Comparison and validation of SRTM and ASTER GDEM for a subtropical landscape in Southeastern China

Jing, Changfeng; Shortridge, Ashton; Lin, Shengpan; Wu, Jiaping

doi:10.1080/17538947.2013.807307

Cited by 65 publications

(40 citation statements)

References 32 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The DEM is publicly released by the Japanese Ministry of Economy, Trade, and Industry and the American National Aeronautics and Space Administration (NASA), and is the only elevation images data set with high resolution covering the global land surface. Its ground resolution is 30 m with average accuracy of 20 m. 15,16 …”

Section: Aster Gdem V2 Demmentioning

confidence: 99%

Effect of external digital elevation model on monitoring of mine subsidence by two-pass differential interferometric synthetic aperture radar

Qing

Gao

Liu

et al. 2017

J. Appl. Remote Sens

View full text Add to dashboard Cite

"Effect of external digital elevation model on monitoring of mine subsidence by two-pass differential interferometric synthetic aperture radar," J. Appl. Remote Sens. 11(2), 026037 (2017), doi: 10.1117/1.JRS.11.026037. Abstract. The external digital elevation model (DEM) error is one of the main factors that affect the accuracy of mine subsidence monitored by two-pass differential interferometric synthetic aperture radar (DInSAR), which has been widely used in monitoring mining-induced subsidence. The theoretical relationship between external DEM error and monitored deformation error is derived based on the principles of interferometric synthetic aperture radar (DInSAR) and two-pass DInSAR. Taking the Dongtan and Yangcun mine areas of Jining as test areas, the difference and accuracy of 1:50000, ASTER GDEM V2, and SRTM DEMs are compared and analyzed. Two interferometric pairs of Advanced Land Observing Satellite Phased Array L-band SAR covering the test areas are processed using two-pass DInSAR with three external DEMs to compare and analyze the effect of three external DEMs on monitored mine subsidence in highand low-coherence subsidence regions. Moreover, the reliability and accuracy of the three DInSAR-monitored results are compared and verified with leveling-measured subsidence values. Results show that the effect of external DEM on mine subsidence monitored by two-pass DInSAR is not only related to radar look angle, perpendicular baseline, slant range, and external DEM error, but also to the ground resolution of DEM, the magnitude of subsidence, and the coherence of test areas.

show abstract

Section: Aster Gdem V2 Demmentioning

confidence: 99%

Effect of external digital elevation model on monitoring of mine subsidence by two-pass differential interferometric synthetic aperture radar

Qing

Gao

Liu

et al. 2017

J. Appl. Remote Sens

View full text Add to dashboard Cite

show abstract

“…Height points of RBI map were manually digitized (Jing et al, 2014;Sertel, 2010;Zhao et al, 2011). These points were taken from two different areas: northern and southern part of study area.…”

Section: Dem Generationmentioning

confidence: 99%

“…Feature topo to raster was used based on ANUDEM v.5.3 in ArcGIS v.10.3. ANUDEM is implementation of Topo grid from ArcInfo workstation 7.x and denotes DEM surface generation tool which is able to process large quantities data (Jing et al, 2014). DEM was generated resulting in a resolution of 30 meters.…”

Section: Dem Generationmentioning

confidence: 99%

See 1 more Smart Citation

Vertical Accuracy Assessment for SRTM V.4 and Aster Global Digital Elevation Models V.2: A Case Study of Padang Regency, West Sumatera

Sahid¹,

Arifati²,

Nurrohman³

et al. 2018

SNG

View full text Add to dashboard Cite

<p>Digital elevation model (DEM) is an important element used to represent surface of The Earth. Generally, DEM has been utilized in many geographic science, for instance cartography, hydrology, geology, and remote sensing. It has been widely used since the advanced of technology in remote sensing. This research concerned to assess the vertical accuracy of SRTM v.4 and ASTER GDEM v.2. Topographic or also known as RBI map of Padang City, West Sumatera which has scale 1:10.000 was used as a reference map. RBI has 2.5 m vertical accuracy and 0.5 mm horizontal accuracy. Moreover, to gain the bias value, root mean square errors (RMSE) assessment was used to calculate the different value between them. Point height would be obtained through sampling method based on the distribution of land-use, slope, and relief. Land-use was classified digitally using maximum likelihood method from SPOT 6 imagery, slope and relief that were derived based on the reference map. Vertical accuracy assessment for both DEM was necessary in order to know the bias elevation prior to using them in a research or project. Assessment of DEM vertical accuracy also could help to generate contour in global region which should be used after the bias vertical was applied.</p>Keywords: SRTM v.2, ASTER GDEM v.2, DEM Generation, Accuracy Assessment, RBI Map

