Journal of Food, Agriculture and Environment

The influence of source data density for generating digital elevation models 

Author(s):

Lei Wang ^{1, 2}*, Qinke Yang ^{1, 2}, Yongqin Long ², Weiling Guo ¹, Chunmei Wang ^{1, 2}

Recieved Date: 2012-10-09, Accepted Date: 2013-01-16

Abstract:

Digital elevation models have been used in many fields of research related to terrain analysis. The number of source point data in interpolating DEMs is an important factor influencing the quality of DEMs. In order to analyze the influence of source data density for the quality of DEMs, two series of DEMs which have different grid size, ANUDEMs and TIN-DEMs, are generated by the data with different source point densities, which are extracted from aero photos by digital photogrammetric method. The analysis for the relationship between grid size and RMSE of elevation shows that 2.5 m is an appropriate size for building DEM at 1:10,000 scale levels. Another result about relationship among source point density, grid size and RMSE of elevation is that the key point density for building DEMs, with which RMSE of elevation is higher than 2 m and grid size is smaller than 5 m, should be more than 7000 per km² for ANUDEMs, and should be more than 8500 per km² for TIN-DEMs. 

Keywords:

Digital elevation models, source data density, grid size, RMSE of elevation

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Journal: Journal of Food, Agriculture and Environment
Year: 2013
Volume: 11
Issue: 1
Category: Environment
Pages: 709-712

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