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Researching and developing a remote sensing approach to detecting stand-level spruce bark beetle attach in central British Columbia

Researching and developing a remote sensing approach to detecting stand-level spruce bark beetle attach in central British Columbia
研究和开发一种遥感方法来检测不列颠哥伦比亚省中部的云杉树皮甲虫附着
批准号:
505725-2016
负责人:
Griesbauer, Hardy
金额:
$1.82万
依托单位:
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 1
财政年份:
2017
资助国家:
加拿大
项目状态:
已结题
起止时间:
2017-01-01 至 2018-12-31

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中文摘要
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英文摘要
The spruce bark beetle (Dendroctonus rufipennis) is a destructive pest in the forests of western North America.The beetle kills large spruce trees by feeding on the inner bark, disrupting the phloem of the tree, and vectoringa blue stain fungus into the sapwood. Spruce beetle populations are rapidly increasing in northern BritishColumbia, and currently infest 156,000 hectares of timber in this region.Terrestrial Information Services and the College of New Caledonia are collaborating on a project to researchand develop a computer-based method that analyzes high-resolution aerial images of forests and predictstree-level bark beetle attack for the entire area. This approach will introduce several important innovations tothe forest sector: (i) bark beetle survey costs could be reduced by collecting images using unmanned aerialvehicles (UAV) and analyzing the images post-collection with this new approach, and (ii) bark beetleinfestation rates would be predicted for entire areas, which will improve forest management and bark beetlesanitation operations (iii) the UAV approach offers numerous advantages over traditional small-scale highdefinition fixed wing aerial photography such as delivery in near real time and at any scale.Students in the College's Natural Resources and Environmental Technology program will be involved in thisproject, and will develop valuable skills in emerging technologies to manage forest health factors in BC'sforests.
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Applied research into soil moisture deficit effects on commercial tomato production in northern BC
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  • 项目类别:
    Applied Research and Development Grants - Level 1
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  • 财政年份:
    2017
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  • 项目类别:
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