Downstream hydraulic geometry relationships: Gathering reference reach-scale width values from LiDAR

Abstract This paper examines the ability of LiDAR topography to provide reach-scale width values for the analysis of downstream hydraulic geometry relationships along some streams in the Dolomites (northern Italy). Multiple reach-scale dimensions can provide representative geometries and statistics characterising the longitudinal variability in the channel, improving the understanding of geomorphic processes across networks. Starting from the minimum curvature derived from a LiDAR DTM, the proposed algorithm uses a statistical approach for the identification of the scale of analysis, and for the automatic characterisation of reach-scale bankfull widths. The downstream adjustment in channel morphology is then related to flow parameters (drainage area and stream power). With the correct planning of a LiDAR survey, uncertainties in the procedure are principally due to the resolution of the DTM. The outputs are in general comparable in quality to field survey measurements, and the procedure allows the quick comparison among different watersheds. The proposed automatic approach could improve knowledge about river systems with highly variable widths, and about systems in areas covered by vegetation or inaccessible to field surveys. With proven effectiveness, this research could offer an interesting starting point for the analysis of differences between watersheds, and to improve knowledge about downstream channel adjustment in relation, for example, to scale and landscape forcing (e.g. sediment transport, tectonics, lithology, climate, geomorphology, and anthropic pressure).

[1]  B. Bookhagen,et al.  Channel planform geometry and slopes from freely available high-spatial resolution imagery and DEM fusion: Implications for channel width scalings, erosion proxies, and fluvial signatures in tectonically active landscapes , 2013 .

[2]  Rey-Sern Lin,et al.  A modified morphological corner detector , 1998, Pattern Recognit. Lett..

[3]  G. Heritage,et al.  Towards a protocol for laser scanning in fluvial geomorphology , 2007 .

[4]  P. Tarolli,et al.  A new landscape metric for the identification of terraced sites: The Slope Local Length of Auto-Correlation (SLLAC) , 2014 .

[5]  Ellen Wohl,et al.  Reach‐scale channel geometry of a mountain river , 2004 .

[6]  P. Tarolli,et al.  Recognition of large scale deep-seated landslides in forest areas of Taiwan using high resolution topography , 2013 .

[7]  D. Montgomery,et al.  Downstream coarsening in headwater channels , 2002 .

[8]  W. Hession,et al.  Influence of bank vegetation on channel morphology in rural and urban watersheds , 2003 .

[9]  G. Tucker,et al.  Controls and limits on bedrock channel geometry , 2010 .

[10]  Luca Brocca,et al.  Soil moisture temporal stability at different depths on two alpine hillslopes during wet and dry periods , 2013 .

[11]  L. B. Leopold,et al.  The hydraulic geometry of stream channels and some physiographic implications , 1953 .

[12]  D. J. Chadwick,et al.  Analysis of LiDAR-derived topographic information for characterizing and differentiating landslide morphology and activity , 2006 .

[13]  P. Tarolli,et al.  Modification of artificial drainage networks during the past half-century: Evidence and effects in a reclamation area in the Veneto floodplain (Italy) , 2014 .

[14]  P. Tarolli,et al.  Metrics for quantifying anthropogenic impacts on geomorphology: road networks , 2016 .

[15]  W. Graf Downstream Changes in Stream Power in the Henry Mountains, Utah , 1983 .

[16]  P. J. Whiting,et al.  Sediment-transporting flows in headwater streams , 1999 .

[17]  Giulia Sofia,et al.  An objective approach for feature extraction: distribution analysis and statistical descriptors for scale choice and channel network identification , 2011 .

[18]  William A. Harman,et al.  HYDRAULIC GEOMETRY RELATIONSHIPS FOR URBAN STREAMS THROUGHOUT THE PIEDMONT OF NORTH CAROLINA 1 , 2002 .

