This is an exciting milestone for me. As of December 13th, my open access study on the Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data that was published in 2020 is the most read (22,885) and most cited (101) paper in the journal GIScience & Remote Sensing (IF 6.2). I’m really glad this paper has helped so many scientists, practitioners, and students in their own classification work using satellite data. And I hope it will help many more. I’ve detailed the journey of this paper in another blog post for anyone curious about my thought process before and during the research.