Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data
To assess the state of plantations in vast areas of boreal forests, modern methods are needed that allow obtaining information quickly with minimal labor costs. The existing assessment methods are either associated with labor-consuming ground-based observations, or they make it possible to measure t...
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| Format: | Article |
| Language: | English |
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Russian Academy of Sciences, Siberian Branch Publishing House
2021-10-01
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| Series: | Сибирский лесной журнал |
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| Online Access: | https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/fdb/fdba6e00ba7db41b2221f19291af945a.pdf |
| _version_ | 1818971774443847680 |
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| author | A. V. Kovalev |
| author_facet | A. V. Kovalev |
| author_sort | A. V. Kovalev |
| collection | DOAJ |
| description | To assess the state of plantations in vast areas of boreal forests, modern methods are needed that allow obtaining information quickly with minimal labor costs. The existing assessment methods are either associated with labor-consuming ground-based observations, or they make it possible to measure the damage that has already occurred using remote sensing data (satellite, aeronautical observation methods). Methods for analyzing the state of forest stands in large areas (such as taiga forests in Siberia) based on remote sensing data are proposed. As an indicator of the state of stands, it is proposed to use the susceptibility index of vegetation index during the season (NDVI) to changes in the radiation temperature (LST), obtained from satellite data of the Terra/Aqua system. The index was calculated as the transfer spectral response function in the integral equation between NDVI and LST. The analysis was made for two types fir stands of Krasnoyarsk Region taiga zone – territories that since 2015 were damaged by of the Siberian silkmoth Dendrolimis sibiricus Tschetv. caterpillars and nearest intact areas. It is shown that indicators of stands’ susceptibility to environmental changes on the studied test plots changed significantly 2–3 years before pest population outbreaks and can be taken into account when assessing the risk of outbreaks. This distinguishes proposed indicator from assessments of the vegetation cover state, which register a significant defoliation of forest stands and cannot be used for forecasting. |
| first_indexed | 2024-12-20T14:57:43Z |
| format | Article |
| id | doaj.art-3f934c0bc78b4da5bca800bff8bab205 |
| institution | Directory Open Access Journal |
| issn | 2311-1410 2312-2099 |
| language | English |
| last_indexed | 2024-12-20T14:57:43Z |
| publishDate | 2021-10-01 |
| publisher | Russian Academy of Sciences, Siberian Branch Publishing House |
| record_format | Article |
| series | Сибирский лесной журнал |
| spelling | doaj.art-3f934c0bc78b4da5bca800bff8bab2052022-12-21T19:36:45ZengRussian Academy of Sciences, Siberian Branch Publishing HouseСибирский лесной журнал2311-14102312-20992021-10-0185717810.15372/SJFS20210508Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing dataA. V. Kovalev0Federal Research Center Krasnoyarsk Scientific Center, Russian Academy of Sciences, Siberian BranchTo assess the state of plantations in vast areas of boreal forests, modern methods are needed that allow obtaining information quickly with minimal labor costs. The existing assessment methods are either associated with labor-consuming ground-based observations, or they make it possible to measure the damage that has already occurred using remote sensing data (satellite, aeronautical observation methods). Methods for analyzing the state of forest stands in large areas (such as taiga forests in Siberia) based on remote sensing data are proposed. As an indicator of the state of stands, it is proposed to use the susceptibility index of vegetation index during the season (NDVI) to changes in the radiation temperature (LST), obtained from satellite data of the Terra/Aqua system. The index was calculated as the transfer spectral response function in the integral equation between NDVI and LST. The analysis was made for two types fir stands of Krasnoyarsk Region taiga zone – territories that since 2015 were damaged by of the Siberian silkmoth Dendrolimis sibiricus Tschetv. caterpillars and nearest intact areas. It is shown that indicators of stands’ susceptibility to environmental changes on the studied test plots changed significantly 2–3 years before pest population outbreaks and can be taken into account when assessing the risk of outbreaks. This distinguishes proposed indicator from assessments of the vegetation cover state, which register a significant defoliation of forest stands and cannot be used for forecasting.https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/fdb/fdba6e00ba7db41b2221f19291af945a.pdfforest insectsassessment of the forest statepopulation outbreaksground-based remote sensing methods |
| spellingShingle | A. V. Kovalev Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data Сибирский лесной журнал forest insects assessment of the forest state population outbreaks ground-based remote sensing methods |
| title | Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data |
| title_full | Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data |
| title_fullStr | Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data |
| title_full_unstemmed | Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data |
| title_short | Analysis of forest stands resistance to Siberian silkmoth attack, according to remote sensing data |
| title_sort | analysis of forest stands resistance to siberian silkmoth attack according to remote sensing data |
| topic | forest insects assessment of the forest state population outbreaks ground-based remote sensing methods |
| url | https://xn--80abmehbaibgnewcmzjeef0c.xn--p1ai/upload/iblock/fdb/fdba6e00ba7db41b2221f19291af945a.pdf |
| work_keys_str_mv | AT avkovalev analysisofforeststandsresistancetosiberiansilkmothattackaccordingtoremotesensingdata |