Data Augmentation Method for Extracting Partially Occluded Roads From High Spatial Resolution Remote Sensing Images by Xuejun Guo, Ruisen Zhou

“…Road extraction from high spatial resolution remote sensing images (HSRRSI) is valuable for thematic mapping, autonomous driving, and natural disaster assessment. Deep neural networks have become a powerful tool for road extraction from HSRRSI. …”
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Pembuatan Alat Pendeteksi Banjir di Sungai Kawasan Wisata Desa Rindu Hati Bengkulu Tengah by Junas Haidi, Hendy Santosa, Alex Surapati

“…In addition, the scene is very beautiful and it has the potential for a natural disaster if the rainy season occurs floods which can occur and the impact is cause loss of property and life. …”
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Teologi Bencana dalam Perspektif M. Quraish Shihab by Khafidhoh Khafidhoh

“…The research shows that natural disaster occurred, in Quraish Shihab’s view, due to the imbalance of environment. …”
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An Unmanned Aerial Vehicle (UAV) System for Disaster and Crisis Management in Smart Cities by Wedad Alawad, Nadhir Ben Halima, Layla Aziz

“…Emergency response operations, such as those that follow a natural disaster, are one of the civil applications that could benefit from the use of UAVs in disaster and crisis management. …”
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Silicon Enhances Plant Resistance of Rice against Submergence Stress by Taowen Pan, Jian Zhang, Lanmengqi He, Abdul Hafeez, Chuanchuan Ning, Kunzheng Cai

“…Flooding is an important natural disaster limiting rice production. Silicon (Si) has been shown to have an important role in alleviating varied environmental stress. …”
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Short-Term Rainfall Prediction Based on Radar Echo Using an Improved Self-Attention PredRNN Deep Learning Model by Dali Wu, Li Wu, Tao Zhang, Wenxuan Zhang, Jianqiang Huang, Xiaoying Wang

“…Accurate short-term precipitation forecast is extremely important for urban flood warning and natural disaster prevention. In this paper, we present an innovative deep learning model named ISA-PredRNN (improved self-attention PredRNN) for precipitation nowcasting based on radar echoes on the basis of the advanced PredRNN-V2. …”
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A STUDY OF THE ACTIVE CONTROLLED USEFUL LOAD PARACHUTE SYSTEMS IN TERMS OF SUBSYSTEM DESIGN, TEST AND METHODS by Ümit Mercan, Gökhan İnalhan

“…Taking into account the geograhy and the geostrategic location of Turkey, it has become a necessity to perform tasks which are time sensitive such as natural disaster, search and rescue and airlift of ammunition and supplies to operation zones by using unmanned parachute systems. …”
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LS-YOLO: A Novel Model for Detecting Multiscale Landslides With Remote Sensing Images by Wenjie Zhang, Zhiheng Liu, Suiping Zhou, Wenjuan Qi, Xinjun Wu, Tianyu Zhang, Ling Han

“…The landslide is a widespread and devastating natural disaster, posing serious threats to human life, security, and natural assets. …”
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A Cross-Domain Change Detection Network Based on Instance Normalization by Yabin Song, Jun Xiang, Jiawei Jiang, Enping Yan, Wei Wei, Dengkui Mo

“…Change detection is a crucial task in remote sensing that finds broad application in land resource planning, forest resource monitoring, natural disaster monitoring, and evaluation. In this paper, we propose a change detection model for cross-domain recognition, which we call CrossCDNet. …”
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Design an efficient data driven decision support system to predict flooding by analysing heterogeneous and multiple data sources using Data Lake by Sreepathy H V, B Dinesh Rao, Mohan Kumar J, B Deepak Rao

“…Floods are the most common natural disaster in several countries throughout the world. …”
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Long-Term Benefits of Coastline Ecological Restoration in China by Yaowen Zhang, Haoli Lin, Guanqiong Ye

“…Coastline ecological restoration is a critical approach for improving the coastal ecological environment and natural disaster mitigation capacity. Zhejiang Province, with the longest coastline in China, has carried out a three-year action of coastline remediation and restoration, expecting to complete the 300-km coastline restoration by 2020 as part of China’s coastline restoration project. …”
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Short-Range Transportation Using Unmanned Aerial Vehicles (UAVs) during Disasters in Japan by Koki Yakushiji, Hiroshi Fujita, Mikio Murata, Naoki Hiroi, Yuuichi Hamabe, Fumiatsu Yakushiji

