Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
批准号:
342189-2007
负责人:
Staenz, Karl
金额:
$1.31万
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:
2007
资助国家:
加拿大
项目状态:
已结题
起止时间:
2007-01-01 至 2008-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Rangeland occupies 47% of the Earth's land surface and represents a major source of food production. There are 40 million acres of native rangeland in western Canada. Rangeland is crucial to sustain soil quality, enhance the availability of clean water, sequester carbon dioxide and maintain biodiversity. Improper rangeland management practices can cause severe degradation that can lead to irreversible changes of this ecosystem. There is an urgent need for timely information on the state of rangeland for the protection of these resources and long-term sustainability.The project's goal is to map fractional (percent) cover of surface material such as green and dead vegetation and soil from high-spectral resolution satellite data for monitoring rangeland in Alberta. For this purpose, specific remote sensing technologies will be developed to derive to the fractional products. They will directly act as important inputs for the rangeland management and, subsequently, will help to reduce the cost of rangeland monitoring and assessment and provide timely input for decision making by various levels of government. These products also provide the necessary support to properly manage this fragile ecosystem over time for optimization of economic and social values to ensure its long-term sustainability. The developed technologies will reach far beyond rangeland monitoring, benefiting other applications, such as climate change, geological mapping and forestry monitoring, where repeated large-scale mapping as provided by satellite systems is required. In addition, the research program provides important training opportunities for students at the leading edge of remote sensing related to an ecosystem important for our society.
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NSERC CREATE Training Program for Advanced Methods, Education and Training in Hyperspectral Science and Technology (AMETHYST)
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批准号:371155-2010
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2014
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负责人:Staenz, Karl
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依托单位:
NSERC CREATE Training Program for Advanced Methods, Education and Training in Hyperspectral Science and Technology (AMETHYST)
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批准号:371155-2010
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2013
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负责人:Staenz, Karl
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依托单位:
NSERC CREATE Training Program for Advanced Methods, Education and Training in Hyperspectral Science and Technology (AMETHYST)
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批准号:371155-2010
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项目类别:Collaborative Research and Training Experience
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资助金额:$21.86万
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财政年份:2012
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负责人:Staenz, Karl
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依托单位:
Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
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批准号:342189-2007
-
项目类别:Discovery Grants Program - Individual
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资助金额:$1.31万
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财政年份:2011
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负责人:Staenz, Karl
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依托单位:
NSERC CREATE Training Program for Advanced Methods, Education and Training in Hyperspectral Science and Technology (AMETHYST)
-
批准号:371155-2010
-
项目类别:Collaborative Research and Training Experience
-
资助金额:$21.86万
-
财政年份:2011
-
负责人:Staenz, Karl
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依托单位:
Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
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批准号:342189-2007
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
-
财政年份:2010
-
负责人:Staenz, Karl
-
依托单位:
Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
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批准号:342189-2007
-
项目类别:Discovery Grants Program - Individual
-
资助金额:$1.31万
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财政年份:2009
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负责人:Staenz, Karl
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依托单位:
Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring
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批准号:342189-2007
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项目类别:Discovery Grants Program - Individual
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资助金额:$1.31万
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财政年份:2008
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负责人:Staenz, Karl
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依托单位:
国内基金
海外基金
英文专著《FRACTIONAL INTEGRALS AND DERIVATIVES: Theory and Applications》的翻译
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批准号:12126512
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项目类别:数学天元基金项目
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资助金额:12.0万元
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批准年份:2021
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负责人:李常品
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依托单位:
分数阶傅里叶变换多分量图像数字水印研究
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批准号:60472044
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项目类别:面上项目
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资助金额:20.0万元
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批准年份:2004
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负责人:杨守义
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依托单位: