Airborne LiDAR point cloud in mapping of fluvial forms: a case study of a Hungarian floodplain

References

• Alexander, C., B. Deák, A. Kania, W. Mücke, and H. Heilmeier. 2015. “Classification of Vegetation in an Open Landscape Using Full-Waveform Airborne Laserscanner Data.” International Journal of Applied Earth Observation and Geoinformation 41: 76–87. doi:10.1016/j.jag.2015.04.014.
   Web of Science ®Google Scholar
• Balogh, M., T. Kiss, and K. Fiala. 2016. “Folyóhátak térbeli jellegzetességei LiDAR felvételek alapján.” In Az elmélet és a gyakorlat találkozása a térinformatikában VII., Térinformatikai Konferencia és Szakkiállítás, edited by B. Boglárka, 55–62. Debrecen: Universitas Alapítvány.
   Google Scholar
• Bölöni, J., Z. Molnár, M. Biró, and F. Horváth. 2008. “Distribution of the (Semi-)Natural Habitats in Hungary II. Woodlands and Shrublands.” Acta Botanica Hungarica 50: 107–148. doi:10.1556/ABot.50.2008.Suppl.6.
   Google Scholar
• Bretar, F., A. Chauve, J.-S. Bailly, C. Mallet, and A. Jacome. 2009. “Terrain Surfaces and 3-D Landcover Classification from Small Footprint Full-Waveform Lidar Data: Application to Badlands.” Hydrol Earth Systems Sciences 13: 1531–1544. doi:10.5194/hess-13-1531-2009.
   Web of Science ®Google Scholar
• Ciszewski, D. 2003. “Heavy Metals in Vertical Profiles of the Middle Odra River Overbank Sediments: Evidence for Pollution Changes.” Water, Air and Soil Pollution 143: 81–98. doi:10.1023/A:1022825103974.
   Web of Science ®Google Scholar
• Clark Labs. 2012. IDRISI Selva. Worcester, USA: Clark University. https://clarklabs.org/.
   Google Scholar
• Cohen, J. 1992. “Statistical Power Analysis.” Current Directions in Psychological Science 1: 98–101. doi:10.1111/1467-8721.ep10768783.
   Google Scholar
• Congalton, R. G. 1991. “A Review of Assessing the Accuracy of Classifications of Remotely Sensed Data.” Remote Sensing of Environment 37: 35–46. doi:10.1016/0034-4257(91)90048-B.
   Web of Science ®Google Scholar
• Deshpande, S. S. 2013. “Improved Floodplain Delineation Method Using High-Density LiDAR Data.” Computer-Aided Civil and Infrastructure Engineering 28: 68–79. doi:10.1111/j.1467-8667.2012.00774.x.
   Web of Science ®Google Scholar
• DeWitt, J. D., T. A. Warner, and J. F. Conley. 2015. “Comparison of DEMS Derived from USGS DLG, SRTM, a Statewide Photogrammetry Program, ASTER GDEM and Lidar: Implications for Change Detection.” GIScience & Remote Sensing 52 (2): 179–197. doi:10.1080/15481603.2015.1019708.
   Web of Science ®Google Scholar
• Dollar, E. S. J., C. S. James, K. H. Rogers, and M. C. Thoms. 2007. “A Framework for Interdisciplinary Understanding of Rivers as Ecosystems.” Geomorphology 89: 147–162. doi:10.1016/j.geomorph.2006.07.022.
   Web of Science ®Google Scholar
• Drǎguţ, L., J. Minár, O. Csillik, and I. S. Evans. 2013. “Land-Surface Segmentation to Delineate Elementary Forms from Digital Elevation Models.” Geomophometry 2013: 2–5. http://geomorphometry.org/system/files/Dragut2013geomorphometry1.pdf.
   Google Scholar
• ESRI. 2014. Arcgis Desktop: Release 10.3. Redlands, CA: Environmental Systems Research Institute.
   Google Scholar
• Field, A. 2009. Discovering Statistics Using SPSS, 821. London: SAGE Publications.
   Google Scholar
• Ghuffar, S., B. Székely, A. Roncat, and N. Pfeifer. 2013. “Landslide Displacement Monitoring Using 3D Range Flow on Airborne and Terrestrial Lidar Data.” Remote Sensing 5: 2720–2745. doi:10.3390/rs5062720.
