Holail Shimaa, Saleh Tamer, Xiao Xiongwu, Xiao Jing, Xia Gui-Song, Shao Zhenfeng, Wang Mi, Gong Jianya, Li Deren
State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430072, China.
Geomatics Engineering Department, Faculty of Engineering at Shoubra, Benha University, Cairo 11629, Egypt.
Natl Sci Rev. 2024 Aug 24;11(9):nwae304. doi: 10.1093/nsr/nwae304. eCollection 2024 Sep.
War-related urban destruction is a significant global concern, impacting national security, social stability, people's survival and economic development. The effects of urban geomorphology and complex geological contexts during conflicts, characterized by different levels of structural damage, are not yet fully understood globally. Here we report how integrating deep learning with data from the independently developed LuoJia3-01 satellite enables near real-time detection of explosions and assessment of different building damage levels in the Israel-Palestine conflict. We found that the damage continually increased from 17 October 2023 to 2 March 2024. We found 3747 missile craters with precision positions and sizes, and timing on vital infrastructure across five governorates in the Gaza Strip on 2 March 2024, providing accurate estimates of potential unexploded ordnance locations and assisting in demining and chemical decontamination. Our findings reveal a significant increase in damage to residential and educational structures, accounting for 58.4% of the total-15.4% destroyed, 18.7% severely damaged, 11.8% moderately damaged and 12.5% slightly damaged-which exacerbates the housing crisis and potential population displacement. Additionally, there is a 34.1% decline in the cultivated area of agricultural land, posing a risk to food security. The LuoJia3-01 satellite data are crucial for impartial conflict monitoring, and our innovative methodology offers a cost-effective, scalable approach to assess future conflicts in various global contexts. These first-time findings highlight the urgent need for an immediate ceasefire to prevent further damage and support the release of hostages and subsequent reconstruction efforts.
与战争相关的城市破坏是一个重大的全球问题，影响着国家安全、社会稳定、人民生存和经济发展。冲突期间城市地貌和复杂地质环境的影响，其特征是不同程度的结构破坏，在全球范围内尚未得到充分了解。在此，我们报告了如何将深度学习与自主研发的珞珈三号01星的数据相结合，实现对以色列-巴勒斯坦冲突中爆炸的近实时探测以及对不同建筑物受损程度的评估。我们发现，从2023年10月17日至2024年3月2日，破坏情况持续增加。2024年3月2日，我们在加沙地带五个省份发现了3747个精确位置、大小和时间的导弹坑，为潜在未爆弹药位置提供了准确估计，并协助排雷和化学去污。我们的研究结果显示，住宅和教育建筑的破坏显著增加，占总数的58.4%——15.4%被摧毁，18.7%严重受损，11.8%中度受损，12.5%轻度受损——这加剧了住房危机和潜在的人口流离失所。此外，农业耕地面积下降了34.1%，对粮食安全构成风险。珞珈三号01星数据对于公正的冲突监测至关重要，我们的创新方法提供了一种经济高效、可扩展的方法，以评估全球各种背景下的未来冲突。这些首次发现凸显了立即停火以防止进一步破坏并支持人质获释及后续重建工作的迫切需求。
