DOI: 10.24057/2414-9179-2017-3-23-62-70

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About the Authors

A. V. Kaverin

National Research Mordovian State University
Russian Federation
Faculty of Geography; Saransk, Bolshevistskaya st, 68, 430005

E. S. Vdovin

State Governmental institution of the Republic of Mordovia “Saransk territorial forestry”
Russian Federation
Saransk, Chernyshevsky lane, 430005


The damage caused by extreme weather events in some years exceeds the amount of logging even in areas of intensive forest management. So, on the example of the studied object on whose territory a windfall formed as a result of a squally wind, it has been shown as a rapid identification and assessment of damaged forest areas allows one to carry out effective measures for forest protection and/or restoration. In its turn, the untimely information on negative changes in the forests may lead to a decrease in efficiency of sanitary and preventive measures and cause subsequent outbreaks of insect pests and increased fire danger.

The aim of our work is the mapping of the spatial distribution of forest windfall sites on the territory of Staroshaigovskoe district forestry of Saransk territorial forestry. As the source of information we used not only remote sensing data but also the results of the ground surveys of forest pest damaged areas. IsoData method was used for the unsupervised classification of images.

Only in the study area the damage was nearly 300 ha of stands, totally lost as a result of windfalls, which makes 1.5% of the district forestry area. Analysis of the features of spatial distribution of windfalls in the study area has been made, and based on actual source data a map has been compiled showing the distribution of the windfall formed on lands of the forest Fund as a result of a squally wind on the territory of the Republic of Mordovia on 21 June 2015, and the economic damages to forestry of the studied object calculated. A selective estimation of species composition and age structure of stands affected by forest windfalls has been made. 


forest windfall, mapping, remote sensing


  1. Vdovin E.S., Kaverin A.V. K voprosu optimalnoy lesistosti na territorii Mordovii [To the question of optimal forest on the territory of Mordovia] Ekologiya i prirodopolzovanie: prikladnyie aspektyi: materialyi V Vserossiyskoy nauchno-prakticheskoy konferentsii s mezhdunarodnyim uchastiem, Ufa: BSPU, 2015, pp. 59–63.
  2. Geografiya Mordovskoy ASSR [Geography of Mordovia Republic], Saransk: Publishing House of Mordovian state University, 1983, 304 p.
  3. Kurbanov E.A.,Vorob’jov O.N., Nezamaev S.A. et al. Tematicheskoe kartirovanie i stratifikatsiya lesov Mariyskogo Zavolzhya po sputnikovyim snimkam Landsat [Thematic mapping and stratification of forests in Mari Zavolsgie by Landsat satellite images], Vestnik Povolzhskogo gosudarstvennogo tehnologicheskogo universiteta. Seriya “Les. Ekologiya. Prirodopolzovanie”, 2013, No 3, pp. 82–92.
  4. Manuhov V.F., Varfolomeeva N.A., Varfolomeev A.F. Ispolzovanie kosmicheskoy informatsii v protsesse uchebno-issledovatelskoy deyatelnosti studentov [The use of space-based information in the process of teaching and research activities of students] Geodeziya i kartografiya [Geodesy and cartography]. 2009, No 7, Pp. 44–48.
  5. Rosyaikina E.A., Ivlieva N.G. Obrabotka dannyih distantsionnogo zondirovaniya zemli v gis-pakete Arcgis [Data processing of remote sensing in a GIS package Arcgis], Ogarevonline, Saransk, 2015, No 4, pp. 1–9. URL:
  6. Phadeev A.N. Metodika ocenki sposobnosti lesnikh nasazhdenii k deponirovaniu ugleroda [The method of estimating the ability of forests to carbon sequestration], Vestnik MarGTU, 2009, No 1, pp. 82–92.
  7. Shihov A.N. Ocenka posledstvii stihiinikh prirodnikh yavlenii dlya lesnikh resursov Permskogo kraya po mnogoletnim ryadam dannikh kosmicheskoi s’yomki [Assessment of consequences of the spontaneous natural phenomena for forest resources of Perm Krai on long-term sequences of data of space shooting] Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2014, No 1, pp. 21–29.

For citation: Kaverin A.V., Vdovin E.S. THE USE OF LANDSAT SATELLITE IMAGES FOR ECONOMIC DAMAGE ASSESSMENT TO FORESTRY OF MORDOVIA DUE TO A FOREST WINDFALL. Proceedings of the International conference “InterCarto. InterGIS”. 2017;23(3):62–70 DOI: 10.24057/2414-9179-2017-3-23-62-70 (in Russian)