Remote Sensing

遥感

• 批准号: CRC-2018-00249
• 负责人: Coops, Nicholas
• 金额: $ 14.57万
• 依托单位: University of British Columbia
• 依托单位国家: 加拿大
• 项目类别: Canada Research Chairs
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=695926
• 关键词: Remote; Sensing

The overall aim is to increase our understanding of the interaction between vegetation pigments, biochemistry and forest stand structure and how remote sensing technologies can be used to estimate forest vegetation properties across spatial and temporal scales. My first objective focuses on short and long term pigment changes due to the xanthophyll cycle, and seasonally changing pigment pool cycles. Second, I will use Light Detection and Ranging data, forest architecture models to measure and model vertical light regimes and finally, examine if existing forest models can be modified to incorporate dynamic estimates of light use efficiency.

总体目标是增加我们对植被色素、生物化学和森林林分结构之间的相互作用的了解，以及如何利用遥感技术在空间和时间尺度上估计森林植被特性。我的第一个目标集中在短期和长期的色素变化，由于叶黄素循环，和季节性变化的色素池周期。 其次，我将使用光探测和测距数据，森林结构模型来测量和模拟垂直光制度，最后，检查是否可以修改现有的森林模型，以纳入光利用效率的动态估计。