Abstract
Digital relief models provide a digital elevation and/or bathymetry representation of the earth surface onto which data from remote sensing satellites can be projected to show these data in a virtual 3D rendering. Prior to satellite altimetry mapping, the only way to obtain such maps was from surface mapping or photogrammetry from stereo photos from aircraft for onshore and from onboard echolot measurements of the water depth. Remote sensing has changed the spatial coverage and the accuracy of digital relief models completely. We provide a summary on the different types of digital relief models, show their global coverage and list the characteristic parameters before showing applications from local to global scale.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Digital Elevation Models General
Wilson, J. P., & Gallant, J. C. (2000). Chapter 1. In J. P. Wilson & J. C. Gallant (Eds.), Terrain analysis: Principles and applications (pp. 1–27). Wiley. ISBN 978-0-471-32188-0.
ASTER GDEM V3
Abrams, M., & Crippen, R. (2019). ASTER GDEM V3 (ASTER global DEM), User Guide Version 1, Japan’s Ministry of Economy, Trade and Industry (METI). National Aeronautics and Space Administration (NASA), Jet Propulsion Laboratory/California Institute of Technology.
ASTER GDEM Validation Team. (2009). ASTER global DEM validation, summary report. METI/ERSDAC, NASA/LPDAAC, USGS/EROS.
Lee, C., Oh, J., Hong, C., & Youn, J. (2014). Automated generation of a digital elevation model over steep terrain in Antarctica from high-resolution satellite imagery. IEEE Transactions on Geoscience and Remote Sensing, 53(3), 1186–1194.
Porter, C., Morin, P., Howat, I., Noh, M.-J., Bates, B., Peterman, K., Keesey, S., Schlenk, M., Gardiner, J., Tomko, K., Willis, M., Kelleher, C., Clouties, M., Husby, E., Foga, S., Nakamura, H., Platson, M., Wethington, M. Jr., Williamson, C., Bauer, G., Enos, J., Galen, K., Kramer, W., Becker, P., Doshi, A., D’Souza, C., Cummens, P., Laurier, F. & Bojesen, M. (2018). ArcticDEM, Harvard Dataverse, V1, https://doi.org/10.7910/DVN/OHHUKH, [accessed 15 Feb 2021]
ETOPO1
Amante, C., & Eakins, B. W. (2009). ETOPO1 1 arc-minute global relief model: Procedures, data sources and analysis, NOAA Technical Memorandum NESDIS NGDC-24. National Geophysical Data Center, Marine Geology and Geophysics Division.
GLOBE
Hastings, D. A., & Dunbar, P. K. (1999). Global land one-kilometer base elevation (GLOBE) digital elevation model, documentation, Volume 1.0 (Key to geophysical records documentation (KGRD) 34). National Oceanic and Atmospheric Administration, National Geophysical Data Center.
LiDAR DEM
Bartolini, L., Bordone, A., Fantoni, R., Ferri de Collibus, M., Fornetti, G., Moriconi, C., & Poggi, C. (2000). Development of laser range finder for the Antarctic Plateau. In Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16–17, 2000 (pp. 148–156).
Harsdorf, S., Tönebön, S., Reuter, R., & Wachowicz, B. (2000). Submersible Lidar for seafloor inspection. In Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16–17, 2000.
Heidemann, H. K. (2018). Lidar base specification, Chapter 4 of Section B, U.S. Geological Survey Standards Book 11, Collection and Delineation of Spatial Data, Version 1.3.
Maslov, D. V., Fadeev, V. V., & Lyashenko, A. I. (2000). A shore-based Lidar for coastal seawater monitoring. In Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16–17, 2000 (pp. 46–52).
NOAA. (2012). Lidar 101: An introduction to Lidar technology, data and applications, revised. National Oceanic and Atmospheric Administration (NOAA), Coastal Service Center.
Wozencraft, J. M., & Irish, J. (2000). Airborne Lidar surveys and regional sediment management. In Proceedings of EARSeL-SIG-Workshop LIDAR, Dresden/FRG, June 16–17, 2000 (pp. 28–38).
Radar-Based Bathymetry
Sandwell, D. T., & Smith, W. H. (2009). Global marine gravity from retracked Geosat and ERS-1 altimetry: Ridge segmentation versus spreading rate. Journal of Geophysical Research, 114(B01411), 1–18. https://doi.org/10.1029/2008JB006008
SRTM DEM
Berry, P. A. M., Garlick, J. D., & Smith, R. G. (2007). Near-global validation of the SRTM DEM using satellite radar altimetry. Remote Sensing of Environment, 106(1), 17–27. https://doi.org/10.1016/j.rse.2006.07.011
Farr, T. G., Rosen, P. A., Care, E., Crippen, R., Duren, R., Hensley, S., Kobrick, M., Paller, M., Rodriguez, E., Roth, L., Seal, D., Shaffer, S., Shimada, J., Umland, J., Werner, M., Oskin, M., Burbank, D., & Alsdorf, D. (2007). The Shuttle Radar Topography Mission. Reviews of Geophysics, 45(2), RG2004. https://doi.org/10.1029/2005RG000183
Lu, K.-Y., & Kiang, J.-F. (2013). Terrain height estimation using a stereo-SAR technique aided by a reference point. Progress in Electomagnetics Research M, 31, 1–11.
NASA. (2000). Shuttle Radar Tomography Mission, first shuttle flight of the new millennium. Shuttle Press Kit, NASA.
Smith, B., & Sandwell, D. (2003). Accuracy and resolution of shuttle radar topography mission. Geophysical Research Letters, 30(9), 20.1–20.4.
Stereo Image-Based DEM
Raggam, H. (2006). Surface mapping using image triplets: Case studies and benefit assessment in comparison to stereo image processing. Photogrammetric Engineering and Remote Sensing, 72(5), 551–563.
TerrainBase
Row, L. W., Hastings, D. A., & Dunbar, P. K. (1995). TerrainBase worldwide digital terrain data—Documentation manual, CD-ROM Release 1.0. NOAA National Geophysical Data Center.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2022 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Laake, A. (2022). Digital Relief Models. In: Remote Sensing for Hydrocarbon Exploration. Springer Remote Sensing/Photogrammetry. Springer, Cham. https://doi.org/10.1007/978-3-030-73319-3_4
Download citation
DOI: https://doi.org/10.1007/978-3-030-73319-3_4
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-73318-6
Online ISBN: 978-3-030-73319-3
eBook Packages: Earth and Environmental ScienceEarth and Environmental Science (R0)