Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements

The prolonged drought of recent years combined with the steadily increasing bark beetle infestation (<i>Ips typographus</i>) is causing enormous damage in Germany’s spruce forests. This preliminary study investigates whether early spruce infestation by the bark beetle (green attack) can...

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Autores principales: Florian M. Hellwig, Martyna A. Stelmaszczuk-Górska, Clémence Dubois, Marco Wolsza, Sina C. Truckenbrodt, Herbert Sagichewski, Sergej Chmara, Lutz Bannehr, Angela Lausch, Christiane Schmullius
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Publicado: MDPI AG 2021
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spelling oai:doaj.org-article:20b68e798008433ca31ff95007d3cb4d2021-11-25T18:55:10ZMapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements10.3390/rs132246592072-4292https://doaj.org/article/20b68e798008433ca31ff95007d3cb4d2021-11-01T00:00:00Zhttps://www.mdpi.com/2072-4292/13/22/4659https://doaj.org/toc/2072-4292The prolonged drought of recent years combined with the steadily increasing bark beetle infestation (<i>Ips typographus</i>) is causing enormous damage in Germany’s spruce forests. This preliminary study investigates whether early spruce infestation by the bark beetle (green attack) can be detected using indices based on airborne spatial high-resolution (0.3 m) hyperspectral data and field spectrometer measurements. In particular, a new hyperspectral index based on airborne data has been defined and compared with other common indices for bark beetle detection. It shows a very high overall accuracy (OAA = 98.84%) when validated with field data. Field measurements and a long-term validation in a second study area serve the validation of the robustness and transferability of the index to other areas. In comparison with commonly used indices, the defined index has the ability to detect a larger proportion of infested spruces in the green attack phase (60% against 20% for commonly used indices). This index confirms the high potential of the red-edge domain to distinguish infested spruces at an early stage. Overall, our index has great potential for forest preservation strategies aimed at the detection of infested spruces in order to mitigate the outbreaks.Florian M. HellwigMartyna A. Stelmaszczuk-GórskaClémence DuboisMarco WolszaSina C. TruckenbrodtHerbert SagichewskiSergej ChmaraLutz BannehrAngela LauschChristiane SchmulliusMDPI AGarticlebark beetle infestationgreen attack detectiontemperate foresthyperspectral indicesfield spectrometer measurementsScienceQENRemote Sensing, Vol 13, Iss 4659, p 4659 (2021)
institution DOAJ
collection DOAJ
language EN
topic bark beetle infestation
green attack detection
temperate forest
hyperspectral indices
field spectrometer measurements
Science
Q
spellingShingle bark beetle infestation
green attack detection
temperate forest
hyperspectral indices
field spectrometer measurements
Science
Q
Florian M. Hellwig
Martyna A. Stelmaszczuk-Górska
Clémence Dubois
Marco Wolsza
Sina C. Truckenbrodt
Herbert Sagichewski
Sergej Chmara
Lutz Bannehr
Angela Lausch
Christiane Schmullius
Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
description The prolonged drought of recent years combined with the steadily increasing bark beetle infestation (<i>Ips typographus</i>) is causing enormous damage in Germany’s spruce forests. This preliminary study investigates whether early spruce infestation by the bark beetle (green attack) can be detected using indices based on airborne spatial high-resolution (0.3 m) hyperspectral data and field spectrometer measurements. In particular, a new hyperspectral index based on airborne data has been defined and compared with other common indices for bark beetle detection. It shows a very high overall accuracy (OAA = 98.84%) when validated with field data. Field measurements and a long-term validation in a second study area serve the validation of the robustness and transferability of the index to other areas. In comparison with commonly used indices, the defined index has the ability to detect a larger proportion of infested spruces in the green attack phase (60% against 20% for commonly used indices). This index confirms the high potential of the red-edge domain to distinguish infested spruces at an early stage. Overall, our index has great potential for forest preservation strategies aimed at the detection of infested spruces in order to mitigate the outbreaks.
format article
author Florian M. Hellwig
Martyna A. Stelmaszczuk-Górska
Clémence Dubois
Marco Wolsza
Sina C. Truckenbrodt
Herbert Sagichewski
Sergej Chmara
Lutz Bannehr
Angela Lausch
Christiane Schmullius
author_facet Florian M. Hellwig
Martyna A. Stelmaszczuk-Górska
Clémence Dubois
Marco Wolsza
Sina C. Truckenbrodt
Herbert Sagichewski
Sergej Chmara
Lutz Bannehr
Angela Lausch
Christiane Schmullius
author_sort Florian M. Hellwig
title Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
title_short Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
title_full Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
title_fullStr Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
title_full_unstemmed Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field Measurements
title_sort mapping european spruce bark beetle infestation at its early phase using gyrocopter-mounted hyperspectral data and field measurements
publisher MDPI AG
publishDate 2021
url https://doaj.org/article/20b68e798008433ca31ff95007d3cb4d
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