Article
Geosciences, Multidisciplinary
Blesilda P. Badoc-Gonzales, Ma Belinda S. Mandigma, Jackson J. Tan
Summary: The post-Haiyan government aims to develop tourism and rehabilitate MSMEs to recover Eastern Visayas Philippines. However, most government interventions did not cover many tourism MSMEs, but these businesses are positive that sustainable and resilient interventions will boost their future performance. In conclusion, a sustainable, resilient framework is proposed for post-disaster tourism MSMEs to become catalysts towards sustainably resilient tourism destinations and communities.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Development Studies
Jonathan Ensor, Heidi Tuhkanen, Michael Boyland, Albert Salamanca, Karlee Johnson, Frank Thomalla, Ladylyn Lim Mangada
Summary: The article discusses the importance of considering transformation when applying resilience in practice, using the example of community relocation in Tacloban, Philippines to illustrate the impact of transformation on the distribution of resilience among different residents in the community, highlighting the lack of political capability among poor residents to influence the relocation narrative.
Article
Chemistry, Analytical
Rita Der Sarkissian, Mario J. Al Sayah, Chadi Abdallah, Jean-Marc Zaninetti, Rachid Nedjai
Summary: This study focuses on the opportunities, challenges, and uncertainties resulting from integrating land use planning into efficient Disaster Risk Reduction (DRR). It proposes a flood hazard-informed land use planning approach, resulting in a land use planning matrix for flood risk reduction.
Article
Computer Science, Interdisciplinary Applications
Brian A. Johnson, Ronald C. Estoque, Xuecao Li, Pankaj Kumar, Rajarshi Dasgupta, Ram Avtar, Damasa B. Magcale-Macandog
Summary: Many developing countries in Asia are facing rapid urban expansion in climate hazard prone areas. In order to support climate resilient urban planning efforts, a methodology for simulating future urban land-use changes and evaluating potential flood exposure at a high spatial resolution and national scale was proposed. The case study in the Philippines revealed that climate resilient land-use plans and flood mitigation infrastructure should be developed/enforced in areas with high rates of future urban development in flood prone regions.
COMPUTERS ENVIRONMENT AND URBAN SYSTEMS
(2021)
Article
Geosciences, Multidisciplinary
Mark Anthony D. Abenir, Lea Ivy O. Manzanero, Vincenzo Bollettino
Summary: This study examined the role of community-based leadership in achieving disaster resilience in small island communities, focusing on the people of Pugad Island in the Philippines. The research findings revealed the strengths and limitations of their disaster risk reduction practices, and recommendations were given to enhance community disaster resilience in a more inclusive and sustainable manner.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2022)
Article
Geosciences, Multidisciplinary
Gerwyn P. Enerlan
Summary: This study examined the economic resilience and vulnerability levels of different regions in the Philippines from 2000 to 2018. The results showed variations in economic resilience and vulnerability across different periods. Factors such as average family savings and access to safe drinking water positively impacted the impact of disasters, while variables such as frequency of hydrometeorological disasters, rainfall volume, and loss of forest cover contributed to the vulnerability. The government should focus on improving the socioeconomic conditions of regions prone to hydrometeorological disasters.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Environmental Studies
Ervina A. Espina, Nico A. Canoy
Summary: This study delves into the post-disaster resettlement narratives through spatial inquiry, focusing on the experiences of Filipino informal settlers. By tracking the rhythms of people and objects in post-disaster resettlement stories, the study identified three key spatial narratives. These narratives shed light on the experiences of informal settlers moving in and out of disaster resettlement areas. The findings also highlight the theoretical, empirical, and practical implications of disaster resettlement specific to informal settlers.
Article
Environmental Studies
Maya E. Tessler, Elizabeth J. Traut
Summary: This study examines the hurricane vulnerability of two electric bus routes in New York City and finds that on-street fast chargers are the critical element. Temporary flood barriers and flood projections in charger site choices can enhance transportation resiliency.
TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT
(2022)
Article
Geosciences, Multidisciplinary
Abner Lawangen, Jessica Kate Roberts
Summary: Intangible cultural heritage (ICH) plays a significant role in disaster risk reduction and management (DRRM), but research often focuses on UNESCO-inscribed popular cultural heritage. This study in Benguet, Philippines, explores how indigenous knowledge, practices, technologies, and rituals have helped build coping strategies for typhoons and extreme events. The findings highlight the importance of local knowledge, cultural technologies, rituals, and indigenous early warning systems in strengthening DRRM at the local level. The state should increase efforts to mainstream ICH and involve indigenous people in disaster risk reduction interventions.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Environmental Sciences
Mamoru Miyamoto, Daiki Kakinuma, Tomoki Ushiyama, Abdul Wahid Mohamed Rasmy, Masaki Yasukawa, Della Grace Bacaltos, Anthony C. Sales, Toshio Koike, Masaru Kitsuregawa
Summary: This study aims to enhance flood resilience by improving society-wide disaster literacy, in response to the increased flood risk caused by climate change. In Davao City, Philippines, a comprehensive methodology was developed through collective governance to integrate knowledge from different disciplines and foster facilitators for communication between the science community and society.
