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

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.

Introduction
Agenda
Disclaimer
Eyeball
Mantis Shrimp
Mantis Shrimp Vision
Digital Globe
Wrapup
Jupiter Notebooks
OSD
Library
Jupiter
Clone and Edit
Update
Clone Edit
Finding Imagery
Imagery Search
Jupiter Notebook
Pueblo Colorado
Clouds
Open Data
Humanitarian Imagery
Cloud Cover
Notebook
Raster
Paulo
Image Metadata
Where were we
That was it
Preprocessing
Privacy Settings
Mole in the Audience
Public
Speedy Gonzales
Atmospheric Compensation
Before
After
Pan Sharpening