   Web of Science ®Google Scholar
• Haboudane, D., J. R. Miller, E. Pattey, P. J. Zarco-Tejada, and I. Strachan. 2004. “Hyperspectral Vegetation Indices and Novel Algorithms for Predicting Green LAI of Crop Canopies: Modeling and Validation in the Context of Precision Agriculture.” Remote Sensing of Environment 90 (3): 337–352. doi:10.1016/j.rse.2003.12.013.
   Web of Science ®Google Scholar
• Hamar, J., and A. Sárkány-Kiss. 1999. “The Upper Tisza Valley.” Tisza Monograph Series, 502. Szeged: Tisza Klub’s Publications. http://expbio.bio.u-szeged.hu/ecology/tiscia/monograph/TISCIA-monograph4.pdf.
   Google Scholar
• Hothorn, T., K. Hornik, M. A. Van de Wiel, and A. Zeileis. 2006. “A Lego System for Conditional Inference.” The American Statistician 60: 257–263. doi:10.1198/000313006X118430.
   Web of Science ®Google Scholar
• Hughes, F. M. R. 1997. “Floodplain Biogeomorphology.” Progress in Physical Geography 21: 501–529. doi:10.1177/030913339702100402.
   Web of Science ®Google Scholar
• Jones, A. F., P. A. Brewer, E. Johnstone, and M. G. Macklin. 2007. “High-Resolution Interpretative Geomorphological Mapping of River Valley Environments Using Airborne Lidar Data.” Earth Surface Processes and Landforms 32 (10): 1574–1592. doi:10.1002/esp.1505.
   Web of Science ®Google Scholar
• Király, G., G. Brolly, and P. Burai. 2012. “Tree Height and Species Estimation Methods for Airborne Laser Scanning in a Forest Reserve.” In Full Proceedings of Silvilaser 2012, edited by N. Coops and M. Wulder, 12th International Conference on LiDAR Applications for Assessing Forest Ecosystems. https://www.researchgate.net/profile/Geza_Kiraly/publication/228808714_Tree_height_estimation_methods_for_terrestrial_laser_scanning_in_a_forest_reserve/links/540719020cf2c48563b292f4.pdf
   Google Scholar
• Kiss, T., and A. Sándor. 2009. “Land-Use Changes and Their Effect on Floodplain Aggradation along the Middle-Tisza River, Hungary.” AGD Landscape and Environment 3 (1): 1–10. http://landscape.geo.klte.hu/pdf/agd/2009/2009v3is1_1.pdf.
   Google Scholar
• Kundrát, J. T., E. Simon, I. Gyulai, G. Lakatos, and B. Tóthmérész. 2016. “Short-Term Weather Fluctuation and Quality Assessment of Oxbows.” Időjárás /Quaterly Journal of the Hungarian Meterological Service 120: 301–313. http://www.met.hu/en/ismeret-tar/kiadvanyok/idojaras/.
   Web of Science ®Google Scholar
• Lewin, J. 1978. “Floodplain Geomorphology.” Progress in Physical Geography 2: 408–437. https://www.researchgate.net/publication/295861592_Floodplain_geomorphology.
   Google Scholar
• Lóczy, D., E. Pirkhoffer, and P. Gyenizse. 2012. “Geomorphometric Floodplain Classification in a Hill Region of Hungary.” Geomorphology 147–148: 61–72. doi:10.1016/j.geomorph.2011.06.040.
   Web of Science ®Google Scholar
• McGarigal, K., and B. J. Marks. 1995. “FRAGSTATS: Spatial Pattern Analysis Program for Quantifying Landscape Structure.” Gen. Tech. Rep. PNW-GTR-351. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station 134. http://www.umass.edu/landeco/pubs/mcgarigal.marks.1995.pdf.
   Google Scholar
• Middelkoop, H. 2000. “Heavy Metal Pollution of the River Rhine and Meuse Floodplains in the Netherlands.” Netherlands Journal of Geosciences 79: 411–427. doi:10.1017/S0016774600021910.
   Web of Science ®Google Scholar
• Nguyen, H. L., M. Braun, I. Szaloki, W. Baeyens, R. Van Grieken, and M. Leermakers. 2009. “Tracing the Metal Pollution History of the Tisza River through the Analysis of a Sediment Depth Profile.” Water Air and Soil Pollution 200 (1–4): 119–132. doi:10.1007/s11270-008-9898-2.
