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Digital Elevation Models: Terminology and DefinitionsAbstract:Digital elevation models (DEMs) provide fundamental depictions of the three-dimensionalshape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record theinterface between the atmosphere and the lithosphere using a discrete two-dimensional grid, withcomplexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere.The treatment of DEM surfaces, affected by these intervening spheres, depends on their intendeduse, and the characteristics of the sensors that were used to create them. DEM is a general term,and more specific terms such as digital surface model (DSM) or digital terrain model (DTM) recordthe treatment of the intermediate surfaces. Several global DEMs generated with optical (visible andnear-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars andproducts of satellite altimetry, share the common characteristic of a georectified, gridded storagestructure. Nevertheless, not all DEMs share the same vertical datum, not all use the same conventionfor the area on the ground represented by each pixel in the DEM, and some of them have variable dataspacings depending on the latitude. This paper highlights the importance of knowing, understandingand reflecting on the sensor and DEM characteristics and consolidates terminology and definitions ofkey concepts to facilitate a common understanding among the growing community of DEM users,who do not necessarily share the same background
Document ID
20220000188
Acquisition Source
Goddard Space Flight Center
Document Type
Reprint (Version printed in journal)
Authors
Peter L Guth
(United States Naval Academy Annapolis, Maryland, United States)
Adriaan Van Niekerk
(Stellenbosch University Stellenbosch, Western Cape, South Africa)
Carlos H Grohmann
(Sao Paulo State University São Paulo, Brazil)
Jan-Peter Muller
(University College London London, United Kingdom)
Laurence Hawker
(University of Bristol Bristol, United Kingdom)
Igor V Florinsky
(Keldysh Institute of Applied Mathematics Moscow, Russia)
Dean Gesch
(United States Geological Survey Reston, Virginia, United States)
Hannes I Reuter
(Eurostat Luxembourg, Luxembourg)
Virginia Herrera-Cruz
(Airbus (Germany) Hamburg, Germany)
Serge Riazanoff
(VisioTerra)
Carlos López-Vázquez
(Universidad Ort Uruguay Montevideo, Uruguay)
Claudia C Carabajal
(Science Systems and Applications (United States) Lanham, Maryland, United States)
Clement Albinet
(European Space Agency Paris, France)
Peter Strobl
(European Commission Brussels, Belgium)
Date Acquired
January 19, 2022
Publication Date
September 8, 2021
Publication Information
Publication: Remote Sensing
Publisher: MDPI
Volume: 13
Issue: 18
Issue Publication Date: September 8, 2021
e-ISSN: 2072-4292
Subject Category
Earth Resources And Remote Sensing
Funding Number(s)
CONTRACT_GRANT: 80GSFC20C0044
Distribution Limits
Public
Copyright
Portions of document may include copyright protected material.
Technical Review
External Peer Committee
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