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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2023, Vol. 20, No. 4, pp. 175-186

Estimation of defoliation features in dark coniferous tree stands after the impact of Siberian silk moth according to remote data

E.I. Ponomarev 1, 2, 3 , N.D. Yakimov 1, 3 , P.D. Tretyakov 1, 3 , S.M. Sultson 3 
1 Krasnoyarsk Science Center SB RAS, Krasnoyarsk, Russia
2 Siberian Federal University, Krasnoyarsk, Russia
3 Reshetnev Siberian State University of Science and Technology, Krasnoyarsk, Russia
Accepted: 25.07.2023
DOI: 10.21046/2070-7401-2023-20-4-175-186
The paper presents the results of the analysis of defoliation features in the dark coniferous tree stands after the impact of the Siberian silkmoth (Dendrolimus sibiricus) in the mountain dark coniferous taiga of the Irbey forestry of the Krasnoyarsk Region of Central Siberia in 2018–2020. Landsat-8 OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor) materials were used, as well as information about forest stands and forest taxation characteristics in the format of a vector layer for taxons within the zone of Siberian silkmoth infestation. The degree of forest stand disturbance was assessed in terms of the relative anomaly of the vegetation index (Δrel, %) compared with the characteristic background values for three variants of the dominant dark coniferous stands: fir (Abies sibirica), Siberian pine (Pinus sibirica) and spruce (Picea obovata). A transition was made from pixel-by-pixel data to values averaged over taxons and related to dominant tree stands. It is shown that the threshold values of the relative anomaly Δrel at the level of 10, 25, 50 % make it possible to detail the degree of defoliation according to 5 classes of the state of damaged areas. A conjugated analysis involving forest inventory data made it possible to emphasize the differences in the rate of defoliation features on satellite imagery, as well as to indirectly assess the resistance of the dominant dark coniferous (fir, Siberian pine and spruce stands) to the silkmoth impact, in terms of the portion of the area, with signs of extreme defoliation on final stage of outbreak development in 2020.
Keywords: Siberia, dark coniferous taiga, Siberian silkmoth (Dendrolimus sibiricus), satellite data, Landsat, NDVI
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