Jump-Start SAR Data Analysis in the Cloud with ASF’s OpenSARLab

NASA's Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC) developed the OpenSARLab service to remove common obstacles that data users may encounter as they learn how to access and work with Synthetic Aperture Radar (SAR) data. SAR datasets are large files-which is important when considering data download and storage options. Once a scientist has his or her data, working with the data can require the installation of complicated computing environments. OpenSARLab aims to improve upon computing environment capabilities by providing free, limited access to a cloud-hosted Jupyter Hub that sits alongside ASF data archives in Amazon Web Services (AWS), making the transfer of SAR data to users’ persistent storage volumes fast and free.
Additional benefits of OpenSARLab include access to an open library of data recipes in the form of Jupyter Notebooks-allowing users to explore a variety of SAR data analysis techniques. ASF also provides extendable software environments (via Conda), which enables users to skip the convoluted setup process and start working with data right away.
For research teams and classes, ASF provides custom OpenSARLab deployments, allowing geographically dispersed teams access to identical environments from a web browser. Time is not wasted debugging software installations, and final processing results are the same for all users. Custom deployments are tailored by use-case to offer the exact computational resources required and avoid unnecessary AWS costs.
In this webinar, participants are provided with an introduction to OpenSARLab and a live demonstration of how to use OpenSARLab to work with SAR data in the cloud.
Presentation Slide Deck: go.nasa.gov/3k...
Discover SAR datasets, services, and tools at NASA's Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC): www.asf.alaska...

[@sohannag612]

I had attended this. It was awesome.

[@sagarrawal8332]

how to determine the best range for perpendicular baseline and acquisitation range? like if below 150 m is good or upto 250 m is good. similary if the acquisition period of 12 days is good or 24 or 32 days is good?
next is, insted if process for whole frame, how to subset the study area and process the data only for that specified area?

[@kamilapawuszek-filipiak4269]

Is it possible to post processed (SBAS/PSI) interferograms delievered by Hyp3 in another open source software? Not MintPy?

[@AlejandroLopez-xr7rt]

A very good video, it will be really useful for my thesis, that's about Ruiz Volcano deformation that is located in Colombia. Just a question: How long on average should you wait to be accepted at Open Science Lab?. Thanks for the information.

[@jtiruneh]

hey have u used it? need help

[@araniiiid]

such an insighful video! thank you so much for all the work that you do!

[@NASAEarthdata]

Thank you! We are glad you find this resource useful to your work.

[@AbdulMalek-qy8fk]

Thank you very much for your nice explanation. Facing problem to create ifgramStack.h5, geometryGeo.h5 etc. Please help how to solve it.

[@NASAEarthdata]

Good morning, thank you for your comment. The best solution to receive user support for this specific issue is to reach out via our NASA Earthdata Forum at forum.earthdata.nasa.gov or send an email to NASA's Alaska Satellite Facility DAAC's User Services Office at: [e-mail]

[@paolamontenegro517]

Hi! Do you solve the problem? I am new in InSAR, it would be nice if you can help me

[@NASAEarthdata]

@@paolamontenegro517 Thank you for reaching out to NASA Earthdata. What InSAR problem are you trying to solve? You can interact with SAR experts from the NASA Alaska Satellite Facility DAAC on our Earthdata Forum at: forum.earthdata.nasa.gov. Also, here are a few InSAR tutorial StoryMaps you might find useful: storymaps.arcgis.com/stories/68a8a3253900411185ae9eb6bb5283d3, storymaps.arcgis.com/stories/8be186e4125741518118d0102e6835e5 and there are InSAR tutorials at ASF DAAC here: asf.alaska.edu/how-to/data-basics/data-recipe-tutorials-2/

[@teamshare7558]

Thanks for the useful video!

[@NASAEarthdata]

You are very welcome!

[@isanac81]

Thank you very much this is very valuable information!!!!

[@NASAEarthdata]

Thank you for your message. We are glad you found this webinar useful for your work.