Abstract
In flood modelling process, Digital Elevation Models (DEMs) is a valuable tool in topographic parameterization of hydrological models. The release of the free-of-charge satellite based DEMs such as SRTM and ASTER prompted the accurate flood modelling process especially to propose flood mitigation in the Perlis region. In this research, the accuracy of SRTM DEM of spatial resolution 1 arc-sec and 3 arc-sec, as well as ASTER DEM are evaluated. The reference levels produced from GNSS observation and Earth Gravitational Model 1996 (EGM96), as well as local mean sea level are used to analyse the vertical accuracy of each GDEMs in Perlis, Malaysia. The total of 38 Benchmark (BM) and Standard Benchmark (SBM) around the Perlis region were observed by GNSS using static method and processed using TOPCON Tool software. A comparison with the local mean sea level height indicated that SRTM 1″ is the much greater absolute vertical accuracy with an RMSE of ±3.752 m and continued by SRTM 3″ and ASTER GDEMs where the obtained accuracy was ±4.100 and ±5.647 m, respectively. Also, by using orthometric height form the GNSS and EGM96 as reference elevation, the obtained accuracy was ±3.220, ±3.597, and ±5.832 m for SRTM 1″, SRTM 3″ and ASTER, respectively. Statistical results have also shown that SRTM 1″ has a good correlation with Hmsl and HGNSS where both correlations values are 0.9925, while the SRTM 3″ and ASTER show the correlation of 0.9873 and 0.9375.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Sarhadi, S., Soltani, S., Modarres, R.: Probabilistic flood inundation mapping of ungauged rivers: linking GIS techniques and frequency analysis. J. Hydrol. 458(459), 68–86 (2012)
Garg P. K.: The role of satellite derived data for flood inundation mapping using gis. ISPRS—Int. Arch. Photogram. Remote Sens. Spat. Inf. Sci. XL-3/W3, 235–239 (2015)
Guth, P.: Geomorphometry from SRTM: Comparison to NED. Photogram. Eng. Remote Sens. 72, 269–277 (2006)
Holmes, K.W., Chadwick, O.A., Kyriankidis, P.C.: Error in USGS 30-meter digital elevation model and its impact on terrain modelling. J. Hydrol. 233, 154–173 (2000)
Kiamehr, R., Sjöberg, L.E.: The qualities of Iranian gravimetric geoid models versus recent gravity field missions. Stud. Geophys. Geod. 49, 289–304 (2005)
Gorokhovich, Y., Voustianiouk, A.: Accuracy assessment of the processed SRTM-based elevation data by CGIAR using field data from USA and Thailand and its relation to the terrain characteristics. Remote Sens. Environ. 104(4), 409–415 (2006)
Rabus, B., Eineder, M., Roth, A., Bamler, R.: The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar. J. Photogramm. Remote Sens. 57, 241–262 (2003)
Smith, B., Sandwell, D.: Accuracy and resolution of shuttle radar topography mission data. Geophys. Res. Lett. 30(9), 1467 (2003)
Hirt, C., Filmer, M.S., Featherstone, W.E.: Comparison and validation of the recent freely available ASTER-GDEM ver1, SRTM Ver4.1 and GEODATA DEM-9 s Ver3 Digital Elevation Models over Australia. Aust. J. Earth Sci. 57, 337–347 (2010)
Acknowledgements
Thanks to the U.S. Department of the Interior U.S. Geological Survey for providing the GDEMs data for Perlis region. Also special thanks to the Department Survey and Mapping Malaysia (DSMM) for providing BM and SBM value in Perlis region.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pa’suya, M.F., Din, A.H.M., Amin, Z.M., Omar, K.M., Omar, A.H., Rusli@Ruslik, N. (2019). Evaluation of Global Digital Elevation Model for Flood Risk Management in Perlis. In: Pradhan, B. (eds) GCEC 2017. GCEC 2017. Lecture Notes in Civil Engineering , vol 9. Springer, Singapore. https://doi.org/10.1007/978-981-10-8016-6_70
Download citation
DOI: https://doi.org/10.1007/978-981-10-8016-6_70
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-10-8015-9
Online ISBN: 978-981-10-8016-6
eBook Packages: EngineeringEngineering (R0)