Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring

Earth Surface Dynamics

Volumn 5, Issue 3, 2017, Pages 347-367

  Wells, Robert R ^a   Momm, Henrique G ^b   Castillo, Carlos ^c  

^a USDA ARS NATIONAL SEDIMENTATION LABORATORY   (United States)

^b MIDDLE TENNESSEE STATE UNIVERSITY   (United States)

^c UNIVERSITY OF CÓRDOBA   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

AGRICULTURAL LAND; DATA SET; GROUND CONTROL; GULLY; LANDFORM EVOLUTION; MODEL VALIDATION; PHOTOGRAMMETRY; REMOTE SENSING; SPATIOTEMPORAL ANALYSIS; SURVEYING; TOPOGRAPHY;

EID: 85022058903     PISSN: 21966311     EISSN: 2196632X     Source Type: Journal    
DOI: 10.5194/esurf-5-347-2017     Document Type: Article

References (54)

1. Aguilar, F. J., Aguera, F., Aguilar, M. A., and Carvajal, F.: Effects of terrain morphology, sampling density, and interpolation methods, Photogram. Eng. Remote Sens., 71, 805-816, 2005.
2. Aronoff, S.: Remote Sensing for GIS Managers, ESRI Press, Redlands, California, USA, 63-65, 2005.
3. Bachrach, A., Prentice, S., He, R., Henry, P., Huang, A. S., Krainin, M., Maturana, D., Fox, D., and Roy, N.: Estimation, planning, and mapping for autonomous flight using an RGB-D camera in GPS-denied environments, Int. J. Rob. Res., 31, 1320-1343, 2012.
4. Baddeley, A. and Turner, R.: Spatstat: An R package for analyzing metric estimation of interaction in inhomogeneous point pattern, Stat. Neerl., 54, 329-350, 2005.
5. Bailey, T. C. and Gatrell, A. C.: Interactive Spatial Data Analysis, Longman, Harlow, 83-90, 1995.
6. Bater, C. W. and Coops, N. C.: Evaluating error associated with lidar-derived DEM interpolation, Comp. Geosci., 35, 289-300, 2009.
7. Besl, P. and McKay, N.: A Method for Registration of 3-D Shapes, IEEE T. Pattern Anal., 14, 239-256, 1992.
8. Bivand, R. S., Pebesma, E. J., and Gomez-Rubio, V.: Applied Spatial Data Analysis with R, Springer, New York, New York, USA, 160-163, 2008.
9. Bry, A., Richter, C., Bachrach, A., and Roy, N.: Aggressive flight of fixed-wing and quadrotor aircraft in dense indoor environments, Int. J. Rob. Res., 37, 969-1002, 2015.
10. Casalí, J., Loizu, J., Campo, M. A., De Santisteban, L. M., and Álvarez-Mozos, J.: Accuracy of methods for field assessment of rill and ephemeral gully erosion, Catena, 67, 128-138, 2006.
11. Casalí, J., Giménez, R., and Campo-Bescos, M. A.: Gully geometry: what are we measuring?, SOIL, 1, 509-513, https://doi.org/10.5194/soil-1-509-2015, 2015.
12. Castillo, C. and Gómez, J. A.: A century of gully erosion research: urgency, complexity and study approaches, Earth-Sci. Rev., 160, 300-319, 2016.
13. Castillo, C., James, M. R., Redel-Macías, M. D., Pérez, R., and Gómez, J. A.: SF3M software: 3-D photo-reconstruction for nonexpert users and its application to a gully network, SOIL, 1, 583-594, https://doi.org/10.5194/soil-1-583-2015, 2015.
14. Castillo, C., Pérez, R., James, M. R., Quinton, J. N., Taguas, E. V., and Gómez, J. A.: Comparing the accuracy of several field methods for measuring gully erosion, Soil Sci. Soc. Am. J., 76, 1319-1332, https://doi.org/10.2136/sssaj2011.0390, 2012.
15. Cook, K. L.: An evaluation of the effectiveness of lowcost UAVs and structure from motion for geomorphic change detection, Geomorph., 278, 195-208, https://doi.org/10.1016/j.geomorph.2016.11.009, 2017.
16. Csanyi, N., Toth, C. K., Grejner-Brzezinska, D., and Ray, J.: Improvement of LiDAR data accuracy using LiDAR specific ground targets, Proceedings of the 2005 ASPRS Annual Conference, Baltimore, Maryland, USA, 7-11 March, 2005.
17. Dabney, S. M., Vieira, D. A. N., and Yoder, D. C.: Predicting ephemeral gully erosion with RUSLER and EphGEE, Proceedings of Sediment Dynamics from the Summit to the Sea symposium, New Orleans, Louisiana, USA, 11-14 December, 2014.
