Measuring the accuracy of contour interpolated digital elevation models |
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| Authors: | Arabinda Sharma K N Tiwari P B S Bhadoria |
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| Institution: | (1) Punjab Forest Department, Lahore, Pakistan;(2) Institute of Geology, University of the Punjab (PU), Lahore, Pakistan;(3) Key Laboratory of Arid and Grassland Agroecology of Ministry of Education, Lanzhou University, Lanzhou, China;(4) Max Planck Institute for Biogeochemistry, Jena, Germany;(5) Present address: Alfred Wegener Institute for Polar and Marine Research, Potsdam, Germany;(6) Present address: Centre for Forest Conservation Genetics, Department of Forest Sciences, University of British Columbia (UBC), Vancouver, Canada |
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| Abstract: | Digital elevation models (DEM) are becoming increasingly important as tools in hydrological research and water resources management.
Since error and uncertainty are inherently associated with spatial data, a complete evaluation of a DEM is of utmost importance
before it is put into subsequent analysis. The present paper offers an innovative approach for quality assessment of contour
interpolated DEMs of different resolutions. Five most frequently cited interpolation methods viz., TIN with linear interpolation,
Inverse Distance Weighing, Thin Plate Spline, Ordinary Kriging and TOPOGRID were selected for gridding of contours at five
different resolutions i.e., 30m, 45m, 60m, 75m and 90m. In order to compare the quality of interpolated DEMs, a qualitative
and quantitative evaluation of inter-polated DEMs for their vertical, horizontal and shape accuracy were carried out. It was
found that different interpolation methods produced DEMs with different levels of artifacts. The analyses of vertical accuracy
suggested that the variations were not pronounced in nature. However, the quantitative comparisons for horizontal and shape
accuracy showed that there was a high level of disparity with significant differences among the interpolated DEMs. |
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