ArcticDEM是NGA-NSF的一项倡议，旨在利用光学立体图像、高性能计算和开源摄影测量软件自动生成高分辨率、高质量的北极数字表面模型（DSM）。
ArcticDEM is an NGA-NSF initiative to automatically produce a high-resolution, high quality, digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software.
Want to jump right to the data?
We encourage you to read this documentation, but the link is provided below!
Want to stay updated?
Subscribe to our mailing list!
Overview
Purpose
The ArcticDEM project is a response to the need for high quality elevation data in remote locations, the availability of technology to process big data, and the need for accurate measurement of topographic change.
The producers did not intend for the final product as a single “eyes on” or edited product, but rather a collection of time-dependent elevation models and the infrastructure to process the flow of imagery from an ever-expanding constellation of satellites producing an ever-increasing volume of high-quality data.
Source
ArcticDEM is constructed from hundreds of thousands of individual stereoscopic Digital Elevation Models (DEM) extracted from pairs of submeter (0.32 to 0.5 m) resolution Maxar satellite imagery, including data from WorldView-1, WorldView-2, and WorldView-3, and a small number from GeoEye-1, acquired between 2007 and 2021 over the summer seasons.
Each individual DEM was vertically registered to satellite altimetry measurements from Cryosat-2 and ICESat, resulting in absolute uncertainties of less than 1 m over most of its area, and relative uncertainties of decimeters.
Processing
ArcticDEM data is generated by applying stereo auto-correlation techniques to overlapping pairs of high-resolution optical satellite images.
Using the Surface Extraction from TIN-based Searchspace Minimization (SETSM) software, developed by M.J. Noh and Ian Howat at the Ohio State University, stereopair images are processed to Digital Elevation Models using compute resources provided by the Blue Waters supercomputer located at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign.
Output
Output DEM raster files are being made available as both “strip” files as they are output directly from SETSM that preserve the original source material temporal resolution, as well as mosaic files that are compiled from multiple strips that have been co-registered, blended, and feathered to reduce edge-matching artifacts.
The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over larger areas, while also providing a time stamp and error estimate for each pixel to enable to change detection.
Documentation
Refer to these guides for official ArcticDEM information & citation.
Citation
Along with acknowledging the PGC, the REMA dataset should be cited as follows:
Strips:
Porter, Claire, et al., 2022, “ArcticDEM – Strips, Version 4.1”, https://doi.org/10.7910/DVN/C98DVS, Harvard Dataverse, V1, [Date Accessed].
Mosaics:
Porter, Claire, et al., 2018, “ArcticDEM, Version 3”, https://doi.org/10.7910/DVN/OHHUKH, Harvard Dataverse, V1, [Date Accessed].
Current Release
October 2022 | Partial Release – DEM Strips ONLY
ArcticDEM elevation strips are updated to reflect expanded temporal ranges. The current release includes all previous coverage, spanning 15 years, with forthcoming DEM mosaics.
DEM STRIPS
Version s2s041 – Supersedes all ArcticDEM v3 strip data
DEM MOSAICS
Version 4 – COMING SOON
See PGCs DEM Product Guide for more information
ArcticDEM Strips
Strip DEM files correspond to the overlapping area of the input stereoscopic imagery pair strips as they are collected by Maxar’s constellation of polar-orbiting satellites. Strip DEM dimensions will vary according to the satellite sensor that acquired the images and the off-nadir angle of collection. Most strips are between 13 km and 17 km in width, and 110 km and 120 km in length.
Strip DEM files are provided at 2-meter resolution in 32-bit GeoTIFF format. Elevation units are meters and are referenced to the WGS84 ellipsoid. No ground control or altimetry registration has been applied to the strips.
STATISTICS
TOTAL STRIPS
440,949
TOTAL STRIP DEM FILE SIZE
163 TB
DOWNLOADS
ArcticDEM Strip DEM extent index
- ArcticDEM Strip DEMs (browser)
ArcticDEM Strip Coverage (Release Oct 2022)
ArcticDEM Strip Density (Release Oct 2022)
ArcticDEM Mosaic
Version 4 – COMING SOON
Mosaicked DEM files are compiled from from the best quality strip DEM files which have been blended and feathered to reduce void areas and edge-matching artifacts. Filtered IceSAT altimetry data has been applied to the raster files to improve absolute accuracy.
Mosaicked DEM files are distributed in 50 km x 50 km sub-tiles. Mosaicked DEMs are provided at 2-meter spatial resolution in 32-bit GeoTIFF format. Reduced resolution versions are also available at 10 meter, 32 meter, 100 meter, 500 meter, and 1 kilometer resolutions. Elevation units are meters and are referenced to the WGS84 ellipsoid.
