Two decades of digital photogrammetry: Revisiting Chandler’s 1999 paper on “Effective application of automated digital photogrammetry for geomorphological research” – a synthesis
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[1] James P. McNamara,et al. An approach to understanding hydrologic connectivity on the hillslope and the implications for nutrient transport , 2003 .
[2] M. Jadamec,et al. The role of rheology and slab shape on rapid mantle flow: Three‐dimensional numerical models of the Alaska slab edge , 2012 .
[3] Erle C. Ellis,et al. Remote Sensing of Vegetation Structure Using Computer Vision , 2010, Remote. Sens..
[4] A. Kaiser,et al. Feasibility of High-Resolution Soil Erosion Measurements by Means of Rainfall Simulations and SfM Photogrammetry , 2016 .
[5] S. Lane,et al. Structure from motion (SFM) photogrammetry , 2015 .
[6] L. Wallace,et al. Assessment of Forest Structure Using Two UAV Techniques: A Comparison of Airborne Laser Scanning and Structure from Motion (SfM) Point Clouds , 2016 .
[7] Marc Olano,et al. Optimal Altitude, Overlap, and Weather Conditions for Computer Vision UAV Estimates of Forest Structure , 2015, Remote. Sens..
[8] S. Robson,et al. Mitigating systematic error in topographic models derived from UAV and ground‐based image networks , 2014 .
[9] Toby N. Tonkin,et al. Ground-Control Networks for Image Based Surface Reconstruction: An Investigation of Optimum Survey Designs Using UAV Derived Imagery and Structure-from-Motion Photogrammetry , 2016, Remote. Sens..
[10] Luis Alonso,et al. Angular Dependency of Hyperspectral Measurements over Wheat Characterized by a Novel UAV Based Goniometer , 2015, Remote. Sens..
[11] Mark W. Smith,et al. Structure from motion photogrammetry in physical geography , 2016 .
[12] Dimitri Lague,et al. 3D Terrestrial LiDAR data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology , 2011, ArXiv.
[13] A. Klik,et al. Soil surface roughness measurement—methods, applicability, and surface representation , 2005 .
[14] Anette Eltner,et al. Time lapse structure‐from‐motion photogrammetry for continuous geomorphic monitoring , 2017 .
[15] Marco Diani,et al. Real-time 3D reconstruction from images taken from an UAV , 2015 .
[16] Massimiliano Favalli,et al. Rapid Updating and Improvement of Airborne LIDAR DEMs Through Ground-Based SfM 3-D Modeling of Volcanic Features , 2016, IEEE Transactions on Geoscience and Remote Sensing.
[17] Mozhdeh Shahbazi,et al. Uav-Based Point Cloud Generation for Open-Pit Mine Modelling , 2015 .
[18] Erle C. Ellis,et al. High spatial resolution three-dimensional mapping of vegetation spectral dynamics using computer vision , 2013 .
[19] Mike J. Smith,et al. Cameras and settings for aerial surveys in the geosciences , 2017 .
[20] Wim Klaassen,et al. The contribution of ocean‐leaving DMS to the global atmospheric burdens of DMS, MSA, SO2, and NSS SO4= , 2003 .
[21] Russell G. Congalton,et al. Issues in Unmanned Aerial Systems (UAS) Data Collection of Complex Forest Environments , 2018, Remote. Sens..
[22] J. Chandler,et al. Variability of interrill erosion at low slopes , 2011 .
[23] Rob Jamieson,et al. Sensitivity of DEM, slope, aspect and watershed attributes to LiDAR measurement uncertainty. , 2016 .
[24] S. Robson,et al. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application , 2012 .
[25] Arko Lucieer,et al. Direct Georeferencing of Ultrahigh-Resolution UAV Imagery , 2014, IEEE Transactions on Geoscience and Remote Sensing.
[26] Andrew M. Cunliffe,et al. Ultra-fine grain landscape-scale quantification of dryland vegetation structure with drone-acquired structure-from-motion photogrammetry , 2016 .
[27] J. Chandler. Effective application of automated digital photogrammetry for geomorphological research: Earth Surf , 1999 .
[28] D. Rieke-Zapp,et al. Rill development and soil erosion: a laboratory study of slope and rainfall intensity , 2010 .
[29] S. Robson,et al. Optimising UAV topographic surveys processed with structure-from-motion: Ground control quality, quantity and bundle adjustment , 2016 .
[30] M. Westoby,et al. ‘Structure-from-Motion’ photogrammetry: A low-cost, effective tool for geoscience applications , 2012 .
[31] Tetsuji Ota,et al. Aboveground Biomass Estimation Using Structure from Motion Approach with Aerial Photographs in a Seasonal Tropical Forest , 2015 .
[32] Peter F. Fisher,et al. Causes and consequences of error in digital elevation models , 2006 .
[33] S. Robson,et al. 3‐D uncertainty‐based topographic change detection with structure‐from‐motion photogrammetry: precision maps for ground control and directly georeferenced surveys , 2017 .
[34] C. Ginzler,et al. Snow depth mapping in high-alpine catchments using digital photogrammetry , 2015 .
[35] Adam J. Mathews,et al. Visualizing and Quantifying Vineyard Canopy LAI Using an Unmanned Aerial Vehicle (UAV) Collected High Density Structure from Motion Point Cloud , 2013, Remote. Sens..
[36] Danilo Schneider,et al. Analysis of Different Methods for 3D Reconstruction of Natural Surfaces from Parallel‐Axes UAV Images , 2015 .
[37] K. McGwire,et al. Assessing the performance of structure‐from‐motion photogrammetry and terrestrial LiDAR for reconstructing soil surface microtopography of naturally vegetated plots , 2016 .
[38] J. Fryer,et al. Metric capabilities of low‐cost digital cameras for close range surface measurement , 2005 .
[39] Heiner Kuhlmann,et al. Accuracy Analysis of a Multi-View Stereo Approach for Phenotyping of Tomato Plants at the Organ Level , 2015, Sensors.
[40] David J. Selkowitz,et al. An Automated Approach for Mapping Persistent Ice and Snow Cover over High Latitude Regions , 2015, Remote. Sens..
[41] Serge A. Wich,et al. Location, location, location: considerations when using lightweight drones in challenging environments , 2018 .
[42] Gerhard Krieger,et al. The global TanDEM-X DEM — A unique data set , 2017, 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).
[43] S. M. Jong,et al. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography , 2014 .
[44] John F. O'Callaghan,et al. The extraction of drainage networks from digital elevation data , 1984, Comput. Vis. Graph. Image Process..
[45] Farhad Samadzadegan,et al. EVALUATING THE POTENTIAL OF RTK-UAV FOR AUTOMATIC POINT CLOUD GENERATION IN 3D RAPID MAPPING , 2016 .
[46] P. Benaud. Exploring the multiple techniques available for developing an understanding of soil erosion in the UK , 2017 .