I am no longer actively working on this project. If this interests you, feel free to reach out, submit a PR, etc.
This tool is designed to streamline the process of acquiring satellite imagery for wildfire research in California. By leveraging the capabilities of the GIBS API, it allows users to query a comprehensive database of California wildfires and dynamically generates API requests based on specific geodatabase attributes. The result is a collection of image layers highly relevant to wildfire studies and response planning.
-Run script that automatically checks for updates
-Option for writing images to a directory sorted by layer, rather than date
Dynamic API Requests: Automatically generates GIBS API requests tailored to the selected wildfire attributes. Highly Relevant Imagery: Retrieves satellite imagery layers focused on aspects critical to wildfire research, such as burn area, smoke dispersion, and vegetation health.
owslib.wms requests pyproj datetime geopandas matplotlib
NASA Global Imagery Browser Service https://nasa-gibs.github.io/gibs-api-docs/available-visualizations/
CalFire 2022 Historical Wildfire Perimeters Geodatabase https://hub-calfire-forestry.hub.arcgis.com/search