Hydrology and Earth System Sciences www.hydrol-earth-syst-sci.net 1027-5606 1607-7938 13 8 2009 10.5194/hess-13-1531-2009 http://www.hydrol-earth-syst-sci.net/13/1531/2009/ http://www.hydrol-earth-syst-sci.net/13/1531/2009/hess-13-1531-2009.html http://www.hydrol-earth-syst-sci.net/13/1531/2009/hess-13-1531-2009.pdf 1531 1544 2009-08-26 Terrain surfaces and 3-D landcover classification from small footprint full-waveform lidar data: application to badlands F. Bretar frederic.bretar@ign.fr A. Chauve J.-S. Bailly C. Mallet A. Jacome Institut Géographique National, Laboratoire MATIS, 4 Av. Pasteur 94165 Saint-Mandé, France Maison de la Télédétection, UMR TETIS AgroParisTech/CEMAGREF/CIRAD, 500 rue J.F Breton, 34095 Montpellier, France This article presents the use of new remote sensing data acquired from airborne full-waveform lidar systems for hydrological applications. Indeed, the knowledge of an accurate topography and a landcover classification is a prior knowledge for any hydrological and erosion model. Badlands tend to be the most significant areas of erosion in the world with the highest erosion rate values. Monitoring and predicting erosion within badland mountainous catchments is highly strategic due to the arising downstream consequences and the need for natural hazard mitigation engineering. <br><br> Additionally, beyond the elevation information, full-waveform lidar data are processed to extract the amplitude and the width of echoes. They are related to the target reflectance and geometry. We will investigate the relevancy of using lidar-derived Digital Terrain Models (DTMs) and the potentiality of the amplitude and the width information for 3-D landcover classification. Considering the novelty and the complexity of such data, they are presented in details as well as guidelines to process them. The morphological validation of DTMs is then performed via the computation of hydrological indexes and photo-interpretation. Finally, a 3-D landcover classification is performed using a Support Vector Machine classifier. The use of an ortho-rectified optical image in the classification process as well as full-waveform lidar data for hydrological purposes is finally discussed. Urban hydrology for small watersheds, Technical Release 55, United States Department of Agriculture, Natural Resources Conservation Service, Conservation Engineering Division, 2nd edn., 1986. Antoine, P., Giraud, D., Meunier, M., and Ash, T V.: Geological and geotechnical properties of the "Terres Noires" in southeastern France: weathering, erosion, solid transport and instability, Eng. Geol., 40, 223–234, 1995. Antonarakis, A S., Richards, K S., Brasington, J., Bithell, M., and Muller, E.: Retrieval of vegetative fluid resistance terms for rigid stems using airborne lidar, J. Geophys. Res., 113, G02S07, doi:10.1029/2007JG000543, 2008. Bailly, J., Lagacherie, P., Millier, C., Puech, C., and Kosuth, P.: Agrarian landscapes linear features detection from LiDAR elevation profiles: application to artificial drainage network detection, Int. J. Remote Sens., 29(11–12), 3489–3508, 2008. Baltsavias, E P.: Airborne Laser Scanning: Basic relations and formulas, ISPRS J. Photogr. Remote Sens., 54(2–3), 199–214, 1999. Bretar, F. and Chehata, N.: Terrain Modelling from lidar range data in natural landscapes: a predictive and Bayesian framework, Tech. rep., Institut Géographique National, available at: http://hal.archives-ouvertes.fr/hal-00325275/fr/, 2008. Bryan, R. and Yair, A.: Perspectives on studies of badland geomorphology, in: Badland Geomorphology and Piping, edited by Bryan~R, Y A., GeoBooks (Geo Abstracts Ltd), Norwich, UK, 1–12, 1982. Chang, C.-C. and Lin, C.-J.: LIBSVM: a library for support vector machines, software available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001. Charleux-Demargne, J.: Valorisation des Modèles Numériques de Terrain en hydrologie. Qualité d'extraction d'objets et de caractéristiques hydrologiques à partir des MNT. Utilisation pour l'estimation du régime de crues des bassins versants, Ph.D. thesis, Université de Marne-La-Vallée, France, 2001. Chauve, A., Mallet, C., Bretar, F., Durrieu, S., Pierrot-Deseilligny, M., and Puech, W.: Processing full-waveform lidar data: modeling raw signals, in: IAPRS, vol. 36~(Part 3/W52), Espoo, Finland, 2007. Chauve, A., Bretar, F., Pierrot-Deseilligny, M., and Puech, W.: FULLANALYZE: A Research Tool for Handling, Processing and Analyzing Full-waveform Lidar Data, in: