Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data

• Published in: Forests
• Main Authors: Anton Kovalev, Vladislav Soukhovolsky
• Format: Article in Journal/Newspaper
• Language: English
• Published: MDPI AG 2021
• Subjects: forest insects; assessment of the forest state; population outbreaks; ground-based remote sensing methods; Plant ecology; QK900-989; taiga
• Online Access: https://doi.org/10.3390/f12091188; https://doaj.org/article/6e29bb0df9834406b371b6fa01d815eb

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.