[19]  J. P. Kimmins,et al.  The choice of window size in approximating topographic surfaces from Digital Elevation Models , 2004, Int. J. Geogr. Inf. Sci..

[20]  J. Lewin,et al.  Predicting channel patterns , 2001 .

[21]  R. Daniel,et al.  Bankfull hydraulic geometry relationships for North Carolina streams , 1999 .

[22]  M. Macklin,et al.  High‐resolution interpretative geomorphological mapping of river valley environments using airborne LiDAR data , 2007 .

[23]  M. A. Lenzi Step–pool evolution in the Rio Cordon, northeastern Italy , 2001 .

[24]  D. Milan,et al.  Influence of survey strategy and interpolation model on DEM quality , 2009 .

[25]  Chris E. Jordan,et al.  A methodological intercomparison of topographic survey techniques for characterizing wadeable streams and rivers , 2014 .

[26]  K. Richards Channel width and the riffle-pool sequence , 1976 .

[27]  K. L. Frankel,et al.  Characterizing arid region alluvial fan surface roughness with airborne laser swath mapping digital topographic data , 2007 .

[28]  Lorenzo Marchi,et al.  Assessment of shallow landsliding by using a physically based model of hillslope stability , 2002 .

[29]  P. Tarolli,et al.  The effectiveness of airborne LiDAR data in the recognition of channel-bed morphology , 2008 .

[30]  J. McKean,et al.  Objective landslide detection and surface morphology mapping using high-resolution airborne laser altimetry , 2004 .

[31]  P. Tarolli High-resolution topography for understanding Earth surface processes: Opportunities and challenges , 2014 .

[32]  E. Andrews Effective and bankfull discharges of streams in the Yampa River basin, Colorado and Wyoming , 1980 .

[33]  Anthony M. Filippi,et al.  Influence of river channel morphology and bank characteristics on water surface boundary delineation using high‐resolution passive remote sensing and template matching , 2014 .

[34]  J. H. Berg Prediction of alluvial channel pattern of perennial rivers , 1995 .

[35]  P. A. Shary,et al.  Land surface in gravity points classification by a complete system of curvatures , 1995 .

[36]  A. Rinaldo,et al.  Fractal River Basins: Chance and Self-Organization , 1997 .

[37]  Franklin T. Heitmuller,et al.  Lithologic and hydrologic controls of mixed alluvial-bedrock channels in flood-prone fluvial systems: Bankfull and macrochannels in the Llano River watershed, central Texas, USA , 2015 .

[38]  Vincenzo D'Agostino,et al.  Bedload transport in the instrumented catchment of the Rio Cordon: Part II: Analysis of the bedload rate , 1999 .

[39]  Gregory E. Tucker,et al.  Bedrock channel adjustment to tectonic forcing: Implications for predicting river incision rates , 2007 .

[40]  Giulia Sofia,et al.  High‐resolution topography and anthropogenic feature extraction: testing geomorphometric parameters in floodplains , 2014 .

[41]  Pascale M. Biron,et al.  Improvement of streams hydro‐geomorphological assessment using LiDAR DEMs , 2013 .

[42]  D. Milodowski,et al.  Objective extraction of channel heads from high‐resolution topographic data , 2014 .

[43]  Paola Passalacqua,et al.  Testing space‐scale methodologies for automatic geomorphic feature extraction from lidar in a complex mountainous landscape , 2010 .

[44]  P. Tarolli,et al.  Suitability of LiDAR point density and derived landform curvature maps for channel network extraction , 2010 .

[45]  R. Rosso,et al.  Parameterization of stream channel geometry in the distributed modeling of catchment dynamics , 1998 .

[46]  S. Lane,et al.  Estimation of erosion and deposition volumes in a large, gravel‐bed, braided river using synoptic remote sensing , 2003 .

[47]  L. Baillet,et al.  Environmental seismology: What can we learn on earth surface processes with ambient noise? , 2015 .

