Connecting NDVI, Groundwater, and Stream Disconnection During Drought: Case Study along the Rio Grande
The purpose of this repository is to be a hub for working with Planet Data and also a final deliverable for the data challenge 2023.
In this repository there is:
- DataChallengeReport_RioGrandeAnalysis.ipynb: A python notebook for analyzing Planet data and creating NDVI Products. This also contains final Results
- RioGrandeAnalysis_Expanded.ipynb: This is a python notebook similar to the "DataChallengeReport...", however it is expanded to include the ability to create areas of interest and order data from planet.
- AOI: Files for areas of interest
- data: place to store order files from planet
- Tutorials: Tutorials from Planet Jupyter notebooks repository
- outputfiles: Location of output files from analysis
- Launch virtual machine on cyverse
- Navigate to /home/jovyan/data-store
- git clone repo
- install environment if planet environment is not currently activated
- Launching Planet Jupyter Labs on cyverse automatically activates planet environment
- update:* lies, to activate the environment paste conda install -f ../environment.yml
- Launching Planet Jupyter Labs on cyverse automatically activates planet environment
Quick access committing: git commit -m "words here about what crimes you committed"