| Full text | |
| Author(s): |
Segundo, Mauricio Pamplona
[1]
;
Pinto, Allan
[2]
;
Minetto, Rodrigo
[3]
;
Torres, Ricardo da Silva
[4]
;
Sarkar, Sudeep
[1]
Total Authors: 5
|
| Affiliation: | [1] Univ S Florida, Dept Comp Sci & Engn, Tampa, FL 33647 - USA
[2] Univ Estadual Campinas, BR-13083970 Campinas - Brazil
[3] Univ Tecnol Fed Parana, BR-80230901 Curitiba, Parana - Brazil
[4] Norwegian Univ Sci & Technol, Dept ICT & Nat Sci, N-6009 Alesund - Norway
Total Affiliations: 4
|
| Document type: | Journal article |
| Source: | IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING; v. 14, p. 7213-7224, 2021. |
| Web of Science Citations: | 0 |
| Abstract | |
This work introduces a novel solution to measure economic activity through remote sensing for a wide range of spatial areas. We hypothesize 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 impact 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 postlockdown 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 is integrated into the RACE dashboard. This platform combines satellite data and artificial intelligence to promote a progressive and safe reopening of essential activities. Code, trained model, and data are available at https://github.com/maups/covid19-custom-script-contest. (AU) | |
| FAPESP's process: | 19/22262-3 - Large Volume Reconstruction - High precision system for position detection in sports |
| Grantee: | Paulo Roberto Pereira Santiago |
| Support Opportunities: | Organization Grants - Scientific Meeting |
| FAPESP's process: | 16/50250-1 - O segredo de jogar futebol:brasil versus holanda. (nwo-sia 2016) |
| Grantee: | Sergio Augusto Cunha |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 14/12236-1 - AnImaLS: Annotation of Images in Large Scale: What can machines and specialists learn from interaction? |
| Grantee: | Alexandre Xavier Falcão |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 15/24494-8 - Communications and Processing of Big Data in Cloud and Fog Computing |
| Grantee: | Nelson Luis Saldanha da Fonseca |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 19/16253-1 - Unraveling the secret of Brazilian and Dutch soccer by capturing successful elements of playing style and playing strategies |
| Grantee: | Allan da Silva Pinto |
| Support Opportunities: | Scholarships in Brazil - Post-Doctoral |
| FAPESP's process: | 19/17729-0 - Data-Driven Approaches for Soccer Match Analysis: an e-Science Perspective |
| Grantee: | Paulo Roberto Pereira Santiago |
| Support Opportunities: | Regular Research Grants |