Using Earth Observation data for measuring economic indicators
Aakash Gupta (~aakash70) |
Policymakers require swift feedback for measuring the impact of their policies. The delay in feedback can have major recuperation to the lowest segment in society. This is where high-frequency economic indicators derived from satellite imagery, can be a life-saver
1# Talk outline (30-min) breakdown
We discuss the various methods with which economic activity can be measured and also discuss the pros & cons of this approach. We will show how we can use freely available Sentinel imagery to highlight areas of interest. We can then access high-res images to gather more detail information. Infra-red and radar sensors can provide information which is hidden from optical imagery.
We will examine some common methods to identify economic activity and identify areas of high growth vs poorer areas.
Using VHR (30cm resolution) imagery to assess changes in car distribution
SAR (Radar) for activity monitoring of building construction
Measuring quality of water in major rivers in Europe
Impact on agri-production in the USA
Monitoring airport activity by counting aero-planes parked in airports
Measuring pollution over major industrial belts
Measuring deforestation using vegetation indices
Questions from the audience
Basics of Python & Pandas
Interest in Geo-science and working with satellite imagery
An older version of the talk at PyCon Ng 2021
Aakash considers himself to be a life-long learner. Over the last 12+years he have helped companies build their Data Science teams from scratch. He has a rich experience in designing innovation strategies for new-age startups. Along the way he has also taken part & won multiple hackathons. If you would like to connect with him, drop a message on his LinkedIn profile.