US Federal or State use case, US Private-sector use case
Audience
The intended audience includes scientists and researchers in geophysics and environmental science, policymakers and urban planners responsible for disaster management, residents in landslide-prone areas, and the general public interested in natural disasters and environmental science.
Summary
The article discusses the unpredictability of dry-season landslides, using the July 2023 Rolling Hills Estates event as a case study. Researchers from UCLA and NASA's JPL used satellite data to reveal that this landslide began months earlier, demonstrating the potential of such data for early detection. The OPERA project is highlighted for developing a database to enable real-time monitoring and prediction of landslides.
SNWG Project
C2 - OPERA (if applicable to GSWx, DIST, or DISP specifically, please note that)
"Handwerger is a core member of a project at JPL that is building an analysis-ready surface displacement database from satellite radar data for the entire United States, U.S. territories, Canada within 200 km of the U.S. border, and all mainland countries from the southern U.S. border up to and including Panama. The project, called Observational Products for End-Users from Remote Sensing Analysis, or OPERA, will contain analysis-ready data for near real-time monitoring and, possibly, landslide prediction."
Source
UCLA Newsroom
Date of Publication or interview
2024-07-12
Value Type
US Federal or State use case, US Private-sector use case
Audience
The intended audience includes scientists and researchers in geophysics and environmental science, policymakers and urban planners responsible for disaster management, residents in landslide-prone areas, and the general public interested in natural disasters and environmental science.
Summary
The article discusses the unpredictability of dry-season landslides, using the July 2023 Rolling Hills Estates event as a case study. Researchers from UCLA and NASA's JPL used satellite data to reveal that this landslide began months earlier, demonstrating the potential of such data for early detection. The OPERA project is highlighted for developing a database to enable real-time monitoring and prediction of landslides.
SNWG Project
C2 - OPERA (if applicable to GSWx, DIST, or DISP specifically, please note that)
Location/Venue of story impact
California - Rolling Hills Estates
Link to published Source, if applicable
https://newsroom.ucla.edu/releases/2023-rolling-hills-estates-landslide-likely-began-winter-before
Quote from the published source
"Handwerger is a core member of a project at JPL that is building an analysis-ready surface displacement database from satellite radar data for the entire United States, U.S. territories, Canada within 200 km of the U.S. border, and all mainland countries from the southern U.S. border up to and including Panama. The project, called Observational Products for End-Users from Remote Sensing Analysis, or OPERA, will contain analysis-ready data for near real-time monitoring and, possibly, landslide prediction."
Related Issues
No response