Understanding grassland ecosystem health condition under integrated driving factors using remote sensing approach

利用遥感方法了解综合驱动因素下的草原生态系统健康状况

• 批准号: RGPIN-2015-06404
• 负责人: Guo, Xulin
• 金额: $ 1.6万
• 依托单位: University of Saskatchewan
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2015
• 资助国家: 加拿大
• 起止时间: 2015-01-01 至 2016-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=591039
• 关键词: Understanding; grassland; ecosystem; health; condition

BACKGROUND: Grassland has been identified as a critical ecosystem as it can be transformed from a carbon sink into a carbon source via inappropriate management practices. Current grassland studies emphasize the influences of individual factors on grassland ecosystems but the components of non-photosynthetic vegetation (NPV) and biological soil crust (BSC) enhance the complexity of this ecosystem, which were ignored by most remote sensing studies because of their difficulty in being measuring spectrally. Accurately estimating the amount of NPV helps determine the carrying capacity for any pasture in winter, which is still an untouched field for remote sensing. The program therefore intends to monitor and evaluate the condition of grassland health by considering the integrated factors from different components via remote sensing, GIS, and spatial analytical techniques.

背景技术背景：草地已被确定为一个重要的生态系统，因为它可以通过不适当的管理实践从碳汇转化为碳源。目前草地生态系统的研究主要强调单个因子对草地生态系统的影响，而非光合植被和生物土壤结皮的组成增加了草地生态系统的复杂性，这两个因子因光谱难以测量而被大多数遥感研究所忽视。准确估计净现值有助于确定冬季任何牧场的承载力，这仍然是一个遥感未触及的领域。因此，该计划打算监测和评估草原健康状况，考虑通过遥感，地理信息系统和空间分析技术，从不同的组成部分的综合因素。