Resin traces as indicators of bark beetle activity: A hyperspectral approach using extended SWIR analysis |
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| Martin Richter, Maik Rosenberger, Gunther Notni |
- Abstract:
- This work extends upon a novel method for detecting resin traces on forest surfaces, which is crucial for the early identification of bark beetle outbreaks in spruce and pine forests amidst climate change. The Normalized Difference Resin Index (NDRI), a Normalized Difference Vegetation Index (NDVI) like vegetation index, has been developed for the purpose of identifying resin from beetle damage. Employing a hyperspectral system with a 1000-2500 nm range, it was found that detection performance could be improved with wavelengths beyond 1700 nm, with 1720 nm and 2300 nm identified as critical for the identification of resin in low-density conditions. Determining the age of the resin presented a challenge due to the inconsistent spectral changes observed. However, the enhanced detection capability at higher wavelengths suggests a promising approach for early pest detection. Advancements in short-wave infrared technology, such as colloidal quantum dot sensors, have the potential to further enhance automated forest health monitoring.
- Download:
- IMEKO-TC2-2025-011.pdf
- DOI:
- 10.21014/tc2-2025.011
- Event details
- IMEKO TC:
- TC2
- Event name:
- IMEKO TC2 PhotoMet 2025
- Title:
2025 IMEKO TC2 International Symposium on Modern Photonic Metrology
PhotoMet 2025 - Shaping the Future of Photonic Metrology
- Place:
- Modena, ITALY
- Time:
- 01 September 2025 - 03 September 2025