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Ocean Color Learning Resources

Webinars, tutorials, data recipes and more to help you work with Ocean Color.
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Ocean Data Help Hub

This regularly updated collection of Jupyter notebooks is meant to help users access, visualize, and analyze OB.DAAC data products with Python.
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GitHub Repository
Three-panel figure comparing EMIT and PACE OCI observations over a wildfire region in southeastern Australia. The left panel shows a high-resolution stretched RGB EMIT image with detailed terrain, vegetation, burn scars, and surrounding agricultural fields. The center panel displays surface reflectance spectra for a selected location (approximately 142.3°E, 37.0°S), comparing EMIT pre-fire and post-fire observations (solid green and orange lines) with corresponding PACE OCI pre-fire and post-fire observatio

Processing PACE and EMIT Data

This tutorial will demonstrate how to preprocess the EMIT and PACE reflectance data so that they can be used together to investigate science questions. Using the emit_tools and pace_tools modules, the data are orthorectified, geolocated, merged where needed, and resampled onto a common grid, enabling direct comparison of observations from the two sensors.
External Resource
Jupyter Notebook
July 14, 2026
The folium map above highlights the differences in the observation footprints of the two instruments while clearly showing where each EMIT granule falls within its corresponding PACE OCI granule. For the observations on November 14, 2024, the EMIT granules are located near the center of the PACE OCI granule and collectively cover the full extent of the park. In contrast, most of the other EMIT granules lie near the edges of their paired OCI granules.

Find Colocated PACE and EMIT Data

This tutorial demonstrates how to find colocated EMIT and PACE Ocean Color Instrument (OCI) granules using the earthaccess Python library.
External Resource
Jupyter Notebook
July 14, 2026
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