Monitoring river morphology & bank erosion using UAV imagery - A case study of the river Buëch, Hautes-Alpes, France
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Steven M. De Jong | Sven Hemmelder | Wouter Marra | Henk Markies | S. M. Jong | W. Marra | H. Markies | S. Hemmelder
[1] Maarten G. Kleinhans,et al. Human‐induced changes in bed shear stress and bed grain size in the River Waal (The Netherlands) during the past 900 years , 2009 .
[2] J. Gonçalves,et al. UAV photogrammetry for topographic monitoring of coastal areas , 2015 .
[3] E. Vannametee. Hydrograph prediction in ungauged basins: Development of a closure relation for Hortonian runoff , 2014 .
[4] Mike Kirkby,et al. Reconstructing flash flood magnitudes using ‘Structure-from-Motion’: A rapid assessment tool , 2014 .
[5] J. Dietrich. Riverscape mapping with helicopter-based Structure-from-Motion photogrammetry , 2016 .
[6] S. M. Jong,et al. High-resolution monitoring of Himalayan glacier dynamics using unmanned aerial vehicles , 2014 .
[7] L. Descroix,et al. Water erosion in the southern French alps: climatic and human mechanisms , 2002 .
[8] Lammert Kooistra,et al. Comparing RIEGL RiCOPTER UAV LiDAR Derived Canopy Height and DBH with Terrestrial LiDAR , 2017, Sensors.
[9] Ryan A. McManamay,et al. REGIONAL FRAMEWORKS APPLIED TO HYDROLOGY: CAN LANDSCAPE-BASED FRAMEWORKS CAPTURE THE HYDROLOGIC VARIABILITY? , 2011 .
[10] W. Marcus,et al. Making riverscapes real , 2012 .
[11] Carl J. Legleiter,et al. Mapping spatial patterns of stream power and channel change along a gravel-bed river in northern Yellowstone , 2016 .
[12] F. Liébault,et al. LONG PROFILE RESPONSES OF ALPINE BRAIDED RIVERS IN SE FRANCE , 2013 .
[13] Joseph M. Shea,et al. Seasonal surface velocities of a Himalayan glacier derived by automated correlation of unmanned aerial vehicle imagery , 2016, Annals of Glaciology.
[14] M. Westoby,et al. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .
[15] Simon Bennertz,et al. Combining UAV-based plant height from crop surface models, visible, and near infrared vegetation indices for biomass monitoring in barley , 2015, Int. J. Appl. Earth Obs. Geoinformation.
[16] Craig S. T. Daughtry,et al. Acquisition of NIR-Green-Blue Digital Photographs from Unmanned Aircraft for Crop Monitoring , 2010, Remote. Sens..
[17] Mark A. Fonstad,et al. Topographic structure from motion: a new development in photogrammetric measurement , 2013 .
[18] S. Robson,et al. Mitigating systematic error in topographic models derived from UAV and ground‐based image networks , 2014 .
[19] Jakub Langhammer,et al. Multitemporal Monitoring of the Morphodynamics of a Mid-Mountain Stream Using UAS Photogrammetry , 2015, Remote. Sens..
[20] Holger Schüttrumpf,et al. Today's sediment budget of the Rhine River channel, focusing on the Upper Rhine Graben and Rhenish Massif , 2014 .
[21] Simon Bennertz,et al. Estimating Biomass of Barley Using Crop Surface Models (CSMs) Derived from UAV-Based RGB Imaging , 2014, Remote. Sens..
[22] H. Hyyppä,et al. Modern empirical and modelling study approaches in fluvial geomorphology to elucidate sub-bend-scale meander dynamics , 2017 .
[23] Patrice E. Carbonneau,et al. Cost‐effective non‐metric photogrammetry from consumer‐grade sUAS: implications for direct georeferencing of structure from motion photogrammetry , 2017 .
[24] A. Tamminga,et al. Hyperspatial Remote Sensing of Channel Reach Morphology and Hydraulic Fish Habitat Using an Unmanned Aerial Vehicle (UAV): A First Assessment in the Context of River Research and Management , 2015 .
[25] Carlos Castillo,et al. Image-based surface reconstruction in geomorphometry - merits, limits and developments , 2016 .
[26] K. Oost,et al. Reproducibility of UAV-based earth topography reconstructions based on Structure-from-Motion algorithms , 2016 .
[27] J. Fryer,et al. Metric capabilities of low‐cost digital cameras for close range surface measurement , 2005 .
[28] Mark W. Smith,et al. Structure from motion photogrammetry in physical geography , 2016 .
[29] John P. Fulton,et al. An overview of current and potential applications of thermal remote sensing in precision agriculture , 2017, Comput. Electron. Agric..
[30] Arko Lucieer,et al. Time Series Analysis of Landslide Dynamics Using an Unmanned Aerial Vehicle (UAV) , 2015, Remote. Sens..
[31] J. Travelletti,et al. UAV-based remote sensing of the Super-Sauze landslide : evaluation and results. , 2012 .
[32] L. Descroix,et al. Sediment budget as evidence of land-use changes in mountainous areas : two stages of evolution , 2005 .
[33] B. G. Ruessink,et al. Coastal dune dynamics in response to excavated foredune notches , 2017 .
[34] G. W. Geerling,et al. Changing Rivers: Analysing fluvial landscape dynamics using remote sensing , 2008 .
[35] S. M. Jong,et al. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography , 2014 .
[36] S. M. Jong,et al. Object-based analysis of unmanned aerial vehicle imagery to map and characterise surface features on a debris-covered glacier , 2016 .
[37] Charles S. Melching,et al. River Dynamics and Integrated River Management , 2015 .
[38] J. R. Allen,et al. Principles of physical sedimentology , 1985 .
[39] Holger Schüttrumpf,et al. Fluvial sediment budget of a modern, restrained river: The lower reach of the Rhine in Germany , 2014 .
[40] M. Favalli,et al. Multiview 3D reconstruction in geosciences , 2012, Comput. Geosci..
[41] Naoya Takeishi,et al. Recent Developments in Aerial Robotics: A Survey and Prototypes Overview , 2017, ArXiv.