Remote sensing of Canadian grasslands: using vegetation biochemistry to monitor grassland health

Assessment of vegetation biochemical and biophysical parameters can lead to a better understanding of grassland conditions and further improve performance of ecosystem modeling. Some key vegetation biophysical parameters have been estimated from remote sensing data and used as inputs to ecosystem process models at various spatial and temporal resolutions. However, another set of important parameters, biochemical variables that control ecosystem biogeochemical processes, are not always available in a spatially-explicit format and have to be held constant in the models due to a lack of appropriate data with high spectral and spatial resolutions across a broad area. I propose to explore and develop cutting-edge remote sensing methods to estimate spatially-explicit grassland biochemical properties (e.g. chlorophyll concentrations and carotenoid concentrations) at multiple spatial scales. The proposed work will address the significant knowledge gap concerning remote sensing biochemistry and grassland ecosystem. It is anticipated that the output from this work will be an essential input for carbon sequestration studies, grassland ecosystem sustainable development, and climate change and variability impact studies in the Canadian mixed and tall grassland ecosystems, as well as a decision making tool for stakeholders.

Principal Investigator: Yuhong He

Researcher: Bing Lu

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