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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| Language: | English |
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MDPI AG
2021-11-01
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| Series: | Remote Sensing |
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| Online Access: | https://www.mdpi.com/2072-4292/13/22/4659 |
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| 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 |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-03-10T05:05:45Z |
| format | Article |
| id | doaj.art-20b68e798008433ca31ff95007d3cb4d |
| institution | Directory Open Access Journal |
| issn | 2072-4292 |
| language | English |
| last_indexed | 2024-03-10T05:05:45Z |
| publishDate | 2021-11-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Remote Sensing |
| spelling | doaj.art-20b68e798008433ca31ff95007d3cb4d2023-11-23T01:21:07ZengMDPI AGRemote Sensing2072-42922021-11-011322465910.3390/rs13224659Mapping European Spruce Bark Beetle Infestation at Its Early Phase Using Gyrocopter-Mounted Hyperspectral Data and Field MeasurementsFlorian M. Hellwig0Martyna A. Stelmaszczuk-Górska1Clémence Dubois2Marco Wolsza3Sina C. Truckenbrodt4Herbert Sagichewski5Sergej Chmara6Lutz Bannehr7Angela Lausch8Christiane Schmullius9Department for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyDepartment for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyDepartment for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyDepartment for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyDepartment for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyForestal Research and Competency Center Gotha, Department of Digital Forest Information System, ThüringenForst, Jägerstr. 1, D-99867 Gotha, GermanyForestal Research and Competency Center Gotha, Department of Digital Forest Information System, ThüringenForst, Jägerstr. 1, D-99867 Gotha, GermanyInstitute for Geoinformation and Surveying, Anhalt University of Applied Sciences, Bauhaustr. 8, D-06846 Dessau-Roßlau, GermanyHelmholtz Centre for Environmental Research—UFZ, Department Computational Landscape Ecology, Permoserstr. 15, D-04318 Leipzig, GermanyDepartment for Earth Observation, Friedrich-Schiller-University Jena, Löbdergraben 32, D-07743 Jena, GermanyThe 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.https://www.mdpi.com/2072-4292/13/22/4659bark beetle infestationgreen attack detectiontemperate foresthyperspectral indicesfield spectrometer measurements |
| spellingShingle | 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 Remote Sensing bark beetle infestation green attack detection temperate forest hyperspectral indices field spectrometer measurements |
| title | 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_short | 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 |
| topic | bark beetle infestation green attack detection temperate forest hyperspectral indices field spectrometer measurements |
| url | https://www.mdpi.com/2072-4292/13/22/4659 |
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