Extraction and Classification of Flood-Affected Areas Based on MRF and Deep Learning by Jie Wang, Bensheng Huang, Fuming Wang

“…As a result, it is vital to determine the extent and type of land cover in flooded areas quickly and accurately in order to facilitate disaster relief and mitigation efforts. Synthetic aperture radar (SAR) is an all-weather, 24 h data source used to extract information about flood inundations, and its primary aim is to extract water body information for flood monitoring. …”
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Gender, sexual orientation, ethnicity and socioeconomic factors influence how wildland firefighters communicate their work experiences by Miranda Ragland, Jennifer Harrell, Molly Ripper, Seth Pearson, Rachel Granberg, Robin Verble

“…One subset of this group, wildland firefighters often engage in multifaceted careers that incorporate elements of resource planning, conservation management, community disaster relief, and operational management. Despite these STEM roles and nearly half (48%) of them having earned at least a bachelor's degree, usually in a STEM field, wildland firefighters are almost exclusively lumped with emergency responders in the scientific literature. …”
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HAP-assisted multi-aerial base station deployment for capacity enhancement via federated deep reinforcement learning by Lei Liu, Haoran He, Fei Qi, Yikun Zhao, Weiliang Xie, Fanqin Zhou, Lei Feng

“…Abstract Aerial base stations (AeBSs), as crucial components of air-ground integrated networks, are widely employed in cloud computing, disaster relief, and various applications. How to quickly and efficiently deploy multi-AeBSs for higher capacity gain has become a key research issue. …”
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Trauma following Hurricanes Maria and Michael: Complicated roles of hazard-related factors, negative coping strategies, and positive character strengths by Amy L. Ai, Arthur A. Raney, Hoa B. Appel

“…The findings provide guidance for subsequent prospective studies designed to improve clinical services and disaster relief.…”
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Assessment of Earthquake Destructive Power to Structures Based on Machine Learning Methods by Ruihao Zheng, Chen Xiong, Xiangbin Deng, Qiangsheng Li, Yi Li

“…The proposed method can assist in the fast prediction of engineering demand parameters of large-number structures, which facilitates the damage or loss assessments of regional structures for timely emergency response and disaster relief after earthquake.…”
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Distribution Pattern of Coseismic Landslides Triggered by the 2017 Jiuzhaigou Ms 7.0 Earthquake of China: Control of Seismic Landslide Susceptibility by Xiao-li Chen, Xin-jian Shan, Ming-ming Wang, Chun-guo Liu, Na-na Han

“…Additionally, it forms a foundation for further research, such as the rapid evaluation of post-earthquake landslides and identifying highly impacted areas to help decision makers prioritize disaster relief efforts.…”
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Mission-Critical Connectivity Enhanced by IAB in Beyond 5G: Interplay of Sidelink, Directional Unicasting, and Multicasting by Olga Chukhno, Nadezda Chukhno, Sara Pizzi, Antonino Orsino, Helka-Liina Maattanen, Johan Torsner, Antonella Molinaro, Antonio Iera, Giuseppe Araniti

“…Guaranteeing operational connectivity in emergency situations by means of prompt on-demand network re-configuration is crucial to carry out effective public protection and disaster relief actions. This article analyzes network configuration options enhanced by the integrated access backhaul (IAB) feature for 5G-Advanced and beyond mission-critical services. …”
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FWENet: a deep convolutional neural network for flood water body extraction based on SAR images by Jingming Wang, Shixin Wang, Futao Wang, Yi Zhou, Zhenqing Wang, Jianwan Ji, Yibing Xiong, Qing Zhao

“…Timely and accurate acquisition of flood inundation extent could provide technical support for relevant departments in the field of flood emergency response and disaster relief. Given the accuracy of existing research works extracting flood inundation extent based on Synthetic Aperture Radar (SAR) images and deep learning methods is relatively low, this study utilized Sentinel-1 SAR images as the data source and proposed a novel model named flood water body extraction convolutional neural network (FWENet) for flood information extraction. …”
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The Beidou high precision geological disaster monitoring system based on RTK edge calculation and its application analysis by Zhen ZHU, Siyi JIANG, Xiaoming LIU, Zhiyu LI

