A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
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Updated
Mar 2, 2026 - Python
A Python Package for Visualizing and Analyzing Hyperspectral Data in Coastal Environments
A demonstration and practice project for the PACE Data Hackweek
Unified algorithm combining DT, DB, and OMI UV aerosol algorithm to be applied to PACE OCI sensor.
assess the impact of 2024 Central American fires on surface ocean properties in the Gulf of Mexico
Python methods to estimate phytoplankton pigment concentrations from PACE satellite remote sensing reflectance data.
Launchpad for Sarasota Science and Technology Society (STS) Processing of STELLA Spectrometer, Landsat and PACE Ocean Data
Creating tutorials and tools for helping end users work with PACE data.
We have created a Jupyter Notebook to use with NASA PACE data employing HyperCoast to download the data and then view and process these hyperspectral data using traditional python code. We have also attempted to calculate chlorophyll a too in this notebook that is CoLab ready.
Extending the long-running CyAN CI project to the newly launched NASA PACE/OCI
PACE Hackweek 2024 project: FLARP (FLuorescence Analysis and Research with PACE)
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