ArcticDEM Mosaic Coverage (Version 3)
STATISTICS
VERSION 3 – TOTAL MOSAIC TILES (2M)
9,228
TOTAL MOSAIC TILE FILE SIZE
16 TB
DOWNLOADS
ArcticDEM Mosaic DEM extent index
ArcticDEM Mosaic DEMs available at multiple resolutions (browser)
Explore Data
PGC and ESRI developed web services and applications in support of ArcticDEM data that, in addition to providing raw download capability, can be used to view, explore and perform basic analysis and geoprocessing tasks.
ArcticDEM Explorer
The ArcticDEM Explorer is the best way to preview the datasets if no GIS or remote sensing software is available or you simply want to explore the entire dataset quickly. The full-resolution REMA strips and mosaics are presented in this web map to quickly preview and explore the elevation data. With this web map, users can visualize the ArcticDEM data, preview the spatial coverage, and download simple exports.
There is no login required but if you download or use any ArcticDEM data from the app (or otherwise), you must adhere to PGC’s Acknowledgement Policy.
The ArcticDEM Explorer, developed by PGC and Esri, allows for visualization and basic analysis of the ArcticDEM products.
Download from PGC
ArcticDEM Strip DEM extent index – with data download links: (SHP | GDB | GPKG)
ArcticDEM Strip DEM data download via HTTP (browser): https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/strips/s2s041/2m
ArcticDEM Mosaic DEM extent indexes – with data download links: (SHP | GDB | GPKG)
ArcticDEM Mosaic DEM data download via HTTP (browser): Index of /elev/dem/setsm/ArcticDEM/mosaic/v3.0
Bulk Download
Use the links below to browse the directory for the entire ArcticDEM dataset. Refer to the User Documentation to see the directory structure, naming schemes, and download contents.
Users familiar with the GNU Wget utility can use the following commands to batch download ArcticDEM data. There is also a Windows version.
Please note, the first two commands will download the entire dataset, which is over 200 TB for strips and 20 TB for mosaics. Use the subdirectory examples to limit your download.
2-METER STRIPS (ENTIRE DATASET!)
wget -r -N -nH -np -R index.html* --cut-dirs=3 https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/strips/s2s041/2m/
2-METER MOSAIC TILES (ENTIRE DATASET!)
wget -r -N -nH -np -R index.html* --cut-dirs=3 https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/2m/
2-METER STRIPS (SUBDIRECTORY EXAMPLE)
wget -r -N -nH -np -R index.html* --cut-dirs=6 https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/strips/s2s041/2m/n55e155/
2-METER MOSAIC TILES (SUBDIRECTORY EXAMPLE)
wget -r -N -nH -np -R index.html* --cut-dirs=6 https://data.pgc.umn.edu/elev/dem/setsm/ArcticDEM/mosaic/v3.0/2m/15_27/
Download from AWS
Strip DEMs available at 2-meter resolution.
All publicly-available DEM data from our projects are also hosted in an open AWS bucket and indexed with a STAC catalog. DEM data assets can be identified using the DEM STAC items and downloaded or used directly in the cloud.
ArcticDEM AWS Open Data Registry page:
Web Services & Applications
Need help connecting to web service layers? Check out PGC’s guide to using web services in ArcGIS and QGIS to get you started.
ArcticDEM 2m Strip Index
- Feature Service: PGC_ArcticDEM_Strip_Index (FeatureServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=5ea162d2914e4fb7b214996c81ff391d
ArcticDEM 2m Tile Index
- Feature Service: PGC_ArcticDEM_Tile_Index (FeatureServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=4b00b48f611d43f7bb57c2ba70a554ab
ArcticDEM Mosaic-only Image Service:
ArcticDEM composite (strip and mosaic) Image Service
- REST Endpoint: arcticdem_rel2210 (ImageServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=715d91206df3475d8c0e4aee6f56ca93
- WMS Service: https://di-pgc.img.arcgis.com/arcgis/services/arcticdem_rel2210/ImageServer/WMSServer
- WCS Service: https://di-pgc.img.arcgis.com/arcgis/services/arcticdem_rel2210/ImageServer/WCSServer
Maps
MAP POSTER
A shaded relief version of the ArcticDEM dataset with voids filled and the resolution reduced is available as a 36″x36″ map poster. There are two versions, one that contains cartographic elements such as cities, research sites, and administrative boundaries and one that is just the hillshade image. The maps can be viewed/downloaded below. Please note, these maps are not for use in GIS.
HILLSHADE VERSION
Download Map (pdf)
CARTOGRAPHIC VERSION
Download Map (pdf)
REMA
The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter spatial resolution.
Want to jump right to the data?
We encourage you to read this documentation, but the link is provided below.
Want to stay updated?
Subscribe to our mailing list.
Overview
Purpose
The Reference Elevation Model of Antarctica (REMA) provides the first, high resolution (2-meter) terrain map of nearly the entire continent. Since each REMA grid point has a timestamp, any past or future point observation of elevation provides a measurement of elevation change.
