Proceedings of the Symposium on Global and Environmental Monitoring: Proceedings of the Symposium on Global and Environmental Monitoring

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Persistent identifier:: 856665355

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts ; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856665355

Language:: English

Document type:: Multivolume work

Volume

Persistent identifier:: 856669164

Title:: Proceedings of the Symposium on Global and Environmental Monitoring

Sub title:: techniques and impacts; September 17 - 21, 1990, Victoria Conference Centre, Victoria, British Columbia, Canada

Scope:: XIV, 912 Seiten

Year of publication:: 1990

Place of publication:: Victoria, BC

Publisher of the original:: [Verlag nicht ermittelbar]

Identifier (digital):: 856669164

Illustration:: Illustrationen, Diagramme, Karten

Signature of the source:: ZS 312(28,7,1)

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: International Society for Photogrammetry and Remote Sensing, Commission of Photographic and Remote Sensing Data

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2016

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [FA-3 FOREST DAMAGE]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: CAN MOUNTAIN PINE BEETLE GREEN ATTACK BE DETECTED ON HIGH RESOLUTION DATA FROM A DIGITAL AIRBORNE IMAGER? PRELIMINARY RESULTS. I. D. Kneppeck, F. J. Ahern

Document type:: Multivolume work

Structure type:: Chapter

846 CAN MOUNTAIN PINE BEETLE GREEN ATTACK BE DETECTED ON HIGH RESOLUTION DATA FROM A DIGITAL AIRBORNE IMAGER? PRELIMINARY RESULTS I. D. Kneppeck Dendron Resource Surveys Ltd. 880 Lady Ellen Place Ottawa, Ontario K1Z 5L9 613-725-2971 F. J. Ahern Canada Centre for Remote Sensing 1547 Merivale Road Ottawa, Ontario K1 A 0Y7 613-952-2746 ABSTRACT The Mountain Pine Beetle (Dendroctonus ponderosae Hopk.) and related bark beetles are the most serious insect pests damaging the forests of western Canada. The preferred control strategy is to remove infested trees before the beetles emerge and spread the infestation. Despite much effort by a number of researchers to develop remote sensing methods to detect infested trees at the early "green attack" stage, early detection has proven to be a very elusive goal. Successful detection has been reported using high resolution (1:2000 scale) colour infrared photography, but the high costs of surveys at these large scales make the method impractical for operational use. In 1986 the Canada Centre for Remote Sensing (CCRS) began a cooperative project with the British Columbia Ministry of Forests to improve the use of remote sensing technology for mapping mountain pine beetle attack. Foliar spectroscopic studies carried out under that project identified the spectral bands best suited for detecting green attacked trees. In addition, a study with the airborne MEIS (Multi-element Electro-optical Imaging Sensor) showed that high spatial resolution was necessary to detect trees at the "red attack" stage, and implied that high resolution would also be necessary for detecting green attack. In 1989 CCRS and the Ministry of Forests acquired data for a study of the use of MEIS data for distinguishing green attacked lodgepole pine (Pinus contorta Dougl. var. latifolia Engelm.) from unattacked lodgepole pine. The area chosen was located approximately 35 km southeast of Cranbrook, B. C. MEIS data at 0.4 m, 1.0 m, and 2.2 m resolution were acquired over the study area on 1989.09.01. A sample of 256 infested trees and 250 unattacked trees were identified in four principal areas on the ground and on colour infrared aerial photography acquired simultaneously with the MEIS data. The trees used in this study were infested during the summer of 1989 and their foliage was still green with no visual sign of weakening or discolouration at the time of the ground sampling, 1989.10.02 through 1989.10.05. Spectral features were analyzed using visual enhancement techniques and digital measures of the separability between the attacked and unattacked classes. The results showed larger differences occurring between sites than between the attacked and unattacked trees. KEYWORDS: MEIS, colour infrared photography, mountain pine beetle, green attack, digital image analysis 1. INTRODUCTION The mountain pine beetle (Dendroctonus ponderosae Hopk.) is the most destructive pest of lodgepole pine (Pinus contorta Dougl. var. latifolia Engelm.) in British Columbia. In fact, the annual allowable cut was increased approximately 59 percent for the Cranbrook, British Columbia timber supply area for a period of three years starting in 1989 in order to combat the mountain pine beetle problem (Ministry of Forests News Release, 1989). The life cycle of the mountain pine beetle and methods used to reduce losses have been described elsewhere (Safranyik et at, 1974). By the time the tree visually appears attacked and needles have turned red, one year following initial attack, beetles have often already left the tree and spread to adjacent trees. Shortening the detection time of trees infested with beetles, such that trees can be removed before beetles emerge to infect other trees could, in principle, slow the spread of an attack and help keep down the beetle population. Methods currently used to detect trees in the green attack stage, when the needles are green and beetles are still in the tree, include ground inspections. Symptoms of this phase of infestation are reddish- brown boring dust found at the base of freshly attacked trees, and the presence of pitch tubes which usually form around entrance holes on the bark in the summer of attack. Investigations into the early detection cf beetle attack involving the use of colour infrared aerial photographs have been successful. Hobbs and Murtha (1983) were able to correctly classify new

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