Time-series satellite remote sensing reveals gradually increasing war damage in the Gaza Strip
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,...
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Published in | National science review Vol. 11; no. 9; p. nwae304 |
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Main Authors | , , , , , , , , |
Format | Journal Article |
Language | English |
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01.09.2024
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Abstract | 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. |
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AbstractList | 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. 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.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. ABSTRACT 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. |
Author | Xiao, Xiongwu Shao, Zhenfeng Wang, Mi Gong, Jianya Saleh, Tamer Xiao, Jing Holail, Shimaa Xia, Gui-Song Li, Deren |
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Cites_doi | 10.1038/s44304-024-00003-0 10.1073/pnas.2309087121 10.1038/s41467-020-20215-y 10.17603/ds2-vnsc-y870 10.1016/j.forpol.2020.102246 10.3390/rs11232765 10.1038/d41586-023-03550-0 10.1016/j.pss.2019.03.008 10.1038/s43016-021-00432-4 10.1109/CVPR.2015.7298737 10.1080/01431161.2014.971469 10.1080/10095020.2023.2208472 10.1038/d41586-023-01759-7 10.1038/s43588-021-00108-w 10.1080/01431161.2017.1331476 10.3390/land11101810 10.1109/TGRS.2016.2516402 10.1038/s41598-022-20114-w 10.1038/nature19829 10.1109/IGARSS.2016.7730345 |
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Keywords | Gaza Strip building damage level detection type of damaged building satellite remote sensing war damage monitoring missile crater detection |
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References | Li (2024092008281429100_bib26) 2023; 26 Krebs (2024092008281429100_bib27) Reuters (2024092008281429100_bib28) Nex (2024092008281429100_bib16) 2019; 11 Hill (2024092008281429100_bib31) Emanuel (2024092008281429100_bib30) Gritten (2024092008281429100_bib4) Chirigati (2024092008281429100_bib13) 2021; 1 Heidarlou (2024092008281429100_bib10) 2020; 118 Gueguen (2024092008281429100_bib14) 2015 Speyerer (2024092008281429100_bib20) 2016; 538 Gueguen (2024092008281429100_bib17) 2016; 54 Li (2024092008281429100_bib11) 2014; 35 Yu (2024092008281429100_bib23) 2024; 1 Li (2024092008281429100_bib7) 2022; 3 Deng (2024092008281429100_bib21) 2022; 12 The Visual Journalism Team (BBC News) (2024092008281429100_bib6) Kahraman (2024092008281429100_bib15) 2016 Amnesty International (2024092008281429100_bib1) Lee (2024092008281429100_bib19) 2019; 170 Nature news team and freelance reporters (2024092008281429100_bib3) 2023 Li (2024092008281429100_bib12) 2017; 38 2024092008281429100_bib22 Yu (2024092008281429100_bib25) 2024; 121 Lauren (2024092008281429100_bib5) Poole (2024092008281429100_bib9) 2023; 618 Ma (2024092008281429100_bib8) 2022; 11 Li (2024092008281429100_bib24) 2023 Yang (2024092008281429100_bib18) 2020; 11 Office for the Coordination of Humanitarian Affairs (OCHA) (2024092008281429100_bib2) Toler (2024092008281429100_bib29) |
References_xml | – volume: 1 start-page: 3 year: 2024 ident: 2024092008281429100_bib23 article-title: Intelligent assessment of building damage of 2023 Turkey-Syria earthquake by multiple remote sensing approaches publication-title: npj Nat Hazards doi: 10.1038/s44304-024-00003-0 contributor: fullname: Yu – ident: 2024092008281429100_bib31 publication-title: Israel Has Waged One of This Century's Most Destructive Wars in Gaza contributor: fullname: Hill – volume: 121 start-page: e2309087121 year: 2024 ident: 2024092008281429100_bib25 article-title: Spatial spillovers of violent conflict amplify the impacts of climate variability on malaria risk in sub-Saharan Africa publication-title: Proc Natl Acad Sci USA doi: 10.1073/pnas.2309087121 contributor: fullname: Yu – volume: 11 start-page: 6358 year: 2020 ident: 2024092008281429100_bib18 article-title: Lunar impact crater identification and age estimation with Chang’E data by deep and transfer learning publication-title: Nat Commun doi: 10.1038/s41467-020-20215-y contributor: fullname: Yang – volume-title: Inside the Satellite Tech Revealing Gaza's Destruction ident: 2024092008281429100_bib5 contributor: fullname: Lauren – volume-title: As 2024 Begins, IDF Withdraws 5 Brigades from Gaza, But Says Fighting Likely All Year ident: 2024092008281429100_bib30 contributor: fullname: Emanuel – year: 2023 ident: 2024092008281429100_bib24 article-title: M7.8 Turkey-Syria earthquake impact estimates from near-real-time crowdsourced and remote sensing data publication-title: DesignSafe-CI doi: 10.17603/ds2-vnsc-y870 contributor: fullname: Li – volume-title: Gaza Before and After: Satellite Images Show Destruction ident: 2024092008281429100_bib6 contributor: fullname: The Visual Journalism Team (BBC News) – volume: 118 start-page: 102246 year: 2020 ident: 2024092008281429100_bib10 article-title: Armed conflict and land-use changes: insights from Iraq-Iran war in Zagros forests