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Project description
Ocean Color
Search and subset NASA Ocean Color data
Free software: BSD license
Documentation: https://oceancolor.readthedocs.io.
NASA provides great resources to search and access its data. This package is intended to fill a gap in obtaining chlorophyll data to be compared with in situ observations by searching pixels within a given time and distance tolerance. For instance, it is used to calibrate chlorophyll fluorescence measurements from Spray underwater gliders.
The OceanColor package was developed at the Instrument Development Group of Scripps Institution of Oceanography in support for the California Underwater Glider Network operations, which is funded by:
Global Ocean Monitoring and Observing (GOMO) Program - NOAA
Southern California Coastal Ocean Observing System (SCCOOS)
Quickstart - terminal
Let’s install it
$ pip install OceanColor
or
$ conda install OceanColor
Let’s get the L2 chlorophyll measurements from MODIS-Aqua nearby Scripps’ Pier. On the terminal, let’s run:
$ OceanColor InRange \
--username=<earthdata-username> \
--password=<earthdata-password> \
--data-type=L2 \
--time-tolerance=12 \
--distance-tolerance=15e3 \
2019-05-21T12:00:00,32.867066,-117.257408
Using it inside Python is more flexible than in the terminal. Check the manual on how to use it.
Alternatives
pyModis is a well established and mature package. If you are not satisfied with OceanColor, consider using pyModis. If you are interested in working with full frames (granules), instead of the subset of pixels nearby some reference, pyModis might be a better solution for you.
History
Before release 0.1 expect gaps in the history description
0.0.9
Stable concurrent searches using loky
0.0.1 (2020-02-24)
First release on PyPI.
pre-release (since 2018)
Internal system used for calibration of measurements from Spray underwater glider operations;
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