Error in topographic attributes for volcanic hazard assessment of the Auckland Volcanic Field (New Zealand)

References

• Aguilar FJ, Mills JP. 2008. Accuracy assessment of LiDAR-derived digital elevation models. The Photogrammetric Record. 23:148–169. doi: 10.1111/j.1477-9730.2008.00476.x
   Web of Science ®Google Scholar
• Agustín-Flores J, Németh K, Cronin S, Lindsay J, Kereszturi G. 2015. Construction of the North Head (Maungauika) tuff cone: a product of Surtseyan volcanism, rare in the Auckland Volcanic Field, New Zealand. B Volcanol. 77:1–17. doi: 10.1007/s00445-014-0892-9
   PubMed Web of Science ®Google Scholar
• Beavan J, Motagh M, Fielding EJ, Donnelly N, Collett D. 2012. Fault slip models of the 2010–2011 Canterbury, New Zealand, earthquakes from geodetic data and observations of postseismic ground deformation. New Zeal J Geol Geophys. 55:207–221. doi: 10.1080/00288306.2012.697472
   Web of Science ®Google Scholar
• Bebbington MS, Cronin SJ. 2011. Spatio-temporal hazard estimation in the Auckland Volcanic Field, New Zealand, with a new event-order model. B Volcanol. 73:55–72. doi: 10.1007/s00445-010-0403-6
   Web of Science ®Google Scholar
• Brunori CA, Bignami C, Stramondo S, Bustos E. 2013. 20 years of active deformation on volcano caldera: joint analysis of InSAR and AInSAR techniques. Int J Appl Earth Obs. 23:279–287. doi: 10.1016/j.jag.2012.10.003
   Web of Science ®Google Scholar
• Cappello A, Zanon V, Del Negro C, Ferreira TJL, Queiroz MGPS. 2015. Exploring lava-flow hazards at Pico Island, Azores Archipelago (Portugal). Terra Nova. 27:156–161. doi: 10.1111/ter.12143
   Web of Science ®Google Scholar
• Chen C-F, Fan Z-M, Yue T-X, Dai H-L. 2011. A robust estimator for the accuracy assessment of remote-sensing-derived DEMs. Int J Remote Sens. 33:2482–2497. doi: 10.1080/01431161.2011.615766
   Web of Science ®Google Scholar
• Del Negro C, Cappello A, Neri M, Bilotta G, Herault A, Ganci G. 2013. Lava flow hazards at Mount Etna: constraints imposed by eruptive history and numerical simulations. Sci. Rep. 3, article no. 3493. doi:10.1038/srep03493.
   Web of Science ®Google Scholar
• El Difrawy MA, Runge MG, Moufti MR, Cronin SJ, Bebbington M. 2013. A first hazard analysis of the Quaternary Harrat Al-Madinah volcanic field, Saudi Arabia. J Volcanol Geoth Res. 267:39–46. doi: 10.1016/j.jvolgeores.2013.09.006
   Web of Science ®Google Scholar
• Evans IS. 1972. General geomorphometry, derivatives of altitude and descriptive statistics. In: Chorley RJ, editor. Spatial analysis in geomorphology. London: Methuen; p. 17–90.
   Google Scholar
• Farr TG. 1992. Microtopographic evolution of lava flows at Cima Volcanic Field, Mojave Desert, California. J Geophys Res: Solid Earth. 97:15171–15179. doi: 10.1029/92JB01592
   Web of Science ®Google Scholar
• Felpeto A, Araña V, Ortiz R, Astiz M, García A. 2001. Assessment and modelling of lava flow hazard on Lanzarote (Canary Islands). Nat Hazards. 23:247–257. doi: 10.1023/A:1011112330766
   Web of Science ®Google Scholar
• Fisher PF, Tate NJ. 2006. Causes and consequences of error in digital elevation models. Prog Phys Geog. 30:467–489. doi: 10.1191/0309133306pp492ra
   Web of Science ®Google Scholar
• Fornaciai A, Favalli M, Karátson D, Tarquini S, Boschi E. 2012. Morphometry of scoria cones, and their relation to geodynamic setting: a DEM-based analysis. J Volcanol Geoth Res. 217–218:56–72. doi: 10.1016/j.jvolgeores.2011.12.012
   Web of Science ®Google Scholar
• Gallay M. 2013. Direct acquisition of data: airborne laser scanning. Geomorphological Techniques. 2:1–17.
