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Труды сотрудников ИЛ им. В.Н. Сукачева СО РАН

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Найдено документов в текущей БД: 2

    Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
/ A. Kovalev, V. Soukhovolsky // Forests. - 2021. - Vol. 12, Is. 9. - Ст. 1188, DOI 10.3390/f12091188. - Cited References:30. - This research was funded by RSF according to research project number 21-46-07005. . - ISSN 1999-4907
РУБ Forestry

Аннотация: Methods for analyzing the resistance of large woodlands (such as Siberian taiga forests) to insect attacks based on remote sensing data are proposed. As an indicator of woodland's resistance, we suggest a function of normalized difference vegetative index (NDVI) susceptibility to changes in the land surface temperature (LST). Both NDVI and LST are obtained via the TERRA/AQUA satellite system. This indicator function was calculated as the spectral transfer function of the response in the integral equation connecting the changes in NDVI and LST. The analysis was carried out for two test sites, both of which are fir stands of the Krasnoyarsk region taiga zone. In the first case, the fir stands have suffered damage inflicted by Siberian silk moth caterpillars, Dendrolimus sibiricus Tschetv. since 2015. Adjacent intact fir forest areas were also analyzed. In the second case, the object of the study was a fir tree site damaged by Black Fir Sawyer Monochamus urussovii Fischer in 2013. It is demonstrated that the above-mentioned indicator function changed significantly 2-3 years prior to the pest population outbreaks, and therefore this indicator function can be used to assess the risk of pest population outbreak. Thereby, the proposed indicator compares favorably with vegetation cover estimates using NDVI, which register significant defoliation of tree stands and cannot be used for forecasting.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr Krasnoyarsk Sci Ctr, Siberian Branch, Acad Gorodok 50, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Sukachev Inst Forest SB RAS, Fed Res Ctr, Siberian Branch,Krasnoyarsk Sci Ctr, Acad Gorodok 50-28, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kovalev, Anton; Soukhovolsky, Vladislav; RSFRussian Science Foundation (RSF) [21-46-07005]
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    Analysis of Forest Condition Based on MODIS Remote-Sensing Data
/ A. V. Kovalev, V. I. Voronin, V. A. Oskolkov, V. G. Sukhovolskiy // Contemp. Probl. Ecol. - 2021. - Vol. 14, Is. 7. - P717-722, DOI 10.1134/S199542552107009X. - Cited References:28. - The research was carried out with the financial support of the Russian Foundation for Basic Research (17-05-41012 RGO_a and 17-29-05074 ofi_m). . - ISSN 1995-4255. - ISSN 1995-4263
РУБ Ecology

Аннотация: The potential for the assessment of the tree state based on remote-sensing data has been studied. The integral indicators of seasonal dynamics of the vegetation-index (NDVI) were used. The values for in 2003-2017 were compared for control (unharmed) and damaged test plots in the Khamar-Daban zone near the coast of Lake Baikal (Irkutsk oblast). It is shown that the use of the proposed integral indicators of the seasonal NDVI dynamics makes it possible to classify the test plots according to the tree state.

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Держатели документа:
Russian Acad Sci, Fed Res Ctr, Siberian Branch, Krasnoyarsk Sci Ctr, Krasnoyarsk 660036, Russia.
Russian Acad Sci, Siberian Inst Plants Physiol & Biochem, Siberian Branch, Irkutsk 664033, Russia.
Russian Acad Sci, Forest Inst, Siberian Branch, Krasnoyarsk 660036, Russia.

Доп.точки доступа:
Kovalev, A., V; Voronin, V., I; Oskolkov, V. A.; Sukhovolskiy, V. G.; Russian Foundation for Basic ResearchRussian Foundation for Basic Research (RFBR) [17-05-41012 RGO_a, 17-29-05074 ofi_m]
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