Estimating Forest Forest Structure to inform Predictive Ecosystem Mapping (PEM) Approaches across British Columbia
估算森林结构,为不列颠哥伦比亚省的预测生态系统绘图 (PEM) 方法提供信息
基本信息
- 批准号:554590-2020
- 负责人:
- 金额:$ 1.46万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Alliance Grants
- 财政年份:2020
- 资助国家:加拿大
- 起止时间:2020-01-01 至 2021-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
British Columbia is dominated by forested ecosystems. One key approach to map and understand these forested ecosystems is through the Predictive Ecosystem Mapping (PEM) system. A key benefit of PEM is that, as it is an automated predictive system, it can be developed and applied over large spatial areas. The recent availability of light detection and ranging (LIDAR) data which provides unprecedented information on both terrain and forest structure can be used in association with PEM predictions to provide a very fine level of spatial detail and accuracy acros key areas of the Province. The project focuses on (a) development of new models and methods to predict components of forest structure from LiDAR data, for use by PEM practitioners, (b) an assessment of what variations in forest structure can be linked to changes in tree species, site, age, disturbance history, and forest health, (c) examine how transferable the developed methods are within and across PEM landscape units including the innovative use of deep learning and (iv) an assessment of data models to allow raster based estimates of forest structure to be effectively summarized into polygon units. This project will support the BC Ministry PEM Methods team by providing additional intellectual support through a dedicated PhD HQP and, using the significant resources already assigned to this project in terms of personal, data and field observations, help propose and develop innovations to map ecological units across the BC landscape.
不列颠哥伦比亚省以森林生态系统为主。绘制和了解这些森林生态系统的一个关键方法是通过预测生态系统图(PEM)系统。PEM的一个主要优点是,由于它是一个自动预测系统,它可以在大范围的空间区域内开发和应用。最近可获得的光探测和测距(LIDAR)数据提供了关于地形和森林结构的前所未有的信息,可以与PEM预测相结合,在该省的关键地区提供非常精细的空间细节和准确性。该项目的重点是:(A)开发新的模型和方法,从激光雷达数据中预测森林结构的组成部分,供PEM从业者使用;(B)评估森林结构的哪些变化可以与树种、地点、年龄、干扰历史和森林健康的变化联系在一起;(C)检查所开发的方法在PEM景观单元内部和之间的可传递性,包括创新地使用深度学习;以及(Iv)评估数据模型,以便能够有效地将基于栅格的森林结构估计总结为多边形单元。该项目将通过专门的博士HQP提供额外的智力支持,并利用已分配给该项目的大量个人、数据和现场观察资源,帮助提出和开发创新,以绘制整个不列颠哥伦比亚省的生态单元图,从而为不列颠哥伦比亚省的PEM方法团队提供支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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{{ truncateString('Coops, Nicholas', 18)}}的其他基金
Remote Sensing of Forest Carbon Accumulation
森林碳积累遥感
- 批准号:
RGPIN-2018-03851 - 财政年份:2022
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Estimating Forest Forest Structure to inform Predictive Ecosystem Mapping (PEM) Approaches across British Columbia
估算森林结构,为不列颠哥伦比亚省的预测生态系统绘图 (PEM) 方法提供信息
- 批准号:
554590-2020 - 财政年份:2021
- 资助金额:
$ 1.46万 - 项目类别:
Alliance Grants
Remote Sensing of Forest Carbon Accumulation
森林碳积累遥感
- 批准号:
RGPIN-2018-03851 - 财政年份:2021
- 资助金额:
$ 1.46万 - 项目类别:
Discovery Grants Program - Individual
Enhanced measurement approaches for assessing gains in spruce provenance trials
评估云杉种源试验收益的增强测量方法
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549568-2019 - 财政年份:2021
- 资助金额:
$ 1.46万 - 项目类别:
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Monitoring the COVID-19 Crisis from Space
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$ 1.46万 - 项目类别:
Alliance Grants
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Assessment of Marbled Murrelet Habitat using advanced remote sensing approaches.
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556296-2020 - 财政年份:2020
- 资助金额:
$ 1.46万 - 项目类别:
Alliance Grants
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