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Digital Elevation Models: Terminology and Definitions
Abstract
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.
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DEMs can be categorized into digital surface models (DSMs), which represent features above the surface, and digital terrain models (DTMs), which represent the elevation of the ground surface.
“DEMs can be categorized into two types [19]: digital surface models (DSMs), which represent features above the surface, such as vegetation and buildings, and digital terrain models (DTMs), which represent the elevation of the ground surface.”
From ANADEM: A Digital Terrain Model for South America (2024) · cites this paper as [19]
Section 3.3 defines DSMs as DEMs recording the surface that includes vegetation or built features, and DTMs as bare-earth DEMs. But the Conclusions say DEMs can also represent non-vegetated surfaces, sensor surfaces, or combinations, so the claim's division into only two types is too restrictive. (LLM, conf=0.88)
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ANADEM: A Digital Terrain Model for South America
Laipelt, L., Comini de Andrade, B., Collischonn, W., de Amorim Teixeira, A., Paiva, R. C. D. D., & Ruhoff, A. (2024) · Remote Sensing · doi:10.3390/rs16132321 · Cited by 79
A long-term monthly surface water storage dataset for the Congo basin from 1992 to 2015
Kitambo, B. M., Papa, F., Paris, A., Tshimanga, R. M., Frappart, F., Calmant, S., Elmi, O., Fleischmann, A. S., Becker, M., Tourian, M. J., et al. (2023) · Earth System Science Data · doi:10.5194/essd-15-2957-2023 · Cited by 19
Metadata
- Authors
- Guth, P. L., Van Niekerk, A., Grohmann, C. H., Muller, J.-P., Hawker, L., Florinsky, I. V., Gesch, D., Reuter, H. I., Herrera-Cruz, V., Riazanoff, S., López-Vázquez, C., Carabajal, C. C., Albinet, C., & Strobl, P.
- Venue
- Remote Sensing
- Publisher
- MDPI AG
- Published
- 2021-09-08
- Volume
- 13
- Issue
- 18
- Pages
- 3581
- ISSN
- 2072-4292
- Cited by
- 234
- References
- 0
- Language
- en
- Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo (#2019/26568-0)
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (#423481/2018-5, #304413/2018-6)
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