Open AccessReliability assessment of three topographic methods for generating digital elevation models (DEMs)
Author(s) -
Rodrigo Roblero-Hidalgo,
Jorge Flores-Velázquez,
Jesús ChávezMorales,
Aurelio Reyes-Ramírez
Publication year - 2020
Publication title -
ingeniería agrícola y biosistemas (en línea)/ingeniería agrícola y biosistemas
Language(s) - English
Resource type - Journals
eISSN - 2007-4026
pISSN - 2007-3925
DOI - 10.5154/r.inagbi.2020.01.005
Subject(s) - digital elevation model , elevation (ballistics) , photogrammetry , terrain , global positioning system , remote sensing , computer science , contour line , reliability (semiconductor) , aerial survey , satellite , digital mapping , cartography , geography , mathematics , telecommunications , power (physics) , physics , geometry , quantum mechanics , aerospace engineering , engineering
A digital elevation model (DEM) allows for the analysis of specific features on the earth’s surface in three dimensions. The engineering DEM is useful to evaluate resources and design management strategies. Objective: To evaluate the technical-operational feasibility of generating DEMs from total station (TS) topographic surveys, GPS RTK and aerial photogrammetry using an unmanned aerial vehicle (UAV). Methodology: A 20x20 m grid was traced in a plot without vegetation (1.4 ha) located in Montecillo, Estado de México, and topographic surveys were carried out with three methods, from which DEMs were generated for graphic and statistical evaluation and by tracing contour lines. Results: The estimated statistical errors were 0.15, 0.15 and 0.02 m, for TS vs. UAV, GPS RTK vs. UAV and TS vs. GPS RTK, respectively. Study limitations: The instruments used and the geographical conditions of central Mexico may be a reason for variation when extrapolating the results with other devices. Originality: A methodology is provided to generate DEMs accurately. The results allow the user to make reasoned choices based on the equipment available. Conclusion: The DEMs generated with TS and GPS RTK data have a smaller error than the one obtained from UAVs. The use of UAV helps in the representation of the terrain, since it generates a dense cloud of points that strengthens the procedure for topographic surveys.