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NASA Radar Imagery Reveals Details About Los Angeles-Area Landslides


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A topographic map of Rancho Palos Verdes, CA (Sept. 18–Oct. 17, 2024) shows landslide velocity in cm/week, with red areas moving fastest (≥10 cm/week). The slide extends beyond the 2007 boundary toward Abalone Cove. An arrow marks the landslide direction southward.
NASA’s UAVSAR airborne radar instrument captured data in fall 2024 showing the mo-tion of landslides on the Palos Verdes Peninsula following record-breaking rainfall in Southern California in 2023 and another heavy-precipitation winter in 2024. Darker red indicates faster motion.
NASA Earth Observatory

Analysis of data from NASA radar aboard an airplane shows that the decades-old active landslide area on the Palos Verdes Peninsula has expanded.

Researchers at NASA’s Jet Propulsion Laboratory in Southern California used data from an airborne radar to measure the movement of the slow-moving landslides on the Palos Verdes Peninsula in Los Angeles County. The analysis determined that, during a four-week period in the fall of 2024, land in the residential area slid toward the ocean by as much as 4 inches (10 centimeters) per week.

Portions of the peninsula, which juts into the Pacific Ocean just south of the city of Los Angeles, are part of an ancient complex of landslides and has been moving for at least the past six decades, affecting hundreds of buildings in local communities. The motion accelerated, and the active area expanded following record-breaking rainfall in Southern California in 2023 and heavy precipitation in early 2024.

To create this visualization, the Advanced Rapid Imaging and Analysis (ARIA) team used data from four flights of NASA’s Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) that took place between Sept. 18 and Oct. 17. The UAVSAR instrument was mounted to a Gulfstream III jet flown out of NASA’s Armstrong Flight Research Center in Edwards, California, and the four flights were planned to estimate the speed and direction of the landslides in three dimensions.

In the image above, colors indicate how fast parts of the landslide complex were moving in late September and October, with the darkest reds indicating the highest speeds. The arrows represent the direction of horizontal motion. The white solid lines are the boundaries of the active landslide area as defined in 2007 by the California Geological Survey.

“In effect, we’re seeing that the footprint of land experiencing significant impacts has expanded, and the speed is more than enough to put human life and infrastructure at risk,” said Alexander Handwerger, the JPL landslide scientist who performed the analysis.

The insights from the UAVSAR flights were part of a package of analyses by the ARIA team that also used data from ESA’s (the European Space Agency’s) Copernicus Sentinel-1A/B satellites. The analyses were provided to California officials to support the state’s response to the landslides and made available to the public at NASA’s Disaster Mapping Portal.

Handwerger is also the principal investigator for NASA’s upcoming Landslide Climate Change Experiment, which will use airborne radar to study how extreme wet or dry precipitation patterns influence landslides. The investigation will include flights over coastal slopes spanning the California coastline.

More About ARIA, UAVSAR

The ARIA mission is a collaboration between JPL and Caltech, which manages JPL for NASA, to leverage radar and optical remote-sensing, GPS, and seismic observations for science as well as to aid in disaster response. The project investigates the processes and impacts of earthquakes, volcanoes, landslides, fires, subsurface fluid movement, and other natural hazards.

UAVSAR has flown thousands of radar missions around the world since 2007, studying phenomena such as glaciers and ice sheets, vegetation in ecosystems, and natural hazards like earthquakes, volcanoes, and landslides.

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Andrew Wang / Jane J. Lee
Jet Propulsion Laboratory, Pasadena, Calif.
626-379-6874 / 818-354-0307
andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov

