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Service Description: Researchers working with the Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory, Pasadena, California, created Surface Displacement time series products for the active landslides in Rancho Palos Verdes, Los Angeles, California, USA.
The ARIA/OPERA team computed the cumulative displacement time series from interferometric synthetic aperture radar (InSAR) data between July 19, 2016 and June 25, 2023. The InSAR data were acquired by Copernicus Sentinel-1A/B satellites on descending (satellite moving south and looking west) track 71 and processed by the ARIA team to geocoded standard unwrapped interferograms (GUNW). ARIA GUNWs are archived at the NASA Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC).
InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly north of due west. Motion away from the radar LOS is negative (westward and/or vertical subsidence) and motion towards the radar LOS is positive (eastward or vertical uplift). Satellite InSAR in this orbit configuration has negligible sensitivity to North-South motion.
The surface displacement dataset covers an area of roughly 4.65 by 5.62 kilometers (2.9 by 3.5 miles). The map PV_DISP_20160707_20230625_S1A64_map.png shows the cumulative displacement along the radar LOS and has a color variation from dark red to dark blue. The red tones indicate upward or eastward motion (combined) and the blue tones indicate downward or westward 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, and faster-moving areas (defined as motion >1 cm/week at 12 day temporal sampling), and for measuring motion in the North-South direction. 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 that cannot be resolved with this analysis. As a result, Sentinel-1 InSAR measurements after June 2023 are much less reliable due to rapid and more chaotic motion of the landslide that makes the signal difficult to measure.
Processing Details
We invert the network of ARIA GUNW to estimate the cumulative displacement time-series with respect to a reference July 19, 2016. We use the Miami InSAR time series in Python (MintPy) software to perform the time series inversion. The estimated time-series is converted to distance change from radar to target and is provided in meters.
Resolution
90 meters
Credits
NASA-JPL/Caltech ARIA Team
Product POC's
Alexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)
Marin Govorcin (marin.govorcin@jpl.nasa.gov)
David Bekaert (david.bekaert@jpl.nasa.gov)
Eric Fielding (eric.j.fielding@jpl.nasa.gov)
References/Acknowledgement
https://aria.jpl.nasa.gov/ (ARIA project)
https://www.jpl.nasa.gov/go/opera/ (OPERA Project)
https://github.com/aria-tools/ARIA-tools (ARIA InSAR data)
https://github.com/insarlab/MintPy (InSAR time series software)
https://opentopography.org/ (topographic data)
https://www.openstreetmap.org/ (buildings and road data)
https://www.conservation.ca.gov/cgs/landslides (landslide inventories)
ACCESS 19-0023. The InSAR processor was first developed under JPL-Caltech ARIA project.
Esri REST Endpoint
See URL section on right side of page
Additional information
GPS data (https://www.rpvca.gov/1426/Landslide-Surveys) show that the Portuguese Bend landslide is moving primarily southward, which has negligible sensitivity in the InSAR measurement, with some westward (negative in the radar LOS) and eastward (positive in the radar LOS) components in the horizontal plane and vertically downwards (negative in the radar LOS).
displacement_descending
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Description: Researchers working with the Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory, Pasadena, California, created Surface Displacement time series products for the active landslides in Rancho Palos Verdes, Los Angeles, California, USA.The ARIA/OPERA team computed the cumulative displacement time series from interferometric synthetic aperture radar (InSAR) data between July 19, 2016 and June 25, 2023. The InSAR data were acquired by Copernicus Sentinel-1A/B satellites on descending (satellite moving south and looking west) track 71 and processed by the ARIA team to geocoded standard unwrapped interferograms (GUNW). ARIA GUNWs are archived at the NASA Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC).InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly north of due west. Motion away from the radar LOS is negative (westward and/or vertical subsidence) and motion towards the radar LOS is positive (eastward or vertical uplift). Satellite InSAR in this orbit configuration has negligible sensitivity to North-South motion.The surface displacement dataset covers an area of roughly 4.65 by 5.62 kilometers (2.9 by 3.5 miles). The map PV_DISP_20160707_20230625_S1A64_map.png shows the cumulative displacement along the radar LOS and has a color variation from dark red to dark blue. The red tones indicate upward or eastward motion (combined) and the blue tones indicate downward or westward 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, and faster-moving areas (defined as motion >1 cm/week at 12 day temporal sampling), and for measuring motion in the North-South direction. 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 that cannot be resolved with this analysis. As a result, Sentinel-1 InSAR measurements after June 2023 are much less reliable due to rapid and more chaotic motion of the landslide that makes the signal difficult to measure.Processing DetailsWe invert the network of ARIA GUNW to estimate the cumulative displacement time-series with respect to a reference July 19, 2016. We use the Miami InSAR time series in Python (MintPy) software to perform the time series inversion. The estimated time-series is converted to distance change from radar to target and is provided in meters.Resolution90 metersCreditsNASA-JPL/Caltech ARIA TeamProduct POC'sAlexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Marin Govorcin (marin.govorcin@jpl.nasa.gov)David Bekaert (david.bekaert@jpl.nasa.gov)Eric Fielding (eric.j.fielding@jpl.nasa.gov)References/Acknowledgementhttps://aria.jpl.nasa.gov/ (ARIA project)https://www.jpl.nasa.gov/go/opera/ (OPERA Project)https://github.com/aria-tools/ARIA-tools (ARIA InSAR data)https://github.com/insarlab/MintPy (InSAR time series software)https://opentopography.org/ (topographic data)https://www.openstreetmap.org/ (buildings and road data)https://www.conservation.ca.gov/cgs/landslides (landslide inventories)ACCESS 19-0023. The InSAR processor was first developed under JPL-Caltech ARIA project.Esri REST EndpointSee URL section on right side of pageAdditional informationGPS data (https://www.rpvca.gov/1426/Landslide-Surveys) show that the Portuguese Bend landslide is moving primarily southward, which has negligible sensitivity in the InSAR measurement, with some westward (negative in the radar LOS) and eastward (positive in the radar LOS) components in the horizontal plane and vertically downwards (negative in the radar LOS).
