Improving the characterization of permafrost using polarimetric SAR interferometry (pol-inSAR)
使用偏振 SAR 干涉测量 (pol-inSAR) 改善永久冻土的表征
基本信息
- 批准号:513708-2017
- 负责人:
- 金额:$ 2.06万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Collaborative Research and Development Grants
- 财政年份:2018
- 资助国家:加拿大
- 起止时间:2018-01-01 至 2019-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
The goal of this project is to exploit the Pol-InSAR (Polarimetric Synthetic Aperture RADAR Interferometry) to improve permafrost characterization. This project is motivated by the growing demands for accurate characterization of the spatial distribution and dynamics of permafrost in the Canadian North and is enabled by the availability of advanced remotely sensed data, such as those from RADASAT-2 and the RADARSAT Constellation Mission (RCM) to be launched in 2018. Accurate information and scientific knowledge of the status and future trends of permafrost in the North are fundamentally important. They are needed to determine the vulnerability of permafrost systems to global warming and to design measures and effective management policies for the protection of infrastructures and ecosystems and for the minimization of other adverse effects of permafrost thawing. To achieve the goal of this project, we will fulfill the following specific objectives: develop advanced methodologies to accurately characterize the topographic displacements due to the seasonal changes in permafrost regions by exploiting the Pol-InSAR technology, and carry out a comprehensive study on the prediction of active layer thickness using features derived from data acquired by RADARSAT data. ****The outcome of this project will advance the research and development of the Pol-InSAR technology using data sets from RADARSAT-2 and its application in permafrost characterization. It will significantly contribute to understanding the effects of global climate change on permafrost landscapes and associated ecosystems. The developed methodologies can be transferred to our industrial partner, PCI Geomatics Inc, for potential commercialization. Ultimately, this will lead to national and potentially international economic benefits. The project will also provide training opportunities for highly qualified personnel to enhance their prospects for employment upon the completion of their higher education programs.**********
本项目的目标是利用极化InSAR(极化合成孔径雷达干涉测量),以改善冻土表征。这一项目的动机是,对准确描述加拿大北部永久冻土的空间分布和动态的需求日益增长,并因可获得先进的遥感数据而得以实施,如雷达卫星2号和将于2018年发射的雷达卫星星座使命(RCM)提供的数据。关于北方永久冻土状况和未来趋势的准确信息和科学知识至关重要。 需要这些数据来确定永久冻土系统对全球变暖的脆弱性,并制定措施和有效的管理政策,以保护基础设施和生态系统,尽量减少永久冻土融化的其他不利影响。为了实现本项目的目标,我们将实现以下具体目标:开发先进的方法,通过利用Pol-InSAR技术精确表征由于季节变化引起的冻土地区地形位移,并利用雷达卫星数据获取的数据进行活动层厚度预测的综合研究。**** 该项目的成果将推动使用雷达卫星2号数据集的Pol-InSAR技术的研究和开发及其在永冻层特性方面的应用。 它将大大有助于了解全球气候变化对永久冻土景观和相关生态系统的影响。 开发的方法可以转移到我们的工业合作伙伴PCI Geomatics Inc.,以进行潜在的商业化。最终,这将带来国家和潜在的国际经济利益。该项目还将为高素质人员提供培训机会,以提高他们在完成高等教育课程后的就业前景。
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)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
Hu, Baoxin其他文献
An individual tree crown delineation method based on multi-scale segmentation of imagery
- DOI:
10.1016/j.isprsjprs.2012.04.003 - 发表时间:
2012-06-01 - 期刊:
- 影响因子:12.7
- 作者:
Jing, Linhai;Hu, Baoxin;Li, Jili - 通讯作者:
Li, Jili
Improving the efficiency and accuracy of individual tree crown delineation from high-density LiDAR data
- DOI:
10.1016/j.jag.2013.06.003 - 发表时间:
2014-02-01 - 期刊:
- 影响因子:7.5
- 作者:
Hu, Baoxin;Li, Jili;Judah, Aaron - 通讯作者:
Judah, Aaron
Estimating crop stresses, aboveground dry biomass and yield of corn using multi-temporal optical data combined with a radiation use efficiency model
- DOI:
10.1016/j.rse.2010.01.004 - 发表时间:
2010-06-15 - 期刊:
- 影响因子:13.5
- 作者:
Liu, Jiangui;Pattey, Elizabeth;Hu, Baoxin - 通讯作者:
Hu, Baoxin
Comparative study between a new nonlinear model and common linear model for analysing laboratory simulated-forest hyperspectral data
- DOI:
10.1080/01431160802558659 - 发表时间:
2009-01-01 - 期刊:
- 影响因子:3.4
- 作者:
Fan, Wenyi;Hu, Baoxin;Li, Mingze - 通讯作者:
Li, Mingze
Automated Delineation of Individual Tree Crowns from Lidar Data by Multi-Scale Analysis and Segmentation
- DOI:
10.14358/pers.78.11.1275 - 发表时间:
2012-12-01 - 期刊:
- 影响因子:1.3
- 作者:
Jing, Linhai;Hu, Baoxin;Noland, Thomas - 通讯作者:
