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S2 (Ep1) Down to Earth: A ”Time Series” of Machine Learning in Earth Observation

S2 (Ep1) Down to Earth: A ”Time Series” of Machine Learning in Earth Observation

FromDown To Earth: A podcast for Geoscientists by Geoscientist


S2 (Ep1) Down to Earth: A ”Time Series” of Machine Learning in Earth Observation

FromDown To Earth: A podcast for Geoscientists by Geoscientist

ratings:
Length:
29 minutes
Released:
Nov 1, 2021
Format:
Podcast episode

Description

From its rudimentary emergence in the 50s, to the more recent development of deep learning, machine learning been an complete game changer when it comes to being able to quickly interpret and act on remote sensing data. In this episode, we speak with three scientists, Dr. Jón Atli Benediktsson, Dr. Paolo Gamba, and Dr. Naoto Yokoya, to trace the evolution of machine learning in earth observation and how it has permanently shifted the earth observation landscape!
Released:
Nov 1, 2021
Format:
Podcast episode

Titles in the series (45)

Welcome to “Down to Earth”, a 30-minute podcast about innovative geoscience and the incredible people behind it. Each week, we host a different guest to talk about science, careers, and passions. From stories about meeting their idols, to investigating their science superpowers, and all the fascinating research and engineering projects in between, Down to Earth is sure to become your quick and compelling catch-up on the people and the work in geoscience. This podcast is presented by the IEEE Geoscience and Remote Sensing Society.