Service Item Id: 6e2a0eb5f42b41c2aafd0fc27642ed24
Copyright Text: NASA-JPL/Caltech ARIA Team
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Document Info:
Title: displacement_descending
Author:
Comments: Researchers working with the Advanced Rapid Imaging and Analysis (ARIA) and Observational Products for End-Users from Remote Sensing Analysis (OPERA) teams at NASA's Jet Propulsion Laboratory, Pasadena, California, created Surface Displacement time series products for the active landslides in Rancho Palos Verdes, Los Angeles, California, USA.The ARIA/OPERA team computed the cumulative displacement time series from interferometric synthetic aperture radar (InSAR) data between July 19, 2016 and June 25, 2023. The InSAR data were acquired by Copernicus Sentinel-1A/B satellites on descending (satellite moving south and looking west) track 71 and processed by the ARIA team to geocoded standard unwrapped interferograms (GUNW). ARIA GUNWs are archived at the NASA Alaska Satellite Facility Distributed Active Archive Center (ASF DAAC).InSAR measures the component of 3D surface displacement in the radar line-of-sight (LOS) direction between the ground and the satellite, which is at an angle of about 40 degrees from the vertical and slightly north of due west. Motion away from the radar LOS is negative (westward and/or vertical subsidence) and motion towards the radar LOS is positive (eastward or vertical uplift). Satellite InSAR in this orbit configuration has negligible sensitivity to North-South motion.The surface displacement dataset covers an area of roughly 4.65 by 5.62 kilometers (2.9 by 3.5 miles). The map PV_DISP_20160707_20230625_S1A64_map.png shows the cumulative displacement along the radar LOS and has a color variation from dark red to dark blue. The red tones indicate upward or eastward motion (combined) and the blue tones indicate downward or westward 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, and faster-moving areas (defined as motion >1 cm/week at 12 day temporal sampling), and for measuring motion in the North-South direction. 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 that cannot be resolved with this analysis. As a result, Sentinel-1 InSAR measurements after June 2023 are much less reliable due to rapid and more chaotic motion of the landslide that makes the signal difficult to measure.Processing DetailsWe invert the network of ARIA GUNW to estimate the cumulative displacement time-series with respect to a reference July 19, 2016. We use the Miami InSAR time series in Python (MintPy) software to perform the time series inversion. The estimated time-series is converted to distance change from radar to target and is provided in meters.Resolution90 metersCreditsNASA-JPL/Caltech ARIA TeamProduct POC'sAlexander L. Handwerger (alexander.handwerger@jpl.nasa.gov)Marin Govorcin (marin.govorcin@jpl.nasa.gov)David Bekaert (david.bekaert@jpl.nasa.gov)Eric Fielding (eric.j.fielding@jpl.nasa.gov)References/Acknowledgementhttps://aria.jpl.nasa.gov/ (ARIA project)https://www.jpl.nasa.gov/go/opera/ (OPERA Project)https://github.com/aria-tools/ARIA-tools (ARIA InSAR data)https://github.com/insarlab/MintPy (InSAR time series software)https://opentopography.org/ (topographic data)https://www.openstreetmap.org/ (buildings and road data)https://www.conservation.ca.gov/cgs/landslides (landslide inventories)ACCESS 19-0023. The InSAR processor was first developed under JPL-Caltech ARIA project.Esri REST EndpointSee URL section on right side of pageAdditional informationGPS data (https://www.rpvca.gov/1426/Landslide-Surveys) show that the Portuguese Bend landslide is moving primarily southward, which has negligible sensitivity in the InSAR measurement, with some westward (negative in the radar LOS) and eastward (positive in the radar LOS) components in the horizontal plane and vertically downwards (negative in the radar LOS).
Subject: Surface displacement time series from Sentinel-1 ascending track 71 between July 19, 2016 and June 25, 2023.
Category:
Keywords: NASA,NASA Disasters Program,ARIA,NASA JPL,Caltech,JAXA,ALOS-2,inSAR,Displacement,California,USA,Rancho Palos Verdes,CGS,Landslides
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