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Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict
Zhao, Qikang1,2; Tan, Xin1,3; Meng, Qingyan1,3,4; Gao, Liang2,5; Zhang, Linlin1,3,4; Lei, Xuewen1,3; Shi, Wenxu1,3; Zhu, Mingming2
2024-11
Source PublicationInternational Journal of Digital Earth
ISSN1753-8947
Volume17Issue:1Pages:2430678
Abstract

Extensive power shortages and airstrikes have plunged Gaza into a severe humanitarian crisis. Here, we introduce a rapid and efficient framework to evaluate the impacts of armed conflict and monitor potential humanitarian crises in the Gaza Strip based on multi-source satellite imageries and cutting-edge artificial intelligence (AI) techniques. Since October 9th, 2023, the complete blockade had led to widespread power outages across the entire Gaza Strip, particularly in the southern region. Airstrikes destroyed more than 20% of buildings, including nearly 60% of shops and hospitals, as well as 80% of water infrastructure. The affected vulnerable population exposure is further quantified at the block level, which further helps determine high-risk humanitarian crisis locations and aid in the precise allocation of humanitarian resources. In general, the proposed framework performs well in applying to complex environments during an armed conflict. It can also offer rapid and continuous monitoring of the Gaza Strip and can be broadly applied in armed conflicts or natural disasters. Our research is one of the early studies to apply AI foundation models to improve the efficiency of rapid post-disaster investigation.

KeywordRapid Post-disaster Response Ai Foundation Model Deep Learning Very-high-resolution Satellite Imagery
DOI10.1080/17538947.2024.2430678
URLView the original
Indexed BySCIE
Language英語English
WOS Research AreaPhysical Geography ; Remote Sensing
WOS SubjectGeography, Physical ; Remote Sensing
WOS IDWOS:001362804200001
PublisherTAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND
Scopus ID2-s2.0-85210143686
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Citation statistics
Document TypeJournal article
CollectionFaculty of Science and Technology
THE STATE KEY LABORATORY OF INTERNET OF THINGS FOR SMART CITY (UNIVERSITY OF MACAU)
DEPARTMENT OF OCEAN SCIENCE AND TECHNOLOGY
Corresponding AuthorMeng, Qingyan; Gao, Liang
Affiliation1.Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China
2.State Key Laboratory of Internet of Things for Smart City and Department of Ocean Science and Technology,University of Macau, Macau, People’s Republic of China
3.University of Chinese Academy of Sciences, Beijing,People’s Republic of China
4.Key Laboratory of Emergency Satellite Engineering and Application, Ministry ofEmergency Management, Beijing, People’s Republic of China
5.Centre for Ocean Research in Hong Kong and Macau(CORE), Macau, People’s Republic of China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhao, Qikang,Tan, Xin,Meng, Qingyan,et al. Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict[J]. International Journal of Digital Earth, 2024, 17(1), 2430678.
APA Zhao, Qikang., Tan, Xin., Meng, Qingyan., Gao, Liang., Zhang, Linlin., Lei, Xuewen., Shi, Wenxu., & Zhu, Mingming (2024). Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict. International Journal of Digital Earth, 17(1), 2430678.
MLA Zhao, Qikang,et al."Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict".International Journal of Digital Earth 17.1(2024):2430678.
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