Residential College | false |
Status | 已發表Published |
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 Publication | International Journal of Digital Earth |
ISSN | 1753-8947 |
Volume | 17Issue: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. |
Keyword | Rapid Post-disaster Response Ai Foundation Model Deep Learning Very-high-resolution Satellite Imagery |
DOI | 10.1080/17538947.2024.2430678 |
URL | View the original |
Indexed By | SCIE |
Language | 英語English |
WOS Research Area | Physical Geography ; Remote Sensing |
WOS Subject | Geography, Physical ; Remote Sensing |
WOS ID | WOS:001362804200001 |
Publisher | TAYLOR & FRANCIS LTD, 2-4 PARK SQUARE, MILTON PARK, ABINGDON OR14 4RN, OXON, ENGLAND |
Scopus ID | 2-s2.0-85210143686 |
Fulltext Access | |
Citation statistics | |
Document Type | Journal article |
Collection | Faculty 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 Author | Meng, Qingyan; Gao, Liang |
Affiliation | 1.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 Affilication | University of Macau |
Corresponding Author Affilication | University 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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