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Improving vegetation characterization using advanced remote sensing technologies

Improving vegetation characterization using advanced remote sensing technologies
利用先进的遥感技术改善植被特征
批准号:
293301-2009
负责人:
Hu, Baoxin
金额:
$1.46万
依托单位:
依托单位国家:
加拿大
项目类别:
Discovery Grants Program - Individual
财政年份:
2010
资助国家:
加拿大
项目状态:
已结题
起止时间:
2010-01-01 至 2011-12-31

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中文摘要
翻译
准确描述植被冠层的空间分布和动态特征,对于森林可持续经营和环境保护具有重要意义。自遥感被确立为研究领域以来,植被遥感表征一直是研究的重要课题之一。近年来出现的新一代高分辨率(空间和光谱)遥感系统可能有助于更准确和有效地估计植被特征。这些技术的发展对研究人员提出了挑战,他们需要开发创新的遥感科学来解释来自这些数据源的信息。
英文摘要
Accurate characterization of the spatial distribution and dynamic of vegetation canopies is very important for sustainable forest management and environment protection. Remote sensing of vegetation characterization has been one of the important topics since remote sensing was established as a research field. The emergence of a new generation of high-resolution (spatially and spectrally) remote sensing systems in recent years could potentially allow for more accurate and efficient estimation of vegetation characteristics. These technology developments are challenging researchers to develop innovative remote sensing science to interpret information from such data sources.
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Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
  • 批准号:
    RGPIN-2021-03624
  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
    $2.19万
  • 财政年份:
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  • 负责人:
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  • 依托单位:
Smart deep learning by incorporating remote sensing domain knowledge in vegetation characterization
  • 批准号:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 财政年份:
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  • 负责人:
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  • 依托单位:
Development of innovative fusion strategies and methods to improve vegetation characterization from multi-sensor remotely sensed data
  • 批准号:
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  • 项目类别:
    Discovery Grants Program - Individual
  • 资助金额:
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  • 批准号:
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  • 项目类别:
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  • 资助金额:
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  • 财政年份:
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