The Reference Elevation Model of Antarctica (REMA) is a high resolution,
time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter
spatial resolutions.
Mosaicked DEM files are compiled from multiple strips that have been
co-registered, blended, and feathered to reduce edge-matching artifacts.
Bands
Pixel Size 8 meters
Bands
Name
Units
Description
elevation
m
Elevation
Terms of Use
Terms of Use
National Science Foundation (PGC's primary funding source) policy requires
researchers to acknowledge NSF support in all publications, web pages, and
media interviews.
By using PGC data in Earth Engine, users agree to cite PGC
and its sponsorship by the NSF. The original source of any third-party data
supplied by PGC must also be properly attributed.
The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter and 8-meter spatial resolutions. Mosaicked DEM files are compiled from multiple strips that have been co-registered, blended, and feathered to reduce edge-matching artifacts.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["The Reference Elevation Model of Antarctica (REMA) provides a high-resolution Digital Surface Model (DSM) of Antarctica at 8-meter and 2-meter resolutions, timestamped between 2009 and 2018."],["REMA data is compiled from multiple strips that are co-registered, blended, and feathered to minimize edge-matching artifacts."],["This dataset is provided by the University of Minnesota Polar Geospatial Center and requires acknowledgement of NSF support and proper attribution in publications and media using the data."],["Users can access and analyze REMA data through Google Earth Engine, a platform for petabyte-scale scientific analysis and visualization of geospatial datasets."],["Researchers are encouraged to cite Howat et al.(2019) when using REMA data in their work."]]],[]]