EGU23-10185, updated on 26 Feb 2023
https://doi.org/10.5194/egusphere-egu23-10185
EGU General Assembly 2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.

Over one million displacement products from ARIA and counting: Enabling open-science and disaster response for everyone

Simran Sangha1, M. Grace Bato1, Nicholas Arenas1, David Bekaert1, Brett Buzzanga1, Rudiger Gens2, Marin Govorcin1, Joseph Kennedy2, Andrew Johnston3, Emre Havazli1, Kirk Hogenson2, Zhong Lu4, Charlie Marshak1, Franz Meyer2, Greg Short3, Kristy Tiampo5, Jiahui Wang4, and Robert Zinke1
Simran Sangha et al.
  • 1Jet Propulsion Laboratory, California Institute of Technology
  • 2University of Alaska Fairbanks
  • 3Alaska Satellite Facility
  • 4Southern Methodist University
  • 5University of Colorado at Boulder, Department of Geological Sciences

Major geological hazards can devastate essential infrastructure and result in widespread injury and death. Understanding the underlying processes that can lead to these hazards and providing analysis-ready datasets in a timely fashion is crucial for hazard monitoring and disaster response and recovery efforts. In support of NASA's vision, we are committed to an open-source science initiative enabling the transparency, inclusivity and accessibility, and reproducibility of  Earth observation data – all fundamental to the pace and quality of scientific progress. Under a NASA ACCESS effort, we have: 1) significantly lowered the latency of delivering displacement products, i.e. the Sentinel-1 Geocoded Unwrapped (S1-GUNW) products, and 2) enabled the expansion of the displacement data archive to over one million S1-GUNW products, currently making ARIA one of the largest open InSAR archives spanning continental scales across most major active tectonic and volcanic regions (Sangha et al., 2022). The scientific analysis of these products is streamlined via the open-source ARIA-tools, which simplifies the download and preparation of S1-GUNWs for time-series analysis through the open-source MintPy software (Yunjun et al., 2019). The derived datasets can support science applications as well as timely science-driven decision-making efforts, particularly, after or during disaster and recovery periods.

Here we demonstrate how our updated infrastructure, driven by an open-source Hybrid Pluggable Processing Pipeline (HyP3) cloud architecture, can be leveraged to support open science and disaster response applications ranging from analysis of volcanic unrest and earthquakes, to characterizing broader-scale tectonic processes.

How to cite: Sangha, S., Bato, M. G., Arenas, N., Bekaert, D., Buzzanga, B., Gens, R., Govorcin, M., Kennedy, J., Johnston, A., Havazli, E., Hogenson, K., Lu, Z., Marshak, C., Meyer, F., Short, G., Tiampo, K., Wang, J., and Zinke, R.: Over one million displacement products from ARIA and counting: Enabling open-science and disaster response for everyone, EGU General Assembly 2023, Vienna, Austria, 24–28 Apr 2023, EGU23-10185, https://doi.org/10.5194/egusphere-egu23-10185, 2023.