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Deep Self-Supervised Global Disturbance Mapping with Sentinel-1 OPERA RTC
  • +3
  • Charlie Marshak,
  • Harris Hardiman-Mostow,
  • Alexander Handwerger,
  • Talib Oliver-Cabrera,
  • Richard West,
  • Jungkyo Jung
Charlie Marshak
Jet Propulsion Laboratory, California Institute of Technology

Corresponding Author:[email protected]

Author Profile
Harris Hardiman-Mostow
Department of Mathematics, University of California
Alexander Handwerger
Jet Propulsion Laboratory, California Institute of Technology, Joint Institute for Regional Earth System Science and Engineering, University of California
Talib Oliver-Cabrera
Jet Propulsion Laboratory, California Institute of Technology
Richard West
Jet Propulsion Laboratory, California Institute of Technology
Jungkyo Jung
Jet Propulsion Laboratory, California Institute of Technology

Abstract

Training data: 1.6 million 2x8x8 patches of SAR data randomly sampled from 105 bursts of OPERA RTC-S1; 30m resolution, with two channels: VV (Vertical transmit and Vertical receive) and VH (Vertical transmit and Horizontal receive). Validation Sites: On May 24, 2024, a large landslide in Papua New Guinea buried a village and killed between 650 and 2,000 people. In February 2024, a series of wildfires broke out in the Valparaiso region of Chile. At least 137 people were killed and over 23,000 hectares were burned.

Preprint timeline

19 Sep 2024Submitted to ESS Open Archive
23 Sep 2024Published in ESS Open Archive