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1
Introduction
2
Agenda
3
Disclaimer
4
Eyeball
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Mantis Shrimp
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Mantis Shrimp Vision
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Digital Globe
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Wrapup
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Jupiter Notebooks
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OSD
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Library
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Jupiter
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Clone and Edit
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Update
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Clone Edit
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Finding Imagery
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Imagery Search
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Jupiter Notebook
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Pueblo Colorado
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Clouds
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Open Data
22
Humanitarian Imagery
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Cloud Cover
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Notebook
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Raster
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Paulo
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Image Metadata
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Where were we
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That was it
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Preprocessing
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Privacy Settings
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Mole in the Audience
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Public
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Speedy Gonzales
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Atmospheric Compensation
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Before
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After
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Pan Sharpening
Description:
Explore satellite imagery analysis and machine learning in this comprehensive conference talk from ODSC West 2018. Discover how to "see" in up to 26 color bands, surpassing even the mantis shrimp's visual capabilities. Learn to work with satellite data using Jupyter notebooks, extracting valuable information about the Earth. Gain insights into creating machine learning models with this data, feature extraction techniques, and cloud-based processing. Follow along as the speaker demonstrates practical applications, including searching for imagery, analyzing cloud cover, and preprocessing techniques like atmospheric compensation and pan sharpening. Dive into the world of geospatial data science and unlock the potential of satellite imagery for various applications.

How to Use Satellite Imagery to Be a Machine - Sean Patrick Gorman, PhD | ODSC West 2018

Open Data Science
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