“…This study examined UAV-assisted transportation in Japan, a natural disaster hotspot, with a focus on the potential uses of UAVs in situations where traffic blockages make ground transportation impossible. …”
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Professional Burnout of Medical Workers Before, During and After the Pandemic by A.Y. Suroegina, A.B. Kholmogorova

“…As a conceptualization of the data obtained on the professional burnout of medical workers before, during and after the pandemic, there was a model of psychological experience of a natural disaster. Studies have shown that certain groups of medical workers are more susceptible to professional burnout. …”
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COVID-19 Pandemic and Surge Capacity by Miraç Nevzat KARAKOÇ, Özcan ERDOĞAN

“…Projecting the underground car parks of the hospitals as underground hospitals in case of a nature- related disaster, and evaluating other closed areas within this scope; Again, the parks and reserve areas in the cities should be planned for the establishment of field hospitals against different scenarios against each natural disaster situation. With these plans, physical area demands that will occur in response to the overflow capacity can be supplied.…”
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TAXOMETRICS CLASSIFICATION (HIERARCHICAL AND ORDINATION) OF AQUATIC AND SEMI-AQUATIC MOSSES: A PRELIMINARY MODEL TO BRYODIVERSITY MANAGEMENT by MIN JET LOO, T. A. DELVALLS CASILLAS, L. MARTIN DIAZ

“…It serves the environments by preventing natural disaster (flooding), maintaining the quality of the water body and filter or treats the pollutants naturally. …”
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Global rainfall erosivity database (GloREDa) and monthly R-factor data at 1 km spatial resolution by Panos Panagos, Tomislav Hengl, Ichsani Wheeler, Pawel Marcinkowski, Montfort Bagalwa Rukeza, Bofu Yu, Jae E. Yang, Chiyuan Miao, Nabansu Chattopadhyay, Seyed Hamidreza Sadeghi, Yoav Levi, Gunay Erpul, Christian Birkel, Natalia Hoyos, Paulo Tarso S. Oliveira, Carlos A. Bonilla, Werner Nel, Hassan Al Dashti, Nejc Bezak, Kristof Van Oost, Sašo Petan, Ayele Almaw Fenta, Nigussie Haregeweyn, Mario Pérez-Bidegain, Leonidas Liakos, Cristiano Ballabio, Pasquale Borrelli

“…The produced monthly raster data (GeoTIFF format) may be useful for soil erosion prediction modelling, sediment distribution analysis, climate change predictions, flood, and natural disaster assessments and can be valuable inputs for Land and Earth Systems modelling.…”
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A Comprehensive Case Study on the Historical Earthquakes in Major Fault Zones of Bangladesh by Saif Ahmed Santo, Akhi Sultana Fariha

“… An earthquake is a fatal natural disaster that occurs suddenly without any prior signal. …”
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The Outbreak of Covid-19 as an Overmacht Claim in Credit Agreements by Merry Tjoanda, Yosia Hetharie, Marselo V.G Pariela, Ronald F. Sopamena

“…Based on the results of the research, the Covid-19 Pandemic is a non-natural disaster, so it is categorized as a relative overmacht, so the result of the comparative overmacht law in the credit agreement due to the Covid-19 Pandemic in Ambon City has not changed the risk burden in the sense that the Debtor still fulfills their achievements after the outbreak of Covid - 19 Pandemic is over. …”
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Community Preparedness for Earthquakes Based on Settlement Environment Analysis. by Nurrobikha Nurrobikha, Novrikasari Novrikasari, Yuanita Windusari, Misnaniarti Misnaniarti, Ikhsan Ikhsan, Andries Lionardo, Azhar Kholiq Affandi, Henni Febriawati, Pitri Noviadi

“…This study aims to examine the relationship between the residential environment and natural disaster preparedness in Sepang Bay, Bengkulu Regency. …”
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SMD-Net: Siamese Multi-Scale Difference-Enhancement Network for Change Detection in Remote Sensing by Xiangrong Zhang, Ling He, Kai Qin, Qi Dang, Hongjie Si, Xu Tang, Licheng Jiao

“…Change detection, as an important task of remote sensing image processing, has a wide range of applications in many aspects such as land use and natural disaster assessment. Recent change detection methods have achieved good results. …”
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