Suitability of spaceborne digital elevation models of different scales in topographic analysis: an example from Kerala, India
- 361 Downloads
- 10 Citations
Abstract
Digital elevation model (DEM), deriving conventionally from contour data of topographic maps, provides sufficient information regarding the continuously varying topographic surface of the Earth. Though spaceborne DEMs are increasingly being used in earth-environmental-applications, suitability of various freely available spaceborne DEMs [e.g., advanced spaceborne thermal emission and reflection (ASTER), shuttle radar topography mapping mission (SRTM), global multi-resolution terrain elevation data (GMTED)] for topographic and geomorphometric analyzes in tropical regions is yet to be ascertained. In this paper, comparability of these spaceborne DEMs among themselves and also with the DEM (TOPO) prepared from digital contour data of topographic maps is assessed. Results show that various primary and secondary derivatives of ASTER and SRTM DEMs provide relatively better precision and substantial agreement with the corresponding parameters derived from TOPO. Among the spaceborne DEMs, SRTM has relatively higher vertical accuracy (root mean square error = 17.05 m), compared to ASTER (24.09 m) and GMTED (32.85 m). The vertical accuracy of all the spaceborne DEMs strongly depends on the relief and ruggedness of the terrain as well as the type of vegetation. It is proposed that in the absence of other available and acceptable elevation datasets, SRTM and ASTER are equally competent for geomorphometric analysis in tropical regions, while GMTED shows significant loss of terrain information due to coarser spatial resolution.
Keywords
Digital elevation model Geomorphometry DEM accuracyNotes
Acknowledgments
The authors thank Mr. Aneesh S.S., Junior Research Fellow, Inter University Center for Geospatial Information Science and Technology, for his generous help during data analysis.
Supplementary material
References
- Barnes R, Lehman C, Mulla D (2014) An efficient assignment of drainage direction over flat surfaces in raster digital elevation models. Comput Geosci 62:128–135. doi: 10.1016/j.cageo.2013.01.009 Google Scholar
- Bennie J, Hill MO, Baxter R, Huntley B (2006) Influence of slope and aspect on long-term vegetation change in British chalk grasslands. J Ecol 94(2):355–368. doi: 10.1111/j.1365-2745.2006.01104.x Google Scholar
- Beven KJ, Kirkby MJ (1979) A physically based, variable contributing area model of basin hydrology. Hydrol Sci Bull 24(1):43–69. doi: 10.1080/02626667909491834 Google Scholar
- Burrough PA, McDonnell R (1998) Principles of geographical information systems. Oxford university press, OxfordGoogle Scholar
- Burt TP, Butcher DP (1985) Topographic controls of soil moisture distributions. J Soil Sci 36(3):469–486. doi: 10.1111/j.1365-2389.1985.tb00351.x Google Scholar
- Carabajal CC, Harding DJ (2006) SRTM C-band and ICESat laser altimetry elevation comparisons as a function of tree cover and relief. Photogramm Eng Remote Sens 72(3):287–298Google Scholar
- Cavazzi S, Corstanje R, Mayr T, Hannam J, Fealy R (2013) Are fine resolution digital elevation models always the best choice in digital soil mapping? Geoderma 195–196:111–121. doi: 10.1016/j.geoderma.2012.11.020 Google Scholar
- Chang K-T, Tsai B-W (1991) The effect of DEM resolution on slope and aspect mapping. Cartogr Geogr Inf Syst 18(1):69–77. doi: 10.1559/152304091783805626 Google Scholar
