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A Geographic Information Science and Remote Sensing Framework for Developing Environmentally Sustainable Forest Access Roads in Canada's Northern Boreal Forest

A Geographic Information Science and Remote Sensing Framework for Developing Environmentally Sustainable Forest Access Roads in Canada's Northern Boreal Forest
用于在加拿大北部北方森林开发环境可持续森林通道的地理信息科学和遥感框架
批准号:
535764-2018
负责人:
Rogers, Kevin
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:
2018
资助国家:
加拿大
项目状态:
已结题
起止时间:
2018-01-01 至 2019-12-31

项目摘要

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中文摘要
翻译
获取木材资源的公路网是林业业务最昂贵的方面之一。规划不善的森林道路也可能导致严重的环境破坏。不合格道路造成的影响可能包括土壤压实、侵蚀、排水改变、栖息地碎片化和栖息地丧失。该提案试图通过创新的森林公路规划解决方案来解决林业公路发展的经济和环境成本问题。我们与OS-Arc企业有限公司(OS-Arc)合作,建议将最新的遥感发展与地理信息系统(GIS)技术相结合,建立一个预测模型工作流程,促进木材通道道路规划。其目标将是在道路调查活动之前,为小型林业经营者提供建立森林公路网模型的数字解决方案。采用这种方法将显著降低成本,同时提供道路布局、木材资源和环境危害的概括性概述。这种分析通常产生的数字产品可能包括基于栅格的3D景观模型;建议的道路网络;森林类型、高度和密度信息;侵蚀危害;岩石地形;以及对水生生物栖息地的关注。
英文摘要
Road networks for accessing timber resources are one of the most expensive aspects of forestry operations. Poorly planned forest roads can also result in significant environmental damage. Impacts arising from sub-standard roads can include soil compaction, erosion, drainage alterations, habitat fragmentation, and habitat loss. This proposal attempts to address the economic and environmental costs of forestry road development through innovative forest road planning solutions. Working in conjunction with Os-Arc Enterprises Ltd. (Os-Arc), we propose combining recent remote sensing developments with geographic information system (GIS) technology to build a predictive model workflow that facilitates timber access road planning. The objective will be to equip small forestry operators with digital solutions for modelling forest road networks in advance of road survey activities. Adoption of this approach will result in significant cost reductions while providing a synoptic overview of road layout, timber resources, and environmental hazards. Digital products routinely generated from this analysis may include raster-based 3D landscape models; proposed road networks; forest type, height, and density information; erosion hazards; rocky terrain; and aquatic habitat concerns.
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Assessment of Lake Sturgeon Reproductive Capacity and Associated Habitat Requirements in the North Saskatchewan and Saskatchewan River Systems
  • 批准号:
    544555-2019
  • 项目类别:
    Applied Research and Development Grants - Level 2
  • 资助金额:
    $4.37万
  • 财政年份:
    2021
  • 负责人:
    Rogers, Kevin
  • 依托单位:
Using AI to automatically generate mining algorithms
  • 批准号:
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  • 项目类别:
    Applied Research and Development Grants - Level 3
  • 资助金额:
    $10.93万
  • 财政年份:
    2021
  • 负责人:
    Rogers, Kevin
  • 依托单位:
Assessment of Lake Sturgeon Reproductive Capacity and Associated Habitat Requirements in the North Saskatchewan and Saskatchewan River Systems
  • 批准号:
    544555-2019
  • 项目类别:
    Applied Research and Development Grants - Level 2
  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
    Rogers, Kevin
  • 依托单位:
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  • 批准号:
    532210-2018
  • 项目类别:
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  • 资助金额:
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  • 财政年份:
    2020
  • 负责人:
    Rogers, Kevin
  • 依托单位:
国内基金
海外基金
Data-driven Recommendation System Construction of an Online Medical Platform Based on the Fusion of Information
Exploring the Intrinsic Mechanisms of CEO Turnover and Market Reaction: An Explanation Based on Information Asymmetry
  • 批准号:
    W2433169
  • 项目类别:
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  • 资助金额:
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  • 批准年份:
    2024
  • 负责人:
    HAOFEI ZHANG
  • 依托单位:
SCIENCE CHINA Information Sciences