Zak Ratajczak

Combining machine learning and publicly available aerial data (NAIP and NEON) to achieve high-resolution remote sensing of grass-shrub-tree mosaics in the Central Great Plains (U.S.A.)

This study combines machine learning with NAIP and NEON aerial data to accurately detect woody plant encroachment in the Central Great Plains, finding NEON-based models slightly outperform NAIP but both are effective with large training datasets.