APA (7th ed.) Citation

Noble, B., & Ratajczak, Z. Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics. MDPI AG.

Chicago Style (17th ed.) Citation

Noble, Brynn, and Zak Ratajczak. Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics. MDPI AG.

MLA (9th ed.) Citation

Noble, Brynn, and Zak Ratajczak. Combining Open-Source Machine Learning and Publicly Available Aerial Data (NAIP and NEON) to Achieve High-Resolution High-Accuracy Remote Sensing of Grass–Shrub–Tree Mosaics. MDPI AG.