Smart On-Demand Analysis of Multi-Temporal and Full Resolution SAR ARDs in Multi-Cloud & HPC

Completed TRL 5 (started at 4, targeting 5)

Description

We will build upon our cloud-native Advanced Rapid Imaging & Analysis (ARIA) science data system to help address pain-points in the complexities of large-scale algorithm development and on-demand analysis of handling voluminous SAR measurements at full resolution from L1 SLCs to L3 time series. We will increase multi-temporal and full resolution SAR data use as well as facilitate algorithm development and analysis for higher fidelity surface deformation and urgent response use cases. The approach will enable full resolution time series analysis, high-accuracy flood and damage assessments with remote sensing SAR Analysis Ready Data (ARD). We will be building upon our existing capabilities: * Generation and analysis of the SAR ARDs will be done using science notebook-based (e.g. Jupyter) algorithm development environment where algorithms are published into the SAR ARD algorithm analysis "appstore". * We will integrate in curated natural events from NASA's Earth Observatory Natural Event Tracker (EONET) to help users setup automated triggers of on-demand SAR ARD analysis using their own algorithms from algorithm analysis "appstore". * Handling on-demand analysis jobs are done across multi-cloud (AWS, Google Cloud Platform, and Microsoft Azure) and NASA HPC (Pleiades) environments. * Enabling "smart on-demand" where analysis are cost-model-informed to help address the cost of jobs across multi-cloud and HPC environments. E.g. optimizing for fast processing vs lower costs requests. We plan to use the system to develop and process data for the follow demonstration use cases: (1) multi-temporal and full resolution ARDs of L1 coregistered SLC stacks (2) full resolution time series for critical infrastructure monitoring use cases (3) multi-temporal flood extent maps (4) multi-temporal damage assessment maps

Benefits

Advance Earth system science knowledge through the identification, development, and demonstration of innovative information systems technologies

Details

Technology area	Software, Modeling, Simulation, and Information Processing > Other Software, Modeling, Simulation, and Information Processing
Program	Advanced Information Systems Technology (AIST)
Lead organization	California Institute of Technology, Pasadena, CA
Start date	2020-01-01
End date	2022-06-26

Project contacts

Listed on TechPort itself — the most direct way to ask about this specific project.

Hook K Hua — hook.hua@jpl.nasa.gov
Charles M Meertens
David P Bekaert — david.bekaert@jpl.nasa.gov
Eric J Fielding — eric.j.fielding@jpl.nasa.gov
Gerald John M Manipon — geraldjohn.m.manipon@jpl.nasa.gov
Jungkyo Jung — jungkyo.jung@jpl.nasa.gov
Justin P Linick — justin.p.linick@jpl.nasa.gov
Karen R Piggee — karen.r.piggee@jpl.nasa.gov
Sang-ho Yun — sang-ho.yun@jpl.nasa.gov
Susan E Owen-mccollum — susan.e.owen@jpl.nasa.gov

How to get involved

This is early/mid-stage (TRL 5) — the most realistic path in is NASA SBIR/STTR, which funds small businesses and research institutions to develop technology aligned with NASA's needs (equity-free, phased funding). Check whether a current SBIR/STTR solicitation topic overlaps with this project's technology area, or contact the project directly (above) to ask.

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