Article
Geosciences, Multidisciplinary
Donato Di Ludovico, Chiara Capannolo, Giordano d'Aloisio
Summary: The University of L'Aquila Territori Aperti project focuses on disaster prevention and management, and reconstruction and development of affected areas. It involves developing disaster preparedness toolkit, collecting and analyzing good practices in post-disaster reconstruction management, and incorporating them into recovery plans. The research methodology includes structuring the toolkit and transfer of recommendations into recovery strategies. The study has been tested in case studies of the 2009 Abruzzo earthquake and the 2016-17 Central Italy earthquake.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Article
Environmental Sciences
Quang-Thanh Bui, Tien-Yin Chou, Thanh-Van Hoang, Yao-Min Fang, Ching-Yun Mu, Pi-Hui Huang, Vu-Dong Pham, Quoc-Huy Nguyen, Do Thi Ngoc Anh, Van-Manh Pham, Michael E. Meadows
Summary: This study combines CNN with XGBoost, LightGBM, and Catboost for land cover analysis in Hanoi, Vietnam. The results show that CNN-based XGBoost, LightGBM, and CatBoost outperform other methods, indicating that object-based image analysis combined with CNN-based gradient boosting significantly improves classification accuracies and offers alternative methods for land cover analysis.
Article
Nursing
Eun-Mi Kim, Gwang Suk Kim, Heejung Kim, Betty Pfefferbaum
Summary: This study aimed to adapt the CART assessment survey for Korean communities and evaluate the psychometric properties of K-CART. The results showed that K-CART had good test-retest reliability, internal consistency, content validity, and construct validity.
Article
Geosciences, Multidisciplinary
Marcel Gatto, Diego Naziri, Johanna San Pedro, Christophe Bene
Summary: Extreme weather events can have devastating effects on agricultural production, particularly in developing countries where rural households largely rely on agriculture. Root and tuber crops, such as cassava and sweetpotato, have been found to contribute to household resilience in the face of climatic shocks. Cultivating these crops can reduce the need for negative coping strategies and provide faster access to food in the aftermath of disasters like super-typhoons.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2021)
Article
Environmental Sciences
A. Moradi, G. R. Nabi Bidhendi, Y. Safavi
Summary: This study evaluates urban resilience in four neighborhoods in Mashhad, Iran by introducing various indicators to assess their disaster response capabilities. Findings reveal that Sajjad neighborhood shows higher resilience to face unexpected circumstances like earthquakes compared to the other three neighborhoods. The research suggests that additional measures should be taken to improve overall resilience, particularly in Khajeh Rabi, Hijab, and Honarestan neighborhoods.
INTERNATIONAL JOURNAL OF ENVIRONMENTAL SCIENCE AND TECHNOLOGY
(2021)
Review
Environmental Sciences
Saman Ghaffarian, Joao Valente, Mariska van der Voort, Bedir Tekinerdogan
Summary: Machine learning, especially deep learning, has become a key method in computer vision and remote sensing image processing. Researchers are exploring the use of attention mechanisms to enhance the performance of deep learning methods in remote sensing applications.
Review
Demography
Robert Stojanov, Sarah Rosengaertner, Alex de Sherbinin, Raphael Nawrotzki
Summary: This paper discusses the role of development cooperation actors in responding to climate change impacts on human mobility and migration, emphasizing the need for safe and orderly migration, especially in the context of rising nationalism and xenophobia. Integrated approaches across multiple policy sectors and levels of governance are necessary, and development cooperation actors can leverage data and convening power to promote more coordinated approaches within and across countries.
POPULATION AND ENVIRONMENT
(2021)
Review
Agriculture, Multidisciplinary
Saman Ghaffarian, Mariska van der Voort, Joao Valente, Bedir Tekinerdogan, Yann de Mey
Summary: This paper provides a literature review on the use of machine learning (ML) methods for farm risk management (FRM). The results show a significant increase in employing ML methods, including deep learning and convolutional neural networks, for FRM in recent years. The paper also identifies research gaps and open problems and provides insights and recommendations for future studies.
COMPUTERS AND ELECTRONICS IN AGRICULTURE
(2022)
Article
Geochemistry & Geophysics
Jyun-Ping Jhan, Norman Kerle, Jiann-Yeou Rau
Summary: The effectiveness of damaged building investigation relies on rapid data collection, using UAV and a backpack panoramic imaging system for recording damage status comprehensively. Integrating these for generating complete 3D point clouds is crucial for 3D measurement of damaged areas. This study evaluates the impact of using panoramic images and multiview aerial images for 3D mapping, highlighting the necessity of integrating both for rapid and complete point cloud generation.
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
(2022)
Article
Geography, Physical
Ning Zhang, Francesco Nex, Norman Kerle, George Vosselman
Summary: This paper presents a novel cascade network for studying semantic segmentation in low-light indoor environments, utilizing real and rendered images datasets. The proposed method achieves high accuracy in segmentation by decomposing low-light images and incorporating illumination invariant features. The results also demonstrate the importance of semantic information in enhancing reflectance restoration and segmentation accuracy.