   Google Scholar
• Gallay M, Lloyd CD, McKinley J, Barry L. 2013. Assessing modern ground survey methods and airborne laser scanning for digital terrain modelling: a case study from the Lake District, England. Comput Geosci. 51:216–227. doi: 10.1016/j.cageo.2012.08.015
   Web of Science ®Google Scholar
• Gao J. 1998. Impact of sampling intervals on the reliability of topographic variables mapped from grid DEMs at a micro-scale. Int J Geogr Inf Sci. 12:875–890. doi: 10.1080/136588198241545
   Web of Science ®Google Scholar
• Geyer A, García-Sellés D, Pedrazzi D, Barde-Cabusson S, Marti J, Muñoz JA. 2015. Studying monogenetic volcanoes with a terrestrial laser scanner: case study at Croscat volcano (Garrotxa Volcanic Field, Spain). B Volcanol. 77:1–14. doi: 10.1007/s00445-015-0909-z
   PubMed Web of Science ®Google 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. 104:409–415. doi: 10.1016/j.rse.2006.05.012
   Web of Science ®Google Scholar
• Grohmann CH, Sawakuchi AO. 2013. Influence of cell size on volume calculation using digital terrain models: a case of coastal dune fields. Geomorphology. 180–181:130–136. doi: 10.1016/j.geomorph.2012.09.012
   Web of Science ®Google Scholar
• Guilbaud M-N, Siebe C, Layer P, Salinas S. 2012. Reconstruction of the volcanic history of the Tacámbaro-Puruarán area (Michoacán, México) reveals high frequency of Holocene monogenetic eruptions. B Volcanol. 74:1187–1211. doi: 10.1007/s00445-012-0594-0
   Web of Science ®Google Scholar
• Guth PL. 2006. Geomorphometry from SRTM: Comparison to NED. Photogramm Eng Rem S. 72:269–277. doi: 10.14358/PERS.72.3.269
   Web of Science ®Google 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. 57:337–347. doi: 10.1080/08120091003677553
   Web of Science ®Google Scholar
• Hodgson ME, Bresnahan P. 2004. Accuracy of airborne Lidar-derived elevation: empirical assessment and error budget. Photogramm Eng Rem Sens. 70:331–339. doi: 10.14358/PERS.70.3.331
   Web of Science ®Google Scholar
• Hodgson ME, Jensen J, Raber G, Tullis J, Davis BA, Thompson G, Schuckman K. 2005. An elevation of LiDAR-derived elevation and terrain slope in leaf-off conditions. Photogramm Eng Rem Sens. 71:817–823. doi: 10.14358/PERS.71.7.817
   Web of Science ®Google Scholar
• Höhle J, Höhle M. 2009. Accuracy assessment of digital elevation models by means of robust statistical methods. ISPRS J Photogramm. 64:398–406. doi: 10.1016/j.isprsjprs.2009.02.003
   Web of Science ®Google Scholar
• Huggel C, Schneider D, Miranda PJ, Delgado Granados H, Kääb A. 2008. Evaluation of ASTER and SRTM DEM data for lahar modeling: a case study on lahars from Popocatépetl Volcano, Mexico. J Volcanol Geoth Res. 170:99–110. doi: 10.1016/j.jvolgeores.2007.09.005
   Web of Science ®Google Scholar
• ILWIS. 2001. ILWIS 3.0 Academic—user’s guide [Internet]. Enschede, The Netherlands: Unit Geo Software Development Sector Remote Sensing and GIS IT Department, International Institute for Aerospace Survey and Earth Sciences (ITC); [cited 2016 May 17]. Available from: http://www.itc.nl/ilwis/documentation/version3.asp
   Google Scholar
• Jarvis A, Reuter HI, Nelson A, Guevara E. 2008. Hole-filled SRTM for the globe. Version 4 [Internet]. CGIAR-CSI SRTM 90m Database. [cited 2016 May 17]. Available from: http://www.cgiar-csi.org/data/srtm-90m-digital-elevation-database-v4-1
   Google Scholar
• Jordan G. 2003. Morphometric analysis and tectonic interpretation of digital terrain data: a case study. Earth Surf Proc Land. 28:807–822. doi: 10.1002/esp.469
   Web of Science ®Google Scholar
• Jordan G. 2007. Digital Terrain analysis in a GIS environment. Concepts and development. In: Peckham R, Jordan G, editors. Digital terrain modelling. Berlin: Springer; p. 1–43.
