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Measuring economic activity from space: a case study using flying airplanes and COVID-19

arXiv 2104.10345 ↗First posted 21 Apr 2021cs.CV eess.IVcited by 0

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Abstract (arXiv)

This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesized that disturbances in human behavior caused by major life-changing events leave signatures in satellite imagery that allows devising relevant image-based indicators to estimate their impacts and support decision-makers. We present a case study for the COVID-19 coronavirus outbreak, which imposed severe mobility restrictions and caused worldwide disruptions, using flying airplane detection around the 30 busiest airports in Europe to quantify and analyze the lockdown's effects and post-lockdown recovery. Our solution won the Rapid Action Coronavirus Earth observation (RACE) upscaling challenge, sponsored by the European Space Agency and the European Commission, and now integrates the RACE dashboard. This platform combines satellite data and artificial intelligence to promote a progressive and safe reopening of essential activities. Code and CNN models are available at https://github.com/maups/covid19-custom-script-contest

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 9 of its 55 references that are in the map. First posted on arXiv 21 Apr 2021.

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9 of 55 references.

References · 9

  1. 2015Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networkscited by 9,617
  2. 2015Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shiftcited by 6,979
  3. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  4. 2017DOTA: A Large-scale Dataset for Object Detection in Aerial Imagescited by 622
  5. 2018xView: Objects in Context in Overhead Imagerycited by 145
  6. 2018Hydra: an Ensemble of Convolutional Neural Networks for Geospatial Land Classificationcited by 12
  7. 2020Measuring Human and Economic Activity from Satellite Imagery to Support City-Scale Decision-Making during COVID-19 Pandemiccited by 3
  8. 2020Concurrent Segmentation and Object Detection CNNs for Aircraft Detection and Identification in Satellite Imagescited by 3
  9. 2014Leveraging Cloud Data to Mitigate User Experience from "Breaking Bad"cited by 2

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