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Service Description:

Researchers working with the Advanced Rapid Imaging and Analysis (ARIA) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) teams at NASA's Jet Propulsion Laboratory, Pasadena, California, created Surface Displacement products for the active landslides in Rancho Palos Verdes, Los Angeles, California, USA.

The ARIA/UAVSAR team computed displacement from interferometric synthetic aperture radar (InSAR) data for interferogram pairs Sep. 18 and Sep. 30, 2024, Sep. 30, and Oct. 8, 2024, and Oct. 8 and Oct. 17, 2024. The InSAR data were acquired by UAVSAR on T18527 (airplane moving south and looking west), T09517 (airplane moving east and looking north), and T27588 (airplane moving west and looking south) and processed by the UAVSAR team to geocoded unwrapped interferograms. This results in the following:

The surface displacement dataset covers an area of roughly 4.2 by 3.3 kilometers (2.6 by 2.1 miles). The map PV_DISP_UAVSAR-IgramPairs_T18527.png and PV_DISP_UAVSAR-IgramPairs_T09517.png shows the displacement along the radar LOS and has a color variation from dark red to dark blue. The red tones indicate downward or southward motion (combined) and the blue tones indicate upward or northward motion (combined). The white areas have approximately zero displacement. The displacement measurements are all relative to a selected stable reference pixel, and the dataset has not been calibrated to any ground location so there might be a bias of the reference level, which is unknown.

These data have not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement. We note that InSAR measurements are less reliable over heavily vegetated areas, steep slopes, faster-moving areas (defined as motion >13 cm/week at 8 day temporal sampling), and does not measure motion in the East-West direction (perpendicular to the radar LOS). Much of the landslide area has been moving rapidly since June 2023 according to ground measurements made for the city of Rancho Palos Verdes (https://www.rpvca.gov/1426/Landslide-Surveys), with rates as high as 30 cm per week . As a result, some areas of the measurements are much less reliable due to rapid and more chaotic motion of the landslide that makes the signal difficult to measure.

Processing Details

We process UAVSAR data using the operational UAVSAR stack processor to produce a stack of radar images collected on each date. We form interferograms for each successive pair of images in the stack, using a Goldstein filter to smooth the interferometric phase. Each interferogram is masked to exclude water and areas where we expect poor interferometric performance due to layover and shadow effects (when the radar LOS is close to parallel with the terrain surface normal, or when the radar does not have a clear LOS to the surface, respectively). Interferograms are unwrapped using the PHASS phase unwrapping algorithm, with an additional interpolation step to smooth over low coherence regions of the interferogram. The unwrapped interferograms are converted to distance change from radar to target and are provided in meters.

Additional information

GPS data (https://www.rpvca.gov/1426/Landslide-Surveys) show that the Portuguese Bend landslide is moving primarily southward, with some westward and eastward components in the horizontal plane and vertically downwards.

Resolution:

5 meters

Esri REST Endpoint:

See URL Section on right side of page

Files:

PV_DISP_20240918_20240930_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 18 and Sep. 30, 2024.

PV_DISP_20240930_20241008_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 30 and Oct. 08, 2024.

PV_DISP_20241008_20241017_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Oct. 08 and Oct. 17, 2024.

PV_DISP_20240918_20240930_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 18 and Sep. 30, 2024.

PV_DISP_20240930_20241008_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 30 and Oct. 08, 2024.

PV_DISP_20241008_20241017_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Oct. 08 and Oct. 17, 2024.

UAVSAR-IgramPairs_T18527 (PNG) surface displacement for individual interferograms along the radar LOS of the satellite draped on lidar hillshade of topography. Landslide boundaries from the California Geological Survey (CGS) and roads and buildings from OpenStreetMap. Reference point shows the stable point selected for the InSAR comparison.

Released November 11, 2024.

Product POCs:

Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)

Michael Denbina (michael.w.denbina@jpl.nasa.gov)

Yang Zheng (yang.zheng@jpl.nasa.gov)

Eric Fielding (eric.j.fielding@jpl.nasa.gov)

References/Acknowledgements:

https://uavsar.jpl.nasa.gov/ (UAVSAR project)

https://aria.jpl.nasa.gov/ (ARIA project)

https://opentopography.org/ (topographic data)

https://www.openstreetmap.org/ (buildings and road data)

https://www.conservation.ca.gov/cgs/landslides (landslide inventories)



