Published May 2, 2023
| Version 1.0
Dataset
Open
Output data for the PyCoxMunk example notebooks
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)
Name | Size | Download all |
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md5:58c7ff5a3604338c11d52fe8abfe07bb
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1.3 GB | Preview Download |
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