Open Access

Effects of DEM Generating Algorithms on Water Retention Calculations in Polders – A Case Study


Cite

Atun, P.V., 2013. The Egyptian Journal of Remote Sensing and Space Science. The Egyptian Journal of Remote Sensing and Space Science, Volume 16, Issue 2, pp. 133-139, https://doi.org/10.1016/j.ejrs.2013.09.00110.1016/j.ejrs.2013.09.001Open DOISearch in Google Scholar

Dumitru, P.D., Plopeanu, M., Badea, D., 2013. Comparative study regarding the methods of interpolation. Recent Advances in Geodesy and Geomatics Engineering., pp. 45-52, ISBN: 978-960-474-335-3Search in Google Scholar

Fernandez, A., Adamowski, J., Petroselli, A., 2016. Analysis of the behavior of three digital elevation model correction methods on critical natural scenarios. Journal of Hydrology: Regional Studies, Volume 8, pp. 304-315, https://doi.org/10.1016/j.ejrh.2016.09.00910.1016/j.ejrh.2016.09.009Search in Google Scholar

Gillin, C.P., Bailey, S.W., McGuire, K.J., Prisleyt, S.P., 2015. Evaluation of Lidar-derived DEMs through Terrain Analysis and Field Comparison. Photogrammetric Engineering & Remote Sensing, Volume 81, Issue 5, pp. 387-396, https://doi.org/10.14358/PERS.81.5.38710.14358/PERS.81.5.387Open DOISearch in Google Scholar

Jobin, T., Sabu, J., Thrivikramjic, K.P., Arunkumard, K.S., 2014. Sensitivity of digital elevation models: The scenario from two tropical mountain river basins of the Western Ghats, India. Geoscience Frontiers, Volume 5, Issue 6, pp. 893-909, https://doi.org/10.1016/j.gsf.2013.12.00810.1016/j.gsf.2013.12.008Open DOISearch in Google Scholar

Litwin, U., Pijanowski, J. M., Szeptalin, A., Zygmunt, M., 2013. Application of Surfer software in densification of digital terrain model (DTM) grid with the use of scattered points. Geomatics, Landmanagement and Landscape No. 1, pp. 51–61, http://dx.doi.org/10.15576/gLL/2013.1.5110.15576/GLL/2013.1.51Open DOISearch in Google Scholar

Oksanen, J., 2006. Digital Elevation Model Error in Terrain Analysis. Academic Dissertation in Geography, Publications of the Finnish Geodetic Institute, Helsinki University Press, ISBN-13: 978-952-10-3350-6Search in Google Scholar

Patel, A., Katiyar, S.K., Prasad, V., 2016. Performances evaluation of different open source DEM using Differential Global Positioning System (DGPS). The Egyptian Journal of Remote Sensing and Space Science, Volume 19, Issue 1, pp. 7-16, https://doi.org/10.1016/j.ejrs.2015.12.00410.1016/j.ejrs.2015.12.004Open DOISearch in Google Scholar

Suba, N.Sz., Suba, Șt., 2015. Mapping data – Quality, quantity or both? Journal of Applied Engineering Sciences, vol. 5(18), issue 1/2015, pp. 101-108, https://doi.org/10.1515/jaes-2015-001310.1515/jaes-2015-0013Open DOISearch in Google Scholar

Thomas, I.A., Jordan, P., Shine, O., Fenton, O., Mellander, P.-E., Dunlop, P., Murphy, P.N.C., 2017. Defining optimal DEM resolutions and point densities for modelling hydrologically sensitive areas in agricultural catchments dominated by microtopography. International Journal of Applied Earth Observation and Geoinformation, Volume 54, pp. 38-52, https://doi.org/10.1016/j.jag.2016.08.01210.1016/j.jag.2016.08.012Open DOISearch in Google Scholar

Wise, S.M., 2007. Effect of differing DEM creation methods on the results from a hydrological model. Computers & Geosciences, Volume 33, Issue 10, pp. 1351-1365, https://doi.org/10.1016/j.cageo.2007.05.00310.1016/j.cageo.2007.05.003Search in Google Scholar

Yang. C-s., Kao, Sz-p., Lee, F-b., Hung, P-s., 2004. Twelve different interpolation methods: A case study of Surfer 8.0. Proceedings of the XXth ISPRS Congress, Istanbul, pp. 778-785, ISSN: 1682-1750Search in Google Scholar

eISSN:
2284-7197
ISSN:
2247-3769
Language:
English
Publication timeframe:
2 times per year
Journal Subjects:
Engineering, Introductions and Overviews, other, Electrical Engineering, Energy Engineering, Geosciences, Geodesy