REMA may provide corrections for a wide range of remote sensing processing activities, such image orthorectification and interferometry, and provide constraints for geodynamic and ice flow modeling, mapping of grounding lines, and surface processes. REMA also provides a powerful new resource for field logistics planning.
Source
REMA is constructed from hundreds of thousands of individual stereoscopic Digital Elevation Models (DEM) extracted from pairs of submeter (0.32 to 0.5 m) resolution Maxar satellite imagery, including data from WorldView-1, WorldView-2, and WorldView-3, and a small number from GeoEye-1, acquired between 2009 and 2021 over the austral summer seasons (mostly December to March).
Each individual DEM was vertically registered to satellite altimetry measurements from Cryosat-2 and ICESat, resulting in absolute uncertainties of less than 1 m over most of its area, and relative uncertainties of decimeters.
Processing
REMA is generated by applying fully automated, stereo auto-correlation techniques to overlapping pairs of high-resolution optical satellite images.
Using the open source Surface Extraction from TIN-based Searchspace Minimization (SETSM) software, developed by M.J. Noh and Ian Howat at the Ohio State University, stereopair images were processed to Digital Elevation Models using compute resources provided through an Innovation Allocation on the Blue Waters supercomputer located at the National Center for Supercomputing Applications at the University of Illinois at Urbana-Champaign.
Output
Output DEM raster files are being made available as both “strip” files as they are output directly from SETSM that preserve the original source material temporal resolution, as well as mosaic files that are compiled from multiple strips that have been co-registered, blended, and feathered to reduce edge-matching artifacts.
The time-dependent nature of the strip DEM files allows users to perform change detection analysis and to compare observations of topography data acquired in different seasons or years. The mosaic DEM tiles are assembled from multiple strip DEMs with the intention of providing a more consistent and comprehensive product over larger areas, while also providing a time stamp and error estimate for each pixel to enable to change detection. The tile data are registered to satellite altimetry to increase their absolute accuracy while strips are not. Registration data for strips may be provided in later REMA versions.
Documentation
Refer to these documents and guides for official REMA information & citation.
Citation
Along with acknowledging the PGC, the REMA dataset should be cited as follows:
Strips:
Howat, Ian, et al., 2022, “The Reference Elevation Model of Antarctica – Strips, Version 4.1”, https://doi.org/10.7910/DVN/X7NDNY, Harvard Dataverse, V1, [Date Accessed].
Mosaics:
Howat, Ian, et al., 2022, “The Reference Elevation Model of Antarctica – Mosaics, Version 2”, https://doi.org/10.7910/DVN/EBW8UC, Harvard Dataverse, V1, [Date Accessed].
Current Release
October 2022 Release
REMA elevation products are updated to reflect expanded temporal ranges and improved mosaicking methods. The current release includes all previous coverage, spanning 12 years, and for the first time includes subantarctic islands near South America.
DEM STRIPS
Version s2s041 – Supersedes all REMA v1 strip data
DEM MOSAICS
Version 2 – New methodology applied
See PGCs DEM Product Guide for more information
REMA Strips
Strip DEM files correspond to the overlapping area of the input stereoscopic imagery pair strips as they are collected by Maxar’s constellation of polar-orbiting satellites. Strip DEM dimensions will vary according to the satellite sensor that acquired the images and the off-nadir angle of collection. Most strips are between 13 km and 17 km in width, and 110 km and 120 km in length.
Strip DEM files are provided at 2-meter resolution in 32-bit GeoTIFF format. Elevation units are meters and are referenced to the WGS84 ellipsoid. No ground control or altimetry registration has been applied to the strips.
STATISTICS
TOTAL STRIPS
311,892
TOTAL STRIP DEM FILE SIZE
104 TB
DOWNLOADS
REMA Strip DEM extent index
- REMA Strip DEMs (browser)
REMA Strip Coverage (Release Oct 2022)
REMA Strip Density (Release Oct 2022)
REMA Mosaic
MOSAIC TILES
DEM mosaic tiles are formed into 100km x 100 km tiles in the local projection using the entire stack of strip DEMs as source data. As a result the REMA mosaics include DEMs from austral summer season where the sun elevation is sufficiently high to acquire satellite imagery.
REMA Mosaic Coverage (Release Oct 2022)
STATISTICS
TOTAL MOSAIC TILES (2M)
5,801
TOTAL MOSAIC TILE FILE SIZE
8.4 TB
DOWNLOADS
REMA Mosaic DEM extent index
REMA Mosaic DEMs available at multiple resolutions (browser)
Explore Data
PGC and ESRI developed web services and applications in support of REMA data that, in addition to providing raw download capability, can be used to view, explore and perform basic analysis and geoprocessing tasks.
