In this thesis, the main research question: ”Which visualisation techniques of remote sensed data results in the best visibility of Neolithic Circular Enclosures” is investi- gated. To answer this...Show moreIn this thesis, the main research question: ”Which visualisation techniques of remote sensed data results in the best visibility of Neolithic Circular Enclosures” is investi- gated. To answer this question, multiple visualisations were performed on a dataset of 75 sites where NCEs are confirmed or expected to be located. Two types of remote sensing data were used for this investigation. RGBN and LIDAR recordings. At the sites where neolithic circular enclosures were visible, each visualisation technique used was given a score of between 0 (not visible) to 3 (clearly visible). An attempt was made to quantify visibility through automated contrasts measurements, but this was ultimately unsuccessful. However, the approach might inspire or be used as a base for further research. Next, the mean, standard deviation and score distribution of the human quantification were were calculated of the scores per visualisation technique and remote sensing data type. This study showed that the MSTPv3 visualisation scored best among all visualisa- tion techniques. However, other visualisations also score well. These include within the multispectral data the RGB, NIR and NDVI visualisations, and for the LIDAR data all but the local dominance visualisation. For this reason, it is recommended to design some kind of cross-referencing system that could potentially confirm new sites found with the MSTPv3 with other visualisation techniques.Show less
