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Code Gallery

Examples demonstrating accessing and working with ocean satellite data from ERDDAP servers.

To view all tutorials, visit our Github.

basic
PYTHON, R, MATLAB

Basics of Working with Satellite Data

Learn how to access ERDDAP data, handle NetCDF files, and create SST maps and time series.

View in Github

Extract Data Within Boundary
PYTHON, R, MATLAB

Extract Data Within a Boundary

Learn how to download SST time series data from an ERDDAP server, mask the data to retain only the data within an irregular geographical boundary (polygon), and plot the yearly seasonal cycle within the boundary.

View in Github

Telemetry Data
PYTHON, R

Matchup Satellite Data to Telemetry Data

Learn how to extract satellite data around a set of points defined by longitude, latitude, and time coordinates, like that produced by an animal telemetry tag, and ship track, or a glider tract.

View in Github

Time Series Comparison
PYTHON, R, MATLAB

Compare Time Series from Different Sensors

Learn how to extract a time-series of monthly satellite chlorophyll data for the period of 1997-present from four different monthly satellite datasets.

View in Github

Match Satellite Buoy
R

Match Up Satellite and Buoy Data

Learn how to match up satellite data to in situ buoy data using rerddap and rxtracto R packages.

View in Github

Marine Habitat
PYTHON, R

Define a Marine Habitat

Learn how to map satellite sea surface temperature and overlay the 17.5¡C and 18.5¡C contours associated with loggerhead turtle bycatch product, TurtleWatch.

View in Github

Convert Longitude
PYTHON

Convert -180+180 to 0-360 Longitude

Learn how to use datasets with -180 to +180 longitude values to work within regions that cross the antimeridian.

View in Github

Virtual Buoy
PYTHON, R

Create a Virtual Buoy with Satellite Data

Learn how to create a time series from satellite data to gap-fill or replace buoy data.

View in Github

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