   Google Scholar
• Jordan G, Meijninger BML, van Hinsbergen DJJ, Meulenkamp JE, van Dijk PM. 2005. Extraction of morphotectonic features from DEMs: development and applications for study areas in Hungary and NW Greece. Int J Appl Earth Obs. 7:163–182. doi: 10.1016/j.jag.2005.03.003
   Web of Science ®Google Scholar
• Kereszturi G, Cappello A, Ganci G, et al. 2014. Numerical simulation of basaltic lava flows in the Auckland Volcanic Field, New Zealand—Implication for volcanic hazard assessment. B Volcanol. 76:1–17.
   Google Scholar
• Kereszturi G, Geyer A, Martí J, Németh K, Dóniz-Páez FJ. 2013a. Evaluation of morphometry-based dating of monogenetic volcanoes—a case study from Bandas del Sur, Tenerife (Canary Islands). B Volcanol. 75:1–19. doi: 10.1007/s00445-013-0734-1
   Web of Science ®Google Scholar
• Kereszturi G, Németh K, Cronin JS, Agustin-Flores J, Smith IEM, Lindsay J. 2013b. A model for calculating eruptive volumes for monogenetic volcanoes—Implication for the Quaternary Auckland Volcanic Field, New Zealand. J Volcanol Geoth Res. 266:16–33. doi: 10.1016/j.jvolgeores.2013.09.003
   Web of Science ®Google Scholar
• Kereszturi G, Procter J, Cronin JS, Németh K, Bebbington M, Lindsay J. 2012. LiDAR-based quantification of lava flow susceptibility in the City of Auckland (New Zealand). Remote Sens Environ. 125:198–213. doi: 10.1016/j.rse.2012.07.015
   Web of Science ®Google 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 Modell Softw. 40:128–139. doi: 10.1016/j.envsoft.2012.08.010
   Web of Science ®Google Scholar
• Kurtz C, Stumpf A, Malet J-P, Gançarski P, Puissant A, Passat N. 2014. Hierarchical extraction of landslides from multiresolution remotely sensed optical images. ISPRS J Photogramm. 87:122–136. doi: 10.1016/j.isprsjprs.2013.11.003
   Web of Science ®Google Scholar
• Li P, Shi C, Li Z, Muller J-P, Drummond J, Li X, Li T, Li Y, Liu J. 2012. Evaluation of ASTER GDEM using GPS benchmarks and SRTM in China. Int J Remote Sens. 34:1744–1771. doi: 10.1080/01431161.2012.726752
   Web of Science ®Google Scholar
• Liao M, Jiang H, Wang Y, Wang T, Zhang L. 2013. Improved topographic mapping through high-resolution SAR interferometry with atmospheric effect removal. ISPRS J Photogramm. 80:72–79. doi: 10.1016/j.isprsjprs.2013.03.008
   Web of Science ®Google Scholar
• Lindsay JM, Leonard GS, Smid ER, Hayward BW. 2011. Age of the Auckland Volcanic field: a review of existing data. New Zeal J Geol Geophys. 54:379–401. doi: 10.1080/00288306.2011.595805
   Web of Science ®Google Scholar
• Litchfield N, Van Dissen R, Nicol A. 2007. Reassessment of slip rate and implications for surface rupture hazard of the Martinborough Fault, South Wairarapa, New Zealand. New Zeal J Geol Geophys. 50:239–243. doi: 10.1080/00288300709509834
   Web of Science ®Google Scholar
• Liu X. 2008. Airborne LiDAR for DEM generation: some critical issues. Prog Phys Geog. 32:31–49. doi: 10.1177/0309133308089496
   Web of Science ®Google Scholar
• MacMillan RA, Shary PA. 2008. Landforms and landform elements in geomorphometry. In: Hengl T, Reuter H, editors. Geomorphometry: concepts, software, applications. Amsterdam: Elsevier B.V.; p. 227–254.
