for the need of the algorithm are considered. A review of existing methods and algorithms of natural fire danger assessment is done. The algorithm development includes description of the general structure and the content filling process of different algorithm components. The algorithm is a stages sequence of remote sensing data processing and analysis in terms of fire danger. As a result of algorithm, the fire danger assessment of the observed territory is formed. A special feature of the algorithm is its preventiveness, universality (applicability for any territory), practical automatability (the ability to represent in the form of a program code for the processing of RSD) and flexibility (the ability to add and branch the sequence). In the end, general conclusions and recommendations on the use of the algorithm are given.
The work was carried out within the framework of the State Code “Geoinformation-cartographic analysis and remote monitoring of the interaction between nature and society”.
References: 
1.   Bardakov N. N., Rastoskuev V. V. Obzor sushchestvujushchih metodik vyyavleniya pozharov po sputnikovym snimkam. Pod red. A. M. Sadovskogo.Sb. trudov XIII Konferentsii molodyh uchjonyh «Fundamental'nye i prikladnye kosmicheskie issledovaniya» , Moskva: IKI RAN, 2016, pp. 5–15.
2.   Volokitina A. V., Sofronov M. A. Klassifikatsiya i kartografirovanie rastitel'nyh gorjuchih materialov. Novosibirsk: Izd-vo SO RAN, 2002, 314 p.
3.   Kashkin V.B., Suhinin A.I. Distancionnoe zondirovanie Zemli iz kosmosa. Cifrovaya obrabotka izobrazhenij: Uchebnoe posobie. M.: Logos, 2001, 264 p.
4.   Chub I. A., Turkin I. B. Sovershenstvovanie metodiki otsenki riska vozniknoveniya chrezvychajnyh situatsij prirodnogo haraktera v lesnyh jekosistemah. Zbіrka naukovih prats' «Problemi nadzvichajnih situatsіj», 2005, no. 2, pp. 3–11.
5.   Chéret V., Denux J. P., Sampara W. et al. (2007) Time series analysis of remote sensing to calculate and map operational indicators of wildfire risk. Towards an operational use of remote sensing in forest fire management: Proceedings of the 6th International Workshop of The EARSeL Special Interest Group on Forest Fires. Thesalonniki, pp. 143-148.
6.   Denux J. P., Cheret V. (2007) Mapping wildfire danger at regional scale with an index model integrating coarse spatial resolution remote sensing data. Journal of Geophysical Research, no. 112, 12 p.
7.   Stergiopoulos I., Mallinis G., Gitas I. Z. (2007) Fuel type mapping using medium resolution imagery and GIS, considering radiometric, spatial and spectral enhancements of the original dataset. Towards an operational use of remote sensing in forest fire management: Proceedings of the 6th International Workshop of The EARSeL Special Interest Group on Forest Fires. Thesalonniki, pp. 107-110.
Citation:
Gizatullin A.T., 
Alekseenko N.A., 
Moiseeva V.S., 
(2019) Development of the preventive natural fire danger assessment algorithm using remote sensing data. Geodesy and cartography = Geodezia i Kartografia, 80(1), pp. 102-109. (In Russian). DOI: 10.22389/0016-7126-2019-943-1-102-109
Publication History
Received: 25.07.2018
Accepted: 14.11.2018
Published: 20.02.2019

Content

2019 January DOI:
10.22389/0016-7126-2019-943-1

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