期刊
REMOTE SENSING
卷 7, 期 10, 页码 13863-13877出版社
MDPI
DOI: 10.3390/rs71013863
关键词
Lidar; hyperspectral sensors; forest health; drought; declined trees; laser scanning; forestry
类别
资金
- Finnish Society of Forest Science [201510040]
- Centre of Excellence in Laser Scanning Research (CoE-LaSR) [273806]
Global warming is posing a threat to the health and condition of forests as the amount and length of biotic and abiotic disturbances increase. Most methods for detecting disturbances and measuring forest health are based on multi- and hyperspectral imaging. We conducted a test with spruce and pine trees using a hyperspectral Lidar instrument in a laboratory to determine the capability of combined range and reflectance measurements to investigate forest health. A simple drought treatment was conducted by leaving the harvested trees outdoors without a water supply for 12 days. The results showed statistically significant variation in reflectance after the drought treatment for both species. However, the changes differed between the species, indicating that drought-induced alterations in spectral characteristics may be species-dependent. Based on our results, hyperspectral Lidar has the potential to detect drought in spruce and pine trees.
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