Remote Sensing of Vegetation Biophysical and Biochemical Attributes as Indicators of Ecosystem Condition and Processes

植被生物物理和生化属性遥感作为生态系统状况和过程的指标

• 批准号: 130596-2012
• 负责人: King, Douglas
• 金额: $ 2.33万
• 依托单位: Carleton University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2016
• 资助国家: 加拿大
• 起止时间: 2016-01-01 至 2017-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=593374
• 关键词: Remote; Sensing; Vegetation; Biophysical; Biochemical

Vegetation and water are critical resources that are being impacted by environmental change such as land use intensification, pollution and climate change. As a consequence, environmental land management requires improved understanding of vegetation and water dynamics for management of forests, wetlands, and protected/sensitive areas. An important aspect of this is a need for detailed spatio-temporal information on these resources. My long-term research goal is: Develop new knowledge on the spatial distribution and temporal dynamics of vegetation and water for use in environmental land management. I work in forest, wetland and tundra environments, integrating field and remote sensing studies at local to regional scales. Building on a research foundation (1983- present) in high to moderate resolution remote sensing for vegetation composition, structure, health and habitat mapping, new research is proposed in these three environments. The forest research will develop an index of forest complexity that can be used as an indicator of habitat resources. It will include forest structure parameters derived from high resolution satellite imagery and LiDAR data along with forest composition derived from image classification. The modeling results will be analyzed over time to map changes that are occurring in relation to known disturbance mechanisms such as inundation and insect infestation. In wetlands research, capability for assessment of surface water dynamics and flood attenuation, vegetation diversity, anthropogenic impact and rare wetland and vegetation groups will be developed using multiple scale optical and Radarsat-2 imagery. In arctic research, vegetation biochemistry (specifically chlorophyll content) and structure will be estimated and mapped using hyperspectral satellite and Radarsat-2 imagery. The research will produce significant contributions at the forefront of the vegetation and remote sensing sciences as well as practical environmental knowledge and methods. These will be of direct use to the collaborating organizations (Environment Canada, the Ontario Ministry of Natural Resources and the National Capital Commission) and more broadly in environmental land management across Canada and internationally.

植被和水是受环境变化（例如土地使用加强，污染和气候变化）影响的关键资源。结果，环境土地管理需要提高对植被和水动力学的了解，以管理森林，湿地和受保护/敏感地区。一个重要的方面是需要有关这些资源的详细时空信息。我的长期研究目标是：在环境土地管理中使用有关植被和水的空间分布和时间动态的新知识。我在森林，湿地和苔原环境中工作，在当地至区域尺度上整合田间和遥感研究。在这三种环境中提出了新的研究，以研究基金会（1983年至今）建立在植被组成，结构，健康和栖息地映射的高分辨率遥感中，在这三种环境中提出了新的研究。森林研究将开发出森林复杂性的指数，可以用作栖息地资源的指标。它将包括从高分辨率卫星图像和激光雷达数据中得出的森林结构参数，以及来自图像分类的森林组成。随着时间的推移，将分析建模结果，以绘制与已知障碍机制（例如淹没和昆虫侵扰）有关的变化。在湿地研究中，将使用多个规模的光学和Radarsat-2图像来开发地表水动力学和洪水衰减，植被多样性以及稀有湿地和植被组的能力。在北极研究中，将使用高光谱卫星和Radarsat-2图像估算和映射植被生物化学（特别是叶绿素含量）和结构。这项研究将在植被和遥感科学以及实际环境知识和方法的最前沿产生重大贡献。这些将直接用于合作组织（加拿大环境部，安大略省自然资源部和国家首都委员会），在加拿大和国际上更广泛地用于环境土地管理。