   Google Scholar
• Mazzarini F, Favalli M, Isola I, Neri M, Pareschi MT. 2008. Surface roughness of pyroclastic deposits at Mt. Etna by 3D laser scanning. Ann Geophys. 51:813–822.
   Web of Science ®Google Scholar
• Meng X, Wang L, Silván-Cárdenas JL, Currit N. 2009. A multi-directional ground filtering algorithm for airborne LIDAR. ISPRS J Photogramm. 64:117–124. doi: 10.1016/j.isprsjprs.2008.09.001
   Web of Science ®Google Scholar
• Minár J, Evans IS. 2008. Elementary forms for land surface segmentation: the theoretical basis of terrain analysis and geomorphological mapping. Geomorphology. 95:236–259. doi: 10.1016/j.geomorph.2007.06.003
   Web of Science ®Google Scholar
• Moore ID, Grayson RB, Landson AR. 1991. Digital Terrain modelling: a review of hydrological, geomorphological, and biological applications. Hydrol Process. 5:3–30. doi: 10.1002/hyp.3360050103
   Web of Science ®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 Appl Earth Obs. 21:205–217. doi: 10.1016/j.jag.2012.09.004
   Web of Science ®Google Scholar
• Murcia H, Németh K, El-Masry NN, Lindsay JM, Moufti MRH, Wameyo P, Cronin SJ, Smith IEM, Kereszturi G. 2015. The Al-Du'aythah volcanic cones, Al-Madinah City: implications for volcanic hazards in northern Harrat Rahat, Kingdom of Saudi Arabia. B Volcanol. 77:1–19. doi: 10.1007/s00445-015-0936-9
   PubMed Web of Science ®Google Scholar
• Nelson A, Reuter HI, Gessler P. 2008. DEM production methods and sources. In: Hengl T, Reuter H, editor. Geomorphometry: concepts, software, applications. Amsterdam: Elsevier B.V.; p. 65–85.
   Google Scholar
• Procter JN, Cronin SJ, Platz T, Patra A, Dalbey K, Sheridan M, Neall V. 2010. Mapping block-and-ash flow hazards based on Titan 2D simulations: a case study from Mt. Taranaki, NZ. Nat Hazards. 53:483–501. doi: 10.1007/s11069-009-9440-x
   Web of Science ®Google Scholar
• Qin C-Z, Bao L-L, Zhu AX, Wang R-X, Hu X-M. 2013. Uncertainty due to DEM error in landslide susceptibility mapping. Int J Geogr Inf Sci. 27:1364–1380. doi: 10.1080/13658816.2013.770515
   Web of Science ®Google Scholar
• Raaflaub LD, Collins MJ. 2006. The effect of error in gridded digital elevation models on the estimation of topographic parameters. Environ Modell Softw. 21:710–732. doi: 10.1016/j.envsoft.2005.02.003
   Web of Science ®Google Scholar
• Rabus B, Eineder M, Roth A, Bamler R. 2003. The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar. ISPRS J Photogramm. 57:241–262. doi: 10.1016/S0924-2716(02)00124-7
   Web of Science ®Google Scholar
• Shary PA, Sharaya LS, Mitusov AV. 2002. Fundamental quantitative methods of land surface analysis. Geoderma. 107:1–32. doi: 10.1016/S0016-7061(01)00136-7
   Web of Science ®Google Scholar
• Shepard MK, Campbell BA, Bulmer MH, Farr TG, Gaddis LR, Plaut JJ. 2001. The roughness of natural terrain: a planetary and remote sensing perspective. J Geophys Res: Planets. 106:32777–32795. doi: 10.1029/2000JE001429
   Web of Science ®Google Scholar
• Shortridge A, Messina J. 2011. Spatial structure and landscape associations of SRTM error. Remote Sens Environ. 115:1576–1587. doi: 10.1016/j.rse.2011.02.017
   Web of Science ®Google Scholar
• Speight JG. 1974. A parametric approach to landform regions. Special Publication Institute of British Geographers. 7:213–230.
