Accounting for Training Data Error in Machine Learning Applied to Earth Observations. - Arthur Elmes; Seyed Hamed Alemohammad; Ryan Avery; Kelly K. Caylor; J. Ronald Eastman; Lewis Fishgold; Mark A. Friedl; Meha Jain; Divyani Kohli; Juan Carlos Laso Bayas; Dalton D. Lunga; Jessica L. McCarty; et al. (Remote. Sens., 2020)

Crossing the Great Divide: Bridging the Researcher-Practitioner Gap to Maximize the Utility of Remote Sensing for Invasive Species Monitoring and Management. - Kelsey Parker; Arthur Elmes; Peter Boucher; Richard A. Hallett; John E. Thompson; Zachary Simek; Justin Bowers; Andrew B. Reinmann (Remote. Sens., 2021)

Remote Sensing and GIS in Natural Resource Management: Comparing Tools and Emphasizing the Importance of In-Situ Data. - Sanjeev Sharma; Justin O. Beslity; Lindsey Rustad; Lacy J. Shelby; Peter T. Manos; Puskar Khanal; Andrew B. Reinmann; Churamani Khanal (Remote. Sens., 2024)