This bachelor thesis compare and contrast the recent development of automatic drumlin mapping. Historically, in Sweden and worldwide, drumlin mapping have been conducted manually using in field query, orthography or visual examinations of LIDAR data. The drumlin extraction analyst uses concentric contours to extract and quantify drumlin like features from LIDAR data. This mapping method and similar automatic and semi-automatic procedures have shown promising results. Here, the use of the drumlin extraction analyst is double. First it is evaluated as an automatic mapping method, the first known automatic mapping procedure applied on the Västerbotten landscape. Secondly, its fully automatic process with limited selections made within the script makes it appropriate to use as an evaluator of the drumlinization of the Västerbotten landscape. The main hypothesis is that the automatically extracted drumlins will only deviate significantly by size and parameters corresponding to size compared to the expert manual mappings of the area. This would, according to the author, indicate that chance plays a major role within the enquiry of these automatic methods. Test results from the Västerbotten landscape show that the automatic mapping have an accuracy of 4% when comparing these with expert mappings. About 200 drumlin like features previously undiscovered are found. When taking these into the consideration the accuracy increases to about 20%. Assuming the drumlin extraction analyst is highly capable of mapping every knob in the landscape, these results indicate that the chance of extracting drumlins from the glacial landscape should not be neglected.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-172703 |
| Date | January 2020 |
| Creators | Appelblad, Johan |
| Publisher | Umeå universitet, Institutionen för ekologi, miljö och geovetenskap |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| 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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