   Google Scholar
• Spörli KB, Black PM, Lindsay JM. 2015. Excavation of buried Dun Mountain–Maitai terrane ophiolite by volcanoes of the Auckland Volcanic field, New Zealand. New Zeal J Geol Geophys. 58:229–243. doi: 10.1080/00288306.2015.1035285
   Web of Science ®Google Scholar
• Székely B, Koma Z, Karátson D, Dorninger P, Wörner G, Brandmeier M, Nothegger C. 2014. Automated recognition of quasi-planar ignimbrite sheets as paleosurfaces via robust segmentation of digital elevation models: an example from the Central Andes. Earth Surf Proc Land. 39:1386–1399. doi: 10.1002/esp.3606
   Web of Science ®Google Scholar
• Tarekegn TH, Haile AT, Rientjes T, Reggiani P, Alkema D. 2010. Assessment of an ASTER-generated DEM for 2D hydrodynamic flood modeling. Int J Appl Earth Obs. 12:457–465. doi: 10.1016/j.jag.2010.05.007
   Web of Science ®Google Scholar
• Villamor P, Litchfield N, Barrell D, Van Dissen R, Hornblow S, Quigley M, Levick S, Ries W, Duffy B, Begg J, et al. 2012. Map of the 2010 Greendale Fault surface rupture, Canterbury, New Zealand: application to land use planning. New Zeal J Geol Geophys. 55:223–230. doi: 10.1080/00288306.2012.680473
   Web of Science ®Google Scholar
• Wise S. 2011. Cross-validation as a means of investigating DEM interpolation error. Comput Geosci. 37:978–991. doi: 10.1016/j.cageo.2010.12.002
   Web of Science ®Google Scholar
• Wood J. 1996. The geomorphological characterization of digital elevation models [Unpublished thesis]. University of Leicester, UK.
   Google Scholar
• Wu S, Jonathan Li J, Huang GH. 2008. A study on DEM-derived primary topographic attributes for hydrologic applications: sensitivity to elevation data resolution. Appl Geogr. 28:210–223. doi: 10.1016/j.apgeog.2008.02.006
   Web of Science ®Google Scholar
• Yang P, Ames DP, Fonseca A, Anderson D, Shrestha R, Glenn NF, Cao Y. 2014. What is the effect of LiDAR-derived DEM resolution on large-scale watershed model results? Environ Modell Softw. 58:48–57. doi: 10.1016/j.envsoft.2014.04.005
   Web of Science ®Google Scholar
• Zandbergen PA. 2011. Characterizing the error distribution of lidar elevation data for North Carolina. Int J Remote Sens. 32:409–430. doi: 10.1080/01431160903474939
   Web of Science ®Google Scholar
• Zevenbergen LW, Thorne CR. 1987. Quantitative analysis of land surface topography. Earth Surf Proc Land. 12:47–56. doi: 10.1002/esp.3290120107
   Web of Science ®Google Scholar
• Zhang K, Whitman D. 2005. Comparison of three algorithms for filtering airborne Lidar data. Photogramm Eng Rem S. 71:313–324. doi: 10.14358/PERS.71.3.313
   Web of Science ®Google Scholar
• Zhang W, Montgomery DR. 1994. Digital elevation model grid size, landscape representation, and hydrologic simulations. Water Resour Res. 30:1019–1028. doi: 10.1029/93WR03553
   Web of Science ®Google Scholar