Forest insect defoliation and mortality classification using annual Landsat time series composites: a case study in northwestern Ontario, Canada

被引：3

作者：

Franklin, Steven ^{[1
]}

Robitaille, Sheryl ^{[1
]}

机构：

[1] Trent Univ, Sch Environm, Peterborough, ON K9J B8, Canada

来源：

REMOTE SENSING LETTERS | 2020年 / 11卷 / 12期

关键词：

JACK PINE BUDWORM;

D O I：

10.1080/2150704X.2020.1828659

中图分类号：

TP7 [遥感技术];

学科分类号：

081102 ; 0816 ; 081602 ; 083002 ; 1404 ;

摘要：

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.

引用

页码：1175 / 1180

页数：6

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