Proc. of the IEEE International Geoscience and Remote Sensing Symposium (IGARSS), Cape Town, South Africa, 2009. Chowdhury, P R., Deshmukh, B., and Goswami, A.: Machine Extraction of Landforms from Multispectral Images Using Texture and Neural Methods, in: Proc. of the International Conference on Computing: Theory and Applications, Washington DC, USA, 721–725, 2007. Cobby, D M., Mason, D C., and Davenport, I J.: Image processing of airborne scanning laser altimetry data for improved river flood modelling, ISPRS J. Photogr. Remote Sens., 56(2), 121–138, 2001. Cravero, J. and Guichon, P.: Exploitation des retenues et transport des sédiments, La Houille Blanche, 3–4, 292–296, 1989. Descroix, L. and Mathys, N.: Processes, spatio-temporal factors and measurements of current erosion in the French Southern Alps: a review, Earth Surface Processes and Landforms, 28~(9), 993–1011, 2003. Edwards, D.: Some effects of siltation upon aquatic macrophyte vegetation in rivers, Hydrobiologia, 34~(1), 29–38, 1969. Höfle, B. and Pfeifer, N.: Correction of laser scanning intensity data: Data and model-driven approaches, ISPRS J. Photogr. Remote Sens., 62(6), 415–433, 2007. Hollaus, M., Wagner, W., and Kraus, K.: Airborne laser scanning and usefulness for hydrological models, Adv. Geosci., 5, 57–63, 2005. Hsu, C.-W. and Lin, C.-J.: LIBSVM: a library for Support Vector Machine, software available at: http://www.csie.ntu.edu.tw/~cjlin/libsvm, 2001. Huang, C., Davis, L., and Townshend, J.: An assessment of support vector machines for land cover classification, Int. J. Remote Sens., 22(4), 725–749, 2002. Jacome, A., Puech, C., Raclot, D., Bailly, J., and Roux, B.: Extraction d'un modèle numérique de terrain par photographies par drone, Revue des Nouvelles Technologies de l'Information, 79–99, 2008. James, L., Watson, D., and Hansen, W.: Using LiDAR data to map gullies and headwater streams under forest canopy: South Carolina, USA, CATENA, 71(1), 2007. Journel, A. and Huijbregts, C.: Mining Geostatistics, Academic Press, London, 610 pp., 1978. Jutzi, B. and Stilla, U.: Range determination with waveform recording laser systems using a Wiener Filter, ISPRS J. Photogr. Remote Sens., 61, 95–107, 2006. Kaasalainen, S., Hyyppa, H., Kukko, A., Litkey, P., Ahokas, E., Hyyppa, J., Lehner, H., Jaakkola, A., Suomalainen, J., Akujärvi, A., Kaasalainen, M., and Pyysalo, U.: Radiometric Calibration of LIDAR Intensity With Commercially Available Reference Targets, IEEE T. Geosci. Remote Sens., 47, 588–598, 2009. Kasser, M. and Egels, Y.: Digital Photogrammetry, Taylor & Francis, 2002. King, C., Baghdadi, N., Lecomte, V., and Cerdan, O.: The application of Remote Sensing data to monitoring and modelling of soil erosion, CATENA, 62(2–3), 79–93, 2005. Kirchhof, M., Jutzi, B., and Stilla, U.: Iterative processing of laser scanning data by full waveform analysis, ISPRS J. Photogr. Remote Sens., 63(1), 99–114, 2008. Köthe, R. and Lehmeier, F.: SARA System – System zur Automatischen Relief-Analyse, 11–21, 1994. Lantuejoul, C.: Geostatistical Simulation: Models and Algorithms, Springer Verlag, Berlin, Germany, 256 pp., 2002. Lillesand, T. and Kiefer, R.: Remote Sensing and Image interpretation, John Wiley & Sons, 721 pp., 1994. Malet, J., Auzet, A., Maquaire, O., Ambroise, A., Descroix, L., Esteves, M., Vandervaere, J., and Truchet, E.: Investigating the influence of soil surface characteristics on infiltration on marly hillslopes, Earth Surf. Proc. Landf., 28(5), 547–560, 2003. Mallet, C. and Bretar, F.: Full-Waveform Topographic Lidar: State-of-the-Art, ISPRS J. Photogr. Remote Sens., 64, 1–16, 2009. Mallet, C., Bretar, F., and Soergel, U.: Analysis of full-waveform lidar data for classification of urban areas, Photogrammetrie Fernerkundung GeoInformation (PFG), 5, 337–349, 2008. Mason, D C., Cobby, D M., Horritt, M S., and Bates, P D.: Floodplain friction parameterization in two-dimensional river flood models using vegetation heights derived from airborne scanning laser altimetry, Hydrol. Proc., 17(9), 1711–1732, 2003. Mathys, N.: information available: http://www.grenoble.cemagref.fr/etna/oreDraix/oreDraix.htm, 2004. Mathys, N., Brochot, S., and Meunier, M.: L'érosion des Terres Noires dans les Alpes du Sud : contribution à l'estimation des valeurs annuelles moyennes (bassins versants expérimentaux de Draix, Alpes-de-Haute-Provence, France), Revue de géographie alpine, 17–27, 1996. Mathys, N., Brochot, S., Meunier, M., and Richard, D.: Erosion