- Chirico PG, Malpeli KC, Trimble SM (2012) Accuracy evaluation of an ASTER-derived global digital elevation model (GDEM) version 1 and version 2 for two sites in western Africa. GISci Remote Sens 49(6):775–801. doi: 10.2747/1548-1603.49.6.775 Google Scholar
- Colvocoresses AP (1982) An automated mapping satellite system (Mapsat). Photogramm Eng Remote Sens 48(10):1585–1591Google Scholar
- Cook A, Merwade V (2009) Effect of topographic data, geometric configuration and modeling approach on flood inundation mapping. J Hydrol 377(1–2):131–142. doi: 10.1016/j.jhydrol.2009.08.015 Google Scholar
- Dalen L, Hofgaard A (2005) Differential regional treeline dynamics in the Scandes Mountains. Arct Antarct Alp Res 37(3):284–296. doi:10.1657/1523-0430(2005)037[0284:DRTDIT]2.0.CO;2Google Scholar
- Danielson JJ, Gesch DB (2011) Global multi-resolution terrain elevation data 2010 (GMTED2010). U.S. Geo-logical Survey Open-File Report 2011–1073Google Scholar
- Deilami K, Mohd MIS, Atashpareh N (2012) An accuracy assessment of ASTER stereo images-derived digital elevation model by using rational polynomial coefficient model. Am J Sci Res 55:128–135Google Scholar
- Demirkesen AC (2012) Multi-risk interpretation of natural hazards for settlements of the Hatay province in the east Mediterranean region, Turkey using SRTM DEM. Environ Earth Sci 65(6):1895–1907. doi: 10.1007/s12665-011-1171-0 Google Scholar
- Dobos E, Hengl T (2009) Soil mapping applications. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol. 33. Elsevier, Amsterdam, pp 461–480Google Scholar
- Dragut L, Blaschke T (2006) Automated classification of landform elements using object-based image analysis. Geomorphology 81(3–4):330–344. doi: 10.1016/j.geomorph.2006.04.013 Google Scholar
- Falorni G, Teles V, Vivoni ER, Bras RL, Amaratunga KS (2005) Analysis and characterization of the vertical accuracy of digital elevation models from the shuttle radar topography mission. J Geophys Res Earth Surf 110(F2):F02005. doi: 10.1029/2003JF000113 Google Scholar
- Farr TG, Rosen PA, Caro E, Crippen R, Duren R, Hensley S, Kobrick M, Paller M, Rodriguez E, Roth L, Seal D, Shaffer S, Shimada J, Umland J, Werner M, Oskin M, Burbank D, Alsdorf D (2007) The shuttle radar topography mission. Rev Geophys 45(2):RG2004. doi: 10.1029/2005RG000183 Google Scholar
- Florinsky IV (1998) Accuracy of local topographic variables derived from digital elevation models. Int J Geogr Inf Sci 12(1):47–62. doi: 10.1080/136588198242003 Google Scholar
- Florinsky IV, Kuryakova GA (1996) Influence of topography on some vegetation cover properties. Catena 27(2):123–141. doi: 10.1016/0341-8162(96)00005-7 Google Scholar
- Frey H, Paul F (2012) On the suitability of the SRTM DEM and ASTER GDEM for the compilation of topographic parameters in glacier inventories. Int J Applied Earth Observ Geoinf 18:480–490. doi: 10.1016/j.jag.2011.09.020 Google Scholar
- Gallant JC, Wilson JP (2000) Primary topographic attributes. In: Wilson JP, Gallant JC (eds) Terrain analysis: principles and applications. Wiley, New York, pp 51–96Google Scholar
- Gichamo TZ, Popescu I, Jonoski A, Solomatine D (2012) River cross-section extraction from the ASTER global DEM for flood modeling. Environ Model Softw 31:37–46. doi: 10.1016/j.envsoft.2011.12.003 Google Scholar
- Gomez Gutierrez A, Lavado Contador JF, Schnabel S (2011) Testing the quality of open-access DEMs and their derived attributes in Spain: SRTM, GDEM and PNOA DEM. In: Hengl T, Evans IS, Wilson JP, Gould M (eds) Geomorphometry 2011. Redlands, CA, pp 53–56Google Scholar