show abstract

“…A number of studies (Hirt et al, 2010;Jing et al, 2013;Rexer and Hirt, 2014;Jarihani et al, 2015) have compared the SRTM and ASTER DEMs across a range of locations globally to assess their applicability to hydraulic models (e.g., Sanders, 2007), and despite its lower nominal resolution it is SRTM-particularly the void-filled CGIAR-CSI version 4 variant -that has emerged as the favored choice. This is due to SRTM's greater feature resolution, reduced number of artifacts and lower noise than ASTER, particularly in the flatter areas of concern to flood modelers (Jing et al, 2013;Rexer and Hirt, 2014). The prohibitive cost and restricted rights associated with commercial DEMs (such as the Intermap Nextmap R World 10 ™ and World 30 ™ , and Airbus WorldDEM ™ , data sets) restricts significantly the application of such products.…”

mentioning

confidence: 99%

Perspectives on Open Access High Resolution Digital Elevation Models to Produce Global Flood Hazard Layers

et al. 2016

View full text Add to dashboard Cite

Global flood hazard models have recently become a reality thanks to the release of open access global digital elevation models, the development of simplified and highly efficient flow algorithms, and the steady increase in computational power. In this commentary we argue that although the availability of open access global terrain data has been critical in enabling the development of such models, the relatively poor resolution and precision of these data now limit significantly our ability to estimate flood inundation and risk for the majority of the planet's surface. The difficulty of deriving an accurate "bare-earth" terrain model due to the interaction of vegetation and urban structures with the satellite-based remote sensors means that global terrain data are often poorest in the areas where people, property (and thus vulnerability) are most concentrated. Furthermore, the current generation of open access global terrain models are over a decade old and many large floodplains, particularly those in developing countries, have undergone significant change in this time. There is therefore a pressing need for a new generation of high resolution and high vertical precision open access global digital elevation models to allow significantly improved global flood hazard models to be developed.Keywords: global flood modeling, DEM, Hydraulic modeling, remote sensing of environment, hazard modeling Around the turn of the millennium, high quality two dimensional hydraulic models capable of simulating the dynamics of flood inundation became a reality at the reach scale as a result of faster computers, improved algorithms (Bates and De Roo, 2000;Bradford and Sanders, 2002;Bradbrook et al., 2004), and new forms of rapidly-collected remotely sensed digital elevation models (DEMs; Marks and Bates, 2000;Cobby et al., 2001;Bates et al., 2003;Bates, 2004;Sanders, 2007). Of particular value to hydraulic modelers in developed countries was the commencement of routine LIDAR collection due to its high horizontal and vertical precision and accuracy, its ability to penetrate vegetation cover and its reduced susceptibility to scatter and shadowing relative to other forms of remotely sensed elevation data such as Interferometric Synthetic Aperture Radar (InSAR;Bates, 2004). These three key properties made it ideally suited to the creation of "bare-earth" Digital Terrain Models (DTMs), a type of DEM in which surface features such as vegetation and built structures are removed to leave, as the name suggests, a three dimensional representation of the bare-earth surface. Such data are ideally suited for the purposes of flood hazard simulation using hydraulic models, and form the basic datasets from which developed world flood hazard layers, such as the Federal Emergency Management Agency (FEMA) flood maps in the USA, and the Environment Agency Flood Maps in the UK, are produced.

show abstract

Comparison and validation of SRTM and ASTER GDEM for a subtropical landscape in Southeastern China

Cited by 65 publications

References 32 publications

Effect of external digital elevation model on monitoring of mine subsidence by two-pass differential interferometric synthetic aperture radar

Effect of external digital elevation model on monitoring of mine subsidence by two-pass differential interferometric synthetic aperture radar

Vertical Accuracy Assessment for SRTM V.4 and Aster Global Digital Elevation Models V.2: A Case Study of Padang Regency, West Sumatera

Perspectives on Open Access High Resolution Digital Elevation Models to Produce Global Flood Hazard Layers

Contact Info

Product

Resources

About