Forests | |
Analysis of Unmanned Aerial System-Based CIR Images in Forestry—A New Perspective to Monitor Pest Infestation Levels | |
Jan Rudolf Karl Lehmann1  Felix Nieberding1  Torsten Prinz2  Christian Knoth2  Dave Verbyla3  | |
[1]Institute of Landscape Ecology, University of Münster, Heisenbergstr.2, 48149 Münster, Germany | |
[2] E-Mail: | |
[3]Institute of Geoinformatics, University of Münster, Heisenbergstr.2, 48149 Münster, Germany | |
[4] E-Mails: | |
[5]Institute of Landscape Ecology, University of Münster, Heisenbergstr.2, 48149 Münster, Germany | |
[6] E-Mail | |
关键词: autonomous flying; beetle infection; drone; GIS; NDVI; object-based image analysis; OBIA; UAV; | |
DOI : 10.3390/f6030594 | |
来源: mdpi | |
【 摘 要 】
The detection of pest infestation is an important aspect of forest management. In the case of the oak splendour beetle (
【 授权许可】
CC BY
© 2015 by the authors; licensee MDPI, Basel, Switzerland.
【 预 览 】
Files | Size | Format | View |
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RO202003190015904ZK.pdf | 1654KB | download |