“…It can fully mine the data resources of the system, provide real-time forecasting services, effectively improve the accuracy and reliability of information collection, transmission, processing, analysis and forecast, comprehensively improve the ability of geological disaster monitoring, early warning and forecast management, and better provide scientific basis for the decision-making and command of management departments at all levels in emergency rescue and disaster relief.…”
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Revolutionizing building damage detection: A novel weakly supervised approach using high-resolution remote sensing images by Wenfan Qiao, Li Shen, Qi Wen, Quan Wen, Shiyang Tang, Zhilin Li

“…ABSTRACTRapidly estimating post-disaster building damage via high-resolution remote sensing (HRRS) imagery is essential for initial disaster relief. However, the complex appearance of building damage poses challenges for existing methods. …”
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Joint User Association and Power Control in UAV Network: A Graph Theoretic Approach by Mohammad Alnakhli, Ehab Mahmoud Mohamed, Wazie M. Abdulkawi, Sherief Hashima

“…Unmanned aerial vehicles (UAVs) have recently been widely employed as effective wireless platforms for aiding users in various situations, particularly in hard-to-reach scenarios like post-disaster relief efforts. This study employs multiple UAVs to cover users in overlapping locations, necessitating the optimization of UAV-user association to maximize the spectral and energy efficiency of the UAV network. …”
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A Comprehensive Survey of Unmanned Aerial Vehicles Detection and Classification Using Machine Learning Approach: Challenges, Solutions, and Future Directions by Md Habibur Rahman, Mohammad Abrar Shakil Sejan, Md Abdul Aziz, Rana Tabassum, Jung-In Baik, Hyoung-Kyu Song

“…Autonomous unmanned aerial vehicles (UAVs) have several advantages in various fields, including disaster relief, aerial photography and videography, mapping and surveying, farming, as well as defense and public usage. …”
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Joint UAV Trajectory Planning and LEO-Sat Selection in SAGIN by Ehab Mahmoud Mohamed, Mohammad Ahmed Alnakhli, Mostafa M. Fouda

“…This problem is of utmost importance when SAGIN is exploited for post-disaster relief services, where ground base stations (GBSs) within the post-disaster area are completely damaged or malfunctioned. …”
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Deducing Flood Development Process Using Social Media: An Event-Based and Multi-Level Modeling Approach by Yang Liu, Rui Li, Shunli Wang, Huayi Wu, Zhipeng Gui

“…It is beneficial to extract timely flood information and public sentiments towards flood events in order to perform better disaster relief and post-disaster management.…”
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PERAN PEMERINTAH DALAM MENANGGULANGI RESIKO BENCANA BANJIR DI KABUPATEN KOLAKA UTARA by Vidia Reski Awalia, Mappamiring Mappamiring, Andi Nuraeni Aksa

“…The results of this study indicate that the government's role in disaster relief in the Village Tahibua can be considered very good, because, based on the narrative of the people in the village Tahibua itself felt the programs that the government has carried out as well as the preparedness of intensified done well before they occur and when disaster. …”
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Factors affecting the preparedness of Helicopter Emergency Medical Services (HEMS) in disasters: a systematic review by Mahmoud Hatami, Milad Ahmadi Marzaleh, Mostafa Bijani, Mahmoudreza Peyravi

“…Abstract Background One of the most significant advantages of Helicopter Emergency Medical Service (HEMS) in disaster relief efforts is their ability to reach inaccessible or remote areas quickly. …”
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Remote Sensing Image Target Detection and Recognition Based on YOLOv5 by Xiaodong Liu, Wenyin Gong, Lianlian Shang, Xiang Li, Zixiang Gong

“…The main task of remote sensing image target detection is to locate and classify the targets of interest in remote sensing images, which plays an important role in intelligence investigation, disaster relief, industrial application, and other fields. …”
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High-performance electronic systems for complex LEO missions by Diez, Rodrigo J. (Rodrigo Jesus)

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Decision uncertainty minimization and autonomous information gathering by Bush, Lawrence A. M

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Two-echelon vehicle routing problem for post-disaster aid by Nguyen, Dang Viet Anh

“…The thesis develops a two-echelon vehicle routing problem for application in transportation and supply of necessities to affected areas in the response phase of disaster relief. The first echelon of the problem solves the routing decisions to transport supplies from the primary warehouse to intermediate warehouses or satellites located near the affected area. …”
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