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Near Real-Time Forecasting of Fall Color Phenology

Near Real-Time Forecasting of Fall Color Phenology

Public Ongoing Research Project

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Public Ongoing Research Project

Active 2 days ago

Autumn leaf coloration is a sensitive indicator of ecosystem response to climate variability and... View more

Public Ongoing Research Project

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Autumn leaf coloration is a sensitive indicator of ecosystem response to climate variability and change across temperate and boreal forests. This project will integrate field observations, satellite remote sensing, and climate data to monitor and forecast fall color phenology. Field observations will be used to calibrate and validate remotely sensed estimates of key phenological stages, including the onset, peak, intensity, and duration of autumn coloration. These observations will be integrated with climate variables, including temperature, precipitation, and drought indices, to quantify their influence on interannual variability in the timing and intensity of fall foliage. By identifying the climatic drivers of autumn phenology and characterizing spatiotemporal patterns under a changing climate, this project will develop a near real-time forecasting framework to predict the timing, duration, and intensity of fall foliage, improving ecosystem monitoring and advancing our understanding of climate impacts on forest phenology.

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