How AI Imaging Is Transforming Satellite Imagery Data Science Conversations podcast

In this episode we discuss the rapidly developing field of Satellite Imaging.

Our guests on this show are Heidi Hurst & Jerry He.

They are two remarkable industry Data Scientists with a strong academic pedigree and experience in the field of Satellite Image Processing. Heidi is based in Washington DC and Jerry is based in New York.

Join us as they discuss their journey into Satellite Imaging and share with us the latest developments in this fascinating and evolving area of Data Science.

Episode Summary

Why is satellite image processing such an exciting field?
What data sources is satellite image data based on?
What are the challenges in using satellite image data?
Sensors used in satellite imaging
Methods used in satellite imaging - Image Processing, Deep Learning, CNN
The Socio-economic applications
Industry Applications for Satellite Imaging - Agriculture, Supply Chain monitoring, Sales Prediction, Insurance
The Future of Satellite Imaging

RESOURCES:

Cool Visual - One Hour of active Satellites orbiting Earth:

https://www.reddit.com/r/dataisbeautiful/comments/j7pj62/oc_one_hour_of_active_satellites_orbiting_earth/?utm_source=share&utm_medium=ios_app&utm_name=iossmf

DOTA - https://captain-whu.github.io/DOTA/ - Open dataset for object detection in overhead imagery

COwC - https://gdo152.llnl.gov/cowc/ - Cars Overhead with Context - specific detection dataset for car counting algorithms

xView - http://xviewdataset.org/ - dataset put together by the National Geospatial Intelligence Agency for an object detection challenge, including some particularly rare classes