Notebooks
A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets
This repository provides tools for accessing and working with ITS_LIVE data.
A NASA MEaSUREs project to provide automated, low latency, global glacier flow and elevation change datasets
Overview
Comments
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expand CSV export file
opened by betolink 7Originally we were only including the current variable in the exported files, now we are expanding them into the most relevant variables regardless of the current used in the plot. All the exported files will now have:
mid_date , v, v_error, vx, vy, time_delta, satellite, mission, lon, lat -
Markdev
opened by markf6 1Added min_separation_days to plot config (Ted can now set a floor for dt on plots); Also fixed instructions for local install - environment.yml had been put into the binder subdirectory, but the instructions in the notebook still said it was in the notebooks subdirectory. ( Conda command line set to -f binder/environment.yml )
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Mark
opened by markf6 1Created a start on a datacube_tools library for interaction with S3 data cubes; modified velocity_widget.py to use the new DATACUBETOOLS class; updated the notebook example datacube interaction to use this as well. This example will need further update to show users how to discover a cube from a given location, but it has the same functionality as the original now.
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updating notebook
opened by betolink 0Refactored notebook to encapsulate the functionality inside a class, still work in progress. We can pass a configuration object to set what variable we want to plot and if we want the plot color coding by selected points or by satellite.
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adding csv imports to widget
opened by betolink 3- we can import CSV files with lat lon coordinates and see them in the widget
the coordinate file should look like:
lat,lon 70.3456,-45.0856 71.0763,-45.0235
Owner
NASA Jet Propulsion Laboratory
A world leader in the robotic exploration of space
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