18. Di Stefano, C., Ferro, V., Palmeri, V., and Pampalone, V.: Testing the use of an image-based technique to measure gully erosion at Sparacia experimental area, Hydrol. Process., 31, 573-585, https://doi.org/10.1002/hyp.11048, 2017.
19. Dodd, M.: Where are my quadrats? Positional accuracy in fieldwork, Methods Ecol. Evol., 2, 576-584, https://doi.org/10.1111/j.2041-210x.2011.00118x, 2011.
20. Eitel, J. U. H., Williams, C. J., Vierling, L. A., Al-Hamdan, O. Z., and Pierson, F. B.: Suitability of terrestrial laser scanning for studying surface roughness effects on concentrated flow erosion processes in rangelands, Catena, 87, 398-407, 2011.
21. Eitel, J. U. H., Höfle, B., Vierling, L. A., Abellán, A., Asner, G. P., Deems, J. S., Glennie, C. L., Joerg, P. C., LeWinter, A. L., Magney, T. S., Mandlburger, G., Morton, D. C., Müller, J., and Vierling, K. T.: Beyond 3-D: The new spectrum of lidar applications for earth and ecological sciences, Remote Sens. Environ., 186, 372-392, 2016.
22. Eltner, A., Kaiser, A., Castillo, C., Rock, G., Neugirg, F., and Abellán, A.: Image-based surface reconstruction in geomorphometry - merits, limits and developments, Earth Surf. Dynam., 4, 359-389, https://doi.org/10.5194/esurf-4-359-2016, 2016.
23. ESRI: ArcGIS Desktop: Release 10, Redlands, CA, Environmental Systems Research Institute, available at: http://resources.arcgis.com/en/help/main/10.2/index.html#//00q900000016000000, last access: June 2016, 2011.
24. Foster, G. R.: Modeling ephemeral gully erosion for conservation planning, Int. J. Sed. Res., 20, 157-175, 2005.
25. Gesch, K. R., Wells, R. R., Cruise, R. M., Momm, H. G., and Dabney, S. M.: Quantifying uncertainty of measuring gully morphological evolution with close-range digital photogrammetry, Soil Sci. Soc. Am. J., 79, 650-659, 2015.
26. Gómez-Gutiérrez, A., Schnabel, S. Berenguer-Sempere, F., Lavado-Contador, F., and Rubio-Delgado, J.: Using 3D photoreconstruction methods to estimate gully headcut erosion, Catena, 120, 91-101, 2014.
27. Hawdon, A. A., Wilkinson, S. N., Kinsey-Henderson, A. E., Goodwin, N., Bartley, R., and Baker, B. W.: Rapid acquisition of gully topography using a mobile, handheld laser scanner, Proceedings of the 7th International Symposium on Gully Erosion, West Lafayette, Indiana, USA, 23-27 May, 2016.
28. Hodgson, M. E. and Bresnahan, P.: Accuracy of Airborne Lidar-Derived Elevation: Empirical Assessment and Error Budget, Photogram. Eng. Remote Sens., 70, 331-339, 2004.
29. Honkavaara, E., Eskelinen, M. A., Pölönen, I., Saari, H., Ojanen, H., Mannila, R., Holmlund, C., Hakala, T., Litkey, P., Rosnell, T., Vijanen, N., and Pulkanen, M.: Remote sensing of 3-D geometry and surface moisture of a peat production area using hyperspectral frame cameras in visible to short-wave infrared spectral ranges onboard a small unmanned airborne vehicle (UAV), IEEE T. Geosci. Remote, 54, 5440-5454, 2016.
30. James, M. R. and Robson, S.: Straightforward reconstruction of 3-D surfaces and topography with a camera: Accuracy and geoscience application, J. Geophys. Res., 117, F03017, https://doi.org/10.1029/2011JF002289, 2012.
31. James, M. R. and Robson, S.: Mitigating systematic error in topographic models derived from UAV and ground-based image networks, Earth Surf. Proc. Land., 39, 1413-1420, 2014.
32. Kienzle, S.: The effect of DEM raster resolution on first order, second order, and compound terrain derivatives, Trans. GIS, 8, 83-111, 2004.
33. Kukko, A., Kaartinen, H., Hyyppä, J., and Chen, Y.: Multiplatform mobile laser scanning: usability and performance, Sensors, 12, 11712-11733, 2012.
34. Lloyd, C. D.: Spatial Data Analysis - An Introduction for GIS Users, Oxford University Press, New York, NY, USA, 2010.
35. Marzolff, I.: Advances in image-based measuring and monitoring of gully erosion, Proceedings of the 7th International Symposium on Gully Erosion, West Lafayette, Indiana, USA, 23-27 May, 2016.
