The Dark Ecology Project
The goal of the Dark Ecology project is to develop computer vision and deep learning methods to measure bird migration using the US network of weather radars.
Team
Dark Ecology was a collaboration between scientists at the University of Massachusetts Amherst and the Cornell Lab of Ornithology, and has expanded to include other institutions.
- Daniel Sheldon, UMass, PI
- Subhransu Maji, UMass, Co-PI
- Steve Kelling, CLO, Co-PI
- Frank La Sorte, CLO, Co-PI
- Adriaan Dokter, CLO, Senior Personnel
- Andrew Farnsworth, CLO
- Kyle Horton, Colorado State
- Cecilia Nilsson, University of Copenhagen
- Benjamin M. Van Doren, CLO
- Kevin Winner, UMass, RA
- Garrett Bernstein, UMass, RA
- Tsung-Yu Lin, UMass, RA
- Pankaj Bhambhani, UMass, RA
- Abhay Mittal, UMass, RA
- Zezhou Cheng, UMass, RA
- Iman Deznabi, UMass, RA
Dark Ecology Dataset
The Dark Ecology Dataset is an open data set of historical bird migration activity in every US weather radar scan from 1995 to 2022.
Funding
The Dark Ecology project is sponsored by the National Science Foundation under Awards #1661259 and #1661329.
