My current research aims to quantify the links between climate variability and coastal change in the Pacific basin by leveraging the capabilities of Google Earth Engine to map coastline changes from 30+ years of Landsat imagery.
I enjoy developing open-source remote sensing tools and creating WebGIS applications to visualise remotely sensed data. I have a background in Environmental engineering and have specialized in remote sensing applications, in particular optical satellite imagery (classification, feature extraction, etc... with Python and Google Earth Engine) and UAV image processing (photogrammetry with Sensefly's eBee and video rectification with DJI's Phantom/Mavic).
CoastSat is an open-source software toolkit written in Python that enables the user to obtain time-series of shoreline position at any sandy coastline worldwide from 30+ years (and growing) of publicly available satellite imagery.
How to estimate beach slopes in the absence of field measurements? Here I present a novel technique to estimate beach slopes from satellite-derived shorelines. Coast2Coast Webinar organised by Giovanni Coco, Kristen Splinter and Mitchell Harley.