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Day: August 19, 2015

News Archive

Improved Forest Disturbance Monitoring via an Algorithm Ensemble

Forest resource managers, natural resource policy makers, and global change scientists need comprehensive, consistent, and up-to-date information on trends in forest cover and condition. This information is essential for understanding carbon budgets, predicting fire behavior, quantifying biodiversity, and hydrologic modeling.

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