   Web of Science ®Google Scholar
• Notebaert, B., G. Verstraeten, G. Govers, and J. Poesen. 2009. “Qualitative and Quantitative Applications of Lidar Imagery in Fluvial Geomorphology.” Earth Surface Processes and Landforms 34: 217–231. doi:10.1002/esp.1705.
   Web of Science ®Google Scholar
• Nyarko, B. K., B. Diekkrüger, N. C. Van de Giesen, and P. L. G. Vlek. 2015. “Floodplain Wetland Mapping in the White Volta River Basin of Ghana.” Giscience & Remote Sensing 52 (3): 374–395. doi:10.1080/15481603.2015.1026555.
   Web of Science ®Google Scholar
• O’ Connell, E., J. Ewen, G. O’ Donnell, and P. Quinn. 2007. “Is There a Link between Agricultural Land-Use Management and Flooding?” Hydrology Earth Systems Sciences 11 (1): 96–107. doi:10.5194/hess-11-96-2007.
   Web of Science ®Google Scholar
• Ortmann-Ajkai, A., D. Lóczy, P. Gyenizse, and E. Pirkhoffer. 2014. “Wetland Habitat Patches as Ecological Components of Landscape Memory in a Highly Modified Floodplain.” River Research and Applications 30: 874–886. doi:10.1002/rra.2685.
   Web of Science ®Google Scholar
• Passalacqua, P., J. H. Hillier, and P. Tarolli. 2014. “Innovative Analysis and Use of High-Resolution DTMs for Quantitative Interrogation of Earth-Surface Processes.” Earth Surface Processes and Landforms 39: 1400–1403. doi:10.1002/esp.3616.
   Web of Science ®Google Scholar
• Podhoranyi, M., and D. Fedorcak. 2015. “Inaccuracy Introduced by Lidar-Generated Cross Sections and Its Impact on 1D Hydrodynamic Simulations.” Environmental Earth Sciences 73 (1): 1–11. doi:10.1007/s12665-014-3390-7.
   Web of Science ®Google Scholar
• R Core Team. 2016. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.
   Google Scholar
• Ramos, J., L. Maruffo, and F. J. González. 2009. “Use of Lidar Data Floodplain Risk Management Planning: The Experience of Tabasco 2007 Flood.” In Advances in Geoscience and Remote Sensing, edited by G. Jedlovec, 659–678. Rijeka, Croatia: InTech. doi:10.5772/8322.
   Google Scholar
• Rapinel, S., L. Hubert-Moy, and B. Clément. 2011. “Using Lidar Data to Evaluate Wetland Functions.” In 34th International Symposium on Remote Sensing of Environment, Sydney, Australia. http://www.isprs.org/proceedings/2011/ISRSE-34/211104015Final00562.pdf.
   Google Scholar
• Riaño, D., E. Chuvieco, S. L. Ustin, J. Salas, J. R. Rodríguez-Pérez, L. M. Ribeiro, D. X. Viegas, J. M. Moreno, and H. Fernández. 2007. “Estimation of Shrub Height for Fuel-Type Mapping Combining Airborne LiDAR and Simultaneous Color Infrared Ortho Imaging.” International Journal of Wildland Fire 16 (3): 341–348. doi:10.1071/WF06003.
   Web of Science ®Google Scholar
• Ritter, D. F., R. C. Kochel, and J. R. Miller. 2011. “Fluvial Landforms.” In Process Geomorphology, 264–274. 5th ed. Long Grove, IL: Waveland Press.
   Google Scholar
• Rouse, J. W., R. H. Haas, J. A. Schell, and D. W. Deering. 1973. “Monitoring Vegetation Systems in the Great Plains with ERTS (Earth Resources Technology Satellite).” In Proceedings of Third Earth Resources Technology Satellite Symposium, Greenbelt, ON, Canada SP-351: 309–317. https://ntrs.nasa.gov/archive/nasa/casi.ntrs.nasa.gov/19740022614.pdf.
   Google Scholar
• Schindler, S., F. H. O’Neill, M. Biró, C. Damm, V. Gasso, R. Kanka, T. Van der Sluis, et al. 2016. “Multifunctional Floodplain Management and Biodiversity Effects: A Knowledge Synthesis for Six European Countries.” Biodiversity and Conservation 25: 1349–1382. doi:10.1007/s10531-016-1129-3.
