Variable resolution topographic mapping of ancient fluvial landscapes in Australia

Oh Ig Kwoun, Melba M. Crawford, Victor Baker, Goro Komatsu

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Topographic features often exhibit great spatial variability over a region and can thereby be represented efficiently on variable resolution grids. Repeat pass INSAR from space-based sensors has relatively coarse spatial resolution but broad coverage and can be used effectively to develop regional digital elevation models (DEM's), while airborne TOPSAR provides superior spatial and vertical resolution but limited coverage. This study investigates the application of the Distributed Adaptive Grid Hierarchy (DAGH) data structure for developing an integrated, interferometry based DEM of the regional landscape of the Finke River in the Northern Territory of Australia using ERS and TOPSAR data.

Original languageEnglish (US)
Title of host publicationInternational Geoscience and Remote Sensing Symposium (IGARSS)
Editors Anon
PublisherIEEE
Pages2360-2362
Number of pages3
Volume5
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5) - Seattle, WA, USA
Duration: Jul 6 1998Jul 10 1998

Other

OtherProceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5)
CitySeattle, WA, USA
Period7/6/987/10/98

Fingerprint

topographic mapping
digital elevation model
interferometry
Interferometry
Data structures
spatial resolution
Rivers
sensor
Sensors
river
ERS

ASJC Scopus subject areas

  • Software
  • Geology

Cite this

Kwoun, O. I., Crawford, M. M., Baker, V., & Komatsu, G. (1998). Variable resolution topographic mapping of ancient fluvial landscapes in Australia. In Anon (Ed.), International Geoscience and Remote Sensing Symposium (IGARSS) (Vol. 5, pp. 2360-2362). IEEE.

Variable resolution topographic mapping of ancient fluvial landscapes in Australia. / Kwoun, Oh Ig; Crawford, Melba M.; Baker, Victor; Komatsu, Goro.

International Geoscience and Remote Sensing Symposium (IGARSS). ed. / Anon. Vol. 5 IEEE, 1998. p. 2360-2362.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Kwoun, OI, Crawford, MM, Baker, V & Komatsu, G 1998, Variable resolution topographic mapping of ancient fluvial landscapes in Australia. in Anon (ed.), International Geoscience and Remote Sensing Symposium (IGARSS). vol. 5, IEEE, pp. 2360-2362, Proceedings of the 1998 IEEE International Geoscience and Remote Sensing Symposium, IGARSS. Part 1 (of 5), Seattle, WA, USA, 7/6/98.
Kwoun OI, Crawford MM, Baker V, Komatsu G. Variable resolution topographic mapping of ancient fluvial landscapes in Australia. In Anon, editor, International Geoscience and Remote Sensing Symposium (IGARSS). Vol. 5. IEEE. 1998. p. 2360-2362
Kwoun, Oh Ig ; Crawford, Melba M. ; Baker, Victor ; Komatsu, Goro. / Variable resolution topographic mapping of ancient fluvial landscapes in Australia. International Geoscience and Remote Sensing Symposium (IGARSS). editor / Anon. Vol. 5 IEEE, 1998. pp. 2360-2362
@inproceedings{9960c8364a604b4092e12242f7095e5a,
title = "Variable resolution topographic mapping of ancient fluvial landscapes in Australia",
abstract = "Topographic features often exhibit great spatial variability over a region and can thereby be represented efficiently on variable resolution grids. Repeat pass INSAR from space-based sensors has relatively coarse spatial resolution but broad coverage and can be used effectively to develop regional digital elevation models (DEM's), while airborne TOPSAR provides superior spatial and vertical resolution but limited coverage. This study investigates the application of the Distributed Adaptive Grid Hierarchy (DAGH) data structure for developing an integrated, interferometry based DEM of the regional landscape of the Finke River in the Northern Territory of Australia using ERS and TOPSAR data.",
author = "Kwoun, {Oh Ig} and Crawford, {Melba M.} and Victor Baker and Goro Komatsu",
year = "1998",
language = "English (US)",
volume = "5",
pages = "2360--2362",
editor = "Anon",
booktitle = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "IEEE",

}

TY - GEN

T1 - Variable resolution topographic mapping of ancient fluvial landscapes in Australia

AU - Kwoun, Oh Ig

AU - Crawford, Melba M.

AU - Baker, Victor

AU - Komatsu, Goro

PY - 1998

Y1 - 1998

N2 - Topographic features often exhibit great spatial variability over a region and can thereby be represented efficiently on variable resolution grids. Repeat pass INSAR from space-based sensors has relatively coarse spatial resolution but broad coverage and can be used effectively to develop regional digital elevation models (DEM's), while airborne TOPSAR provides superior spatial and vertical resolution but limited coverage. This study investigates the application of the Distributed Adaptive Grid Hierarchy (DAGH) data structure for developing an integrated, interferometry based DEM of the regional landscape of the Finke River in the Northern Territory of Australia using ERS and TOPSAR data.

AB - Topographic features often exhibit great spatial variability over a region and can thereby be represented efficiently on variable resolution grids. Repeat pass INSAR from space-based sensors has relatively coarse spatial resolution but broad coverage and can be used effectively to develop regional digital elevation models (DEM's), while airborne TOPSAR provides superior spatial and vertical resolution but limited coverage. This study investigates the application of the Distributed Adaptive Grid Hierarchy (DAGH) data structure for developing an integrated, interferometry based DEM of the regional landscape of the Finke River in the Northern Territory of Australia using ERS and TOPSAR data.

UR - http://www.scopus.com/inward/record.url?scp=0031640192&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0031640192&partnerID=8YFLogxK

M3 - Conference contribution

VL - 5

SP - 2360

EP - 2362

BT - International Geoscience and Remote Sensing Symposium (IGARSS)

A2 - Anon, null

PB - IEEE

ER -