NT4OP | Deep Learning in Earth and Climate Science from Satellite Imagery

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New Tools For Old Problems
May 17, 2021
11:30AM - 12:30PM
Location
Zoom

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Add to Calendar 2021-05-17 11:30:00 2021-05-17 12:30:00 NT4OP | Deep Learning in Earth and Climate Science from Satellite Imagery Zoom Byrd Polar and Climate Research Center byrd-contact@osu.edu America/New_York public
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Episode 4: Deep Learning in Earth and Climate Science from Satellite Imagery

 

 

Expert: Joachim Moortgat

Recent advances in satellite observational capabilities and computational power are greatly expanding our ability to monitor the Earth's changing surface. Machine Learning algorithms,  first developed for medical imaging, can be trained to automatically detect any feature of interest at the pixel-level, down to sub-meter resolutions and repeated over time. Obvious features of interest are roads, human infrastructure, rivers and other water bodies; but applications abound across disciplines: agricultural land use, energy resources, forestry/deforestation/wildfires, rock outcrops, glaciers and landslides, faulting, contaminant spills, tracking large (herds of) animals, etc. Professor Joachim Moortgat from the School of Earth Sciences develops and applies new deep learning algorithms that are optimized for vast collections of satellite imagery to tackle such problems in collaboration with a broad range of domain experts. He provides an overview of Earth and Climate science applications and capabilities, but also discuss the significant challenges associated with supervised deep learning.

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New Tools for Old Problems (NT4OP)

The New Tools for Old Problems (NT4OP) series is designed to bring together developers of cutting-edge observational and analytical capabilities and Earth and climate researchers to identify new applications. Each episode consists of a brief (~20 minute) overview presentation by the expert or team of experts, followed by an open discussion and Q&A session to explore potential new applications of their “tools” to Earth and climate research. Registration is required to attend the live events, which are recorded and open to all.


Episode 1:  Remote Sensing of Water with the ElectroScience Laboratory
April 5, 2021

Episode 2: More Remote Sensing of Water
April 19, 2021

Episode 3: Environmental Surveying with Drones
May, 3, 2021

Episode 4: Deep Learning in Earth and Climate Science from Satellite Imagery
May 17, 2021

Episode 5: Applications of Inductively Coupled Plasma Mass Spectrometry (ICP-MS) for Environmental Problems
June 2, 2021

Episode 6: Analysis of Earth fluids and gases for Understanding Geological, Hydrologic, Ecological and Biogeochemical Processes
June 14, 2021


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