Noland, Thomas
Hu, Baoxin的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('Hu, Baoxin', 18)}}的其他基金
Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
将遥感领域知识融入植被表征中的智能深度学习
- 批准号:
RGPIN-2021-03624 - 财政年份:2022
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
将遥感领域知识融入植被表征中的智能深度学习
- 批准号:
RGPIN-2021-03624 - 财政年份:2021
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
开发创新的融合策略和方法,以改善多传感器遥感数据的植被特征
- 批准号:
RGPIN-2015-06563 - 财政年份:2019
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
Improving the characterization of permafrost using polarimetric SAR interferometry (pol-inSAR)
使用偏振 SAR 干涉测量 (pol-inSAR) 改善永久冻土的表征
- 批准号:
513708-2017 - 财政年份:2019
- 资助金额:
$ 2.06万 - 项目类别:
Collaborative Research and Development Grants
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
开发创新的融合策略和方法,以改善多传感器遥感数据的植被特征
- 批准号:
RGPIN-2015-06563 - 财政年份:2018
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
A GIS-based system for assessing emerald ash borer infestation
基于 GIS 的白蜡虫侵染评估系统
- 批准号:
490711-2015 - 财政年份:2018
- 资助金额:
$ 2.06万 - 项目类别:
Collaborative Research and Development Grants
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
开发创新的融合策略和方法,以改善多传感器遥感数据的植被特征
- 批准号:
RGPIN-2015-06563 - 财政年份:2017
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
A GIS-based system for assessing emerald ash borer infestation
基于 GIS 的白蜡虫侵染评估系统
- 批准号:
490711-2015 - 财政年份:2017
- 资助金额:
$ 2.06万 - 项目类别:
Collaborative Research and Development Grants
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
开发创新的融合策略和方法,以改善多传感器遥感数据的植被特征
- 批准号:
RGPIN-2015-06563 - 财政年份:2016
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
开发创新的融合策略和方法,以改善多传感器遥感数据的植被特征
- 批准号:
RGPIN-2015-06563 - 财政年份:2015
- 资助金额:
$ 2.06万 - 项目类别:
Discovery Grants Program - Individual
相似海外基金
Improved characterization of permafrost vulnerability to support decision makers, infrastructure, and community stewardship in the Northwest Territories
改进永久冻土脆弱性的描述,以支持西北地区的决策者、基础设施和社区管理
- 批准号:
521584-2018 - 财政年份:2020
- 资助金额:
$ 2.06万 - 项目类别:
Strategic Projects - Group
Characterization of microbial assemblages associated with large-scale thawing of permafrost
与大规模永久冻土融化相关的微生物群落特征
- 批准号:
19K20462 - 财政年份:2019
- 资助金额:
$ 2.06万 - 项目类别:
Grant-in-Aid for Early-Career Scientists
Improved characterization of permafrost vulnerability to support decision makers, infrastructure, and community stewardship in the Northwest Territories
改进永久冻土脆弱性的描述,以支持西北地区的决策者、基础设施和社区管理
- 批准号:
521584-2018 - 财政年份:2019
- 资助金额:
$ 2.06万 - 项目类别:
Strategic Projects - Group
Improving the characterization of permafrost using polarimetric SAR interferometry (pol-inSAR)
使用偏振 SAR 干涉测量 (pol-inSAR) 改善永久冻土的表征
- 批准号:
513708-2017 - 财政年份:2019
- 资助金额:
$ 2.06万 - 项目类别:
Collaborative Research and Development Grants
Improved characterization of permafrost vulnerability to support decision makers, infrastructure, and community stewardship in the Northwest Territories******
改进对永久冻土脆弱性的描述,以支持西北地区的决策者、基础设施和社区管理*****
- 批准号:
521584-2018 - 财政年份:2018
- 资助金额:
$ 2.06万 - 项目类别:
Strategic Projects - Group
Multi-Scale Characterization of Polar Permafrost Landscapes by Airborne and Satellite Remote Sensing and In-Situ Geophysical Measurements
通过机载和卫星遥感以及原位地球物理测量对极地永久冻土景观进行多尺度表征
- 批准号:
329721376 - 财政年份:2017
- 资助金额:
$ 2.06万 - 项目类别:
Research Grants
Characterization of the carotenoids produced by subzero-growing cryophilic Arctic and Antarctic permafrost bacteria
低温生长的北极和南极永久冻土细菌产生的类胡萝卜素的表征
- 批准号:
484757-2015 - 财政年份:2015
- 资助金额:
$ 2.06万 - 项目类别:
Canadian Graduate Scholarships Foreign Study Supplements
Molecular-level biogeochemical characterization of permafrost-derived organic matter deposition in sediments from a high arctic watershed
北极高流域沉积物中永久冻土源有机物沉积的分子水平生物地球化学特征
- 批准号:
442246-2013 - 财政年份:2015
- 资助金额:
$ 2.06万 - 项目类别:
Postgraduate Scholarships - Doctoral
Molecular-level biogeochemical characterization of permafrost-derived organic matter deposition in sediments from a high arctic watershed
北极高流域沉积物中永久冻土源有机物沉积的分子水平生物地球化学特征
- 批准号:
442246-2013 - 财政年份:2014
- 资助金额:
$ 2.06万 - 项目类别:
Postgraduate Scholarships - Doctoral
Characterization of Thaw Patterns in Discontinuous Permafrost, Yukon
育空地区不连续永久冻土融化模式的特征
- 批准号:
464719-2014 - 财政年份:2014
- 资助金额:
$ 2.06万 - 项目类别:
Alexander Graham Bell Canada Graduate Scholarships - Master's