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Comparison of DEM Data Capture and Topographic Wetness Indices

Schmidt, Frank and Persson, Andreas LU (2003) In Precision Agriculture 4(2). p.179-192
Abstract
Digital elevation models (DEMs) can be captured and analysed by various methods. Elevation capturing with RTK-GPS and airborne laser scanning is presented and evaluated in terms of height accuracy of raw data and interpolated DEMs for study sites in Sweden and Germany. Applications for precision agriculture are based on the connection of land surface and the movement of water in the landscape. Three methods of deriving potential flow accumulation from DEMs are discussed. Results indicate that the Topographic Wetness Index can be used to assess the pattern of potential soil moisture on a field and changes in soil texture caused by erosion processes. The quality of the soil moisture assessment varies with both flow algorithm and terrain... (More)
Digital elevation models (DEMs) can be captured and analysed by various methods. Elevation capturing with RTK-GPS and airborne laser scanning is presented and evaluated in terms of height accuracy of raw data and interpolated DEMs for study sites in Sweden and Germany. Applications for precision agriculture are based on the connection of land surface and the movement of water in the landscape. Three methods of deriving potential flow accumulation from DEMs are discussed. Results indicate that the Topographic Wetness Index can be used to assess the pattern of potential soil moisture on a field and changes in soil texture caused by erosion processes. The quality of the soil moisture assessment varies with both flow algorithm and terrain characteristics. Correlations up to r2 = 0.64 were found. Best results were obtained on undulating farmland using the DEMON algorithm and a formbased approach. However, in areas with low relief, the concept did not lead to valuable soil moisture maps. (Less)
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author
publishing date
type
Contribution to journal
publication status
published
subject
keywords
topography, DTM, GPS, laser scanning, wetness index
in
Precision Agriculture
volume
4
issue
2
pages
179 - 192
publisher
Springer
external identifiers
  • scopus:0042701869
ISSN
1385-2256
language
English
LU publication?
no
id
db1a9f51-d122-4cd9-9c43-8f4cced81eb3 (old id 591889)
date added to LUP
2007-12-17 11:17:46
date last changed
2018-02-18 03:48:28
@article{db1a9f51-d122-4cd9-9c43-8f4cced81eb3,
  abstract     = {Digital elevation models (DEMs) can be captured and analysed by various methods. Elevation capturing with RTK-GPS and airborne laser scanning is presented and evaluated in terms of height accuracy of raw data and interpolated DEMs for study sites in Sweden and Germany. Applications for precision agriculture are based on the connection of land surface and the movement of water in the landscape. Three methods of deriving potential flow accumulation from DEMs are discussed. Results indicate that the Topographic Wetness Index can be used to assess the pattern of potential soil moisture on a field and changes in soil texture caused by erosion processes. The quality of the soil moisture assessment varies with both flow algorithm and terrain characteristics. Correlations up to r2 = 0.64 were found. Best results were obtained on undulating farmland using the DEMON algorithm and a formbased approach. However, in areas with low relief, the concept did not lead to valuable soil moisture maps.},
  author       = {Schmidt, Frank and Persson, Andreas},
  issn         = {1385-2256},
  keyword      = {topography,DTM,GPS,laser scanning,wetness index},
  language     = {eng},
  number       = {2},
  pages        = {179--192},
  publisher    = {Springer},
  series       = {Precision Agriculture},
  title        = {Comparison of DEM Data Capture and Topographic Wetness Indices},
  volume       = {4},
  year         = {2003},
}