REMA Explorer
The REMA Explorer is the best way to preview the datasets if no GIS or remote sensing software is available or you simply want to explore the entire dataset quickly. The full-resolution REMA strips and mosaics are presented in this web map to quickly preview and explore the elevation data. With this web map, users can visualize the REMA data, preview the spatial coverage, and download simple exports.
There is no login required but if you download or use any REMA data from the app (or otherwise), you must adhere to PGC’s Acknowledgement Policy.
The REMA Explorer, developed by PGC and Esri, allows for visualization and download of REMA products.
Download from PGC
REMA Strip DEM extent index – with data download links (SHP | GDB | GPKG)
REMA Strip DEM data download via HTTP (browser): https://data.pgc.umn.edu/elev/dem/setsm/REMA/strips/s2s041/2m
REMA Mosaic DEM extent indexes – with data download links (SHP | GDB | GPKG)
REMA Mosaic DEM data download via HTTP (browser): https://data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v3.0
Bulk Download
Use the links below to browse the directory for the entire REMA dataset. Refer to the User Documentation to see the directory structure, naming schemes, and download contents.
HTTP: Index of /elev/dem/setsm/REMA
Users familiar with the GNU Wget utility can use the following commands to batch download REMA data. There is also a Windows version.
Please note, the first two commands will download the entire dataset, which is over 200 TB for strips and 20 TB for mosaics. Use the subdirectory examples to limit your download.
2-METER STRIPS (ENTIRE DATASET!)
wget -r -N -nH -np -R index.html* --cut-dirs=3 https://data.pgc.umn.edu/elev/dem/setsm/REMA/strips/s2s041/2m/
2-METER MOSAIC TILES (ENTIRE DATASET!)
wget -r -N -nH -np -R index.html* --cut-dirs=3 https://data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v2.0/2m/
2-METER STRIPS (SUBDIRECTORY EXAMPLE)
wget -r -N -nH -np -R index.html* --cut-dirs=6 https://data.pgc.umn.edu/elev/dem/setsm/REMA/strips/s2s041/2m/s72e155/
2-METER MOSAIC TILES (SUBDIRECTORY EXAMPLE)
wget -r -N -nH -np -R index.html* --cut-dirs=6 https://data.pgc.umn.edu/elev/dem/setsm/REMA/mosaic/v2.0/2m/18_28/
Download from AWS
Strip DEMs available at 2-meter resolution.
All publicly-available DEM data from our projects are also hosted in an open AWS bucket and indexed with a STAC catalog. DEM data assets can be identified using the DEM STAC items and downloaded or used directly in the cloud.
REMA AWS Open Data Registry page:
Web Services & Applications
Need help connecting to web service layers? Check out PGC’s guide to using web services in ArcGIS and QGIS to get you started.
REMA 2m Strip Index
- Feature Service: PGC_REMA_Strip_Index (FeatureServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=5ea162d2914e4fb7b214996c81ff391d
REMA 2m Tile Index
- Feature Service: PGC_REMA_v2_Tile_Index (FeatureServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=31fb313d965e499ba98323ed494b10ba
REMA Mosaic-only Image Service:
REMA composite (strip and mosaic) Image Service
- REST Endpoint: rema_rel2210 (ImageServer)
- ArcGIS Online Item: https://umn.maps.arcgis.com/home/item.html?id=c7146f29d7e54c8bb00a7ec7d8ea47b6
- WMS Service: https://di-pgc.img.arcgis.com/arcgis/services/rema_rel2210/ImageServer/WMSServer
- WCS Service: https://di-pgc.img.arcgis.com/arcgis/services/rema_rel2210/ImageServer/WCSServer
Maps
MAP POSTER
A shaded relief map poster of the REMA dataset with voids filled and the resolution reduced to 500 meters is available as a 44″x36″ map poster. There are two versions, one that contains cartographic elements such as place name labels, graticules, and facilities, and one that is just the shaded relief image. The maps can be downloaded below.
SHADED RELIEF VERSION
CARTOGRAPHIC VERSION
LARGE-FORMAT PRINTS
If the above format isn’t large enough for you, a number of high-resolution images have been created to be printed on a large-format plotter for display on a floor or a large wall. The full continent of Antarctica is available as three strips sized at 36″x132″ with a final size of 9’x11′ when fully assembled. The Antarctic Peninsula and the Thwaites/Pine Island Glacier area of West Antarctica are also available.
All files are downloadable with the links below in .jpg format. Please note: file sizes may be up to 50 Mb.
- Antarctica: Strip 1, Strip 2, Strip 3
- Antarctic Peninsula: Strip 1
- Thwaites / Pine Island Glaciers: Strip 1, Strip 2, Strip 3
Large-format prints of the Reference Elevation Model of Antarctica. source: Paul Morin, Polar Geospatial Center
