This repository maintains CHAFS deployment files for the CHC-ROI server.
Current architecture:
Operational crop yield forecasts are publicly available at https://data.chc.ucsb.edu/people/dlee/viewer/.
More details will be provided soon!
If you use CHAFS in your research, please acknowledge its use with the following citations:
D. Lee, F. Davenport, S. Shukla, G, Husak, C, Funk, L. Harrison, A. McNally, M. Budde, J. Rowland, & J. Verdin. (2022).
Maize yield forecast using earth observation and machine learning for Sub-Saharan Africa. Global Food Security. 33, 100643.
https://doi.org/10.1016/j.gfs.2022.100643.
If you have any questions, please contact to Donghoon Lee (donghoonlee@ucsb.edu).