Validation of DEMs derived from radar interferometry, airborne laser scanning and photogrammetry by using GPS-RTK

Hsing Chung Chang*, Linlin Ge, Chris Rizos, Tony Milne

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

20 Citations (Scopus)

Abstract

A high resolution digital elevation model (DEM) enables easy derivation of subsequent information for various applications. This paper uses Real-Time Kinematic (RTK) GPS to examine the quality of some DEMs generated by such means as radar interferometry (InSAR), airborne laser scanning (ALS) and photogrammetry. The preliminary results show that a DEM generated from ALS has the highest accuracy with a RMS error of 0.09 - 0.3m. The RMS errors of DEMs derived by photogrammetric and radar interferometric techniques are 1.03 ∼ 3.75m and 4.26 - 27.81m respectively.

Original languageEnglish
Title of host publication2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages2815-2818
Number of pages4
Volume5
Publication statusPublished - 2004
Externally publishedYes
Event2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004 - Anchorage, AK, United States
Duration: 20 Sept 200424 Sept 2004

Other

Other2004 IEEE International Geoscience and Remote Sensing Symposium Proceedings: Science for Society: Exploring and Managing a Changing Planet. IGARSS 2004
Country/TerritoryUnited States
CityAnchorage, AK
Period20/09/0424/09/04

Keywords

  • Airborne Laser Scanning (ALS)
  • DEM
  • GPS-RTK
  • Interferometric Synthetic Aperture Radar (InSAR)
  • Photogrammetry

Fingerprint

Dive into the research topics of 'Validation of DEMs derived from radar interferometry, airborne laser scanning and photogrammetry by using GPS-RTK'. Together they form a unique fingerprint.

Cite this