publication-title: For Policy Econ doi: 10.1016/j.forpol.2020.102246 contributor: fullname: Heidarlou – volume: 11 start-page: 2765 year: 2019 ident: 2024092008281429100_bib16 article-title: Structural building damage detection with deep learning: assessment of a state-of-the-art CNN in operational conditions publication-title: Remote Sens doi: 10.3390/rs11232765 contributor: fullname: Nex – volume-title: Occupied Palestinian Territory: Hostilities in the Gaza Strip and Israel, Flash Update #147 ident: 2024092008281429100_bib2 contributor: fullname: Office for the Coordination of Humanitarian Affairs (OCHA) – year: 2023 ident: 2024092008281429100_bib3 article-title: The Israel-Hamas conflict: voices from scientists on the front lines publication-title: Nature doi: 10.1038/d41586-023-03550-0 contributor: fullname: Nature news team and freelance reporters – volume: 170 start-page: 16 year: 2019 ident: 2024092008281429100_bib19 article-title: Automated crater detection on Mars using deep learning publication-title: Planet Space Sci doi: 10.1016/j.pss.2019.03.008 contributor: fullname: Lee – volume-title: Israel to Continue Gaza War with or without International Support, FM Says ident: 2024092008281429100_bib4 contributor: fullname: Gritten – volume-title: Luojia 1-01 (LJ 1-01) ident: 2024092008281429100_bib27 contributor: fullname: Krebs – volume: 3 start-page: 38 year: 2022 ident: 2024092008281429100_bib7 article-title: Civil war hinders crop production and threatens food security in Syria publication-title: Nat Food doi: 10.1038/s43016-021-00432-4 contributor: fullname: Li – start-page: 1321 volume-title: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) year: 2015 ident: 2024092008281429100_bib14 article-title: Large-scale damage detection using satellite imagery doi: 10.1109/CVPR.2015.7298737 contributor: fullname: Gueguen – volume: 35 start-page: 6648 year: 2014 ident: 2024092008281429100_bib11 article-title: Can night-time light images play a role in evaluating the Syrian crisis? publication-title: Int J Remote Sens doi: 10.1080/01431161.2014.971469 contributor: fullname: Li – volume: 26 start-page: 257 year: 2023 ident: 2024092008281429100_bib26 article-title: Internet intelligent remote sensing scientific experimental satellite LuoJia3-01 publication-title: Geo-Spat Inf Sci doi: 10.1080/10095020.2023.2208472 contributor: fullname: Li – ident: 2024092008281429100_bib22 – volume: 618 start-page: 30 year: 2023 ident: 2024092008281429100_bib9 article-title: Satellite imagery identifies deliberate attacks on hospitals publication-title: Nature doi: 10.1038/d41586-023-01759-7 contributor: fullname: Poole – volume: 1 start-page: 454 year: 2021 ident: 2024092008281429100_bib13 article-title: Detection of war destruction from satellite images publication-title: Nat Comput Sci doi: 10.1038/s43588-021-00108-w contributor: fullname: Chirigati – volume: 38 start-page: 5934 year: 2017 ident: 2024092008281429100_bib12 article-title: Intercalibration between DMSP/OLS and VIIRS night-time light images to evaluate city light dynamics of Syria’s major human settlement during Syrian Civil War publication-title: Int J Remote Sens doi: 10.1080/01431161.2017.1331476 contributor: fullname: Li – volume-title: Damning Evidence of War Crimes as Israeli Attacks Wipe Out Entire Families in Gaza ident: 2024092008281429100_bib1 contributor: fullname: Amnesty International – volume: 11 start-page: 1810 year: 2022 ident: 2024092008281429100_bib8 article-title: Spatiotemporal analysis and war impact assessment of agricultural land in Ukraine using RS and GIS technology publication-title: Land doi: 10.3390/land11101810 contributor: fullname: Ma – volume: 54 start-page: 3378 year: 2016 ident: 2024092008281429100_bib17 article-title: Toward a generalizable image representation for large-scale change detection: application to generic damage analysis publication-title: IEEE Trans Geosci Remote Sens doi: 10.1109/TGRS.2016.2516402 contributor: fullname: Gueguen – volume-title: Israel-Hamas War: The Hostage Deal and Ceasefire Explained 2023 ident: 2024092008281429100_bib28 contributor: fullname: Reuters – volume: 12 start-page: 15862 year: 2022 ident: 2024092008281429100_bib21 article-title: Post-disaster building damage assessment based on improved U-Net publication-title: Sci Rep doi: 10.1038/s41598-022-20114-w contributor: fullname: Deng – volume: 538 start-page: 215 year: 2016 ident: 2024092008281429100_bib20 article-title: Quantifying crater production and regolith overturn on the Moon with temporal imaging publication-title: Nature doi: 10.1038/nature19829 contributor: fullname: Speyerer – volume-title: IDF Videos Add to Confusion Over Gazans Killed at Aid Site ident: 2024092008281429100_bib29 contributor: fullname: Toler – start-page: 5161 volume-title: 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) year: 2016 ident: 2024092008281429100_bib15 article-title: Battle damage assessment based on self-similarity and contextual modeling of buildings in dense urban areas doi: 10.1109/IGARSS.2016.7730345 contributor: fullname: Kahraman |
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