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
(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:
https://lup.lub.lu.se/record/418016
- author
- Pilesjö, Petter
LU
; Persson, Andreas
LU
and Harrie, Lars
LU
- organization
- publishing date
- 2006
- 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
- 2022-03-13 05:55:44
@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}},
keywords = {{ridged fields; DEM; surface water modelling; topographic form; index; wetness}},
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}},
}