Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Published in:
Basics of Remote Sensing Read chapter Read first chapter

2022 | OriginalPaper | Chapter

4. Digital Relief Models

Author : Andreas Laake

Published in: Remote Sensing for Hydrocarbon Exploration

Publisher: Springer International Publishing

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

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.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
previous chapter Foundations of Multi-Band Processing of Satellite Images
next chapter Primary Applications for Geosciences
Literature
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.
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.CrossRef
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]
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.
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.
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).
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/​2005RG000183CrossRef
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.CrossRef
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.CrossRef
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.CrossRef
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.
Metadata
Title
Digital Relief Models
Author
Andreas Laake
Copyright Year
2022
Book
Remote Sensing for Hydrocarbon Exploration

Print ISBN: 978-3-030-73318-6

Electronic ISBN: 978-3-030-73319-3

Copyright Year: 2022

DOI
https://doi.org/10.1007/978-3-030-73319-3_4

Premium Partner

    Image Credits