s1tbx
isce2
| s1tbx | isce2 | |
|---|---|---|
| 1 | 1 | |
| 218 | 469 | |
| 0.0% | 1.1% | |
| 1.7 | 5.8 | |
| 2 months ago | 8 days ago | |
| Java | Python | |
| GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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s1tbx
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Fleets of radar satellites are measuring movements on Earth like never before
ESA freely distributes all data acquired by the Sentinel program from here: https://scihub.copernicus.eu/ There are also multiple partner sites with the data, including cloud providers that can you a VM with the data files already mounted.
Software is a bit harder, for simple interferograms of two measurements you can just use open source Sentinel-1 toolbox ( https://github.com/senbox-org/s1tbx ) to align, diff, subtract geometric corrections based on an elevation model and convert the measurements to geographic coordinates. This will be enough for seeing large scale motion, like earthquakes. For better quality processing you need multi-temporal InSAR which can estimate atmospheric phase delay, height of persistent reflectors which will cause a geometric phase difference due to slight differences in measurement location (measurement baseline). There is some open source software available for this (e.g. StaMPS), but I can't vouch for its capabilities.
isce2
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Fleets of radar satellites are measuring movements on Earth like never before
The following can be used to process InSAR data: https://github.com/isce-framework/isce2
An update is in progress:
What are some alternatives?
hud-manager - All-in-one broadcast & HUDs Manager
isce3 - InSAR Scientific Computing Environment ***NOTICE - THIS REPOSITORY IS CURRENTLY A MIRROR OF AN INTERNALLY HOSTED PROJECT. EXTERNAL PULL REQUESTS ARE NOT CURRENTLY BEING ACCEPTED.***
snapmacro - Free and Open source Cross-platform bot creator with a new scripting language called snap to interact with the mouse, keyboard, and screen using Snap scripting language
nocom-explanation - block game military grade radar
eoreader - Remote-sensing opensource python library reading optical and SAR sensors, loading and stacking bands, clouds, DEM and spectral indices in a sensor-agnostic way.