36. Marzolff, I. and Poesen, J.: The potential of 3D gully monitoring with GIS using high-resolution aerial photography and a digital photogrammetry system, Geomorphology, 111, 48-60, 2009.
37. Marzolff, I., Ries, J. B., and Albert, K.-D.: Kite aerial photography for gully monitoring in Sahelian landscapes, Proceedings of the Second Workshop of the EARSel, Special Interest Group on Remote Sensing for Developing Countries, 18-20 September, 2002, Bonn, Germany, CD-ROM publication, 2003.
38. Micheletti, N., Chandler, J. H., and Lane, S. N.: Investigating the geomorphological potential of freely available and accessible structure-from-motion photogrammetry using a smart phone, Earth Surf. Process. Land., 40, 473-486, 2015.
39. Milenković, M., Pfeifer, N., and Glira, P.: Applying terrestrial laser scanning for soil surface roughness assessment, Remote Sens., 7, 2007-2045, 2015.
40. Momm, H. G., Bingner, R. L., Wells, R. R., and Dabney, S. M.: Methods for Gully Characterization in Agricultural Croplands using Ground-Based Light Detection and Ranging, Sediment Transport - Flow and Morphological Processes, edited by: ABM Faruk Bhuiyan, InTech, 101-124, 2011.
41. Momm, H. G., Bingner, R. L., Wells, R. R., Dabney, S. M., and Frees, L. D.: Effect of Terrestrial LiDAR Point Sampling Density in Ephemeral Gully Characterization, Open J. Modern Hydrol., 3, 38-49, 2013a.
42. Momm, H. G., Bingner, R. L., Wells, R. R., Rigby, J. R., and Dabney, S. M.: Effect of topographic characteristics on compound topographic index for identification of gully channel initiation locations, Trans. ASABE, 56, 523-537, 2013b.
43. Piermattei, L., Carturan, L., de Blasi, F., Tarolli, P., Dalla Fontana, G., Vettore, A., and Pfeifer, N.: Suitability of ground-based SfMMVS for monitoring glacial and periglacial processes, Earth Surf. Dynam., 4, 425-443, https://doi.org/10.5194/esurf-4-425-2016, 2016.
44. Ries, J. B. and Marzolff, I.: Monitoring of gully erosion in the Central Ebro Basin by large-scale aerial photography taken from a remotely controlled blimp, Catena, 50, 309-328, 2003.
45. Rietdorf, A., Daub, C., and Loef, P.: Precise positioning in real-time using navigation satellites and telecommunication, Proceedings of the 3rd Workshop on Positioning and Communication, Hannover, Germany, 16 March 2006, 2006.
46. Smith, M. W. and Vericat, D.: From experimental plots to experimental landscapes: topography, erosion and deposition in subhumid badlands from structure-from-motion photogrammetry, Earth Surf. Process. Land., 40, 1656-1671, 2015.
47. Soil Science Society of America: Glossary of soil science terms, Madison: Soil Science Society of America, 19 pp., 2008.
48. Vinci, A., Brgante, R., Todisco, F., Mannocchi, F., and Radicioni, F.: Measuring rill erosion by laser scanning, Catena, 124, 97-108, https://doi.org/10.1016/j.catena.2014.09.003, 2015.
49. Wehr, A. and Lohr, U.: Airborne laser scanning - An introduction and overview, ISPRS J. Photogram., 54, 68-82, 1999.
50. Wells, R. R., Momm, H. G., Bennett, S. J., Gesch, K. R., Dabney, S. M., Cruse, R., and Wilson, G. V.: A measurement method for rill and ephemeral gully erosion assessments, Soil Sci. Soc. Am. J., 80, 203-3214, 2016.
51. Wheaton, J. M., Brasington, J., Darby, S. E., and Sear, D. A.: Accounting for uncertainty in DEMs from repeat topographic surveys: improved sediment budgets, Earth Surf. Process. Land., 35, 136-156, 2010.
52. Zevenbergen, L.: Modelling erosion using terrain analysis. Ph.D. thesis. London, UK, Department of Geography and Earth Science, Queen Mary College, University of London, 1-345, 1989.
53. Zhang, W. and Montgomery, D. R.: Digital elevation model grid size, landscape representation, and hydrologic simulations, Water Resour. Res., 30, 1019-1028, 1994.
54. Ziadat, F. M.: Effect of contour intervals and grid cell size on the accuracy of DEMs and slope derivatives, Trans. GIS, 11, 67-81, 2007.