MSc Dissertation: Developing an Attention-Based U-Net for the Semantic Segmentation of Supraglacial Hydrological Features and Drainage Detection on the Greenland Ice Sheet using Sentinel-1 SAR.
This project involved developing a machine learning model in Python to predict lakes and rivers on the Greenland Ice Sheet from Sentinel-1 satellite imagery.A key deliverable was a non-technical ArcGIS StoryMap aimed at non-specialists to communicate the key findings in simple terms.
The PDF version of the Dissertation is available for download on this page while the interactive non-technical output is liked below, it is connected to a university accound and as such may not work. If this is the case a PDF version is available in the main branch.
Link: https://storymaps.arcgis.com/stories/39f8663eaa14400cb109fa06f00a264a
This project involved the numerical modelling of Tunabreen glacier surges using remotely sensed data. The analysis was conducted in QGIS and Python, with the findings presented in a written report and a verbal presentation to faculty members. A PDF version is available on this page.
As a certified drone pilot holding an A2 CofC and GVC, I am experienced in processing drone-captured imagery to create orthomosaics, Digital Elevation Models, and 3D models using software such as 'Drone2Map'.
The interactive version can be found below, similar to the MSc Dissertation there is a back up PDF version available on this page.
Link: https://storymaps.arcgis.com/stories/ef73edd4775542e3aab30e7d2fcfec57
This ArcGIS StoryMap demonstrates skills in cartographic design, interactive web mapping, Python automation, and geovisualisation. Using varied examples, the project highlights my ability to select appropriate data and techniques to build effective spatial narratives while considering the principles of responsible mapping. The interactive version is linked below with a back up PDF version available on this page.
Link: https://storymaps.arcgis.com/stories/cfe276e8d2164eb69a7da88748ece281