- Gorokhovich Y, Voustianiouk A (2006) 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. doi: 10.1016/j.rse.2006.05.012 Google Scholar
- Grabs T, Seibert J, Bishop K, Laudon H (2009) Modeling spatial patterns of saturated areas: a comparison of the topographic wetness index and a dynamic distributed model. J Hydrol 373(1–2):15–23. doi: 10.1016/j.jhydrol.2009.03.031 Google Scholar
- Gruber S, Huggel C, Pike R (2009) Modelling mass movements and landslide susceptibility. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol 33. Elsevier, Amsterdam, pp 527–550Google Scholar
- Guth PL (2006) Geomorphometry from SRTM: comparison to NED. Photogramm Eng Remote Sens 72(3):269–277Google Scholar
- Guth PL (2011) Drainage basin morphometry: a global snapshot from the shuttle radar topography mission. Hydrol Earth Syst Sci 15(7):2091–2099. doi: 10.5194/hess-15-2091-2011 Google Scholar
- Hall K, Arocena JM, Boelhouwers J, Liping Z (2005) The influence of aspect on the biological weathering of granites: observations from the Kunlun Mountains, China. Geomorphology 67(1–2):171–188. doi: 10.1016/j.geomorph.2004.09.027 Google Scholar
- Hancock GR, Martinez C, Evans KG, Moliere DR (2006) A comparison of SRTM and high-resolution digital elevation models and their use in catchment geomorphology and hydrology: Australian examples. Earth Surf Proc Land 31(11):1394–1412. doi: 10.1002/esp.1335 Google Scholar
- Heuvelink GBM (1998) Error propagation in environmental modelling with GIS. Taylor & Francis, LondonGoogle Scholar
- Hirt C, Filmer MS, Featherstone WE (2010) Comparison and validation of the recent freely-available ASTER-GDEM ver1, SRTM ver4.1 and GEODATA DEM-9S ver3 digital elevation models over Australia. Aust J Earth Sci 57(3):337–347. doi: 10.1080/08120091003677553 Google Scholar
- Horsch B (2003) Modelling the spatial distribution of montane and subalpine forests in the central Alps using digital elevation models. Ecol Model 168(3):267–282. doi: 10.1016/S0304-3800(03)00141-8 Google Scholar
- Huggel C, Schneider D, Miranda PJ, Granados HD, Kaab A (2008) Evaluation of ASTER and SRTM DEM data for lahar modeling: a case study on lahars from Popocatepetl Volcano, Mexico. J Volcanol Geotherm Res 170(1–2):99–110. doi: 10.1016/j.jvolgeores.2007.09.005 Google Scholar
- Hurtrez J-E, Sol C, Lucazeau F (1999) Effect of drainage area on hypsometry from an analysis of small-scale drainage basins in the Siwalik Hills (central Nepal). Earth Surf Proc Land 24(9):799–808. doi: 10.1002/(SICI)1096-9837(199908)24:9<799:AID-ESP12>3.0.CO;2-4 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. Working Document No. 198, Centro Internacional de Agricultura Tropical (CIAT). Cali, ColombiaGoogle Scholar
- Jarvis A, Reuter HI, Neson A, Guevara E (2008). Hole-filled SRTM for the globe Version 4. http://srtm.csi.cgiar.org4
- Jelaska SD (2009) Vegetation mapping applications. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol 33. Elsevier, Amsterdam, pp 481–496Google Scholar
- Jenness J (2009) Surface area and ratio for ArcGIS (surface_area.exe). Jenness Enterprises. http://www.jennessent.com/arcgis/surface_area.htm
- Jenness J (2012) DEM surface tools. Jenness Enterprises. http://www.jennessent.com/arcgis/surface_area.htm
- Jing C, Shortridge A, Lin S, Wu J (2013) Comparison and validation of SRTM and ASTER GDEM for a subtropical landscape in Southeastern China. Int J Digit Earth, doi: 10.1080/17538947.2013.807307
- Kaab A (2005) Combination of SRTM3 and repeat ASTER data for deriving alpine glacier flow velocities in the Bhutan Himalaya. Remote Sens Environ 94(4):463–474. doi: 10.1016/j.rse.2004.11.003 Google Scholar