[48]  P. Tarolli,et al.  Variations in multiscale curvature distribution and signatures of LiDAR DTM errors , 2013 .

[49]  J. Xia,et al.  Response of reach-scale bankfull channel geometry to the altered flow and sediment regime in the lower Yellow River , 2014 .

[50]  Jon D. Pelletier,et al.  A robust, two‐parameter method for the extraction of drainage networks from high‐resolution digital elevation models (DEMs): Evaluation using synthetic and real‐world DEMs , 2013 .

[51]  S. Lecce Stream power, channel change, and channel geometry in the Blue River, Wisconsin , 2013 .

[52]  L. B. Leopold,et al.  Water In Environmental Planning , 1978 .

[53]  D. Milan,et al.  Filtering spatial error from DEMs: Implications for morphological change estimation , 2011 .

[54]  E. Wohl,et al.  Consistency of scaling relations among bedrock and alluvial channels , 2008 .

[55]  Martin Charlton,et al.  Application of airborne LiDAR in river environments: the River Coquet, Northumberland, UK , 2003 .

[56]  W. Marcus,et al.  Remote Sensing of the Hydraulic Environment in Gravel‐Bed Rivers , 2012 .

[57]  Gregory S. Springer,et al.  Channel geometry, median grain size, and stream power in small mountain streams , 2006 .

[58]  R. Bagnold An approach to the sediment transport problem from general physics , 1966 .

[59]  D. Knighton Fluvial Forms and Processes: A New Perspective , 1998 .

[60]  W. Dietrich,et al.  River Longitudinal Profiles and Bedrock Incision Models: Stream Power and the Influence of Sediment Supply , 2013 .

[61]  R. Derose,et al.  Variability and uncertainty in reach bankfull hydraulic geometry , 2008 .

[62]  P. Tarolli,et al.  Drainage network detection and assessment of network storage capacity in agrarian landscape , 2013 .

[63]  Dave Nagel,et al.  Remote Sensing of Channels and Riparian Zones with a Narrow-Beam Aquatic-Terrestrial LIDAR , 2009, Remote. Sens..

[64]  L. B. Leopold,et al.  River flood plains: Some observations on their formation , 1957 .

[65]  J. T. Hack Studies of longitudinal stream profiles in Virginia and Maryland , 1957 .

[66]  E. Wohl,et al.  Field-derived relationships for flow velocity and resistance in high-gradient streams , 2007 .

[67]  Jochen Schmidt,et al.  Comparison of polynomial models for land surface curvature calculation , 2003, Int. J. Geogr. Inf. Sci..

[68]  William E. Dietrich,et al.  Valley incision by debris flows: Evidence of a topographic signature , 2003 .

[69]  D. Montgomery,et al.  Downstream variations in the width of bedrock channels , 2001 .

[70]  E. Foufoula‐Georgiou,et al.  Channel network source representation using digital elevation models , 1993 .

[71]  I. Evans Statistical Characterization of Altitude Matrices by Computer. Report 6. An Integrated System of Terrain Analysis and Slope Mapping. , 1979 .

[72]  E. Wohl Limits of downstream hydraulic geometry , 2004 .

[73]  E. Foufoula‐Georgiou,et al.  Automatic geomorphic feature extraction from lidar in flat and engineered landscapes , 2011 .

[74]  P. Carling,et al.  The concept of dominant discharge applied to two gravel-bed streams in relation to channel stability thresholds , 1988 .

[75]  T. Anderson View from the river. , 2007, The practising midwife.

[76]  Lorenzo Marchi,et al.  Erosion Area Assessment in Mountainous Basins Using GIS Methods , 2000 .

[77]  G. D. Fontana,et al.  Snowmelt modelling by combining air temperature and a distributed radiation index , 1996 .

[78]  Nicholas J. Clifford,et al.  Classics in physical geography revisited , 1996 .

[79]  R. Ibbitt,et al.  Evaluation of optimal channel network and river basin heterogeneity concepts using measured flow and channel properties , 1997 .

