Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring
Spatio-temporal measurements of landform evolution provide the basis for process-based theory formulation and validation. Over time, field measurements of landforms have increased significantly worldwide, driven primarily by the availability of new surveying technologies. However, there is no st...
Main Authors: | , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2017-07-01
|
Series: | Earth Surface Dynamics |
Online Access: | https://www.earth-surf-dynam.net/5/347/2017/esurf-5-347-2017.pdf |
id |
doaj-8fdc80c430584fdab1a04cd59aafcb0e |
---|---|
record_format |
Article |
spelling |
doaj-8fdc80c430584fdab1a04cd59aafcb0e2020-11-25T01:01:36ZengCopernicus PublicationsEarth Surface Dynamics2196-63112196-632X2017-07-01534736710.5194/esurf-5-347-2017Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoringR. R. Wells0H. G. Momm1C. Castillo2National Sedimentation Laboratory, Agricultural Research Service, United States Department of Agriculture, Oxford, Mississippi 38655, USADepartment of Geosciences, Middle Tennessee State University, Murfreesboro, Tennessee 37132, USADepartment of Rural Engineering, University of Córdoba, Córdoba, SpainSpatio-temporal measurements of landform evolution provide the basis for process-based theory formulation and validation. Over time, field measurements of landforms have increased significantly worldwide, driven primarily by the availability of new surveying technologies. However, there is no standardized or coordinated effort within the scientific community to collect morphological data in a dependable and reproducible manner, specifically when performing long-term small-scale process investigation studies. Measurements of the same site using identical methods and equipment, but performed at different time periods, may lead to incorrect estimates of landform change as a result of three-dimensional registration errors. This work evaluated measurements of an ephemeral gully channel located on agricultural land using multiple independent survey techniques for locational accuracy and their applicability in generating information for model development and validation. Terrestrial and unmanned aerial vehicle photogrammetry platforms were compared to terrestrial lidar, defined herein as the reference dataset. Given the small scale of the measured landform, the alignment and ensemble equivalence between data sources was addressed through postprocessing. The utilization of ground control points was a prerequisite to three-dimensional registration between datasets and improved the confidence in the morphology information generated. None of the methods were without limitation; however, careful attention to project preplanning and data nature will ultimately guide the temporal efficacy and practicality of management decisions.https://www.earth-surf-dynam.net/5/347/2017/esurf-5-347-2017.pdf |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
R. R. Wells H. G. Momm C. Castillo |
spellingShingle |
R. R. Wells H. G. Momm C. Castillo Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring Earth Surface Dynamics |
author_facet |
R. R. Wells H. G. Momm C. Castillo |
author_sort |
R. R. Wells |
title |
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
title_short |
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
title_full |
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
title_fullStr |
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
title_full_unstemmed |
Quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
title_sort |
quantifying uncertainty in high-resolution remotely sensed topographic surveys for ephemeral gully channel monitoring |
publisher |
Copernicus Publications |
series |
Earth Surface Dynamics |
issn |
2196-6311 2196-632X |
publishDate |
2017-07-01 |
description |
Spatio-temporal measurements of landform evolution provide the
basis for process-based theory formulation and validation. Over time, field
measurements of landforms have increased significantly worldwide, driven
primarily by the availability of new surveying technologies. However, there
is no standardized or coordinated effort within the scientific
community to collect morphological data in a dependable and reproducible
manner, specifically when performing long-term small-scale process
investigation studies. Measurements of the same site using identical methods
and equipment, but performed at different time periods, may lead to incorrect
estimates of landform change as a result of three-dimensional registration
errors. This work evaluated measurements of an ephemeral gully channel
located on agricultural land using multiple independent survey techniques for
locational accuracy and their applicability in generating information for model
development and validation. Terrestrial and unmanned aerial vehicle
photogrammetry platforms were compared to terrestrial lidar, defined herein
as the reference dataset. Given the small scale of the measured landform,
the alignment and ensemble equivalence between data sources was addressed through postprocessing. The utilization of ground control points
was a
prerequisite to three-dimensional registration between datasets and improved
the
confidence in the morphology information generated. None of the methods
were without limitation; however, careful attention to project preplanning
and data nature will ultimately guide the temporal efficacy and practicality of
management decisions. |
url |
https://www.earth-surf-dynam.net/5/347/2017/esurf-5-347-2017.pdf |
work_keys_str_mv |
AT rrwells quantifyinguncertaintyinhighresolutionremotelysensedtopographicsurveysforephemeralgullychannelmonitoring AT hgmomm quantifyinguncertaintyinhighresolutionremotelysensedtopographicsurveysforephemeralgullychannelmonitoring AT ccastillo quantifyinguncertaintyinhighresolutionremotelysensedtopographicsurveysforephemeralgullychannelmonitoring |
_version_ |
1725208389350326272 |