The Scalable Serverless Workflows project has updated one of their Jupyter Notebooks to run on Binder, showing an example of how they used Landsat to identify and show spatial and temporal changes to flowering hotspots in alpine meadows. Go to their GitHub repo and select “Launch Binder,” head over to the ‘notebooks' folder and select ‘Runnable-Landsat-Workflow.ipynb.'
This project was funded as an ESIP Lab Summer Incubator 2019 Project: “Scalable Serverless Workflows for Processing Cubesat Imagery to IdentifyFlowering Hotspots in Sub Alpine Meadows.” Find their full proposal here.
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