[80]  M. Gordon Wolman,et al.  Fluvial Processes in Geomorphology , 1965 .

[81]  E. Wohl,et al.  Hydraulics, morphology, and energy dissipation in an alpine step‐pool channel , 2011 .

[82]  Ke Li,et al.  Open-pit mining geomorphic feature characterisation , 2015, Int. J. Appl. Earth Obs. Geoinformation.

[83]  Laurence C. Smith,et al.  RivWidth: A Software Tool for the Calculation of River Widths From Remotely Sensed Imagery , 2008, IEEE Geoscience and Remote Sensing Letters.

[84]  B. Bledsoe,et al.  Comment on Lewin and Brewer (2001): ¿Predicting channel patterns¿, Geomorphology 40, 329¿339 , 2003 .

[85]  I. Rodríguez‐Iturbe,et al.  Results from a new model of river basin evolution , 1991 .

[86]  Joseph. Wood,et al.  The geomorphological characterisation of Digital Elevation Models , 1996 .

[87]  John P. Wilson,et al.  Terrain analysis : principles and applications , 2000 .

[88]  Jean-Stéphane Bailly,et al.  Extraction of thalweg networks from DTMs: application to badlands , 2010 .

[89]  M. Fonstad Spatial variation in the power of mountain streams in the Sangre de Cristo Mountains, New Mexico , 2003 .

[90]  Alan T. Herlihy,et al.  Downstream variation in bankfull width of wadeable streams across the conterminous United States , 2009 .

[91]  F. Petit,et al.  BANKFULL DISCHARGE RECURRENCE INTERVAL IN GRAVEL-BED RIVERS , 1997 .

[92]  Thomas Blaschke,et al.  Automatic Geographic Object Based Mapping of Streambed and Riparian Zone Extent from LiDAR Data in a Temperate Rural Urban Environment, Australia , 2011, Remote. Sens..

[93]  S. Rice Which tributaries disrupt downstream fining along gravel-bed rivers? , 1998 .

[94]  Vincenzo D'Agostino,et al.  Bankfull width and morphological units in an alpine stream of the dolomites (Northern Italy) , 2007 .

[95]  André Paquier,et al.  Feedback between bed load transport and flow resistance in gravel and cobble bed rivers , 2008 .

[96]  P. Tarolli,et al.  Vineyards in Terraced Landscapes: New Opportunities from Lidar Data , 2015 .

[97]  Linda G. Shapiro,et al.  Computer and Robot Vision , 1991 .

[98]  Mario Aristide Lenzi,et al.  Bankfull and bed load effective discharge in a steep boulder-bed channel , 2005 .

[99]  A. Knighton Downstream variation in stream power , 1999 .

[100]  Tomasz F. Stepinski,et al.  Automatic mapping of valley networks on Mars , 2007, Comput. Geosci..

[101]  D. Montgomery Slope Distributions, Threshold Hillslopes, and Steady-state Topography , 2001 .

[102]  G. Tucker,et al.  Contrasting transient and steady‐state rivers crossing active normal faults: new field observations from the Central Apennines, Italy , 2007 .

[103]  E. Keller,et al.  Consideration of Meandering in Channelization Projects: Selected Observations and Judgements , 1984 .

[104]  Efi Foufoula-Georgiou,et al.  Channel network extraction from high resolution topography using wavelets , 2007 .

[105]  M. Stewardson Hydraulic geometry of stream reaches , 2005 .

[106]  D. Raff,et al.  Assessing the ability of airborne LiDAR to map river bathymetry , 2008 .

[107]  D. Montgomery,et al.  Controls on the channel width of rivers: Implications for modeling fluvial incision of bedrock , 2005 .

[108]  P. Tarolli,et al.  Geomorphic features extraction from high-resolution topography: landslide crowns and bank erosion , 2012, Natural Hazards.