Observing Supraglacial Lakes Using Deep Learning and PlanetScope Imagery
Machine Learning Engineer Lilly Thomas will be presenting her work from our partnership with NASA IMPACT using supervised semantic segmentation leveraging a convolutional neural network architecture to train a model with labels from NASA Operation IceBridge to predict supraglacial lake occurrences in high temporal resolution PlanetScope imagery. Thursday, 20 July, 8:30 (Pacific time).
Technologies used to Create, Store and Access Geospatial Data in the Cloud
In addition to the Remote Sensing Summer School, you'll find Machine Learning Engineer Ryan Avery at the Open Science in Action session, Wednesday, 19 July 15:45 (Pacific time) where he will talk about cloud-native data systems designed for open science, and discuss data formats, supportive libraries, and data catalogs, aimed at improving access, cost-efficiency, and discovery of remote sensing and geospatial data archives.