Comparison of digital elevation models over Australia and external validation using ERS‐1 satellite radar altimetry

Hilton, Richard D.; Featherstone, Will; Berry, P. A. M.; Johnson, C. P. D.; Kirby, Jonathan

doi:10.1046/j.1440-0952.2003.00982.x

Cited by 35 publications

(30 citation statements)

References 25 publications

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“…According to official specifications (Rabus et al 2003;Farr et al 2007), vertical accuracy of SRTM GDEM is better than 16 m RMSE. Many other studies and validations of SRTM GDEM have been published (Hilton et al 2003;Smith and Sandwell 2003;Rodriguez et al 2005;Kiamehr and Sjöberg 2005;Denker 2005;Carabajal and Harding 2006;Gorokhovich and Voustianiouk 2006;Nikolakopoulos, Kamaratakis, and Chrysoulakis 2006;Rodríguez, Morris, and Belz 2006;Bhang, Schwartz, and Braun 2007;Passini and Jacobsen 2007;Racoviteanu et al 2007;Zieliński and Chmiel 2007;Hayakawa, Oguchi, and Lin 2008;Fujita et al 2008;Huggel et al 2008;Hirt, Filmer, and Featherstone 2010;Mouratidis, Briole, and Katsambalos 2010;Forkuor and Maathuis 2012;Gómez et al 2012;Li et al 2012;Rao and Al Jassar 2012;Wang, Yang, and Yao 2012;Amans, Beiping, and Ziggah 2013;Kolecka and Kozak 2014;Li et al 2013;Mukherjee et al 2013;Rawat et al 2013;Athmania and Achour 2014;Becek 2014;Rexer and Hirt 2014;Thomas et al 2014). Most authors found that the vertical accuracy of SRTM GDEM is better than the declared (Tachikawa, Kaku, and Iwasaki 2011), but there have been many other authors who investigated ASTER GDEM accuracy (Hirano, Welch, and Lang 2003;Fujisada et al 2005;…”

Section: Background and Methodsmentioning

confidence: 99%

Accuracy validation and comparison of global digital elevation models over Croatia

Varga

Bašić

2015

International Journal of Remote Sensing

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Accuracy assessment of digital elevation models (DEMs) plays an important role in facing their use in geoscience applications. This study investigates the vertical accuracy of most recently published versions of global DEMs over Croatia: 1 arc-minute global relief model (ETOPO1), Global 30 Arc-Second Elevation (GTOPO30), SRTM30+, Global Multi-resolution Terrain Elevation Data 2010 (GMTED2010), Altimeter Corrected Elevations 2 DEM (ACE2 DEM), Shuttle Radar Topography Mission GDEM (SRTM GDEM), and Advanced Spaceborne Thermal Emission and Reflection GDEM (ASTER GDEM). Geodetic ground control points (benchmarks) allowed the comparison in terms of vertical accuracy. Additionally, the differences between models in the identical points were determined and analysed after adjusting the models to the same resolution. The results have yielded information about the overall accuracy of models; the accuracy depending on height, land cover, and slope; presence of large and systematic errors; and mutual agreement between the models.Overall vertical accuracies according to the root mean square error over Croatia are: ETOPO1 27.6 m, GTOPO30 21.6 m, SRTM30+ 21.3 m, GMTED2010 7.4 m, ACE2 DEM 4.5 m, SRTM GDEM 3.8 m, and ASTER GDEM 7.1 m. The highest accuracy was shown by SRTM GDEM version 3, which is far better than the previously released versions. All models have proved to be worse in the rough and forest areas, whereas in flat and barelands, new-generation global DEMs SRTM GDEM, and ASTER GDEM are highly accurate. IntroductionIn the past decade, global digital elevation models (global DEMs) have become invaluable sources of information in geosciences (e.g. Raaflaub and Collins 2006;Toutin 2008). Global DEMs have been significantly improved in comparison with those first released in the mid1990s, Global 30 Arc-Second Elevation (GTOPO30) and 1 arc-minute global relief model (ETOPO1), with the new-generation model releases, the Shuttle Radar Topography Mission GDEM (SRTM GDEM) in 2007, with a resolution of 3 arc seconds, and the Advanced Spaceborne Thermal Emission and Reflection GDEM (ASTER GDEM) in 2009, with a resolution of 1 arc second. As all models deviate from reality, global DEMs are usually used without an estimation of their accuracy and reliability and without considering errors that can affect results (Wechsler 2003). The goals of this work were to quantify and compare vertical accuracy, assess dependence between vertical accuracy and topographic characteristics (land cover and slope), and assess the differences between all global DEMs that were published from the mid-90s over Croatia. Testing of global DEMs was done for most recent versions of

