[ASTER GDEM Validation Team, 2009. ASTER Global DEM Validation (Summary Report). METI, NASA, USGS, Pasadena, California.]Search in Google Scholar
[Bossard, M., Feranec, J., Otahel, J., 2000. CORINE Land Cover Technical Guide - Addendum 2000. European Environment Agency, Copenhagen.]Search in Google Scholar
[Gray, Don M., 1961. Synthetic Unit Hydrographs for Small Watersheds. Proceedings of the American Society of Civil Engineers, HY., 33-54.10.1061/JYCEAJ.0000631]Search in Google Scholar
[Hutchinson, M.F., 1989. A new procedure for gridding evaluation and stream line data with automatic removal of spurious pits. Journal of Hydrology, 106, 3-4, 211-232.10.1016/0022-1694(89)90073-5]Search in Google Scholar
[Jovanović, S., 1989. Hydrology. Građevinski priručnik - tehničar 6, 11-181. IRO Građevinska knjiga, Beograd. (In Serbian.)]Search in Google Scholar
[Luchisheva, A.A., 1950. Practical Hydrology. Gidrometeoizdat, Leningrad. (In Russian.) Ludwig, R., Schneider, P., 2006. Validation of digital elevation models from SRTM X-SAR for applications in hydrologic modeling. Journal of Photogrammetry & Remote Sensing, 2006, 339-358.10.1016/j.isprsjprs.2006.05.003]Search in Google Scholar
[Mishra, S.K., Singh, V.P., 1999. Another look at SCS-CN method. Journal of Hydrologic Engineering, 3, 257-265.10.1061/(ASCE)1084-0699(1999)4:3(257)]Search in Google Scholar
[Mockus, V., 1949. Estimation of total (peak rates of) surface runoff for individual storms. Exhibit A of Appendix B, Interim Survey Report, Grand (Neosho) River Watershed. USDA, Washington, D.C.]Search in Google Scholar
[NRCS, 2002. National Engineering Handbook: Part 630 Hydrology. USDA, Washington, D.C.]Search in Google Scholar
[O’Callaghan, J.F., Mark, D.M., 1984. The extraction of drainage networks from digital elevation data. Computer Vision, Graphics, and Image Processing, 28, 3, 323-344.10.1016/S0734-189X(84)80011-0]Search in Google Scholar
[Ponce, V.M., Hawkins, R.H., 1996. Runoff curve number: Has it reached maturity? Journal of Hydrologic Engineering, 1, 1, 11-19.10.1061/(ASCE)1084-0699(1996)1:1(11)]Search in Google Scholar
[Reuter, H.I., Nelson, A., Jarvis, A., 2007. An evaluation of void filling interpolation methods for SRTM data. International Journal of Geographic Information Science, 21, 9, 983- -1008.10.1080/13658810601169899]Search in Google Scholar
[Rodriguez, E. et al., 2005. An assessment of the SRTM topographic products. (Technical Report JPL D-31639). Jet Propulsion Laboratory, Pasadena, California.]Search in Google Scholar
[Singh, V.P., 1996. Kinematic Wave Modeling in Water Resources: Surface Water Hydrology. John Wiley & Sons, Inc. Soil Conservation Service, 1985. National engineering handbook, Supplement A, Sect. 4, Chapter 10. US Department of Agriculture (USDA), Washington, D.C.]Search in Google Scholar
[Tarboton, D.G., 1997. A new method for the determination of flow directions and contributing areas in Grid Digital Elevation models. Water Resources Research, 33, 2, 309- -319.10.1029/96WR03137]Search in Google Scholar
[Travis, M.R., Iverson, W.D., Elsner, G.H. Johnson, C.G, 1975.]Search in Google Scholar
[VIEWIT: computation of seen areas, slope, and aspect for land use planning. General technical report, USDA Forest Service, Washington D.C.]Search in Google Scholar
[Wolf, M., Pfennig, B., Krause, P., Flügel, W.A., 2009. Delineation of topographic process entities using SRTM for hydrological modelling. Proceedings of the 18th World IMACS Congress and MODSIM09 International Congress on Modelling and Simulation in Cairns, Australia, 2021- -2027.]Search in Google Scholar
[Zavoianu, I., 1985. Morphometry of Drainage Basins. Elsevier.]Search in Google Scholar
[Zevenbergen, L.W., Thorne, C.R., 1987. Quantitative analysis of land surface topography. Earth Surface Processes and Landforms, 12, 47-56.10.1002/esp.3290120107]Search in Google Scholar