Amini Geospatial AI Series: Where and how to source EO data?

​Agenda

​18:00 - 18:05pm - Welcome by Amy Bray, Data Scientist at Zindi

​18:05 - 18:10pm - Introduction to Amini Data Scientists

​18:10 - 18:45pm - Hands-on Notebook Walkthrough

​18:45 - 17:00pm - Q&A

​This is an introduction to finding and downloading earth observation data for machine learning. We will predominantly focus on downloading Sentinel-2 data for regions in Africa. In this session we will touch on the fundamentals of Remote Sensing.

​Remote Sensing fundamentals

• ​Types: Optical, radar, thermal sensing

• ​Platform types: Satellite, aerial, drone

• ​Energy-matter interactions

​Key parameters & resolutions 

• ​Spatial resolution & scale concepts

• ​Spectral resolution & bands

• ​Temporal resolution & revisit times

​We will walk you through:

• ​How to great a Google Earth Engine account

• ​Where to find the APIs needed

• ​Walk through a script to start downloading data. 

​By the end of this session, you'll be set up to collect and access high-quality EO datasets for your machine learning projects.

​🎯 Bonus Opportunity:

​Attend all 3 webinars and submit a solution to the challenge on Zindi! The first 20 users to attend all three webinars and make a submission on the leaderboard will receive an exclusive 30-minute mentorship call with an Amini or Zindi EO specialist, where you can:

​✅ Get help with your code

​✅ Learn about the industry and job opportunities

​✅ Gain interview tips

​✅ Expand your network