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Published May 2, 2023 | Version 1.0
Dataset Open

Output data for the PyCoxMunk example notebooks

  • 1. National Centre for Earth Observation

Description

The PyCoxMunk python library allows users to calculate the expected sea surface reflectance under a given set of geometric and meteorological conditions. It is designed for use in satellite remote sensing and supports the majority of common satellite platforms.

 

This archive contains data related to the example notebooks distributed with PyCoxMunk. Here you can find:

1) An input dataset for the SLSTR example notebook.

2) Output files for the SLSTR, SEVIRI and GOES example notebooks.

Files

PyCoxMunk_Example_Data.zip

Files (1.3 GB)

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md5:58c7ff5a3604338c11d52fe8abfe07bb
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Additional details

Funding

SatCAT: Using satellite data to improve safety and routing efficiency in the aviation industry. NE/R013144/1
UK Research and Innovation
NCEO LTS-S NE/R016518/1
UK Research and Innovation