- Kang S, Lee D, Lee J, Running SW (2006) Topographic and climatic controls on soil environments and net primary production in a rugged temperate hardwood forest in Korea. Ecol Res 21(1):64–74. doi: 10.1007/s11284-005-0095-0 Google Scholar
- Keller EA, Pinter N (2002) Active tectonics: earthquakes, uplift and landscape. Prentice Hall, New Jersey 362 pGoogle Scholar
- Kinsey-Henderson AE, Wilkinson SN (2013) Evaluating shuttle radar and interpolated DEMs for slope gradient and soil erosion estimation in low relief terrain. Environ Model Softw 40:128–139. doi: 10.1016/j.envsoft.2012.08.010 Google Scholar
- Langbein WB (1947). Topographic characteristics of drainage basins. US Geological Society Water Supply Paper 968C, Washington DCGoogle Scholar
- Li P, Shi C, Li Z, Muller J-P, Drummond J, Li X, Li T, Li Y, Liu J (2013) Evaluation of ASTER GDEM using GPS benchmarks and SRTM in China. Int J Remote Sens 34(5):1744–1771. doi: 10.1080/01431161.2012.726752 Google Scholar
- Mashimbye ZE, de Clercq WP, Van Niekerk A (2014) An evaluation of digital elevation models (DEMs) for delineating land components. Geoderma 213:312–319. doi: 10.1016/j.geoderma.2013.08.023 Google Scholar
- Masoud AA, Koike K (2011) Auto-detection and integration of tectonically significant lineaments from SRTM DEM and remotely-sensed geophysical data. ISPRS J of Photogramm Remote Sens 66(6):818–832. doi: 10.1016/j.isprsjprs.2011.08.003 Google Scholar
- Merritt WS, Letcher RA, Jakeman AJ (2003) A review of erosion and sediment transport models. Environ Model Softw 18(8–9):761–799. doi: 10.1016/S1364-8152(03)00078-1 Google Scholar
- Miliaresis GCh, Paraschou CVE (2011) An evaluation of the accuracy of the ASTER GDEM and the role of stack number: a case study of Nisiros Island, Greece. Remote Sens Lett 2(2):127–135. doi: 10.1080/01431161.2010.503667 Google Scholar
- Mitasova H, Hofierka J (1993) Interpolation by regularized spline with tension: II application to terrain modeling and surface geometry analysis. Math Geol 25(6):657–669. doi: 10.1007/BF00893172 Google Scholar
- Moore ID, Burch GJ (1986a) Physical basis of the length-slope factor in the universal soil loss equation. Soil Sci Soc Am J 50(5):1294–1298. doi: 10.2136/sssaj1986.03615995005000050042x Google Scholar
- Moore ID, Burch GJ (1986b) Modelling erosion and deposition: topographic effects. Trans Am Soc Agric Biol Eng 29(6):1624–1630. doi: 10.13031/2013.30363 Google Scholar
- Moore ID, Wilson JP (1992) Length-slope factors for the revised universal soil loss equation: simplified method of estimation. J Soil Water Conserv 47(5):423–428Google Scholar
- Moore ID, Grayson RB, Ladson AR (1992) Digital terrain modelling: a review of hydrological, geomorphological, and biological applications. In: Beven KJ, Moore ID (eds) Terrain analysis and distributed modelling in hydrology. Wiley, New York, pp 7–34Google Scholar
- Moore ID, Gessler PE, Nielsen GA, Peterson GA (1993) Soil attribute prediction using terrain analysis. Soil Sci Soc Am J 57(2):443–452. doi: 10.2136/sssaj1993.03615995005700020026x Google Scholar
- Mouratidis A, Briole P, Katsambalos K (2010) SRTM 3” DEM (version 1, 2, 3, 4) validation by means of extensive kinematic GPS measurements: a case study from North Greece. Int J Remote Sens 31(23):6205–6222. doi: 10.1080/01431160903401403 Google Scholar
- Mukherjee S, Joshi PK, Mukherjee S, Ghosh A, Garg RD, Mukhopadhyay A (2013) Evaluation of vertical accuracy of open source digital elevation model (DEM). Int J Applied Earth Observ Geoinf 21:205–217. doi: 10.1016/j.jag.2012.09.004 Google Scholar
