Manual mapping of drumlins in synthetic landscapes to assess operator effectiveness
Mapped topographic features are important for understanding processes that sculpt the Earth's surface. This paper presents maps that are the primary product of an exercise that brought together 27 researchers with an interest in landform mapping wherein the efficacy and causes of variation in mapping were tested using novel synthetic DEMs containing drumlins. The variation between interpreters (e.g. mapping philosophy, experience) and across the study region (e.g. woodland prevalence) opens these factors up to assessment. A priori known answers in the synthetics increase the number and strength of conclusions that may be drawn with respect to a traditional comparative study. Initial results suggest that overall detection rates are relatively low (34–40%), but reliability of mapping is higher (72–86%). The maps form a reference dataset
Authors: Hillier, J.K., Smith, M.J., Armugam, R., Barr, I., Boston, C.M., Clark, C.D., Ely, J., Fankl, A., Greenwood, S.L., Gosselin, L., Hättestrand, C., Hogan, K. ORCID record for K. Hogan, Hughes, A.L.C., Livingstone, S.J., Lovell, H., McHenry, M., Munoz, Y., Pellicer, X.M., Pellitero, R., Robb, C., Roberson, S., Ruther, D., Spagnolo, M., Standell, M., Stokes, C.R., Storrar, R., Tate, N.J., Wooldridge, K.
Privacy & Cookies Policy
Necessary cookies are absolutely essential for the website to function properly. This category only includes cookies that ensures basic functionalities and security features of the website. These cookies do not store any personal information.
Any cookies that may not be particularly necessary for the website to function and is used specifically to collect user personal data via analytics, ads, other embedded contents are termed as non-necessary cookies. It is mandatory to procure user consent prior to running these cookies on your website.