This study aims to compare advantages and disadvantages between detail surveying done with a drone (UAS) and GNSS equipment. Thus, in order to examine if detail surveying with UAS can be applicable for creating base maps in a more time efficient way. Aspects such as accuracy, environment, surroundings and ethics are shown consideration for. This was carried out by comparing data sampled from UAS flying and detailed surveying with GNSS. The flight altitude was 65 meters and the aerial photos were processed in Agisoft Metashape and ArcMap. GNSS was used to measure objects with high frequency, roughly 16 points per second and was later processed in GEO and ArcMap. Additional surveying was done with a total station in areas where the accuracy didn’t meet the requirements set by HMK. Establishment of free station was used when measuring with total station and the objects were then surveyed with a prism and direct measuring. Results that are relevant to this study are mainly RMS (Root Mean Square) and standard uncertainty. The results show that the time required for detailed surveying with UAS is 6 hours and 45 minutes, whilst for GNSS the time required is 8 hours and 30 minutes. Considering the RMS value and the standard uncertainty, the differences are marginally different. RMS value for UAS is 0.088 meters and standard uncertainty is 0.062 meters whilst for GNSS the RMS value is 0.084 meters and standard uncertainty is 0.058 meters. All measurements and results are within the 2nd standard level which are the requirements for a base map within an urban area. The results can be seen as reliable as the requirements set by HMK when practicing detailed surveying with UAS, GNSS and total station was followed. The time efficiency achieved when doing detailed surveying with UAS can make up for the increase in standard uncertainty as long as the results are within the recommendations set by HMK. Further studies could be applied to see how similar surveying results could look in areas with different environments and different sizes.
Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:kau-91937 |
Date | January 2022 |
Creators | Forsberg, Axel, Werner Koning, Sebastian |
Publisher | Karlstads universitet, Fakulteten för hälsa, natur- och teknikvetenskap (from 2013) |
Source Sets | DiVA Archive at Upsalla University |
Language | Swedish |
Detected Language | English |
Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
Format | application/pdf |
Rights | info:eu-repo/semantics/openAccess |
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