Extraction of fractional cover from spaceborne hyperspectral data for rangeland monitoring

从星载高光谱数据中提取分数覆盖用于牧场监测

• 批准号: 342189-2007
• 负责人: Staenz, Karl
• 金额: $ 1.31万
• 依托单位: University of Lethbridge
• 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
• 起止时间: 2007-01-01 至 2008-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=364042
• 关键词: Extraction; fractional; cover; spaceborne; hyperspectral

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.

牧场占地球陆地面积的47%，是粮食生产的主要来源。加拿大西部有4000万英亩的天然牧场。牧场对于保持土壤质量、增加清洁水的供应、封存二氧化碳和维持生物多样性至关重要。不当的牧场管理做法可造成严重退化，从而导致这一生态系统发生不可逆转的变化。为了保护这些资源和长期可持续性，迫切需要及时获得有关牧场状况的信息，该项目的目标是利用高光谱分辨率卫星数据绘制绿色和死亡植被及土壤等地表物质覆盖率（百分比）图，以监测阿尔伯塔的牧场。为此，将开发特定的遥感技术来获取部分产品。它们将直接作为牧场管理的重要投入，从而有助于减少牧场监测和评估的费用，并为各级政府的决策提供及时的投入。这些产品还提供了必要的支持，以便随着时间的推移妥善管理这一脆弱的生态系统，以优化经济和社会价值，确保其长期可持续性。所开发的技术将远远超出牧场监测的范围，有利于其他应用，如气候变化、地质测绘和林业监测，在这些领域需要卫星系统提供的重复大规模测绘。此外，该研究计划为处于遥感前沿的学生提供了重要的培训机会，这些学生与我们社会重要的生态系统有关。