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Part 1: Document Description
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Citation |
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Title: |
The Reference Elevation Model of Antarctica - Strips, Version 4.1 |
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Identification Number: |
doi:10.7910/DVN/X7NDNY |
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Distributor: |
Harvard Dataverse |
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Date of Distribution: |
2022-09-29 |
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Version: |
1 |
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Bibliographic Citation: |
Howat, Ian; Porter, Claire; Noh, Myoung-Jon; Husby, Erik; Khuvis, Samuel; Danish, Evan; Tomko, Karen; Gardiner, Judith; Negrete, Adelaide; Yadav, Bidhyananda; Klassen, James; Kelleher, Cole; Cloutier, Michael; Bakker, Jesse; Enos, Jeremy; Arnold, Galen; Bauer, Greg; Morin, Paul, 2022, "The Reference Elevation Model of Antarctica - Strips, Version 4.1", https://doi.org/10.7910/DVN/X7NDNY, Harvard Dataverse, V1 |
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Citation |
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Title: |
The Reference Elevation Model of Antarctica - Strips, Version 4.1 |
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Alternative Title: |
REMA |
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Identification Number: |
doi:10.7910/DVN/X7NDNY |
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Authoring Entity: |
Howat, Ian (The Ohio State University) |
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Porter, Claire (University of Minnesota) |
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Noh, Myoung-Jon (The Ohio State University) |
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Husby, Erik (University of Minnesota) |
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Khuvis, Samuel (Ohio Supercomputing Center) |
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Danish, Evan (The Ohio State University) |
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Tomko, Karen (Ohio Supercomputing Center) |
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Gardiner, Judith (Ohio Supercomputing Center) |
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Negrete, Adelaide (The Ohio State University) |
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Yadav, Bidhyananda (The Ohio State University) |
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Klassen, James (University of Minnesota) |
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Kelleher, Cole (University of Minnesota) |
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Cloutier, Michael (University of Minnesota) |
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Bakker, Jesse (University of Minnesota) |
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Enos, Jeremy (National Center for Supercomputing Applications) |
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Arnold, Galen (National Center for Supercomputing Applications) |
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Bauer, Greg (National Center for Supercomputing Applications) |
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Morin, Paul (University of Minnesota) |
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Other identifications and acknowledgements: |
Byrd Polar Research Center |
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Other identifications and acknowledgements: |
Polar Geospatial Center |
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Other identifications and acknowledgements: |
Ohio Supercomputing Center |
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Other identifications and acknowledgements: |
National Center for Supercomputing Applications |
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Producer: |
Polar Geospatial Center |
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Software used in Production: |
Surface Extraction from TIN-based Searchspace Minimization (SETSM) |
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Grant Number: |
1543501 |
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Grant Number: |
1810976 |
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Grant Number: |
1542736 |
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Grant Number: |
1559691 |
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Grant Number: |
1043681 |
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Grant Number: |
1541332 |
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Grant Number: |
2129685 |
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Grant Number: |
1238993 |
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Grant Number: |
NNX10AN61G |
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Distributor: |
Harvard Dataverse |
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Distributor: |
Polar Geospatial Center |
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Access Authority: |
Polar Geospatial Center |
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Date of Distribution: |
2022-10-11 |
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Series Name: |
The Reference Elevation Model of Antarctica |
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Holdings Information: |
https://doi.org/10.7910/DVN/X7NDNY |
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Study Scope |
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Keywords: |
Earth and Environmental Sciences, Earth and Environmental Sciences, Remote Sensing, Antarctica, Digital Elevation Model, Digital Surface Model, Photogrammetry |
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Abstract: |
The Reference Elevation Model of Antarctica (REMA) is a high-resolution, time-stamped Digital Surface Model (DSM) of Antarctica at 2-meter spatial resolution. REMA version 4.1 DSM strips are a 13-year time series of elevation data derived from satellite imagery using photogrammetric methods. |
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Time Period: |
2009-2021 |
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Country: |
Antarctica |
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Geographic Bounding Box: |
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Kind of Data: |
Digital Elevation Model |
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Notes: |
Dataset downloads, description, and documentation can be found at https://www.pgc.umn.edu/data/rema/ |
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Methodology and Processing |
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Sources Statement |
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Data Sources: |
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. |
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Data Access |
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Citation Requirement: |
See PGC Acknowledgement Policy at https://www.pgc.umn.edu/guides/user-services/acknowledgement-policy/ |
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Notes: |
This dataset is made available under a Creative Commons CC4 license with the following additional/modified terms and conditions: |
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Other Study Description Materials |
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Related Studies |
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Arcticdem, EarthDEM |
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