Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry
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[1] G. Minshall,et al. The River Continuum Concept , 1980 .
[2] Takeo Kanade,et al. An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.
[3] C. Frissell,et al. A hierarchical framework for stream habitat classification: Viewing streams in a watershed context , 1986 .
[4] David Gilvear,et al. Quantification of channel bed morphology in gravel-bed rivers using airborne multispectral imagery and aerial photography , 1997 .
[5] J. Ward. RIVERINE LANDSCAPES: BIODIVERSITY PATTERNS, DISTURBANCE REGIMES, AND AQUATIC CONSERVATION , 1998 .
[6] Ian Maddock,et al. The Importance of Physical Habitat Assessment for Evaluating River Health , 1999 .
[7] M. Newson,et al. Geomorphology, ecology and river channel habitat: mesoscale approaches to basin-scale challenges , 2000 .
[8] Stuart N. Lane,et al. The development of an automated correction procedure for digital photogrammetry for the study of wide, shallow, gravel‐bed rivers , 2000 .
[9] S. Lane,et al. The Measurement of River Channel Morphology Using Digital Photogrammetry , 2000 .
[10] Stuart N. Lane,et al. Automated extraction of grain-size data from gravel surfaces using digital image processing , 2001 .
[11] Stuart N. Lane,et al. REMOTE SENSING OF CLEAR-WATER, SHALLOW, GRAVEL-BED RIVERS USING DIGITAL PHOTOGRAMMETRY , 2001 .
[12] E. M. Lee,et al. Geomorphological mapping , 2001, Geological Society, London, Engineering Geology Special Publication.
[13] K. Fausch,et al. Landscapes to Riverscapes: Bridging the Gap between Research and Conservation of Stream Fishes , 2002 .
[14] E. Herricks,et al. A Multiscale Conceptual Framework for Integrated Ecogeomorphological Research to Support Stream Naturalization in the Agricultural Midwest , 2002, Environmental management.
[15] L. Mertes,et al. Remote sensing of riverine landscapes , 2002 .
[16] J. Wiens. Riverine landscapes: taking landscape ecology into the water , 2002 .
[17] S. Lane,et al. Through‐Water Close Range Digital Photogrammetry in Flume and Field Environments , 2002 .
[18] S. Lane,et al. Remote survey of large-scale braided, gravel-bed rivers using digital photogrammetry and image analysis , 2003 .
[19] Patrice E. Carbonneau,et al. Cost-effective non-metric close-range digital photogrammetry and its application to a study of coarse gravel river beds , 2003 .
[20] K. Tockner,et al. Landscape ecology: a framework for integrating pattern and process in river corridors , 2002, Landscape Ecology.
[21] W. Andrew Marcus,et al. Passive optical remote sensing of river channel morphology and in-stream habitat: Physical basis and feasibility , 2004 .
[22] G LoweDavid,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004 .
[23] David G. Lowe,et al. Distinctive Image Features from Scale-Invariant Keypoints , 2004, International Journal of Computer Vision.
[24] Henri Eisenbeiss,et al. PHOTOGRAMMETRIC DOCUMENTATION OF AN ARCHAEOLOGICAL SITE (PALPA, PERU) USING AN AUTONOMOUS MODEL HELICOPTER , 2005 .
[25] John G. Fryer. A simple system for photogrammetric mapping in shallow water , 2006 .
[26] John G. Fryer,et al. Errors in depth determination caused by waves in through-water photogrammetry , 2006 .
[27] Steven M. Seitz,et al. Photo tourism: exploring photo collections in 3D , 2006, ACM Trans. Graph..
[28] Stuart N. Lane,et al. Feature based image processing methods applied to bathymetric measurements from airborne remote sensing in fluvial environments , 2006 .
[29] G. Heritage,et al. Towards a protocol for laser scanning in fluvial geomorphology , 2007 .
[30] Richard Szeliski,et al. Modeling the World from Internet Photo Collections , 2008, International Journal of Computer Vision.
[31] J. Nelson,et al. Evaluation of an Experimental LiDAR for Surveying a Shallow, Braided, Sand-Bedded River , 2007 .
[32] S. Dugdale. An evaluation of imagery from an unmanned aerial vehicle (UAV) for the mapping of intertidal macroalgae on Seal Sands, Tees Estuary, UK , 2007 .
[33] C. Delacourt,et al. Very high spatial resolution imagery for channel bathymetry and topography from an unmanned mapping controlled platform , 2007 .
[34] G. C. Tewinkel. Water Depths from Aerial Photographs , 2008 .
[35] Albert Rango,et al. A PROCEDURE FOR ORTHORECTIFICATION OF SUB-DECIMETER RESOLUTION IMAGERY OBTAINED WITH AN UNMANNED AERIAL VEHICLE (UAV) , 2008 .
[36] J. Chandler,et al. A convergent image configuration for DEM extraction that minimises the systematic effects caused by an inaccurate lens model , 2008 .
[37] A. Large,et al. A predictive typology for characterising hydromorphology , 2008 .
[38] Jean-Stéphane Bailly,et al. Very-high-resolution mapping of river-immersed topography by remote sensing , 2008 .
[39] High Resolution Remote Sensing for Understanding Instream Habitat , 2008 .
[40] R. Lawrence,et al. Spectrally based remote sensing of river bathymetry , 2009 .
[41] R. Dunford,et al. Potential and constraints of Unmanned Aerial Vehicle technology for the characterization of Mediterranean riparian forest , 2009 .
[42] Jim H. Chandler,et al. High spatial resolution data acquisition for the geosciences: kite aerial photography , 2009 .
