DADOS: Decentralized Autonomous Disaster Observation System
Monitoring climate and natural disasters depends on international satellite collaboration, but current activation processes are slow and complex. DADOS (Decentralized Autonomous Disaster Observation System) enhances emergency mapping by integrating multi-agent systems and blockchain to automate satellite tasking, data acquisition, processing, and dissemination. Using data from 71 satellites, NASA's natural events database, and activation records from ESA and the International Charter, experiments showed DADOS can increase coverage capacity by up to 270 times, with autonomous agents making decisions in approximately 555 milliseconds.
Authors
- Edilson Filho (ORCID: https://orcid.org/0000-0002-2107-993X)
- Jarbas Silveira (ORCID: https://orcid.org/0000-0003-2590-9520)
- César Marcon (ORCID: https://orcid.org/0000-0002-7811-7896)
- Laurent Vercouter
- Marc Saideh (ORCID: https://orcid.org/0009-0007-5406-8149)
- Walter dos Santos
Institutions
- Universidade Federal do Ceará (BR)
- Normandie Université (FR)
- Laboratoire d'Informatique, du Traitement de l'Information et des Systèmes (FR)
- Pontifícia Universidade Católica do Rio Grande do Sul (BR)
- Université de Rouen Normandie (FR)
- Instituto Nacional de Pesquisas Espaciais (BR)
- Institut National des Sciences Appliquées Rouen Normandie (FR)
Publication Details
- Journal
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1109/jstars.2025.3610288
- Citations
- 1
- Primary Topic
- Advanced Computational Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 2.48