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Forest Insect Defoliation and Mortality Classification Using Annual Landsat Time Series Composites: A Case Study in Northwestern Ontario, Canada

Document Type

Article

Journal/Book Title/Conference

Remote Sensing Letters

Volume

11

Issue

12

Publisher

Taylor & Francis

First Page

1175

Last Page

1180

Publication Date

10-20-2020

Abstract

Landsat satellite time series annual Best-Available-Pixel (BAP) composites for the period 1984–2017 of the Kenora Forest Management Unit in northwestern Ontario, Canada were sampled and stratified by forest stand conditions and aerial sketch map (ASM) compilations of mortality and defoliation. Pre- and post-disturbance multispectral image and textural data were classified using a logistic regression decision rule for spruce budworm (Choristoneura fumiferana), jackpine budworm (Choristoneura pinus pinus), and forest tent caterpillar (Malacosoma disstria). Overall classification accuracy of 79.6% was obtained in a 998 ha sample of 120 forest stands.

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