ASTER GDEM Validation Team (2012) ASTER Global DEM Validation Summary Report. http://www.ersdac.or.jp. Accessed on 19 Oct 2012
Carabajal CC, Harding DJ, Jean-Paul B, Danielson JJ, Gesch DB, Suchdeo VP (2011) Evaluation of the global multi-resolution terrain elevation data 2010 (GMTED2010) using ICESat geodetic control. In: Proceedings of SPIE-the international society for optical engineering, Nanjing, China
Chintalapudi S, Sharif HO, Xie H (2014) Sensitivity of distributed hydrologic simulation to ground and satellite based rainfall products. Water 6(5):1221–1245
Article
Google Scholar
Chow VT, David RM, Larry WM (1988) Applied hydrology, 6th edn. McGraw Hill International Editions, New York
Google Scholar
Danielson JJ, Gesch DB (2011) Global multi-resolution terrain elevation data 2010 (GMTED2010), U.S. Geological Survey Open-File Report, U.S. Geological Survey: Sioux Falls
Fisher PF, Tate NJ (2006) Causes and consequences of error in digital elevation models. Prog Phys Geogr 30:467–489
Article
Google Scholar
Forkuor G, Maathuis B (2012) Comparison of SRTM and ASTER derived digital elevation models over two regions in Ghana implications for hydrological and environmental modeling. In: Piacentini T (ed) Studies on environmental and applied geomorphology. InTech, Rijeka, pp 219–240
Google Scholar
Gamba P, Dell’Acqua F, Houshmand B (2002) SRTM data characterization in urban areas. In: XXXIV ISPRS Proceeding, September 9-13, 2002. Graz, Austria
Gonga-Saholiariliva N, Gunnell Y, Petit C, Mering C (2011) Techniques for quantifying the accuracy of gridded elevation models and for mapping uncertainty in digital terrain analysis. Prog Phys Geogr 35:739–764
Article
Google Scholar
Guth PL (2006) Geomorphometry from SRTM-comparison to NED. Photogramm Eng Remote Sens 72(3):269–277
Article
Google Scholar
Haile AT, Rientjes THM (2005) Effects of LIDAR DM resolution in flood modelling: a model sensitivity study for the city of Tegucigalpa, Honduras. In: ISPRS Proceeding, September 12–14, 2005, Enschede, the Netherlands
Hebeler F, Purves RS (2009) The inuence of elevation uncertainty on derivation of topographic indices. Geomorphology 111:4–16
Article
Google Scholar
Jarvis A, Rubiano J, Nelson A, Farrow A, Mulligan M (2004) Practical use of SRTM data in the tropics: comparisons with digital elevation models generated from cartographic data. International Centre for Tropical, Agriculture (CIAT), Cali, p 32
Jarvis A, Reuter HI, Nelson A, Guevara E (2012) Hole-filled SRTM for the globe version 4. CGIAR-CSI SRTM 90 m database 2008. http://srtm.csi.cgiar.org. Accessed 1 July 2012
Kolecka N, Kozak J (2013) Assessment of the accuracy of SRTM C- and X-Band high mountain elevation data: a case study of the Polish Tatra Mountains, Pure Appl. Geophysics 171:897–912
Google Scholar
Lehner B (2013) Quality assessment In HydroSHEDS technical documentation, 1st edn. World Wildlife Fund US, Washington DC, p 1314
Google Scholar
Li J, Chapman MA, Sun X (2006) Validation of satellite-derived digital elevation model from in-track IKONOS stereo imagery. Ontario Ministry of Transportation, Toronto
Google Scholar
Nawaratha NB, Ao T, Kazama S, Sawamoto M, Takeuchi K (2000) Influence of human activities on the BTOPMC runoff simulations in large-scale. In: XXIX IAHR congress proceeding, theme a, pp 93–99
Nikolakopoulos KG, Kamaratakis EK, Chrysoulakis N (2006) SRTM vs. ASTER elevation products comparison for two regions in Crete, Greece. Int J Remote Sens 27:4819–4838
Article
Google Scholar
Pakoksung K, Takagi M (2015a) Remote sensing data application for flood modeling. JAST 26:115–122
Google Scholar
Pakoksung K, Takagi M (2015b) Digital elevation models on accuracy validation and bias correction in vertical. Model Earth Syst Environ 2(11):1–13
Google Scholar
Pakoksung K, Takagi M (2016) Effect of satellite based rainfall products on river basin responses of runoff simulation on flood event. Model Earth Syst Environ 2(143):1–14. https://doi.org/10.1007/s40808-016-0200-0
Article
Google Scholar
Sayama T, Fukami K, Tanaka S, Takeuchi K (2010) Rainfall-runoff-inundation analysis for flood risk assessment at the regional scale. In: Proceeding of the fifth conference of asia pacific association of hydrology and water resources (APHW), pp 568–576
Sayama T, Ozawa G, Kawakami K, Nabesaka S, Fukami K (2012) Rainfall-runoff-inundation analysis of Pakistan flood 2010 at the Kabul River Basin. Hydrol Sci J Hydrol Sci J 57(2):298–312
Article
Google Scholar
Sayama T, Tatebe Y, Iwami Y, Tanaka S (2015) Hydrologic sensitivity of flood runoff and inundation: 2011 Thailand floods in the Chao Phraya River basin. Nat Hazards Earth Syst Sci 15:1617–1630
Article
Google Scholar
Shen D, Wang J, Cheng X, Ryi Y, Ye S (2015) Integration of 2-D hydraulic model and high-resolution lidar-derived DEM for floodplain flow modeling. Hydrol Earth Syst Sci 19:3605–3616. https://doi.org/10.5194/hess-19-3605-2015
Article
Google Scholar
Sriariyawat A, Pakoksung P, Sayama T, Koomtanakulvong S (2013) Approach to estimate the flood damage in Sukhothai province using flood simulation. J Disaster Res 8(3):406–414
Article
Google Scholar
USGS GTOPO30 (2008). http://lta.cr.usgs.gov/GTOPO30. Accessed Jan 2015
USGS Data sources of HydroSHEDS (2008). http://hydrodheds.cr.usgs.gov/datasource. Accessed 31 Jan 2008
Van de Sande B, Lansen J, Hoyng C (2012) Sensitivity of coastal flood risk assessments to digital elevation models. Water 4:568–579. https://doi.org/10.3390/w4030568
Article
Google Scholar