Articles | Volume 5, issue 3
Research article
06 Jul 2017
Research article |  | 06 Jul 2017

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

Robert R. Wells, Henrique G. Momm, and Carlos Castillo

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Cited articles

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.
Aronoff, S.: Remote Sensing for GIS Managers, ESRI Press, Redlands, California, USA, 63–65, 2005.
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.
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.
Bailey, T. C. and Gatrell, A. C.: Interactive Spatial Data Analysis, Longman, Harlow, 83–90, 1995.
Short summary
As technology presents a gateway to finer-resolution survey information, caution must be exercised in the evaluation of alignment error and subsequent morphological determinations. Three survey technologies were evaluated: ground-based photogrammetry, unmanned aerial vehicle photogrammetry, and ground-based lidar. Initial project planning necessitates the effective use of ground control to facilitate alignment and proper morphological conclusions.