“Sufficient abundance and variety of field site sampling are crucial for obtaining an accurate reach-scale river classification of a regional stream network in support of scientific research and river management. However, many studies still randomly select field sites or only visit accessible streams. … This study developed a general and practical field site selection framework by incorporating machine learning in a human-in-the-loop manner.”

Find the paper and full list of authors in International Journal of Applied Earth Observation and Geoinformation.