Map Name: UAVSAR

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Layers: Description: Researchers working with the Advanced Rapid Imaging and Analysis (ARIA) and Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) teams at NASA's Jet Propulsion Laboratory, Pasadena, California, created Surface Displacement products for the active landslides in Rancho Palos Verdes, Los Angeles, California, USA. The ARIA/UAVSAR team computed displacement from interferometric synthetic aperture radar (InSAR) data for interferogram pairs Sep. 18 and Sep. 30, 2024, Sep. 30, and Oct. 8, 2024, and Oct. 8 and Oct. 17, 2024. The InSAR data were acquired by UAVSAR on T18527 (airplane moving south and looking west), T09517 (airplane moving east and looking north), and T27588 (airplane moving west and looking south) and processed by the UAVSAR team to geocoded unwrapped interferograms. This results in the following:T185 is near 35 degrees from the vertical (in the center) and slightly south of due east. Motion away from the radar LOS is negative (eastward and/or vertical subsidence) and motion towards the radar LOS is positive (westward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to North-South motion. InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which varies across the scene but is near 35 degrees from the vertical (in the center) and slightly south of due east. Motion away from the radar LOS is negative (eastward and/or vertical subsidence) and motion towards the radar LOS is positive (westward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to North-South motion.T095 is near 35 degrees from the vertical (in the center)  and slightly east of due north. Motion away from the radar LOS is negative (northward and/or vertical subsidence) and motion towards the radar LOS is positive (southward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to East-West motion. InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which varies across the scene but is near 35 degrees from the vertical (in the center) and slightly east of due north. Motion away from the radar LOS is negative (northward and/or vertical subsidence) and motion towards the radar LOS is positive (southward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to East-West motion.T275 is near 35 degrees from the vertical (in the center) and slightly west of due south. Motion away from the radar LOS is negative (southward and/or vertical subsidence) and motion towards the radar LOS is positive (northward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to East-West motion. InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which varies across the scene but is near 35 degrees from the vertical (in the center) and slightly west of due south. Motion away from the radar LOS is negative (southward and/or vertical subsidence) and motion towards the radar LOS is positive (northward or vertical uplift). UAVSAR in this configuration has negligible sensitivity to East-West motion.The surface displacement dataset covers an area of roughly 4.2 by 3.3 kilometers (2.6 by 2.1 miles). The map PV_DISP_UAVSAR-IgramPairs_T18527.png and PV_DISP_UAVSAR-IgramPairs_T09517.png shows the displacement along the radar LOS and has a color variation from dark red to dark blue. The red tones indicate downward or southward motion (combined) and the blue tones indicate upward or northward motion (combined). The white areas have approximately zero displacement. The displacement measurements are all relative to a selected stable reference pixel, and the dataset has not been calibrated to any ground location so there might be a bias of the reference level, which is unknown.These data have not yet been validated. This displacement map should be used as guidance to identify areas of significant ground displacement. We note that InSAR measurements are less reliable over heavily vegetated areas, steep slopes, faster-moving areas (defined as motion >13 cm/week at 8 day temporal sampling), and does not measure motion in the East-West direction (perpendicular to the radar LOS). Much of the landslide area has been moving rapidly since June 2023 according to ground measurements made for the city of Rancho Palos Verdes (https://www.rpvca.gov/1426/Landslide-Surveys), with rates as high as 30 cm per week . As a result, some areas of the measurements are much less reliable due to rapid and more chaotic motion of the landslide that makes the signal difficult to measure.Processing DetailsWe process UAVSAR data using the operational UAVSAR stack processor to produce a stack of radar images collected on each date. We form interferograms for each successive pair of images in the stack, using a Goldstein filter to smooth the interferometric phase. Each interferogram is masked to exclude water and areas where we expect poor interferometric performance due to layover and shadow effects (when the radar LOS is close to parallel with the terrain surface normal, or when the radar does not have a clear LOS to the surface, respectively). Interferograms are unwrapped using the PHASS phase unwrapping algorithm, with an additional interpolation step to smooth over low coherence regions of the interferogram. The unwrapped interferograms are converted to distance change from radar to target and are provided in meters.Additional informationGPS data (https://www.rpvca.gov/1426/Landslide-Surveys) show that the Portuguese Bend landslide is moving primarily southward, with some westward and eastward components in the horizontal plane and vertically downwards.Resolution:5 metersEsri REST Endpoint:See URL Section on right side of pageFiles:PV_DISP_20240918_20240930_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 18 and Sep. 30, 2024.PV_DISP_20240930_20241008_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 30 and Oct. 08, 2024.PV_DISP_20241008_20241017_UAVSAR_T09517.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Oct. 08 and Oct. 17, 2024.PV_DISP_20240918_20240930_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 18 and Sep. 30, 2024.PV_DISP_20240930_20241008_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Sep. 30 and Oct. 08, 2024.PV_DISP_20241008_20241017_UAVSAR_T18527.tif (GeoTIFF) shows the displacement along the radar LOS of the satellite in meters between Oct. 08 and Oct. 17, 2024.UAVSAR-IgramPairs_T18527 (PNG) surface displacement for individual interferograms along the radar LOS of the satellite draped on lidar hillshade of topography. Landslide boundaries from the California Geological Survey (CGS) and roads and buildings from OpenStreetMap. Reference point shows the stable point selected for the InSAR comparison. Released November 11, 2024.Product POCs:Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Michael Denbina (michael.w.denbina@jpl.nasa.gov)Yang Zheng (yang.zheng@jpl.nasa.gov)Eric Fielding (eric.j.fielding@jpl.nasa.gov)References/Acknowledgements:https://uavsar.jpl.nasa.gov/ (UAVSAR project)https://aria.jpl.nasa.gov/ (ARIA project)https://opentopography.org/ (topographic data)https://www.openstreetmap.org/ (buildings and road data)https://www.conservation.ca.gov/cgs/landslides (landslide inventories)

Service Item Id: ed30aac8fb7f43f8a8969fb4d576f5eb

Copyright Text: NASA-JPL/Caltech ARIA Team, JPL UAVSAR Team

Spatial Reference: 4326  (4326)


Single Fused Map Cache: false

Initial Extent: Full Extent: Units: esriDecimalDegrees

Supported Image Format Types: PNG32,PNG24,PNG,JPG,DIB,TIFF,EMF,PS,PDF,GIF,SVG,SVGZ,BMP

Document Info: Supports Dynamic Layers: true

MaxRecordCount: 2000

MaxImageHeight: 4096

MaxImageWidth: 4096

Supported Query Formats: JSON, geoJSON, PBF

Supports Query Data Elements: true

Min Scale: 0

Max Scale: 0

Supports Datum Transformation: true



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