Remote mapping and characterization of riparian forests and fish habitat potential using advanced remote sensing approaches
Remote mapping and characterization of riparian forests and fish habitat potential using advanced remote sensing approaches
批准号:
517589-2018
负责人:
Coops, Nicholas
金额:
$15.13万
依托单位国家:
加拿大
项目类别:
Strategic Projects - Group
财政年份:
2019
资助国家:
加拿大
项目状态:
已结题
起止时间:
2019-01-01 至 2020-12-31
中文摘要
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英文摘要
Riparian forests, and the stream habitats within them, are critical important for the sustainable management of Canada's forested ecosystems. Fisheries sensitive watersheds are those designated to be highly important ecologically and once designated, require special forest management activities to ensure that practices undertaken maintain the natural watershed processes and conserve the ecological attributes necessary to protect and sustain fish and their habitat. With advances in remote sensing technology, the potential to derive a suite of stream and riparian zones forest attributes is now possible. Airborne laser scanning (ALS) has been shown to be highly effective for defining accurate and detailed stream networks, as well as for characterizing stream width and gradients, the potential of vegetation to shade and regulate stream temperature and estimate the likelihood of fish habitat. Our long-term research objective is to collaborate with Provincial and Federal forest agencies, as well as forest companies, to promote new tools to map, classify, and analyze streams and associated riparian areas in forested ecosystems. Our ultimate goal is to demonstrate that ALS data can provide accurate characterizations of stream networks and associated riparian vegetation, at markedly greater spatial detail than is possible with current data sources, and that these improved information sources can greatly enhance natural resource management and planning for these stream-riparian systems.
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批准号:RGPIN-2018-03851
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负责人:Coops, Nicholas
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依托单位:
Remote Sensing
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批准号:CRC-2018-00249
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资助金额:$14.57万
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依托单位:
Remote Sensing of Forest Carbon Accumulation
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负责人:Coops, Nicholas
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依托单位:
Remote mapping and characterization of riparian forests and fish habitat potential using advanced remote sensing approaches
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批准号:517589-2018
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项目类别:Strategic Projects - Group
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资助金额:$11.95万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
Enhanced measurement approaches for assessing gains in spruce provenance trials
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批准号:549568-2019
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资助金额:$2.01万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
Remote Sensing of Forest Carbon Accumulation
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批准号:RGPIN-2018-03851
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项目类别:Discovery Grants Program - Individual
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资助金额:$6.85万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
Estimating Forest Forest Structure to inform Predictive Ecosystem Mapping (PEM) Approaches across British Columbia
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批准号:554590-2020
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项目类别:Alliance Grants
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资助金额:$1.46万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
Assessment of wood attributes using remote sensing (AWARE)
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批准号:462973-2014
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项目类别:Collaborative Research and Development Grants
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资助金额:$6.47万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
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批准号:486175-2015
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项目类别:Collaborative Research and Development Grants
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资助金额:$1.73万
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财政年份:2020
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负责人:Coops, Nicholas
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依托单位:
Remote Sensing of Forest Carbon Accumulation
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批准号:RGPIN-2018-03851
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项目类别:Discovery Grants Program - Individual
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资助金额:$6.85万
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财政年份:2019
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负责人:Coops, Nicholas
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依托单位:
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批准号:462973-2014
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项目类别:Collaborative Research and Development Grants
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资助金额:$20.12万
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财政年份:2019
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负责人:Coops, Nicholas
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依托单位:
Remote Sensing
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批准号:CRC-2018-00249
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项目类别:Canada Research Chairs
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资助金额:$14.57万
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财政年份:2019
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负责人:Coops, Nicholas
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依托单位:
Monitoring the efficacy of minimal surface disturbance approaches
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批准号:537625-2018
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项目类别:Collaborative Research and Development Grants
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资助金额:$3.23万
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财政年份:2019
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负责人:Coops, Nicholas
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依托单位:
国内基金
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