Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict

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.

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Publication Details

Journal
International Journal of Digital Earth
Published
2024-11-24
DOI
https://doi.org/10.1080/17538947.2024.2430678
Citations
4
Primary Topic
Impact of Light on Environment and Health
Type
article
Field-Weighted Citation Impact
1.13

Funders

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article

Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict

Xin Tan, X. G. Lei, Qingyan Meng, Wenxu Shi et al.
4 citations
International Journal of Digital Earth
Impact of Light on Environment and Health
1.13
article

Satellite and AI monitoring humanitarian crises in the Gaza Strip during the early stage of Israeli–Palestinian conflict

Xin Tan, X. G. Lei, Qingyan Meng, Wenxu Shi, Mingming Zhu, Liang Gao, Linlin Zhang, Qikang Zhao
article en
4 citations

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.

International Journal of Digital EarthVol. 17(1)
Chinese Academy of Sciences (CN), University of Macau (MO), Aerospace Information Research Institute (CN), Satellite Application Center for Ecology and Environment (CN), University of Chinese Academy of Sciences (CN), City University of Macau (MO)
Youth Innovation Promotion Association of the Chinese Academy of Sciences, Science, Technology and Innovation Commission of Shenzhen Municipality
Openalex Percentile: Top 22%
Impact of Light on Environment and Health
1.13
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