   Web of Science ®Google Scholar
• Schweitzer, F., I. Nagy, and L. Alföldi. 2002. “Jelenkori övzátony (parti gát) képződés és hullámtéri lerakódás a Közép-Tisza térségében.” Földrajzi értesítő 51 (3–4): 257–278. http://www.mtafki.hu/konyvtar/kiadv/FE2002/FE20023-4_257-278.pdf.
   Google Scholar
• Scown, M. W., M. C. Thoms, and N. R. D. Jager. 2015. “Floodplain Complexity and Surfacemetrics: Influences of Scale and Geomorphology.” Geomorphology 245: 102–116. doi:10.1016/j.geomorph.2015.05.024.
   Web of Science ®Google Scholar
• Seijmonsbergen, A. C., T. Hengl, and N. S. Anders. 2011. “Semi-Automated Identification and Extraction of Geomorphological Features Using Digital Elevation Data.” Developments in Earth Surface Processes 15: 297–335. doi:10.1016/B978-0-444-53446-0.00010-0.
   Google Scholar
• SH/2/6 project final report edited by ENVIROSENSE HUNGARY Kft. 2013.Updating the flood protection plans for sections of the river Tisza under the management of the Environmental and Water Management Directorate of the Tiszántúl Region (TIKÖVIZIG) and the North Hungarian Environment and Water Directorate (ÉKÖVIZIG). Updating the flood protection plans for sections of the river Tisza under the management of the Environmental and Water Management Directorate of the Tiszántúl Region (TIKÖVIZIG) and the North Hungarian Environment and Water Directorate (ÉKÖVIZIG). 77. Debrecen.
   Google Scholar
• Singh, K. K., J. B. Vogler, D. A. Shoemaker, and R. K. Meentemeyer. 2012. “Lidar-Landsat Data Fusion for Large-Area Assessment of Urban Land Cover: Balancing Spatial Resolution, Data Volume and Mapping Accuracy.” ISPRS Journal of Photogrammetry and Remote Sensing 74: 110–121. doi:10.1016/j.isprsjprs.2012.09.009.
   Web of Science ®Google Scholar
• Sofia, G., G. Dalla Fontana, and P. Tarolli. 2014. “High-Resolution Topography and Anthropogenic Feature Extraction: Testing Geomorphometric Parameters in Floodplains.” Hydrological Processes 28 (4): 2046–2061. doi:10.1002/hyp.9727.
   Web of Science ®Google Scholar
• Surian, N. 1999. “Channel Changes Due to River Regulation: The Case of the Piave River, Italy.” Earth Surface Processes and Landforms 24: 1135–1151. doi:10.1002/(SICI)1096-9837(199911)24:12<1135::AID-ESP40>3.0.CO;2-F.
   Web of Science ®Google Scholar
• Szabó, J., R. Vass, and C. Tóth. 2012. “Examination of Fluvial Development on Study Areas of Upper-Tisza Region.” Carpathian Journal of Earth and Environmental Sciences 7 (4): 241–253. https://www.researchgate.net/publication/260052211_Examination_of_fluvial_development_on_study_areas_of_Upper-Tisza_region.
   Web of Science ®Google Scholar
• Szabó, S., P. Enyedi, M. Horváth, Z. Kovács, P. Burai, T. Csoknyai, and G. Szabó. 2016. “Automated Registration of Potential Locations for Solar Energy Production with Light Detection and Ranging (LiDAR) and Small Format Photogrammetry.” Journal of Cleaner Production 112: 3820–3829. doi:10.1016/j.jclepro.2015.07.117.
   Web of Science ®Google Scholar
• Szabó, S., Z. Gácsi, and B. Balázs. 2016. “Specific Features of NDVI, NDWI, and MNDWI as Reflected in Land Cover Categories.” Landscape & Environment 10 (3–4): 194–202. doi:10.21120/LE/10/3-4/13.
   Google Scholar
• Szabó, S., P. Szilassi, and P. Csorba. 2012. “Tools for Landscape Ecological Planning – Scale, and Aggregation Sensitivity of the Contagion Type Ladscape Metric Indices.” Carpathian Journal of Earth and Environmental Sciences 7 (3): 127–136. https://www.researchgate.net/publication/230703111_Tools_for_landscape_ecological_planning_scale_and_aggregation_sensitivity_of_the_contagion_type_landscape_metric_indices.
