2017-2023 NOAA East Coast Historical InSAR Data
Data Set (DS) | National Geodetic Survey (NGS)GUID: gov.noaa.nmfs.inport:74380 | Updated: March 4, 2026 | Published / External
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Summary
Short Citation
National Geodetic Survey, 2026: 2017-2023 NOAA East Coast Historical InSAR Data, https://www.fisheries.noaa.gov/inport/item/74380.
Full Citation Examples
Dewberry contracted TRE Altamira Inc (TREA) for a historical InSAR analysis of ground displacement over the East Coast of the United States of America (U.S.A.), for the National Oceanic and Atmospheric Administration (NOAA). The area of interest (AOI) includes the major coastal cities and coastal plains and covers over 500,000 km2 (193,000 mi2).
TREAs proprietary SqueeSAR algorithm was used to process Sentinel-1 (SNT) satellite imagery acquired between January 2017 and July 2023 and the results were calibrated using the NOAA's CORS GNSS (Global Navigation Satellite System) network for the generation of vertical InSAR (SAR Interferometry) measurements.
The purpose of this project was to support National Oceanic and Atmospheric Administration (NOAA) for the Coastal Subsidence Monitoring over the US East Coast.
Data Access & Downloads
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CSV - Comma Separated Values (Text)
Download 50 meter data in shapefile or csv format.
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CSV - Comma Separated Values (Text)
Download 100 meter data in shapefile or csv format.
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PDF - Adobe Portable Document Format
Zip file containing NOAA East Coast InSAR Analysis - Calibration Report.pdf, NOAA East Coast InSAR Analysis - Historical Data Report.pdf and NOAA East Coast InSAR Analysis - Imagery Procurement Report.pdf
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CSV - Comma Separated Values (Text)
Download 50 meter data in shapefile or csv format.
-
CSV - Comma Separated Values (Text)
Download 50 meter data in shapefile or csv format.
-
CSV - Comma Separated Values (Text)
Download 50 meter data in shapefile or csv format.
None
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations.
Controlled Theme Keywords
BEACHES, GEOGRAPHIC INFORMATION SYSTEMS, imageryBaseMapsEarthCover
Child Items
No Child Items for this record.
Contact Information
Point of Contact
National Geodetic Survey (NGS)
ROR: 02f762h70
https://geodesy.noaa.gov/
Metadata Contact
National Geodetic Survey (NGS)
ROR: 02f762h70
https://geodesy.noaa.gov/
Extents
-98.31° W,
-66.9° E,
44.57° N,
26.11° S
Data covers coastal areas of the United States from Maine to Texas.
2017-01 - 2023-06
Item Identification
| Title: | 2017-2023 NOAA East Coast Historical InSAR Data |
|---|---|
| Status: | Completed |
| Creation Date: | 2025 |
| Abstract: |
Dewberry contracted TRE Altamira Inc (TREA) for a historical InSAR analysis of ground displacement over the East Coast of the United States of America (U.S.A.), for the National Oceanic and Atmospheric Administration (NOAA). The area of interest (AOI) includes the major coastal cities and coastal plains and covers over 500,000 km2 (193,000 mi2). TREAs proprietary SqueeSAR algorithm was used to process Sentinel-1 (SNT) satellite imagery acquired between January 2017 and July 2023 and the results were calibrated using the NOAA's CORS GNSS (Global Navigation Satellite System) network for the generation of vertical InSAR (SAR Interferometry) measurements. |
| Purpose: |
The purpose of this project was to support National Oceanic and Atmospheric Administration (NOAA) for the Coastal Subsidence Monitoring over the US East Coast. |
| Supplemental Information: |
The Vertical InSAR data is provided in 50x50 m and 100x100 m resolution versions. It is provided in csv and shapefile (.shp) format, metric units and WGS84 coordinate system. It is divided into multiple files below a 2G size, to facilitate the download and analysis on GIS platforms. |
Keywords
Theme Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Science Keywords |
EARTH SCIENCE > LAND SURFACE > GEOMORPHIC LANDFORMS/PROCESSES > COASTAL LANDFORMS > BEACHES
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| Global Change Master Directory (GCMD) Service Keywords |
EARTH SCIENCE SERVICES > DATA ANALYSIS AND VISUALIZATION > GEOGRAPHIC INFORMATION SYSTEMS
|
| ISO 19115 Topic Category |
imageryBaseMapsEarthCover
|
Spatial Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Location Keywords |
CONTINENT > NORTH AMERICA > UNITED STATES OF AMERICA
|
Instrument Keywords
| Thesaurus | Keyword |
|---|---|
| Global Change Master Directory (GCMD) Instrument Keywords |
SENTINEL-1 C-SAR > SENTINEL-1 C-SAR
|
Physical Location
| Organization: | National Geodetic Survey |
|---|---|
| City: | Silver Spring |
| State/Province: | MD |
Data Set Information
| Data Set Scope Code: | Data Set |
|---|---|
| Data Set Type: | Mixed: GIS shapefiles and CSV |
| Maintenance Frequency: | None Planned |
