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    Remote sensing aspen leaf miner (Phyllocnistis populiella chamb) infestations near Ester Dome in Fairbanks, Alaska

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    Author
    Smart, Douglas D.
    Keyword
    Populus tremuloides
    Leafminers
    Artificial satellites in forestry
    Alaska paper birch
    Diseases and pests
    Interior Alaska
    Metadata
    Show full item record
    URI
    http://hdl.handle.net/11122/12845
    Abstract
    "Mapping trembling aspen stands (Populous tremuloides Michx.) versus Alaskan birch (Betula neoalaskana Sarg.) in interior Alaska is possible as a byproduct of remote sensing aspen leaf miner (Phyllocnistis populiella Chamb.) damage. P. populiella is a defoliator of trembling aspen that has been observed in epidemic proportions in Alaska since 2001. Where it is observed it is ubiquitous. Unlike most remote sensing studies of insect damage, I found no significant change in the near-infrared related to leaf miner damage. The feeding morphology of P. populiella is different from most other leaf defoliating insects. P. populiella feeds only in the epidermal tissue of aspen leaves whereas most other leaf mining insect pests consume mesophyll tissue. This means that P. populiella causes no significant change in near-infrared reflectance whereas most other defoliators do. This lack of change in near-infrared range coupled with the timing of leaf miner foraging can be used to discriminate P. populiella damage from that of other leaf defoliators. The ability to remotely sense damage in aspen stands provides an opportunity to identify P. tremuloides in locations where damage is epidemic. If new image acquisition and historic image purchases are timed to correspond with P. populiella outbreak conditions, it will be possible to identify areas that are P. tremuloides stands and not other species"--Leaf iii
    Description
    Thesis (M.S.) University of Alaska Fairbanks, 2008
    Table of Contents
    1. Introduction -- 1.1. Aspen leaf miner -- 1.2. Trembling aspen -- 2. Objectives -- 3. Methods -- 3.1. Study area -- 3.2. Insect surveys -- 3.3. Quickbird imagery -- 3.4. Image processing -- 3.5. Field validation -- 3.6. Data analysis -- 3.6.1. Validation of Quickbird classification -- 3.6.2. Spectral changes -- 4. Results -- 4.1. Quickbird classification accuracy -- 4.2. Mapping comparison -- 4.3. Spectral reflectance changes: aspen leaf miner infestation pixels verses birch pixels -- 4.4. Spectral reflectance changes: aspen leaf miner infestations versus birch stands -- 4.5. Spectral differences from the June 13, 2003 image -- 5. Discussion -- 5.1. Accuracy of Quickbird classifications -- 5.2. Quickbird classification versus aerial sketch mapping polygons -- 5.3. Spectral reflectance changes -- 5.4. Conclusion -- References -- Appendix.
    Date
    2008-12
    Type
    Thesis
    Collections
    School of Natural Resources and Agricultural Sciences

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