Photogrammetric sand grainsize analysis of a circumnavigational sampling of beaches of the big island of Hawaii: possible insight into controlling processes and provenance

Crandall, Kurt

Photogrammetric sand grainsize analysis of a circumnavigational sampling of beaches of the big island of Hawaii: possible insight into controlling processes and provenance

dc.contributor.advisor	Pigott, John
dc.contributor.author	Crandall, Kurt
dc.contributor.committeeMember	Pigott, Kulwadee
dc.contributor.committeeMember	Dulin, Shannon
dc.date.accessioned	2021-12-08T19:56:30Z
dc.date.available	2021-12-08T19:56:30Z
dc.date.issued	2021
dc.date.manuscript	2021-11-07
dc.description.abstract	A circumnavigational photogrammetric sampling of the sands on the island of Hawai’I was done using the photogrammetry program pyDGS. The island of Hawai’i provides a perfect landscape to test the viability of pyDGS since it is a small island whose beaches are accessible, and which are subject to predictable weather and climate effects. A total of 18 beaches were chosen, taking photographs of transects at each beach. After calibrating standards and comparing them to the sands on Hawaii, this study found that pyDGS is a viable alternative to conventional grain-size analysis techniques, when correctly tuned and adjusted. Moreover, key findings conclude that weather and climate are driving factors in sand distribution, grain size, beach slope, sorting, skewness, and kurtosis on the island, with each statistical moment offering insight into weather and energy effects. Compositional and mineralogical data showed differences in sands throughout several beaches accounting for the large diversity of color ranging from black or green sand (volcanic) to tan and white sands (carbonate) to some mixture of the two. These compositional differences also affect grain size distribution, and several survey locations show a more bimodal distribution. To further test pyDGS, four photographs from Mars taken by the Curiosity Rover were applied and compared to previously published data.	en_US
dc.identifier.uri	https://hdl.handle.net/11244/331420
dc.language	en_US	en_US
dc.subject	Geology	en_US
dc.subject	Carbonates	en_US
dc.subject	Sand	en_US
dc.subject	Hawaii	en_US
dc.thesis.degree	Master of Science	en_US
dc.title	Photogrammetric sand grainsize analysis of a circumnavigational sampling of beaches of the big island of Hawaii: possible insight into controlling processes and provenance	en_US
ou.group	Mewbourne College of Earth and Energy::School of Geosciences	en_US