The Reference Elevation Model of Antarctica, Version 1

The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 8-meter spatial resolution. The record includes both the version 1 mosaics and the version 1 strips.

Bibliographic Details
Main Authors: Howat, Ian, Morin, Paul, Porter, Claire, Noh, Myong-Jong
Other Authors: Herried, Brad, Polar Geospatial Center, Byrd Polar Research Center, Blue Waters
Format: Other/Unknown Material
Language:unknown
Published: Harvard Dataverse
Subjects:
Earth and Environmental Sciences
Remote Sensing
Antarctica
Digital Elevation Model
Stereophotogrammetric
Antarc*
Online Access:https://doi.org/10.7910/DVN/SAIK8B
id ftharvardunivdvn:doi:10.7910/DVN/SAIK8B
record_format openpolar
spelling ftharvardunivdvn:doi:10.7910/DVN/SAIK8B 2023-05-15T13:59:58+02:00 The Reference Elevation Model of Antarctica, Version 1 Howat, Ian Morin, Paul Porter, Claire Noh, Myong-Jong Herried, Brad Polar Geospatial Center Byrd Polar Research Center Blue Waters https://doi.org/10.7910/DVN/SAIK8B unknown Harvard Dataverse ArcticDEM https://doi.org/10.7910/DVN/SAIK8B 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 DigitalGlobe satellite imagery, including data from WorldView-1, WorldView-2, and WorldView-3, and a small number from GeoEye-1, acquired between 2009 and 2017, with most collected in 2015 and 2016, over the austral summer seasons (mostly December to March). Earth and Environmental Sciences Remote Sensing Antarctica Digital Elevation Model Stereophotogrammetric Digital Elevation Model ftharvardunivdvn https://doi.org/10.7910/DVN/SAIK8B 2022-09-17T22:20:46Z The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 8-meter spatial resolution. The record includes both the version 1 mosaics and the version 1 strips. Other/Unknown Material Antarc* Antarctica Harvard Dataverse
institution Open Polar
collection Harvard Dataverse
op_collection_id ftharvardunivdvn
language unknown
topic Earth and Environmental Sciences
Remote Sensing
Antarctica
Digital Elevation Model
Stereophotogrammetric
spellingShingle Earth and Environmental Sciences
Remote Sensing
Antarctica
Digital Elevation Model
Stereophotogrammetric
Howat, Ian
Morin, Paul
Porter, Claire
Noh, Myong-Jong
The Reference Elevation Model of Antarctica, Version 1
topic_facet Earth and Environmental Sciences
Remote Sensing
Antarctica
Digital Elevation Model
Stereophotogrammetric
description The Reference Elevation Model of Antarctica (REMA) is a high resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 8-meter spatial resolution. The record includes both the version 1 mosaics and the version 1 strips.
author2 Herried, Brad
Polar Geospatial Center
Byrd Polar Research Center
Blue Waters
format Other/Unknown Material
author Howat, Ian
Morin, Paul
Porter, Claire
Noh, Myong-Jong
author_facet Howat, Ian
Morin, Paul
Porter, Claire
Noh, Myong-Jong
author_sort Howat, Ian
title The Reference Elevation Model of Antarctica, Version 1
title_short The Reference Elevation Model of Antarctica, Version 1
title_full The Reference Elevation Model of Antarctica, Version 1
title_fullStr The Reference Elevation Model of Antarctica, Version 1
title_full_unstemmed The Reference Elevation Model of Antarctica, Version 1
title_sort reference elevation model of antarctica, version 1
publisher Harvard Dataverse
url https://doi.org/10.7910/DVN/SAIK8B
genre Antarc*
Antarctica
genre_facet Antarc*
Antarctica
op_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 DigitalGlobe satellite imagery, including data from WorldView-1, WorldView-2, and WorldView-3, and a small number from GeoEye-1, acquired between 2009 and 2017, with most collected in 2015 and 2016, over the austral summer seasons (mostly December to March).
op_relation ArcticDEM
https://doi.org/10.7910/DVN/SAIK8B
op_doi https://doi.org/10.7910/DVN/SAIK8B
_version_ 1766268893326737408

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