Тип публикации: статья из журнала
Год издания: 2024
Идентификатор DOI: 10.1134/S0010952524601208
Ключевые слова: siberia, dark coniferous taiga, Siberian silkmoth (<i>Dendrolimus sibiricus</i>), satellite data, <i>Landsat</i>, ndvi
Аннотация: The paper presents the results of an analysis of defoliation features in the dark coniferous tree stands after the impact of the Siberian silkmoth (<i>Dendrolimus sibiricus</i>) in the mountain dark coniferous taiga of the Irbey forestry of Krasnoyarsk krai of Central Siberia in 2018–2020. <i>Landsat-8</i> OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor) materials were used, as well as information about forest stands and forest inventory 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 (<i>Abies sibirica</i>), Siberian pine (<i>Pinus sibirica</i>), and spruce (<i>Picea obovata</i>). 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, and 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 silk moth impact, in terms of the ratio of the area, with signs of extreme defoliation on final stage of outbreak development in 2020.
Журнал: Cosmic Research
Выпуск журнала: Т. 62, № S1
Номера страниц: 73-80
ISSN журнала: 00109525
Место издания: Moscow
Издатель: Pleiades Publishing, Ltd.