This report covers the first year of a five year study in the development of an applied remote sensing strategy for resource management of BC forests and forest health, involving airborne remote sensing for monitoring and control of mountain pine beetle infestations. This project addresses the most efficient and reliable remote sensing strategies for identifying and mapping, in a practical and cost effective manner, early infestation stages (current attack) of MPB and subsequent advanced stages including detection and mapping of red attack and monitoring infestation spread across time. Digitally converted multispectral aerial photography was found to perform best for early detection of current attack and mapping and monitoring red attack. Results indicate that a spreading current attack can be reliably detected between mid May and early June at our sites. For mapping red attack a scale of 1:16000 is recommended at this time. For early detection experiments the 1:8000 imagery was superior but the 1:16000 imagery would be operationally effective. Aerial photography (multispectral and digitally converted) is clearly the remote sensing imaging system that can most accurately and cost effectively addresses this critical MPB problem. Of equal importance is the capability of aerial photography being implemented in a timely fashion by both government and the private sector in a business environment using competitive tendering. A. Roberts... [et. al].
Roberts, Arthur, Li, Yinbin; Wolf, Sebastian; Northrup, J.. 2003. Mountain pine beetle detection and monitoring: phase II enhancement, interpretation and evaluation of airborne imagery. Forest Investment Account (FIA) - Forest Science Program. Forest Investment Account Report. FIA2003MR180
Topic: FLNRORD Research Program
Keywords: mountain pine beetle, remote sensing, multispectral, digital imagery, aerial photography, red attack, current attack, British Columbia, forestry, image analysis, image classification
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