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      Figure 4. Global precipitation ice water path (PIWP) retrievals derived from TROPICS [top] compared to those derived using data from the GPM Dual-frequency Precipitation Radar (GPM DPR) [bottom] The strong agreement between the two datasets is further validated through case studies over hurricanes, where TROPICS observations correspond well with known storm characteristics. Figure Credit: Blackwell, W. J. et al. (2025) Collaborations and TROPICS Data in Action
      To evaluate and enhance the data gathered by TROPICS, the TROPICS application team enlisted the assistance of operational weather forecasters that formed the TROPICS Early Adopters program. In 2018, the program connected the application team to stakeholders interested in using TROPICS data for research, forecasting, and decision making. This collaboration improved approaches to diagnose and predict tropical cyclones. For example, the National Hurricane Center (NHC) found that the new TROPICS channel at 204.8 GHz offered the best approach to capture convective storm structure, followed by the more traditionally used 91-GHz channel. In addition, the U.S. Joint Typhoon Warning Center (JTWC) has been using TROPICS data to center-fix tropical cyclones and identify cloud formations. In particular, the JTWC team found that the 91-GHz channel was most useful for identifying cloud structure. Both NHC and JTWC found the TROPICS high revisit rate to be beneficial.
      In 2024, the TROPICS applications team developed the TROPICS Satellite Validation Module as part of the NOAA Hurricane Research Division’s annual Advancing the Prediction of Hurricanes Experiment (APHEX). The module coordinated data collection from NOAA’s Hurricane Hunter aircraft beneath TROPICS satellite overpasses to provide data to calibrate and validate TROPICS temperature, moisture, and precipitation measurements. Using this approach, the Hurricane Hunter team tracked Hurricane Ernesto over the central North Atlantic on August 15 and 16, 2024 and used the data to characterize the environment of Ernesto’s rain bands – see Figure 5.
      Figure 5. Brightness temperature (K) measured at 205 GHz from TROPICS-5 [right] and TROPICS-6 [left and center] from Hurricane Ernesto on August 15 and 16, 2024. The shaded circles denote 850–700 hPa relative humidity (%). Wind barbs are 850–700 hPa layer averaged winds (kt). Dropsonde data within 30 minutes of the TROPICS overpass times are plotted. Figure Credit: Blackwell, W. J. et al. (2025) In addition, the team used TROPICS observations in combination with GPM constellation precipitation estimates to characterize the lifecycle of Hurricane Franklin, which formed on August 19, 2023 and underwent a period of rapid intensification about eight days later. Intensification of the storm, in particular the period of rapid intensification (45 knot increase in maximum winds in 24 hours), occurred in association with a decrease in environmental vertical wind shear, a contraction of the radius of maximum precipitation, and an increase in the precipitation rate. Intensification ended with the formation of secondary rainbands and an outward shift in the radius of maximum precipitation.
      Conclusion
      TROPICS data offer the potential for improving forecasts from numerical weather prediction models and operational forecasts using its high spatial resolution and high revisit rates that enable enhanced characterization of tropical cyclones globally. To date, the TROPICS mission has produced a high-quality aggregate data record spanning 10 billion observations and 10 satellite years, using relatively low-cost microwave sounder constellations. All L1 (i.e., radiances) and L2 (i.e., geophysical products) data products and Algorithm Theoretical Basis Documents are available to the general public through the Goddard Earth Sciences Data and Information Services Center (GES DISC). The GES DISC data discussed in this article include L1 and L2 products for TROPICS-1, TROPICS-3, TROPICS-5, and TROPICS-6.
      TROPICS data has aided hurricane track forecasting for multiple storms as forecasters have used the data at multiple operational tropical cyclone forecast centers. Data gathered by TROPICS will soon be complemented by multiple commercial constellations that are coming online to improve the revisit rate and performance.
      William Blackwell 
      MIT Lincoln Laboratory
      wjb@ll.mit.edu
      Scott Braun
      NASA GSFC, TROPICS Project Scientist
      scott.a.braun@nasa.gov
      Stacy Kish
      Earth Observer Staff
      Earthspin.science@gmail.com
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      Last Updated Jun 09, 2025 Related Terms
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    • By NASA
      A new online portal by NASA and the Alaska Satellite Facility maps satellite radar meas-urements across North America, enabling users to track land movement since 2016 caused by earthquakes, landslides, volcanoes, and other phenomena.USGS An online tool maps measurements and enables non-experts to understand earthquakes, subsidence, landslides, and other types of land motion.
      NASA is collaborating with the Alaska Satellite Facility in Fairbanks to create a powerful web-based tool that will show the movement of land across North America down to less than an inch. The online portal and its underlying dataset unlock a trove of satellite radar measurements that can help anyone identify where and by how much the land beneath their feet may be moving — whether from earthquakes, volcanoes, landslides, or the extraction of underground natural resources such as groundwater.
      Spearheaded by NASA’s Observational Products for End-Users from Remote Sensing Analysis (OPERA) project at the agency’s Jet Propulsion Laboratory in Southern California, the effort equips users with information that would otherwise take years of training to produce. The project builds on measurements from spaceborne synthetic aperture radars, or SARs, to generate high-resolution data on how Earth’s surface is moving.
