Mountain pine beetle detection and monitoring: evaluation of airborne imagery

A. Roberts; C. Bone; S. Dragicevic; A. Ettya; J. Northrup; R. Reich

doi:10.1117/12.738546

29 October 2007 Mountain pine beetle detection and monitoring: evaluation of airborne imagery

A. Roberts, C. Bone, S. Dragicevic, A. Ettya, J. Northrup, R. Reich

Proceedings Volume 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII; 67490I (2007) https://doi.org/10.1117/12.738546
Event: SPIE Remote Sensing, 2007, Florence, Italy

Abstract

The processing and evaluation of digital airborne imagery for detection, monitoring and modeling of mountain pine beetle (MPB) infestations is evaluated. The most efficient and reliable remote sensing strategy for identification and mapping of infestation stages ("current" to "red" to "grey" attack) of MPB in lodgepole pine forests is determined for the most practical and cost effective procedures. This research was planned to specifically enhance knowledge by determining the remote sensing imaging systems and analytical procedures that optimize resource management for this critical forest health problem. Within the context of this study, airborne remote sensing of forest environments for forest health determinations (MPB) is most suitably undertaken using multispectral digitally converted imagery (aerial photography) at scales of 1:8000 for early detection of current MPB attack and 1:16000 for mapping and sequential monitoring of red and grey attack. Digital conversion should be undertaken at 10 to 16 microns for B&W multispectral imagery and 16 to 24 microns for colour and colour infrared imagery. From an "operational" perspective, the use of twin mapping-cameras with colour and B&W or colour infrared film will provide the best approximation of multispectral digital imagery with near comparable performance in a competitive private sector context (open bidding).

Citation Download Citation

A. Roberts, C. Bone, S. Dragicevic, A. Ettya, J. Northrup, and R. Reich "Mountain pine beetle detection and monitoring: evaluation of airborne imagery", Proc. SPIE 6749, Remote Sensing for Environmental Monitoring, GIS Applications, and Geology VII, 67490I (29 October 2007); https://doi.org/10.1117/12.738546

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