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Abstract: Boreal Forest Regrowth Stage Classification Using Multi-Sensor Remote Sensing and Machine Learning (AGU25)

Boreal Forest Regrowth Stage Classification Using Multi-Sensor Remote Sensing and Machine Learning

Nuerbiye Muhetaer1, Vasit Sagan1, Derek Tesser1, Felipe A. Lopes1 and Alessandro Farbo2, (1)Saint Louis University, Remote Sensing Laboratory, Department of Earth, Environmental and Geospatial Science, St. Louis, United States, (2)University of Torino, Department of Agriculture, Forestry and Food Sciences, Torino, Italy
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