   Web of Science ®Google Scholar
• Szalai, Z. 1998. “Trace Metal Pollution and Microtopography in a Floodplain, the Haros Island (Budapest).” Geografia Fisica e Dinamica Quaternaria 21 (1): 75–78. https://www.researchgate.net/publication/291151257_Trace_metal_pollution_and_microtopography_in_a_floodplain_the_Haros_Island_Budapest.
   Google Scholar
• Tälle, M., B. Deák, P. Poschlod, O. Valkó, L. Westerberg, and P. Milberg. 2016. “Grazing Vs. Mowing: A Meta-Analysis of Biodiversity Benefits for Grassland Management.” Agriculture, Ecosystems & Environment 222: 200–212. doi:10.1016/j.agee.2016.02.008.
   Web of Science ®Google Scholar
• Tamás, M., and A. Farsang. 2011. “Evaluation of Environmental Condition: Water and Sediment Examination of Oxbow Lakes.” Acta Geographica Debrecina Landscape and Environment 5 (2): 84–92. http://agris.fao.org/agris-search/search.do?recordID=DJ2012092561. ISSN: .
   Google Scholar
• Tarolli, P. 2014. “High-Resolution Topography for Understanding Earth Surface Processes: Opportunities and Challenges.” Geomorphology 216: 295–312. doi:10.1016/j.geomorph.2014.03.008.
   Web of Science ®Google Scholar
• Tarolli, P., and G. Sofia. 2016. “Human Topographic Signatures and Derived Geomorphic Processes across Landscapes.” Geomorphology 255: 140–161. doi:10.1016/j.geomorph.2015.12.007.
   Web of Science ®Google Scholar
• Telbisz, T., T. Látos, M. Deák, B. Székely, Z. Koma, and T. Standovár. 2016. “The Advantage of LiDAR Digital Terrain Models in Doline Morphometry Compared to Topographic Map Based Datasets – Aggtelek Karst (Hungary) as an Example.” Acta Carsologica /Karsoslovni Zbornik 45 (1): 5–18. doi:10.3986/ac.v45i1.4138.
   Web of Science ®Google Scholar
• Thoms, M. C. 2003. “Floodplain – River Ecosystems: Lateral Connections and the Implications of Human Interference.” Geomorphology 56: 335–349. doi:10.1016/S0169-555X(03)00160-0.
   Web of Science ®Google Scholar
• Timár, G., and G. Gábris. 2006. “Estimation of Water Conductivity of the Natural Flood Channels on the Tisza Flood-Plain, the Great Hungarian Plain.” Geomorphology 98 (3–4): 250–261. doi:10.1016/j.geomorph.2006.12.031.
   Web of Science ®Google Scholar
• Vári, A., J. Linnerooth-Bayer, and Z. Ferencz. 2003. “Stakeholder Views on Flood Risk Management in Hungary’s Upper Tisza Basin.” Risk Analysis 23 (3): 585–600. doi:10.1111/1539-6924.00339/full.
   PubMed Web of Science ®Google Scholar
• Verstappen, H. 2011. “Old and New Trends in Geomorphological and Landform Mapping.” In Geomorphological Mapping: A Handbook of Techniques and Applications, edited by M. J. Smith, P. Paron, and J. Griffiths, 13–38. Amsterdam: Elsevier. https://www.researchgate.net/publication/251463669_Old_and_New_Trends_in_Geomorphological_and_Landform_Mapping.
   Google Scholar
• Williams, G. J. 2011. Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discovery, Use R!, 374. Springer. doi:10.1007/978-1-4419-9890-3.
   Google Scholar
• Xu, H., C. Caramanis, and S. Mannor. 2009. “Robustness and Generalization of Support Vector Machines.” Journal of Machine Learning Research 10: 1485–1510. http://jmlr.csail.mit.edu/papers/volume10/xu09b/xu09b.pdf.
   Web of Science ®Google Scholar
• Zlinszky, A., B. Deák, A. Kania, A. Schroiff, and N. Pfeifer. 2015. “Mapping Natura 2000 Habitat Conservation Status in a Pannonic Salt Steppe with Airborne Laser Scanning.” Remote Sensing 7: 2991–3019. doi:10.3390/rs70302991.
   Web of Science ®Google Scholar