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Section: Background and Methodsmentioning

confidence: 99%

Accuracy validation and comparison of global digital elevation models over Croatia

Varga

Bašić

2015

International Journal of Remote Sensing

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“…However, the GLOBE data set is found to have substantial deficiencies over Australia, and so instead the Geoscience Australia high-quality data set (Hilton et al 2003) is used over Australia for all applications of ACCESS. This change makes some difference even at the N96 resolution (e.g.…”

Section: Resolution Dynamics and Orographymentioning

confidence: 99%

The ACCESS coupled model: description, control climate and evaluation

Bi¹,

Dix²,

Marsland³

et al. 2013

432

273

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The Australian Community Climate and Earth System Simulator coupled model (ACCESS-CM) has been developed at the Centre for Australian Weather and Climate Research (CAWCR), a partnership between CSIRO 1 and the Bureau of Meteorology. It is built by coupling the UK Met Office atmospheric unified model (UM), and other sub-models as required, to the ACCESS ocean model, which consists of the NOAA/GFDL 2 ocean model MOM4p1 and the LANL 3 sea-ice model CICE4.1, under the CERFACS 4 OASIS3.2-5 coupling framework. The primary goal of the ACCESS-CM development is to provide the Australian climate community with a new generation fully coupled climate model for climate research, and to participate in phase five of the Coupled Model Inter-comparison Project (CMIP5). This paper describes the ACCESS-CM framework and components, and presents the control climates from two versions of the ACCESS-CM, ACCESS1.0 and AC-CESS1.3, together with some fields from the 20 th century historical experiments, as part of model evaluation. While sharing the same ocean sea-ice model (except different setups for a few parameters), ACCESS1.0 and ACCESS1.3 differ from each other in their atmospheric and land surface components: the former is configured with the UK Met Office HadGEM2 (r1.1) atmospheric physics and the Met Office Surface Exchange Scheme land surface model version 2, and the latter with atmospheric physics similar to the UK Met Office Global Atmosphere 1.0 including modifications performed at CAWCR and the CSIRO Community Atmosphere Biosphere Land Exchange land surface model version 1.8. The global average annual mean surface air temperature across the 500-year preindustrial control integrations show a warming drift of 0.35 °C in ACCESS1.0 and 0.04 °C in AC-CESS1.3. The overall skills of ACCESS-CM in simulating a set of key climatic fields both globally and over Australia significantly surpass those from the preceding CSIRO Mk3.5 model delivered to the previous coupled model inter-comparison. However, ACCESS-CM, like other CMIP5 models, has deficiencies in various aspects, and these are also discussed.

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“…While previous applications of radar altimetry over land surfaces were limited to the generation of height information or quality assessment of global or regional DEMs (Hilton et al, 2003;Berry et al, 2007), our purpose is to map the temporal change of the land surface, in this case, the vertical crustal motion. Therefore, we have to correct another critical error due to the deviation of the actual ground track from the nominal ground track, the socalled surface gradient error.…”

Section: Application Of Radar Altimetry For Land Deformationmentioning

confidence: 99%

“…Over land surfaces, satellite radar altimetry has also been used to correct/validate Digital Elevation Models (DEMs) (Hilton et al, 2003;Berry et al, 2007). Whereas these land altimetry studies focus on static height determination, the potential use of satellite radar altimetry for detecting solid Earth crustal motion over moderately flat land surfaces around Hudson Bay has been first demonstrated by Lee et al (2008).…”

Section: Introductionmentioning

confidence: 99%

Laurentia crustal motion observed using TOPEX/POSEIDON radar altimetry over land

Lee

Shum

et al. 2008

Journal of Geodynamics

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Comparison of digital elevation models over Australia and external validation using ERS‐1 satellite radar altimetry

Cited by 35 publications

References 25 publications

Accuracy validation and comparison of global digital elevation models over Croatia

Accuracy validation and comparison of global digital elevation models over Croatia

The ACCESS coupled model: description, control climate and evaluation

Laurentia crustal motion observed using TOPEX/POSEIDON radar altimetry over land

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