2022.8.8 Research article published in Natural Hazards
The following paper by Dr. Liu Fei, a former Ph.D. student in our laboratory, has been published in Natural Hazards. The paper dealt with a multi-hazard study of storm surges, floods, and tsunamis in Tokyo Bay, Japan. Liu, F., Sasaki, J., Chen, J. and Wang, Y. Numerical assessment of coastal multihazard vulnerability in Tokyo Bay. Nat Hazards, 2022. https://doi.org/10.1007/s11069-022-05533-2 For the time being, it can only be viewed here.
The server has been updated to improve response time.
The response speed has been improved by the migration of the contracted Sakura's server to a new server. According to Sakura, it is up to five times faster.
Keynote speech at EASEC-17 on 28 June 2022
Dr. Sasaki will deliver a keynote speech at 17th East Asia-Pacific Conference on Structural Engineering and Construction (EASEC-17). The title is Towards a resilient and abundant urban bay under climate change through adaptation and mitigation measures linked with ecosystem services.
Participation in a project commissioned by the Fisheries Agency
Since FY2022, we have participated in the Fisheries Agency's "Development of technologies to mitigate damage caused by imbalanced nutrients, red tides, and hypoxic water masses," as part of the Fisheries Environment Improvement Promotion Project. We collaborate with the Chiba Prefectural Fisheries Research Center and Fisheries Technology Institute, Japan Fisheries Research and Education Agency, to examine nutrient management policies for Tokyo Bay.
Briefing session on May 8, 2022
Briefing session is scheduled on May 8, 2022. Please see the details here. If you are not available on May 8, you are welcome to request us for a personal briefing session before the application period.
2022.2.2 Research article published in Earth Surface Processes and Landforms
The following paper by Dr. Kimhuy et al., a doctoral student in the Joint Education Program of AUN/SEED-Net, has been published in an international journal of Earth Surface Processes and Landforms. The paper discusses the mechanism of shoreline change over the past 70 years from the Chao Phraya River to the Bang Pakong River in the upper Gulf of Thailand, based on aerial photographs and other data. It is noteworthy that the installation of bamboo fences on the southeast coast of the Bang Pakong River, where natural mangroves extended due to the abundant sediment supply, may not contribute to the regeneration of mangroves because the bamboo fences interfere with alongshore […]
2021.12.1 Research article published in Remote Sensing
We are pleased to announce that the following research article by Chen Jundong, Ph.D. candidate in our laboratory, has been published in Remote Sensing. Congratulations to Chen! Chen, J. and Sasaki, J. Mapping of Subtidal and Intertidal Seagrass Meadows via Application of the Feature Pyramid Network to Unmanned Aerial Vehicle Orthophotos. Remote Sensing, 13(23): 4880, 2021. DOI
2021.4.20 Research article published in Pure and Applied Geophysics
We are pleased to announce that the following research article by Dr. Parastoo Salah, a former Ph.D. student and currently a visiting researcher in our laboratory, has been published in Pure and Applied Geophysics. Congratulations to Dr. Parastoo! Salah, P., Sasaki, J. and Soltapour, M. Comprehensive probabilistic tsunami hazard assessment in the Makran Subduction Zone. Pure Appl. Geophys., 2021. DOI
2021.1.6 Paper published in Sustainability
A manuscript submitted by Ms. Parastoo Salah (GPSS-GLI doctoral student) was accepted in Sustainability, MDPI. This paper identifies knowledge, awareness, and attitudes of local people toward tsunami in the context of coastal disaster mitigation in the southern coast of Iran. Congratulations, Parastoo! Salah, P. and Sasaki, J. Knowledge, awareness, and attitudes toward tsunamis: A local survey in the southern coast of Iran. Sustainability 13(2), 449, 2021. URL DOI
2020.12.25 Paper published in Remote Sensing
A manuscript submitted by Mr. Win Sithu Maung (former Master student) was accepted in Remote Sensing, MDPI. This paper describes development of an accurate extraction method of mangrove forests using satellite images and deep neural networks, which was applied to evaluate the natural recovery of mangroves in abandoned sites after illegal land use in a mangrove reserve in Myanmar. Congratulations, Win! Maung, W. S. and Sasaki, J.: Assessing the natural recovery of mangroves after human disturbance using neural network classification and Sentinel-2 imagery. Remote Sensing, 13(1), 52, 2021. DOI