Near Real-Time Wildfire Management Using Distributed Satellite System-Reference-Cited by-同舟云学术

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Near Real-Time Wildfire Management Using Distributed Satellite System

Published:2023 Issue: Volume:20 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Thangavel Kathiravan¹^ORCID,Spiller Dario²^ORCID,Sabatini Roberto³^ORCID,Marzocca Pier¹^ORCID,Esposito Marco⁴

Affiliation:

1. School of Engineering, RMIT University, Melbourne, VIC, Australia

2. School of Aerospace Engineering, Sapienza University of Rome, Rome, Italy

3. Department of Aerospace Engineering, Khalifa University, Abu Dhabi, United Arab Emirates

4. Cosine, Sassenheim, The Netherlands

Funder

SmartSat Cooperative Research Centre (CRC) and the Andy Thomas Space Foundation through the Collaborative Research Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Geotechnical Engineering and Engineering Geology

Link

http://xplorestaging.ieee.org/ielx7/8859/10034981/09984159.pdf?arnumber=9984159

Reference27 articles.

1. Towards the automated operations of large distributed satellite systems. Part 1: Review and paradigm shifts

2. Space-based Space Surveillance and Tracking demonstrator: Mission and system design;utzmann;Proc Int Astron Congr (IAC),2014

3. Towards the automated operations of large distributed satellite systems. Part 2: Classifications and tools

Cited by 19 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wildfire risk management in the era of climate change;PNAS Nexus;2024-04-30

2. Navigating AI-lien Terrain: Legal liability for artificial intelligence in outer space;Acta Astronautica;2024-04

3. Multidisciplinary design and optimization of intelligent Distributed Satellite Systems for EARTH observation;Acta Astronautica;2024-03

4. Proposed design of an augmented deep learning model for estimation of sustainable development goals via satellite image analysis;Environment, Development and Sustainability;2024-01-16

5. An Experimental Approach to Detect Forest Fire Using Machine Learning Mathematical Models and IoT;SN Computer Science;2024-01-05

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