Processor showcasing how to extract data from EarthData Store with premium cloud mask and publish a datacube on cloud storage
-
Updated
Jul 1, 2024 - Jupyter Notebook
Processor showcasing how to extract data from EarthData Store with premium cloud mask and publish a datacube on cloud storage
Google Earth Engine in JavaScript for Remote Sensing
Processor showcasing how to extract analytics (mostly vegetation indexes here), package them as a N dimension object that will be persisted on cloud storage.
Processor showcasing how the impact of an inputs or a practices applied on a sub area of a field using time series.
Processor showcasing how to generate alerts at regional level based on weather and vegetation status
Add a description, image, and links to the imagery-transformation topic page so that developers can more easily learn about it.
To associate your repository with the imagery-transformation topic, visit your repo's landing page and select "manage topics."