Integrated model and satellite remote sensing of physiology, ecology, and optics of vegetation canopies

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I created a numerical model which describes vegetation canopy (such as forest or crops) with a mixture of species changing seasonally. This model can connect "how the vegetation looks" for satellite sensors, to the vegetation phisiology. For its basis, I conducted a longterm continuous observation of vegetation spectrum. As a result, I showed robustness and utility of the spectral index using mid-infrared light with the continuous long-term in-situ dataset. By using the satellite data, I found yearly changes of vegetation phenology, particularly the linkage between spring onset and autumn offset in 2009.