- Nelson A, Reuter HI, Gessler P (2009) DEM production methods and sources. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol 33. Elsevier, Amsterdam, pp 65–86Google Scholar
- NGA (1996) Performance specification Digital Terrain Elevation Data (DTED) National Geospatial Intelligence Agency Report MILPRF-89020A, 19 April 1996 (superseded 23 May 2000)Google Scholar
- Nikolakopoulos KG, Kamaratakis EK, Chrysoulakis N (2006) SRTM vs ASTER elevation products: comparison for two regions in Crete, Greece. Int J Remote Sens 27(21):4819–4838. doi: 10.1080/01431160600835853 Google Scholar
- Oguchi T, Aoki T, Matsuta N (2003) Identification of an active fault in the Japanese Alps from DEM-based hill shading. Comput Geosci 29(7):885–891. doi: 10.1016/S0098-3004(03)00083-9 Google Scholar
- Oksanen J, Sarjakoski T (2005) Error propagation of DEM-based surface derivatives. Comput Geosc 31(8):1015–1027. doi: 10.1016/j.cageo.2005.02.014 Google Scholar
- Ozdemir H, Bird D (2009) Evaluation of morphometric parameters of drainage networks derived from topographic maps and DEM in point of floods. Environ Geol 56(7):1405–1415. doi: 10.1007/s00254-008-1235-y Google Scholar
- Park S, Oh C, Jeon S, Jung H, Choi C (2011) Soil erosion risk in Korean watersheds, assessed using the revised universal soil loss equation. J Hydrol 399(3–4):263–273. doi: 10.1016/j.jhydrol.2011.01.004 Google Scholar
- Peckham SD (2009) Geomorphometry and spatial hydrologic modelling. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol 33. Elsevier, Amsterdam, pp 579–602Google Scholar
- Pike RJ (2000) Geomorphometry-diversity in quantitative surface analysis. Prog Phys Geogr 24(1):1–20. doi: 10.1177/030913330002400101 Google Scholar
- Prasannakumar V (2007) Geomorphology of Kerala. International Centre for Kerala Studies, University of Kerala, ThiruvananthapuramGoogle Scholar
- Prasannakumar V, Shiny R, Geetha N, Vijith H (2011) Applicability of SRTM data for landform characterisation and geomorphometry: a comparison with contour-derived parameters. Int J Digit Earth 4(5):387–401. doi: 10.1080/17538947.2010.514010 Google Scholar
- Preeja KR, Joseph S, Thomas J, Vijith H (2011) Identification of groundwater potential zones of a tropical river basin (Kerala, India) using remote sensing and GIS techniques. J Indian Soc Remote Sens 39(1):83–94. doi: 10.1007/s12524-011-0075-5 Google Scholar
- Qin C-Z, Zhu A-X, Pei T, Li B-L, Scholten T, Behrens T, Zhou C-H (2011) An approach to computing topographic wetness index based on maximum downslope gradient. Precision Agric 12(1):32–43. doi: 10.1007/s11119-009-9152-y Google Scholar
- Quinn PF, Beven KJ (1993) Spatial and temporal predictions of soil moisture dynamics, runoff, variable source areas and evapotranspiration for Plynlimon, Mid-Wales. Hydrol Process 7(4):425–448. doi: 10.1002/hyp.3360070407 Google Scholar
- Quinn PF, Beven KJ, Lamb R (1995) The ln (a/tanβ) index: how to calculate it and how to use it within the TOPMODEL framework. Hydrol Process 9(2):161–182. doi: 10.1002/hyp.3360090204 Google Scholar
- Rawat KS, Mishra AK, Sehgal VK, Ahmed N, Tripathi VK (2013) Comparative evaluation of horizontal accuracy of elevations of selected ground control points from ASTER and SRTM DEM with respect to CARTOSAT-1 DEM: a case study of Shahjahanpur district, Uttar Pradesh, India. Geocarto Int 28(5):439–452. doi: 10.1080/10106049.2012.724453 Google Scholar
