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International Journal of Digital Earth Volume 12, 2019 - Issue 11: Social Sensing and Big Data Computing for Disaster Management
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Editorial

Introduction to social sensing and big data computing for disaster management

Zhenlong LiGeoinformation and Big Data Research Laboratory, Department of Geography, University of South Carolina, Columbia, SC, USACorrespondence[email protected]
,
Qunying HuangDepartment of Geography, University of Wisconsin–Madison, Madison, WI, USA
&
Christopher T. EmrichSchool of Public Administration and National Center for Integrated Coastal Research, University of Central Florida, Orlando, FL, USA
Pages 1198-1204 | Published online: 09 Oct 2019

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Qiushi Hu, Rui Li, Huayi Wu & Zhaohui Liu. (2022) Construction of a refined population analysis unit based on urban forms and population aggregation patterns. International Journal of Digital Earth 15:1, pages 79-107.
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Katerina Tzavella, Andriani Skopeliti & Alexander Fekete. (2022) Volunteered geographic information use in crisis, emergency and disaster management: a scoping review and a web atlas. Geo-spatial Information Science 0:0, pages 1-32.
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Manzhu Yu, Myra Bambacus, Guido Cervone, Keith Clarke, Daniel Duffy, Qunying Huang, Jing Li, Wenwen Li, Zhenlong Li, Qian Liu, Bernd Resch, Jingchao Yang & Chaowei Yang. (2020) Spatiotemporal event detection: a review. International Journal of Digital Earth 13:12, pages 1339-1365.
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Munir Ahmad. 2023. Using Crises and Disasters as Opportunities for Innovation and Improvement. Using Crises and Disasters as Opportunities for Innovation and Improvement 215 232 .
Yang Zhang, Ruohan Zong, Lanyu Shang, Huimin Zeng, Zhenrui Yue & Dong Wang. (2023) A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing. A Crowdsourced Learning Framework to Optimize Cross-Event QoS in AI-powered Social Sensing.
Chenchen Yang, Han Zhang, Xunhua Li, Zongyi He & Junli Li. (2023) Analysis of spatial and temporal characteristics of major natural disasters in China from 2008 to 2021 based on mining news database. Natural Hazards.
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Muhammad Ashraf Fauzi. (2023) Social media in disaster management: review of the literature and future trends through bibliometric analysis. Natural Hazards.
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Stylianos Kossieris, Milad Asgarimehr & Jens Wickert. (2023) Unsupervised Machine Learning for GNSS Reflectometry Inland Water Body Detection. Remote Sensing 15:12, pages 3206.
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Hafiz Suliman Munawar, Ahmed W. A. Hammad & S. Travis Waller. (2022) Remote Sensing Methods for Flood Prediction: A Review. Sensors 22:3, pages 960.
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Jiadi Yin, Jinwei Dong, Nicholas A.S. Hamm, Zhichao Li, Jianghao Wang, Hanfa Xing & Ping Fu. (2021) Integrating remote sensing and geospatial big data for urban land use mapping: A review. International Journal of Applied Earth Observation and Geoinformation 103, pages 102514.
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Shi Shen, Junwang Huang, Changxiu Cheng, Ting Zhang, Nikita Murzintcev & Peichao Gao. (2021) Spatiotemporal Evolution of the Online Social Network after a Natural Disaster. ISPRS International Journal of Geo-Information 10:11, pages 744.
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Zenghua He. (2021) Research on Spatial Big Data Management and High Performance Computing Based on Information Cloud Platform. Research on Spatial Big Data Management and High Performance Computing Based on Information Cloud Platform.
Ade Sutedi, Erwin Gunadhi, Deni Heryanti & Ridwan Setiawan. (2021) Data Privacy in Disaster Situation: A review. Data Privacy in Disaster Situation: A review.
Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson & Xiaoming Li. (2021) Measuring global multi-scale place connectivity using geotagged social media data. Scientific Reports 11:1.
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Jaishree Beedasy, Antonia Fernanda Samur Zúñiga, Thomas Chandler & Tim Slack. (2020) Online community discourse during the Deepwater Horizon oil spill: an analysis of Twitter interactions. International Journal of Disaster Risk Reduction 51, pages 101870.
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Zhenlong Li, Wenwu Tang, Qunying Huang, Eric Shook & Qingfeng Guan. (2020) Introduction to Big Data Computing for Geospatial Applications. ISPRS International Journal of Geo-Information 9:8, pages 487.
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