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
(2022)
Article
Green & Sustainable Science & Technology
Raphael J. Nawrotzki, Verena Gantner, Jana Balzer, Thomas Wencker, Sabine Bruentrup-Seidemann
Summary: This study examines the geographic allocation of development projects in post-conflict regions, focusing on gender-focused projects. The findings suggest that an increase in battle deaths is associated with an increase in the number of development projects, and this relationship is amplified in areas with a higher proportion of female-headed households and educated women. The study highlights the willingness of development projects, especially gender-focused ones funded by Germany, to operate in post-conflict settings. Women also play an active role in influencing the allocation of development programs to specific regions.
Article
Environmental Sciences
Ning Zhang, Francesco Nex, George Vosselman, Norman Kerle
Summary: This research focuses on using deep learning to detect victims in disaster debris, proposes a method to generate harmonious composite images for training, and significantly improves detection accuracy.
Article
Environmental Sciences
Sofia Tilon, Francesco Nex, George Vosselman, Irene Sevilla de la Llave, Norman Kerle
Summary: This paper introduces a versatile UAV system that can carry out multiple road infrastructure monitoring tasks simultaneously in real-time. The system design considers computational strain and latency, and it is deployed on a unique typology of UAV. It includes important modules such as vehicle detection, scene segmentation, and 3D scene reconstruction, and has a good performance.
Article
Remote Sensing
Samer Karam, Francesco Nex, Bhanu Teja Chidura, Norman Kerle
Summary: This article presents a low-cost SLAM-based drone for creating exploration maps of building interiors. The experimental results indicate that the system is capable of creating quality exploration maps of small indoor spaces and handling the loop-closure problem.
Article
Environmental Sciences
Raphael J. J. Nawrotzki, Marina Tebeck, Sven Harten, Venya Blankenagel
Summary: For policies and programs aiming at reducing climate risk, obtaining sub-national vulnerability information is crucial to identify hotspots. In the case of Costa Rica, there is currently no sub-national climate vulnerability index. To address this gap, a climate vulnerability index at the canton level was constructed using geographic information systems and publicly available data. Thirteen spatial layers reflecting various dimensions of vulnerability were created, and an inverse variance weighted index was used to measure climate vulnerability at the canton-level.
JOURNAL OF ENVIRONMENTAL STUDIES AND SCIENCES
(2023)
Article
Geosciences, Multidisciplinary
Saman Ghaffarian, Firouzeh Rosa Taghikhah, Holger R. Maier
Summary: This study focuses on the application of Explainable AI in disaster risk management, providing a comprehensive literature review and analysis. It identifies key research directions and offers recommendations to enhance the effectiveness and interpretability of Explainable AI in DRM.
INTERNATIONAL JOURNAL OF DISASTER RISK REDUCTION
(2023)
Proceedings Paper
Geography, Physical
S. Karam, F. Nex, O. Karlsson, J. Rydell, E. Bilock, M. Tulldahl, M. Holmberg, N. Kerle
Summary: This paper presents the operations and mapping techniques of two drones used for mapping indoor spaces. Both the Crazyflie and MAX drones are capable of mapping cluttered indoor environments and providing sufficient point clouds for quick exploration. The results show that the LIDAR scanner-based system can handle larger office environments with minimal drift, while the Crazyflie drone performs well given its limited sensor configuration.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION I
(2022)
Proceedings Paper
Geography, Physical
N. Zhang, F. Nex, G. Vosselman, N. Kerle
Summary: This paper addresses the issue of deep detection networks in detecting buried victims. By generating realistic images and using an unsupervised generative adversarial network for harmonization, the accuracy of victim detection can be effectively improved.
XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III
(2022)
Review
Geosciences, Multidisciplinary
Seyedabdolhossein Mehvar, Kathelijne Wijnberg, Bas Borsje, Norman Kerle, Jan Maarten Schraagen, Joanne Vinke-de Kruijf, Karst Geurs, Andreas Hartmann, Rick Hogeboom, Suzanne Hulscher
Summary: Infrastructure systems are crucial in providing vital services to societies, and resilience in design can enhance community preparedness for hazards. However, the analysis of resilience in infrastructure systems within a cross-sectoral and interdisciplinary perspective is currently limited and fragmented. Key challenges include conceptual tensions, engineering and non-engineering measures, and future research directions, with a focus on integrating social, ecological, and technical resilience and developing new technologies for identifying recovery factors.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES
(2021)
Article
Meteorology & Atmospheric Sciences
Saman Ghaffarian, Sobhan Emtehani
Summary: Rapid urbanization and increasing population in cities, particularly in deprived neighborhoods, have heightened inequality and vulnerability to natural disasters. Monitoring these areas is crucial for providing information and supporting decision-makers and urban planners, especially after disasters. A method using high-resolution satellite images and machine learning was developed to accurately detect and monitor the reconstruction of slum areas in Tacloban city over a four-year period after Super Typhoon Haiyan in 2013.