Abandon the pixel: how ML is changing the earth observation paradigm

*Date is currently TBD... coming soon.

In this presentation, you'll learn about how remote sensing data can be incorporated for machine learning applications.

Data standardization is one of the most critical aspects for accurately analyzing Earth observation data using statistics. This presentation outlines UrtheCast’s framework for delivering multi-source, standardized Earth observation imagery for use in traditional and non-traditional analysis.

Prerequisites:
This is focused for intermediate users.

Meet Your Speaker:
William Parkinson is a remote sensing data scientist for Urthecast, an earth observation technology company. His work includes applying and adapting machine learning algorithms for information extraction from earth observation data products. Previously, he developed advanced statistical techniques for monitoring natural resources and food security for the Canadian Government. His key area of interest is in understanding the spatial context of data and how it affects predictive analytics.