UAVs-FFDB: A high-resolution dataset for advancing forest fire detection and monitoring using unmanned aerial vehicles (UAVs)-Reference-Cited by-同舟云学术

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UAVs-FFDB: A high-resolution dataset for advancing forest fire detection and monitoring using unmanned aerial vehicles (UAVs)

Published:2024-08 Issue: Volume:55 Page:110706
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Mowla Md. Najmul^ORCID,Asadi Davood^ORCID,Tekeoglu Kadriye Nur^ORCID,Masum Shamsul^ORCID,Rabie Khaled

Publisher

Elsevier BV

Reference20 articles.

1. Leveraging the power of internet of things and artificial intelligence in forest fire prevention, detection, and restoration: A comprehensive survey;Giannakidou;Internet Things,2024

2. A comprehensive survey of research towards AI-enabled unmanned aerial systems in pre-, active-, and post-wildfire management;Boroujeni;Inf. Fusion,2024

3. M4SFWD: A Multi-Faceted synthetic dataset for remote sensing forest wildfires detection;Wang;Expert. Syst. Appl.,2024

4. Sustainable collaboration: Federated learning for environmentally conscious forest fire classification in green Internet of Things (IoT;Siddique;Internet Things,2024

5. An experimental approach to detect forest fire using machine learning mathematical models and IoT;Jayasingh;SN Comput. Sci.,2024

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