Benchmark Dataset Accepted To Plos Computational Biology!

Congratulations to our labmates and collaborators: Ben Weinstein, Sarah Graves, Sergio Marconi, Aditya Singh, Alina Zare, Dylan Stewart, Stephanie Bohlman and Ethan P. White!  Their paper, “A benchmark dataset for individual tree crown delineation in co-registered airborne RGB, LiDAR and hyperspectral imagery from the National Ecological Observation Network”, was recently accepted to PLOS Computational Biology.  In the paper, the authors introduce a novel benchmark dataset to assess individual tree delineation methods.  Their benchmark considers multiple modalities and thus provides a robust platform for evaluation.

Check out the pre-print here!