quantification in the small marly experimental catchments of Draix (Alpes de Haute Provence, France). Calibration of the ETC rainfall-runoff-erosion model, CATENA, 50(2–4), 527–548, 2003. McKean, J. and Roering, J.: Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry, Geomorphology, 57(3–4), 331–351, 2004. Murphy, P., Meng, J. O F., and Arp, P.: Stream network modelling using lidar and photogrammetric digital elevation models: a comparison and field verification, Hydrol. Proc., 22~(12), 1747–1754, 2008. Nadal-Romero, E., Regués, D., Marti-Bono, C., and Serrano-Muela, P.: Badland dynamics in the Central Pyrenees: temporal and spatial patterns of weathering processes, Earth Surf. Proc. Landf., 32(6), 888–904, 2007. O~Callaghan, J F. and Mark, D M.: The extraction of drainage networks from digital elevation data, Comput. Vision Graphics Image Process., 28, 323–244, 1984. O'Loughlin, E.: Prediction of surface saturation zones in natural catchments by topographic analysis, Water Resour. Res., 22(5), 794–804, 1986. Oostwoud, W D. and Ergenzinger, P.: Erosion and sediment transport on steep marly hillslopes, Draix, Haute-Provence, France: an experimental field study, CATENA, 33(22), 179–200, 1998. Paparoditis, N., Souchon, J.-P., Martinoty, G., and Pierrot-Deseilligny, M.: High-end aerial digital cameras and their impact on the automation and quality of the production workflow, ISPRS J. Photogr. Remote Sens., 60, 400–412, 2006. Pilgrim, D H (ed.): Australian rainfall and runoff, Institution of Engineers, Canberra, Australia, 1987. Pontil, M. and Verri, A.: Properties of support vector machines, Tech. Rep. AIM-1612, MIT, Cambridge, USA, 1997. Puech, C.: Utilisation de la télédétection et des modèles numériques de terrain pour la connaissance du fonctionnement des hydrosystèmes, Habilitation à diriger des recherches, Grenoble University, 2000. Quinn, P., Beven, K., Chevallier, P., and Planchon, O.: The prediction of hillslope flow paths for distributed hydrological modelling using digital terrain models, Hydrol. Proc., 5(1), 59–79, 1991. Regues, D. and Gallart, F.: Seasonal patterns of runoff and erosion responses to simulated rainfall in a badland area in Mediterranean mountain conditions (Vallcebre, Southeastern Pyrenees), Earth Surf. Proc. Landf., 29(6), 755–767, 2004. Reitberger, J., Krzystek, P., and Stilla, U.: Analysis of full waveform LIDAR data for the classification of deciduous and coniferous trees, Int. J. Remote Sens., 29, 1407–1431, 2008. Schultz, G. and Engman, E., eds.: Remote Sensing in Hydrology and Water Management, Springer-Verlag, Berlin, Germany, 484 pp., 2000. Sithole, G. and Vosselman, G.: Experimental Comparison of Filter Algorithms for Bare-Earth Extraction from Airborne Laser Scanning Point Clouds, ISPRS J. Photogr. Remote Sens., 59(1–2), 85–101, 2004. Torri, D. and Rodolfi, G.: Badlands in changing environments: an introduction, CATENA, 40(2), 119–125, 2000. Wagner, W., Ullrich, A., Ducic, V., Melzer, T., and Studnicka, N.: Gaussian Decomposition and calibration of a novel small-footprint full-waveform digitising airborne laser scanner, ISPRS J. Photogr. Remote Sens., 60(2), 100–112, 2006. Wagner, W., Hollaus, M., Briese, C., and Ducic, V.: 3D vegetation mapping using small-footprint full-waveformairborne laser scanners, Int. J. Remote Sens., 29(5), 1433–1452, 2008a. Wagner, W., Hyyppa, J., Ullrich, A., Lehner, H., Briese, C., and Kaasalainen, S.: Radiometric calibration of full-waveform small-footprint airborne laser scanners, in: IAPRS, vol. 37(Part 1), Beijing, China, 2008b. Walling, D.: Soil erosion research methods., chap. Measuring sediment yield from river basins,, Soil and water conservation society, Iowa, USA, 39–73, 1988. Wischmeier, W. and Smith, D.: Predicting rainfall erosion losses: a guide to conservation planning - Agriculture Handbook, 537, US Dept Agric., Washington DC, USA, 1978. Zevenbergen, L. and Thorne, C.: Quantitative Analysis of Land Surface Topography, Earth Surf. Proc. Landf., 12, 47–56, 1987. Zhang, L., O'Neill, A L., and Lacey, S.: Modelling approaches to the prediction of soil erosion in catchments, Environ. Softw., 11(1–3), 123–133, 1996. Zwally, H J., Schutz, B., Abdalati, W., Abshire, J., Bentley, C., Brenner, A., Bufton, J., Dezio, J., Hancock, D., Harding, D., Herring, T., Minster, B., Quinn, K., Palm, S., Spinhirne, J., and Thomas, R.: ICESat's laser measurements of polar ice, atmosphere, ocean, and land, J. Geodynam., 34(3–4), 405–445, 2002.