[43] Dave Nagel,et al. Remote Sensing of Channels and Riparian Zones with a Narrow-Beam Aquatic-Terrestrial LIDAR , 2009, Remote. Sens..
[44] James Brasington,et al. Accuracy assessment of aerial photographs acquired using lighter‐than‐air blimps: low‐cost tools for mapping river corridors , 2009 .
[45] J. Brasington,et al. Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets , 2009 .
[46] Hervé Piégay,et al. Quantifying the temporal dynamics of wood in large rivers: field trials of wood surveying, dating, tracking, and monitoring techniques , 2009 .
[47] D. Milan,et al. Mapping hydraulic biotopes using terrestrial laser scan data of water surface properties , 2010 .
[48] Stephen E. Darby,et al. An analytical method to estimate failure plane angle and tension crack depth for use in riverbank stability analyses , 2010 .
[49] J. Bailly,et al. Geostatistical estimations of bathymetric LiDAR errors on rivers , 2010 .
[50] R. E. Thomas,et al. Quantification of braided river channel change using archival digital image analysis , 2010 .
[51] Paul Raven,et al. A review of river habitat characterisation methods: indices vs. characterisation protocols , 2011, Limnetica.
[52] R. Dunford,et al. Analysis of Post-flood Recruitment Patterns in Braided-Channel Rivers at Multiple Scales Based on an Image Series Collected by Unmanned Aerial Vehicles, Ultra-light Aerial Vehicles, and Satellites , 2011 .
[53] J. Chandler,et al. Minimising systematic error surfaces in digital elevation models using oblique convergent imagery , 2011 .
[54] Arko Lucieer,et al. Assessing the Accuracy of Georeferenced Point Clouds Produced via Multi-View Stereopsis from Unmanned Aerial Vehicle (UAV) Imagery , 2012, Remote. Sens..
[55] M. Lapointe. River Geomorphology and Salmonid Habitat: Some Examples Illustrating their Complex Association, from Redd to Riverscape Scales , 2012 .
[56] Frank Vermeulen,et al. Mapping by matching: a computer vision-based approach to fast and accurate georeferencing of archaeological aerial photographs , 2012 .
[57] Arko Lucieer,et al. An Automated Technique for Generating Georectified Mosaics from Ultra-High Resolution Unmanned Aerial Vehicle (UAV) Imagery, Based on Structure from Motion (SfM) Point Clouds , 2012, Remote. Sens..
[58] W. Andrew Marcus,et al. Management Applications of Optical Remote Sensing in the Active River Channel , 2012 .
[59] S. Robson,et al. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application , 2012 .
[60] W. Marcus,et al. Remote Sensing of the Hydraulic Environment in Gravel‐Bed Rivers , 2012 .
[61] J. Travelletti,et al. UAV-based remote sensing of the Super-Sauze landslide : evaluation and results. , 2012 .
[62] Damià Vericat,et al. Through‐water terrestrial laser scanning of gravel beds at the patch scale , 2012 .
[63] M. Westoby,et al. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .
[64] C. Legleiter. Remote measurement of river morphology via fusion of LiDAR topography and spectrally based bathymetry , 2012 .
[65] Eija Honkavaara,et al. Point Cloud Generation from Aerial Image Data Acquired by a Quadrocopter Type Micro Unmanned Aerial Vehicle and a Digital Still Camera , 2012, Sensors.
[66] Remotely Sensed Topographic Change in Gravel Riverbeds with Flowing Channels , 2012 .
[67] Getting computer vision airborne: using structure from motion for accurate orthophoto production , 2012 .
[68] W. Marcus,et al. Making riverscapes real , 2012 .
[69] Patrice E. Carbonneau,et al. Geosalar: Innovative Remote Sensing Methods for Spatially Continuous Mapping of Fluvial Habitat at Riverscape Scale , 2012 .
[70] D. Feurer,et al. Airborne LiDAR Methods Applied to Riverine Environments , 2012 .
[71] Carl J. Legleiter,et al. MAPPING RIVER DEPTH FROM PUBLICLY AVAILABLE AERIAL IMAGES , 2013 .
[72] C. Hugenholtz,et al. Geomorphological mapping with a small unmanned aircraft system (sUAS): Feature detection and accuracy assessment of a photogrammetrically-derived digital terrain model , 2013 .
[73] Mark A. Fonstad,et al. Topographic structure from motion: a new development in photogrammetric measurement , 2013 .
[74] Carl J. Legleiter,et al. Mapping River Bathymetry With a Small Footprint Green LiDAR: Applications and Challenges 1 , 2013 .
[75] J. Brasington,et al. Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry , 2014 .
[76] C. Legleiter. A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 2. Application to restored and natural channels☆ , 2014 .
[77] Carl J. Legleiter,et al. A geostatistical framework for quantifying the reach-scale spatial structure of river morphology: 1. Variogram models, related metrics, and relation to channel form , 2014 .
[78] J. M.R,et al. UAV-based remote sensing of the Super-Sauze landslide : Evaluation and results , 2014 .
[79] Chris E. Jordan,et al. A methodological intercomparison of topographic survey techniques for characterizing wadeable streams and rivers , 2014 .
[80] J. Brasington,et al. Hyperscale terrain modelling of braided rivers: fusing mobile terrestrial laser scanning and optical bathymetric mapping , 2014 .
[81] Damià Vericat,et al. EVALUATING SHALLOW‐WATER BATHYMETRY FROM THROUGH‐WATER TERRESTRIAL LASER SCANNING UNDER A RANGE OF HYDRAULIC AND PHYSICAL WATER QUALITY CONDITIONS , 2014 .