| Data Presentation Form: | Other |
| Distribution Liability: |
Users must assume responsibility to determine the usability of these data. These data were obtained for use by NGS during the course of its development of potential final products to fulfill its statutory mission. Although NGS is making this data available to others who may find it of value, NGS does not warrant, endorse, or recommend the use of it for any given purpose. Any conclusions drawn from the analysis of this data are not the responsibility of NOAA, the Office for Coastal Management or its partners. |
| Data Set Credit: | NOAA., Department of Commerce (DOC), National Oceanic and Atmospheric Administration (NOAA), National Ocean Service (NOS), National Geodetic Survey (NGS), Remote Sensing Division |
Support Roles
Data Steward
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | National Geodetic Survey (NGS) |
| Address: |
1315 East-West Hwy Silver Spring, MD 20910 |
| ROR: | https://ror.org/02f762h70 |
| URL: | https://geodesy.noaa.gov/ |
Distributor
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | National Geodetic Survey (NGS) |
| Address: |
1315 East-West Hwy Silver Spring, MD 20910 |
| ROR: | https://ror.org/02f762h70 |
| URL: | https://geodesy.noaa.gov/ |
Metadata Contact
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | National Geodetic Survey (NGS) |
| Address: |
1315 East-West Hwy Silver Spring, MD 20910 |
| ROR: | https://ror.org/02f762h70 |
| URL: | https://geodesy.noaa.gov/ |
Point of Contact
| Date Effective From: | 2025 |
|---|---|
| Date Effective To: | |
| Contact (Organization): | National Geodetic Survey (NGS) |
| Address: |
1315 East-West Hwy Silver Spring, MD 20910 |
| ROR: | https://ror.org/02f762h70 |
| URL: | https://geodesy.noaa.gov/ |
Extents
| Currentness Reference: | Ground Condition |
|---|
Extent Group 1
Extent Group 1 / Geographic Area 1
| W° Bound: | -98.31 | |
|---|---|---|
| E° Bound: | -66.9 | |
| N° Bound: | 44.57 | |
| S° Bound: | 26.11 | |
| Description |
Data covers coastal areas of the United States from Maine to Texas. |
|
Extent Group 1 / Time Frame 1
| Time Frame Type: | Range |
|---|---|
| Start: | 2017-01 |
| End: | 2023-06 |
Spatial Information
Spatial Representation
Representations Used
| Vector: | Yes |
|---|
Reference Systems
Reference System 1
Coordinate Reference System |
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Access Information
| Security Class: | Unclassified |
|---|---|
| Data Access Procedure: |
Data is available online for downloads |
| Data Access Constraints: |
None |
| Data Use Constraints: |
Users should be aware that temporal changes may have occurred since this data set was collected and some parts of this data may no longer represent actual surface conditions. Users should not use this data for critical applications without a full awareness of its limitations. |
Distribution Information
Distribution 1
| Download URL: | https://nsde.ngs.noaa.gov/downloads/NOAA_SNT_A_VERT_Gulf_50m.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | NOAA_SNT_A_VERT_Gulf_50m |
| Description: |
Download 50 meter data in shapefile or csv format. |
| File Type (Deprecated): | Zip |
| Distribution Format: | CSV - Comma Separated Values (Text) |
| Compression: | GTAR |
Distribution 2
| Download URL: | https://nsde.ngs.noaa.gov/downloads/NOAA_SNT_A_VERT_100m.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | NOAA_SNT_A_VERT_100m |
| Description: |
Download 100 meter data in shapefile or csv format. |
| Distribution Format: | CSV - Comma Separated Values (Text) |
| Compression: | GTAR |
Distribution 3
| Download URL: | https://nsde.ngs.noaa.gov/downloads/Reports.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | Reports |
| Description: |
Zip file containing NOAA East Coast InSAR Analysis - Calibration Report.pdf, NOAA East Coast InSAR Analysis - Historical Data Report.pdf and NOAA East Coast InSAR Analysis - Imagery Procurement Report.pdf |
| Distribution Format: | PDF - Adobe Portable Document Format |
| Compression: | Zip |
Distribution 4
| Download URL: | https://nsde.ngs.noaa.gov/downloads/NOAA_SNT_A_VERT_MidAtlantic_50m.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | NOAA_SNT_A_VERT_MidAtlantic_50m |
| Description: |
Download 50 meter data in shapefile or csv format. |
| Distribution Format: | CSV - Comma Separated Values (Text) |
| Compression: | GTAR |
Distribution 5
| Download URL: | https://nsde.ngs.noaa.gov/downloads/NOAA_SNT_A_VERT_NorthEast_50m.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | NOAA_SNT_A_VERT_NorthEast_50m |
| Description: |
Download 50 meter data in shapefile or csv format. |
| Distribution Format: | CSV - Comma Separated Values (Text) |
| Compression: | GTAR |
Distribution 6
| Download URL: | https://nsde.ngs.noaa.gov/downloads/NOAA_SNT_A_VERT_SouthEast_50m.zip |
|---|---|
| Distributor: | National Geodetic Survey (NGS) (2025 - Present) |
| File Name: | NOAA_SNT_A_VERT_SouthEast_50m |
| Description: |
