Improved Forest Disturbance Monitoring via an Algorithm Ensemble
August 19, 2015
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.
