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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MDPI AG
2021-09-01
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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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institution | Directory Open Access Journal |
issn | 1999-4907 |
language | English |
last_indexed | 2024-03-10T07:39:39Z |
publishDate | 2021-09-01 |
publisher | MDPI AG |
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series | Forests |
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 |
work_keys_str_mv | AT antonkovalev analysisofforeststandresistancetoinsectattackaccordingtoremotesensingdata AT vladislavsoukhovolsky analysisofforeststandresistancetoinsectattackaccordingtoremotesensingdata |