Кл.слова (ненормированные):
Assessment of the forest state -- Forest insects -- Ground?based remote sensing methods -- Population outbreaks -- Integral equations -- Land surface temperature -- Remote sensing -- Risk assessment -- Vegetation -- Indicator functions -- Insect attacks -- Normalized differences -- Pest population -- Remote sensing data -- Satellite system -- Vegetation cover -- Vegetative index -- Forestry -- Abies -- Data -- Forestry -- Plants -- Remote Sensing -- Resistance -- Risk Assessment -- Trees -- Bombyx mori -- Hexapoda -- Indicator indicator -- Monochamus urussovi
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 re-sistance, 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 TER? RA/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, Den-drolimus 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 com-pares favorably with vegetation cover estimates using NDVI, which register significant defoliation of tree stands and cannot be used for forecasting. © 2021 by the authors. Licensee MDPI, Basel, Switzerland.
Scopus
Держатели документа:
Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Academgorodok 50, Krasnoyarsk, 660036, Russian Federation
Sukachev Institute of Forest SB RAS, Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Academgorodok 50?28, Krasnoyarsk, 660036, Russian Federation
Доп.точки доступа:
Kovalev, A.; Soukhovolsky, V.