Download 50 meter data in shapefile or csv format. |
| Distribution Format: | CSV - Comma Separated Values (Text) |
| Compression: | GTAR |
Technical Environment
| Description: |
OS Independent |
|---|
Data Quality
| Vertical Positional Accuracy: |
The calibrated InSAR measurements covering the full processed area were then compared to the 350 calibration GNSS measurements (projected to the same LOS direction) for the evaluation of the results. The difference between the displacement rate of the InSAR MPs located within a 100-m radius from each GNSS station was calculated with respect to the GNSS displacement rate, weighted on the period of each GNSS time series. The comparison highlights an average rate difference of 0.1 mm/yr and a standard deviation of +/-0.3 mm/yr, confirming the good results of the calibration procedure. It is noted that the high correspondence between the two sets of measurements does not provide an evaluation of the absolute accuracy of the Vertical InSAR results, because this depends on the initial accuracy of the input GNSS data. As recalled in Section 4.1, GNSS measurements have vertical accuracy of 1-2 cm and this should be considered the absolute accuracy of the calibrated InSAR results, even if the initial InSAR relative precision, referred to local reference points, is in the order of a few millimeter. Please see report for more details on the data accuracy. |
|---|
Lineage
Sources
Processing
| Contact Role Type: | Originator |
|---|---|
| Contact Type: | Organization |
| Contact Name: | Tre Altamira |
Process Steps
Process Step 1
| Description: |
Over 3,500 Synthetic Aperture radar (SAR) images, acquired by the European Space Agency (ESA) Sentinel-1 (SNT-1) satellite over the East Coast of the United States between January 2017 and July 2023 from an ascending orbit, were downloaded for the current study. These Synthetic Aperture Radar (SAR) satellites acquired data along swathes (known as tracks), in the C-band wavelength (5.6 cm, 2.2 inches) and with a 5 x 20 meter (65 x 15 ft) ground resolution. |
|---|---|
| Process Contact: | National Geodetic Survey (NGS) |
| ROR: | https://ror.org/02f762h70 |
Process Step 2
| Description: |
The acquired SNT imagery has been processed using the SqueeSAR technique, which is the advanced multiimage InSAR algorithm patented by TREA that provides high precision measurements of ground displacement in the form of a point cloud. By analyzing a stack of SAR images acquired from the same track over an area, the SqueeSAR algorithm identifies and measures the movement of radar reflectors on the ground surface that remain visible and coherent throughout the period of the analysis. The over 3,500 images acquired along the 17 different tracks over the area of interest were processed in approximately 160 separate processing sites, and the results were combined using TREA's wide area processing chain. The analysis of the SNT imagery produced 1-D LOS InSAR measurements (i.e. away or toward the satellite along the satellite LOS) for a total of over 150,000,000 measurement points within the AOI. Due to the high variability of land cover within the area of interest, the MP density varies within the area and the lowest density was obtained over areas affected by strong decorrelation disturbances, such as swamps, areas with extensive snow coverage or dense vegetation. It is finally noted that InSAR natively provides differential displacement measurements, referring to local reference points. The absolute calibration of the LOS measurements for this was performed using the NOAA CORS network. |
|---|---|
| Process Contact: | National Geodetic Survey (NGS) |
| ROR: | https://ror.org/02f762h70 |
Process Step 3
| Description: |
The absolute calibration of the InSAR measurements, which are natively 1-D (LOS) and referred to local reference points, was performed using NOAA's CORS GNSS network. The analysis of the results highlighted a high degree of correspondence between the Vertical GNSS and Vertical InSAR data following the calibration procedure. The average displacement rate difference calculated for the 206 GNSS stations located within the area of interest is -0.1 mm/yr with a standard deviation of +/-0.3 mm/yr. Please see the report for more detailed information on calibration methodology and results. |
|---|---|
| Process Contact: | National Geodetic Survey (NGS) |
| ROR: | https://ror.org/02f762h70 |
Catalog Details
| Catalog Item ID: | 74380 |
|---|---|
| GUID: | gov.noaa.nmfs.inport:74380 |
| Metadata Record Created By: | Maryellen Sault |
| Metadata Record Created: | 2025-01-22 16:56+0000 |
| Metadata Record Last Modified By: | SysAdmin InPortAdmin |
| Metadata Record Last Modified: | 2026-03-04 19:17+0000 |
| Metadata Record Published: | 2025-02-18 |
| Owner Org: | NGS |
| Metadata Publication Status: | Published Externally |
| Do Not Publish?: | N |
| Metadata Last Review Date: | 2022-04-01 |
| Metadata Review Frequency: | 3 Years |
| Metadata Next Review Date: | 2025-04-01 |
