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Digital elevation data for estimation of potential wetness in ridged fields - Comparison of two different methods

Pilesjö, Petter LU ; Persson, Andreas LU and Harrie, Lars LU orcid (2006) In Agricultural Water Management 79(3). p.225-247
Abstract
The aim of this study was to develop, adjust and test two different methods for the estimation of drainage area and potential wetness in ridged fields. The methods were applied to a gridded digital elevation model (DEM) of a potato field in central Sweden. Elevation data were registered by a global positioning system (GPS) receiver. A high-precision real time kinematic (RTK) system was used to record positions both horizontally and vertically. The study can be divided into four parts. First, we present the two different methods of estimating the drainage area and potential wetness. The potential wetness index used is 1n(a/tan beta), which is directly related to drainage area. Second, we constructed a high-accuracy DEM based on GPS-measured... (More)
The aim of this study was to develop, adjust and test two different methods for the estimation of drainage area and potential wetness in ridged fields. The methods were applied to a gridded digital elevation model (DEM) of a potato field in central Sweden. Elevation data were registered by a global positioning system (GPS) receiver. A high-precision real time kinematic (RTK) system was used to record positions both horizontally and vertically. The study can be divided into four parts. First, we present the two different methods of estimating the drainage area and potential wetness. The potential wetness index used is 1n(a/tan beta), which is directly related to drainage area. Second, we constructed a high-accuracy DEM based on GPS-measured elevation points. We then modelled the GPS errors and the sampling errors in the DEM. Finally, we used a Monte Carlo simulation to test differences between the two methods of estimating the drainage area and potential wetness. The wetness index for the new method, which takes ridges into account, differs both statistically and visually from the first method, which does not incorporate ridges. The new method, incorporating ridges, is thus strongly recommended for hydrological modelling in ridged agricultural fields. (c) 2005 Elsevier B.V. All rights reserved. (Less)
Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
ridged fields, DEM, surface water modelling, topographic form, index, wetness
in
Agricultural Water Management
volume
79
issue
3
pages
225 - 247
publisher
Elsevier
external identifiers
  • wos:000235262000002
  • scopus:30344434028
ISSN
1873-2283
DOI
10.1016/j.agwat.2005.02.017
language
English
LU publication?
yes
id
8414c5cf-e30e-4d80-88c1-11533d567798 (old id 418016)
date added to LUP
2016-04-01 12:08:34
date last changed
2020-01-22 02:45:29
@article{8414c5cf-e30e-4d80-88c1-11533d567798,
  abstract     = {The aim of this study was to develop, adjust and test two different methods for the estimation of drainage area and potential wetness in ridged fields. The methods were applied to a gridded digital elevation model (DEM) of a potato field in central Sweden. Elevation data were registered by a global positioning system (GPS) receiver. A high-precision real time kinematic (RTK) system was used to record positions both horizontally and vertically. The study can be divided into four parts. First, we present the two different methods of estimating the drainage area and potential wetness. The potential wetness index used is 1n(a/tan beta), which is directly related to drainage area. Second, we constructed a high-accuracy DEM based on GPS-measured elevation points. We then modelled the GPS errors and the sampling errors in the DEM. Finally, we used a Monte Carlo simulation to test differences between the two methods of estimating the drainage area and potential wetness. The wetness index for the new method, which takes ridges into account, differs both statistically and visually from the first method, which does not incorporate ridges. The new method, incorporating ridges, is thus strongly recommended for hydrological modelling in ridged agricultural fields. (c) 2005 Elsevier B.V. All rights reserved.},
  author       = {Pilesjö, Petter and Persson, Andreas and Harrie, Lars},
  issn         = {1873-2283},
  language     = {eng},
  number       = {3},
  pages        = {225--247},
  publisher    = {Elsevier},
  series       = {Agricultural Water Management},
  title        = {Digital elevation data for estimation of potential wetness in ridged fields - Comparison of two different methods},
  url          = {http://dx.doi.org/10.1016/j.agwat.2005.02.017},
  doi          = {10.1016/j.agwat.2005.02.017},
  volume       = {79},
  year         = {2006},
}