Digital Elevation Models: Terminology and Definitions

Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities i...

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Main Authors: Peter L. Guth, Adriaan Van Niekerk, Carlos H. Grohmann, Jan-Peter Muller, Laurence Hawker, Igor V. Florinsky, Dean Gesch, Hannes I. Reuter, Virginia Herrera-Cruz, Serge Riazanoff, Carlos López-Vázquez, Claudia C. Carabajal, Clément Albinet, Peter Strobl
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Remote Sensing
Subjects:
DEM
Online Access:https://www.mdpi.com/2072-4292/13/18/3581
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spelling doaj-a47a1d21d2cc4508848bcb26c4649e762021-09-26T01:15:51ZengMDPI AGRemote Sensing2072-42922021-09-01133581358110.3390/rs13183581Digital Elevation Models: Terminology and DefinitionsPeter L. Guth0Adriaan Van Niekerk1Carlos H. Grohmann2Jan-Peter Muller3Laurence Hawker4Igor V. Florinsky5Dean Gesch6Hannes I. Reuter7Virginia Herrera-Cruz8Serge Riazanoff9Carlos López-Vázquez10Claudia C. Carabajal11Clément Albinet12Peter Strobl13Department of Oceanography, US Naval Academy, Annapolis, MD 21402, USADepartment of Geography and Environmental Studies, Stellenbosch University, Stellenbosch 7600, South AfricaInstitute of Energy and Environment, University of São Paulo, São Paulo 05508-010, BrazilMullard Space Science Laboratory, Department of Space & Climate Physics, University College London, Holmbury St Mary, Surrey RH5 6NT, UKSchool of Geographical Sciences, University of Bristol, Bristol BS8 1SS, UKInstitute of Mathematical Problems of Biology, Keldysh Institute of Applied Mathematics, Russian Academy of Sciences, 142290 Pushchino, RussiaU.S. Geological Survey, Earth Resources Observation and Science Center, Sioux Falls, SD 57198, USAEurostat, European Commission, L-2920 Luxembourg, LuxembourgAirbus Defence and Space, 88039 Friedrichshafen, GermanyVisioTerra, 14 rue Albert Einstein, Champs-sur-Marne, 77420 Paris, FranceLatinGEO Lab IGM+ORT, Universidad ORT Uruguay, Montevideo 11100, UruguayNASA Goddard Space Flight Center Geodesy and Geophysics Laboratory, SSAI Inc., Mail Code 61A, Greenbelt, MD 20771, USAESA—European Space Agency-Via Galileo Galilei, 1, 00044 Frascati, ItalyEuropean Commission, DG Joint Research Centre, 21027 Ispra, ItalyDigital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces, affected by these intervening spheres, depends on their intended use, 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) record the treatment of the intermediate surfaces. Several global DEMs generated with optical (visible and near-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars and products of satellite altimetry, share the common characteristic of a georectified, gridded storage structure. Nevertheless, not all DEMs share the same vertical datum, not all use the same convention for the area on the ground represented by each pixel in the DEM, and some of them have variable data spacings depending on the latitude. This paper highlights the importance of knowing, understanding and reflecting on the sensor and DEM characteristics and consolidates terminology and definitions of key concepts to facilitate a common understanding among the growing community of DEM users, who do not necessarily share the same background.https://www.mdpi.com/2072-4292/13/18/3581DEMtopographyelevationsurfacemodelinggeomorphometry
collection DOAJ
language English
format Article
sources DOAJ
author Peter L. Guth
Adriaan Van Niekerk
Carlos H. Grohmann
Jan-Peter Muller
Laurence Hawker
Igor V. Florinsky
Dean Gesch
Hannes I. Reuter
Virginia Herrera-Cruz
Serge Riazanoff
Carlos López-Vázquez
Claudia C. Carabajal
Clément Albinet
Peter Strobl
spellingShingle Peter L. Guth
Adriaan Van Niekerk
Carlos H. Grohmann
Jan-Peter Muller
Laurence Hawker
Igor V. Florinsky
Dean Gesch
Hannes I. Reuter
Virginia Herrera-Cruz
Serge Riazanoff
Carlos López-Vázquez
Claudia C. Carabajal
Clément Albinet
Peter Strobl
Digital Elevation Models: Terminology and Definitions
Remote Sensing
DEM
topography
elevation
surface
modeling
geomorphometry
author_facet Peter L. Guth
Adriaan Van Niekerk
Carlos H. Grohmann
Jan-Peter Muller
Laurence Hawker
Igor V. Florinsky
Dean Gesch
Hannes I. Reuter
Virginia Herrera-Cruz
Serge Riazanoff
Carlos López-Vázquez
Claudia C. Carabajal
Clément Albinet
Peter Strobl
author_sort Peter L. Guth
title Digital Elevation Models: Terminology and Definitions
title_short Digital Elevation Models: Terminology and Definitions
title_full Digital Elevation Models: Terminology and Definitions
title_fullStr Digital Elevation Models: Terminology and Definitions
title_full_unstemmed Digital Elevation Models: Terminology and Definitions
title_sort digital elevation models: terminology and definitions
publisher MDPI AG
series Remote Sensing
issn 2072-4292
publishDate 2021-09-01
description Digital elevation models (DEMs) provide fundamental depictions of the three-dimensional shape of the Earth’s surface and are useful to a wide range of disciplines. Ideally, DEMs record the interface between the atmosphere and the lithosphere using a discrete two-dimensional grid, with complexities introduced by the intervening hydrosphere, cryosphere, biosphere, and anthroposphere. The treatment of DEM surfaces, affected by these intervening spheres, depends on their intended use, 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) record the treatment of the intermediate surfaces. Several global DEMs generated with optical (visible and near-infrared) sensors and synthetic aperture radar (SAR), as well as single/multi-beam sonars and products of satellite altimetry, share the common characteristic of a georectified, gridded storage structure. Nevertheless, not all DEMs share the same vertical datum, not all use the same convention for the area on the ground represented by each pixel in the DEM, and some of them have variable data spacings depending on the latitude. This paper highlights the importance of knowing, understanding and reflecting on the sensor and DEM characteristics and consolidates terminology and definitions of key concepts to facilitate a common understanding among the growing community of DEM users, who do not necessarily share the same background.
topic DEM
topography
elevation
surface
modeling
geomorphometry
url https://www.mdpi.com/2072-4292/13/18/3581
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