- Renschler CS, Harbor J (2002) Soil erosion assessment tools from point to regional scales: the role of geomorphologists in land management research and implementation. Geomorphology 47(2–4):189–209. doi: 10.1016/S0169-555X(02)00082-X Google Scholar
- Renschler CS, Flanagan DC, Engel BA, Kramer LA, Sudduth KA (2002) Site-specific decision-making based on RTK GPS survey and six alternative elevation data sources: watershed topography and delineation. Trans Am Soc Agric Biol Eng 45(6):1883–1895. doi: 10.13031/2013.11439 Google Scholar
- Reuter HI, Hengl T, Gessler P, Soille P (2009) Preparation of DEMs for geomorphometric analysis. In: Hengl T, Reuter HI (eds) Geomorphometry: concepts, software, applications, developments in soil science, vol 33. Elsevier, Amsterdam, pp 87–120Google Scholar
- Riley SJ, DeGloria SD, Elliot R (1999) A terrain ruggedness index that quantifies topographic heterogeneity. Intermt J Sci 5(1–4):23–27Google Scholar
- Rodriguez E, Morris CS, Belz JE, Chapin EC, Martin JM, Daffer W, Hensley S (2005) An Assessment of the SRTM Topographic Products. Jet Propulsion Laboratory, Pasadena, California, p 143Google Scholar
- Romstad B, Etzelmuller B (2012) Mean-curvature watersheds: a simple method for segmentation of a digital elevation model into terrain units. Geomorphology 139–140:293–302. doi: 10.1016/j.geomorph.2011.10.031 Google Scholar
- Schumann G, Matgen P, Cutler MEJ, Black A, Hoffmann L, Pfister L (2008) Comparison of remotely sensed water stages from LiDAR, topographic contours and SRTM. ISPRS J Photogramm Remote Sens 63(3):283–296. doi: 10.1016/j.isprsjprs.2007.09.004 Google Scholar
- Schwanghart W, Groom G, Kuhn NJ, Heckrath G (2013) Flow network derivation from a high resolution DEM in a low relief, agrarian landscape. Earth Surf Proc Land 38(13):1576–1586. doi: 10.1002/esp.3452 Google Scholar
- Sharma A, Tiwari KN, Bhadoria PBS (2010) Vertical accuracy of digital elevation model from Shuttle Radar Topographic Mission: a case study. Geocarto Int 25(4):257–267. doi: 10.1080/10106040903302931 Google Scholar
- Shevenell L (1999) Regional potential evapotranspiration in arid climates based on temperature, topography and calculated solar radiation. Hydrol Process 13(4):577–596. doi: 10.1002/(SICI)1099-1085(199903)13:4<577:AID-HYP757>3.0.CO;2-P Google Scholar
- Shortridge A, Messina J (2011) Spatial structure and landscape associations of SRTM error. Remote Sens Environ 115(6):1576–1587. doi: 10.1016/j.rse.2011.02.017 Google Scholar
- Slater JA, Garvey G, Johnston C, Haase J, Heady B, Kroenung G, Little J (2006) The SRTM data ‘finishing’ process and products. Photogramm Eng Remote Sens 72(3):237–247Google Scholar
- Soman K (2002) Geology of Kerala. Geological Society of India, BangaloreGoogle Scholar
- Speight JG (1977) Landform pattern description from aerial photographs. Photogrammetria 32(5):161–182. doi: 10.1016/0031-8663(77)90012-6 Google Scholar
- Strahler AN (1952) Hypsometric (area-altitude) analysis of erosional topography. Geol Soc Am Bull 63(11):1117–1142. doi:10.1130/0016-7606(1952)63[1117:HAAOET]2.0.CO;2Google Scholar
- Sun G, Ranson KJ, Kharuk VI, Kovacs K (2003) Validation of surface height from shuttle radar topography mission using shuttle laser altimeter. Remote Sens Environ 88(4):401–411. doi: 10.1016/j.rse.2003.09.001 Google Scholar
- Tarboton DG, Bras RL, Rodrigues-Iturbe I (1992) On the extraction of channel networks from digital elevation data. In: Beven KJ, Moore ID (eds) Terrain analysis and distributed modelling in hydrology. Wiley, New York, pp 85–104Google Scholar
