These projects are machine learning applications that use Sentinel-2 satellite data and weather forecasts to model and predict environmental conditions in Armenia for forestry, satellite tasking, and irrigation management.
A predictive machine learning framework for assessing forest vulnerability to climate change in Armenia. It integrate...
A reproducibility package for a research paper on forecasting cloud-free imaging probability for optical Earth-observ...
A geospatial machine learning decision support system for irrigation management in Armenia. It predicts weekly irriga...