      The OPERA portal shows how land is sinking in Freshkills Park, which is being built on the site of a former landfill on Staten Island, New York. Landfills tend to sink over time as waste decomposes and settles. The blue dot marks the spot where the portal is showing movement in the graph.Alaska Satellite Facility Formally called the North America Surface Displacement Product Suite, the new dataset comes ready to use with measurements dating to 2016, and the portal allows users to view those measurements at a local, state, and regional scales in a few seconds. For someone not using the dataset or website, it could take days or longer to do a similar analysis.
      “You can zoom in to your country, your state, your city block, and look at how the land there is moving over time,” said David Bekaert, the OPERA project manager and a JPL radar scientist. “You can see that by a simple mouse click.”
      The portal currently includes measurements for millions of pixels across the U.S. Southwest, northern Mexico, and the New York metropolitan region, each representing a 200-foot-by-200-foot (60-meter-by-60-meter) area on the ground. By the end of 2025, OPERA will add data to cover the rest of the United States, Central America, and Canada within 120 miles (200 kilometers) of the U.S. border. When a user clicks on a pixel, the system pulls measurements from hundreds of files to create a graph visualizing the land surface’s cumulative movement over time.
      Land is rising at the Colorado River’s outlet to the Gulf of California, as indicated in this screenshot from the OPERA portal. The uplift is due to the sediment from the river building up over time. The graph shows that the land at the blue dot has risen about 8 inches (20 centimeters) since 2016.Alaska Satellite Facility “The OPERA project automated the end-to-end SAR data processing system such that users and decision-makers can focus on discovering where the land surface may be moving in their areas of interest,” said Gerald Bawden, program scientist responsible for OPERA at NASA Headquarters in Washington. “This will provide a significant advancement in identifying and understanding potential threats to the end users, while providing cost and time savings for agencies.” 
      For example, water-management bureaus and state geological surveys will be able to directly use the OPERA products without needing to make big investments in data storage, software engineering expertise, and computing muscle.
      How It Works
      To create the displacement product, the OPERA team continuously draws data from the ESA (European Space Agency) Sentinel-1 radar satellites, the first of which launched in 2014. Data from NISAR, the NASA-ISRO (Indian Space Research Organisation) Synthetic Aperture Radar mission, will be added to the mix after that spacecraft launches later this year.
      The OPERA portal shows that land near Willcox, Arizona, subsided about 8 inches (20 centimeters) since between 2016 and 2021, in large part due to groundwater pumping. The region is part of an area being managed by state water officials.Alaska Satellite Facility Satellite-borne radars work by emitting microwave pulses at Earth’s surface. The signals scatter when they hit land and water surfaces, buildings, and other objects. Raw data consists of the strength and time delay of the signals that echo back to the sensor. 
      To understand how land in a given area is moving, OPERA algorithms automate steps in an otherwise painstaking process. Without OPERA, a researcher would first download hundreds or thousands of data files, each representing a pass of the radar over the point of interest, then make sure the data aligned geographically over time and had precise coordinates.
      Then they would use a computationally intensive technique called radar interferometry to gauge how much the land moved, if at all, and in which direction — towards the satellite, which would indicate the land rose, or away from the satellite, which would mean it sank.
      “The OPERA project has helped bring that capability to the masses, making it more accessible to state and federal agencies, and also users wondering, ‘What’s going on around my house?’” said Franz Meyer, chief scientist of the Alaska Satellite Facility, a part of the University of Alaska Fairbanks Geophysical Institute.
      Monitoring Groundwater
      Sinking land is a top priority to the Arizona Department of Water Resources. From the 1950s through the 1980s, it was the main form of ground movement officials saw, as groundwater pumping increased alongside growth in the state’s population and agricultural industry. In 1980, the state enacted the Groundwater Management Act, which reduced its reliance on groundwater in highly populated areas and included requirements to monitor its use.
      The department began to measure this sinking, called subsidence, with radar data from various satellites in the early 2000s, using a combination of SAR, GPS-based monitoring, and traditional surveying to inform groundwater-management decisions.
      Now, the OPERA dataset and portal will help the agency share subsidence information with officials and community members, said Brian Conway, the department’s principal hydrogeologist and supervisor of its geophysics unit. They won’t replace the SAR analysis he performs, but they will offer points of comparison for his calculations. Because the dataset and portal will cover the entire state, they also could identify areas not yet known to be subsiding.
      “It’s a great tool to say, ‘Let’s look at those areas more intensely with our own SAR processing,’” Conway said.
      The displacement product is part of a series of data products OPERA has released since 2023. The project began in 2020 with a multidisciplinary team of scientists at JPL working to address satellite data needs across different federal agencies. Through the Satellite Needs Working Group, those agencies submitted their requests, and the OPERA team worked to improve access to information to aid a range of efforts such as disaster response, deforestation tracking, and wildfire monitoring.
      NASA-Led Project Tracking Changes to Water, Ecosystems, Land Surface News Media Contacts
      Andrew Wang / Jane J. Lee
      Jet Propulsion Laboratory, Pasadena, Calif.
      626-379-6874 / 818-354-0307
      andrew.wang@jpl.nasa.gov / jane.j.lee@jpl.nasa.gov
      2025-076
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      Last Updated Jun 06, 2025 Related Terms
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