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

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 (<i>NDVI</i>) susceptibility to...

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Main Authors: Anton Kovalev, Vladislav Soukhovolsky
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Forests
Subjects:
Online Access:https://www.mdpi.com/1999-4907/12/9/1188
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author Anton Kovalev
Vladislav Soukhovolsky
author_facet Anton Kovalev
Vladislav Soukhovolsky
author_sort Anton Kovalev
collection DOAJ
description 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 (<i>NDVI</i>) susceptibility to changes in the land surface temperature (<i>LST</i>). Both <i>NDVI</i> and <i>LST</i> 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 <i>NDVI</i> and <i>LST</i>. 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, <i>Dendrolimus sibiricus</i> 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 <i>Monochamus urussovii</i> 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 <i>NDVI</i>, which register significant defoliation of tree stands and cannot be used for forecasting.
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spelling doaj.art-6e29bb0df9834406b371b6fa01d815eb2023-11-22T13:07:23ZengMDPI AGForests1999-49072021-09-01129118810.3390/f12091188Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing DataAnton Kovalev0Vladislav Soukhovolsky1Federal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Academgorodok 50, 660036 Krasnoyarsk, RussiaFederal Research Center “Krasnoyarsk Science Center of the Siberian Branch of the Russian Academy of Sciences”, Academgorodok 50, 660036 Krasnoyarsk, RussiaMethods 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 (<i>NDVI</i>) susceptibility to changes in the land surface temperature (<i>LST</i>). Both <i>NDVI</i> and <i>LST</i> 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 <i>NDVI</i> and <i>LST</i>. 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, <i>Dendrolimus sibiricus</i> 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 <i>Monochamus urussovii</i> 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 <i>NDVI</i>, which register significant defoliation of tree stands and cannot be used for forecasting.https://www.mdpi.com/1999-4907/12/9/1188forest insectsassessment of the forest statepopulation outbreaksground-based remote sensing methods
spellingShingle Anton Kovalev
Vladislav Soukhovolsky
Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
Forests
forest insects
assessment of the forest state
population outbreaks
ground-based remote sensing methods
title Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
title_full Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
title_fullStr Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
title_full_unstemmed Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
title_short Analysis of Forest Stand Resistance to Insect Attack According to Remote Sensing Data
title_sort analysis of forest stand resistance to insect attack according to remote sensing data
topic forest insects
assessment of the forest state
population outbreaks
ground-based remote sensing methods
url https://www.mdpi.com/1999-4907/12/9/1188
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AT vladislavsoukhovolsky analysisofforeststandresistancetoinsectattackaccordingtoremotesensingdata