- Theobald DM (1989) Accuracy and bias issues in surface representation. In: Goodchild M, Gopol S (eds) Accuracy of spatial databases. Taylor & Francis, Bristol, pp 99–106Google Scholar
- Thomas J, Joseph S, Thrivikramji KP, Abe G, Kannan N (2012) Morphometrical analysis of two tropical mountain river basins of contrasting environmental settings, the southern Western Ghats, India. Environ Earth Sci 66(8):2353–2366. doi: 10.1007/s12665-011-1457-2 Google Scholar
- Thompson JA, Bell JC, Butler CA (2001) Digital elevation model resolution: effects on terrain attribute calculation and quantitative soil-landscape modeling. Geoderma 100(1–2):67–89. doi: 10.1016/S0016-7061(00)00081-1 Google Scholar
- Toutin T (2002) Impact of terrain slope and aspect on radargrammetric DEM accuracy. ISPRS J Photogramm Remote Sens 57(3):228–240. doi: 10.1016/S0924-2716(02)00123-5 Google Scholar
- Toutin T (2008) ASTER DEMs for geomatic and geoscientific applications: a review. Int J Remote Sens 29(7):1855–1875. doi: 10.1080/01431160701408477 Google Scholar
- USGS (1998) Standards for digital elevation models. Part 3, quality control, National Mapping Program Technical Instructions. United States Geological Survey, p 10. Retrieved from http://nationalmap.gov/standards/demstds.html
- Valeriano MM, Kuplich TM, Storino M, Amaral BD, Mendes JN Jr, Lima DJ (2006) Modelling small watersheds in Brazilian Amazonia with shuttle radar topographic mission-90 m data. Comput Geosci 32(8):1169–1181. doi: 10.1016/j.cageo.2005.10.019 Google Scholar
- van Niekerk A (2010) A comparison of land unit delineation techniques for land evaluation in the Western Cape, South Africa. Land Use Policy 27(3):937–945. doi: 10.1016/j.landusepol.2009.12.007 Google Scholar
- Vaze J, Teng J, Spencer G (2010) Impact of DEM accuracy and resolution on topographic indices. Environ Model Softw 25(10):1086–1098. doi: 10.1016/j.envsoft.2010.03.014 Google Scholar
- Vocal Ferencevic M, Ashmore P (2012) Creating and evaluating digital elevation model-based stream-power map as a stream assessment tool. River Res Appl 28(9):1394–1416. doi: 10.1002/rra.1523 Google Scholar
- Walsh SJ, Lightfoot DR, Butler DR (1987) Recognition and assessment of error in geographic information systems. Photogramm Eng Remote Sens 53(10):1423–1430Google Scholar
- Wang W, Yang X, Yao T (2012) Evaluation of ASTER GDEM and SRTM and their suitability in hydraulic modelling of a glacial lake outburst flood in southeast Tibet. Hydrol Process 26(2):213–225. doi: 10.1002/hyp.8127 Google Scholar
- Wilson JP, Gallant JC (eds) (2000) Terrain analysis: principles and applications. Wiley, New YorkGoogle Scholar
- Wischmeier WH, Smith DD (1978) Predicting rainfall erosion losses: a guide to conservation planning. USDA Agriculture Handbook No. 537Google Scholar
- Wise S (2000) Assessing the quality for hydrological applications of digital elevation models derived from contours. Hydrol Process 14(11–12):1909–1929. doi: 10.1002/1099-1085(20000815/30)14:11/12<1909:AID-HYP45>3.0.CO;2-6 Google Scholar
- Wu S, Li J, Huang GH (2008) A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution. Applied Geogr 28(3):210–223. doi: 10.1016/j.apgeog.2008.02.006 Google Scholar
- Zevenbergen LW, Thorne CR (1987) Quantitative analysis of land surface topography. Earth Surf Proc Land 12(1):47–56. doi: 10.1002/esp.3290120107 Google Scholar
- Zhang W, Montgomery DR (1994) Digital elevation model grid size, landscape representation, and hydrologic simulations. Water Resour Res 30(4):1019–1028. doi: 10.1029/93WR03553 Google Scholar