A Fuzzy Comprehensive Evaluation Method Based on AHP and Entropy for a Landslide Susceptibility Map by Hongliang Zhao, Leihua Yao, Gang Mei, Tianyu Liu, Yuansong Ning

“…Landslides are a common type of natural disaster in mountainous areas. As a result of the comprehensive influences of geology, geomorphology and climatic conditions, the susceptibility to landslide hazards in mountainous areas shows obvious regionalism. …”
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Remote Sensing Image Registration Using Multiple Image Features by Kun Yang, Anning Pan, Yang Yang, Su Zhang, Sim Heng Ong, Haolin Tang

“…Remote sensing image registration plays an important role in military and civilian fields, such as natural disaster damage assessment, military damage assessment and ground targets identification, etc. …”
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Analysis of the intellectual and social structure of health system response plan to earthquake studies adopting word co-occurrence and narrative approaches by Seyed Hossein Mousavi, Hamidreza Khankeh, Golrokh Atighechian, Mohammad H Yarmohammadian, Mehrdad Memarzadeh

“…BACKGROUND AND AIM: Earthquake is a natural disaster severely affecting the societies' health, hygiene, and welfare as such the most effective method to respond to its damages is to develop a readiness plan. …”
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Developing Indicators to Improve Safety and Security of Citizens in Case of Disruption of Critical Infrastructures Due to Natural Hazards—Case of a Snowstorm in Finland by Riitta Molarius, Jaana Keränen, Tuula Kekki, Pirjo Jukarainen

“…Together with the workshop participants (authorities and other service providers of critical infrastructures) we tested whether the CLD tool could help identify three types of indicators (threat factors, vulnerability, and resilience) that can help in assessing the risk level when a natural disaster hits. Our case study was a snowstorm, still a frequent phenomenon in the Nordic countries. …”
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Multi UAV Coverage Path Planning in Urban Environments by Javier Muñoz, Blanca López, Fernando Quevedo, Concepción A. Monje, Santiago Garrido, Luis E. Moreno

“…Recently, the use of Unmanned Aerial Vehicles (UAVs) has become more proficient in various applications such as surveillance, terrain coverage, mapping, natural disaster tracking, transport, and others. The aim of this paper is to design efficient coverage path planning collision-avoidance capable algorithms for single or multi UAV systems in cluttered urban environments. …”
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Assessing the Economic Damage of Potential Flooding Zones by Combining Cadaster and Land Use Data in the Larnaca Region, Cyprus by Alexandra Ćulibrk, Ourania Tzoraki

“…Modeling potential floods and studying historic ones are key parameters to prevent damages from this natural disaster. European Union Directive 2007/60/EK obligated Member States to compile flood risk maps, showing the potential flood’s extent and depth. …”
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Rapid Glacier Shrinkage in the Gongga Mountains in the Last 27 Years by Shuaibo Zhou, Zhangli Sun, Peijun Sun

“…The results provide a scientific basis for water resources management, ecological environmental protection, and natural disaster protection in southeast Tibet for decision making.…”
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Disaster risk analysis of technological failure of industrial estate: a case study by Turniningtyas Ayu Rachmawati, Dwi Rahmawati

“…While studies on natural disaster risks have been widely conducted, non-natural (manmade) disaster risk studies are relatively scant, parti­cularly for technological failure disasters. …”
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Developing a Reliability Index of Low Impact Development for Urban Areas by Yang Ho Song, Jung Ho Lee, Eui Hoon Lee

“…Our results indicate the need for efficient management of natural disaster risks that may occur in urban catchments. …”
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The Role of GNSS-RTN in Transportation Applications by Sajid Raza, Ahmed Al-Kaisy, Rafael Teixeira, Benjamin Meyer

“…Geospatial location services are not only used in measuring ground distances and mapping topography; they have also become vital in many other fields such as aerospace, aviation, natural disaster management, and agriculture, to name but a few. …”
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Drone-Based Community Assessment, Planning, and Disaster Risk Management for Sustainable Development by Daniel Whitehurst, Brianna Friedman, Kevin Kochersberger, Venkat Sridhar, James Weeks

“…Computer vision/machine learning methods are used to create a classified 3D cadastre that contextualizes and quantifies potential natural disaster risk to existing or planned infrastructure. …”
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Post-disaster building damage assessment based on improved U-Net by Liwei Deng, Yue Wang

“…Abstract When a severe natural disaster occurs, the extraction of post-disaster building damage information is one of the methods to quickly obtain disaster information. …”
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High-Resolution Aerial Photo Categorization Model by Cross-Resolution Perceptual Experiences Transfer by Sida Li, Ye Liu

“…Understanding the categories of a rich variety of high-resolution aerial photos is an indispensable technique for many applications, such as intelligent transportation, natural disaster prediction, and smart agriculture. In this work, we propose a cross-resolution perceptual experiences transfer framework for categorizing high-resolution aerial photos, focusing on leveraging the perceptual features from low-resolution aerial photos to enhance the feature selection of high-resolution ones. …”
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UAV-Based Heating Requirement Determination for Frost Management in Apple Orchard by Wenan Yuan, Daeun Choi

“…Frost is a natural disaster that can cause catastrophic damages in agriculture, while traditional temperature monitoring in orchards has disadvantages such as being imprecise and laborious, which can lead to inadequate or wasteful frost protection treatments. …”
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Supporting self-recovery in post-conflict situations: a case study of Syria by Taylor Raeburn-Gibson

“…Of the little existing knowledge and best practices regarding self-recovery support methods, most has been developed for natural disaster contexts, and not post-conflict. Post-conflict situations are much more complex than disasters due to a multitude of economic, social, and other factors. …”
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Enhanced Multi-Stream Remote Sensing Spatiotemporal Fusion Network Based on Transformer and Dilated Convolution by Weisheng Li, Dongwen Cao, Minghao Xiang

“…Remote sensing images with high temporal and spatial resolutions play a crucial role in land surface-change monitoring, vegetation monitoring, and natural disaster mapping. However, existing technical conditions and cost constraints make it very difficult to directly obtain remote sensing images with high temporal and spatial resolution. …”
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Interweaving Computational and Tacit Knowledge to Design Nature-Based Play Networks in Underserved Communities by Yiru Zhang, Ken Tamminga, Hong Wu

“…Children are often the most disadvantaged cohort during miserable situations of natural disaster, economic crisis, and environmental degradation. …”
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Flood Susceptibility Mapping Using Random Forest Machine Learning and Generalized Bayesian Linear Model by Mohammad Taghi Avand, Hamid Reza Moradi, Mehdi Ramazanzadeh

“…Today, the phenomenon of flooding is one of the most complex hazardous events that, more than any other natural disaster, causes deaths and finances every year in different parts of the world. …”
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Multivariate Drought Frequency Analysis and Risk Assessment: A case study for Kahramanmaras Province by Musa Eşit, Mehmet İshak Yüce

“…Drought is a natural disaster that occurs in nearly all climatic regions as a result of seasonal or longer-term lack of precipitation. …”
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A Novel Simulated Annealing Based Strategy for Balanced UAV Task Assignment and Path Planning by Lisu Huo, Jianghan Zhu, Guohua Wu, Zhimeng Li

“…The unmanned aerial vehicle (UAV) has drawn increasing attention in recent years, especially in executing tasks such as natural disaster rescue and detection, and battlefield cooperative operations. …”
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