Flood monitoring systems are crucial for flood management and consequence mitigation in flood prone regions. Different remote sensing techniques are increasingly used for this purpose. However, the different approaches suffer various limitations, including cloud and weather effects (optical data), and low spatial resolution and poor colour presentation (synthetic aperture radar data). This study fuses two data types (Landsat and Sentinel-1) to overcome these limitations and produce better quality images for a prototype flood application in the Vietnam Open Data Cube (VODC). Visual and quantitative evaluation of fused image quality revealed improvement in the images compared with the original scenes. Ground-truth data was used to develop the study flood extraction algorithm and we found a good agreement between our results and SERVIR Mekong (a joint initiative by the US agency for International Development (USAID), National Aeronautics and Space Administration (NASA), Myanmar, Thailand, Cambodia, Laos and Vietnam) maps. While the algorithm is run on a personal computer (PC), it has a clear potential to be developed for application on a big data system.
In the world of international shipping, effective communication is an essential ingredient to safe and efficient ship operations as “careless talk costs lives”. To maintain this effectiveness, marine orders, one of the most important factors of communication at sea, must be precise, simple and unambiguous to avoid confusions and error. With an aim to investigate more about the effectiveness of these marine orders, 190 marine orders used on board and in external communications were collected and analyzed quantitatively in terms of speech acts categories, directness, type of sentence, length and density of nautical terms. Based on the data analysis of these linguistic features, the similarities and differences between the orders used on board and in external communications are unveiled. Finally, all of these analyses and findings are summed up to make the most general and concise conclusions about the effectiveness of marine orders used in communications at sea.
Today, with the trend of internationalization, a growing number of universities and institutions worldwide are encouraging their students to take part in abroad programs or vocational training schemes in a foreign country. It is easy to find out that not only are English-speaking countries ideal destinations for education overseas, but many other countries where English is not the first language also attract millions of students worldwide. Studying in these countries, students will have to use English for academic purposes and at the same time learn the local languages to adapt to the host environment. Firsthand exposure to the native speech community coupled with formal classroom learning is said to create the optimal environment for learning an additional language and culture, thus, at the same time, would inevitably cause some effects on students’ identities. Based on the interviews with a focus group of international students studying at a university in Haiphong, the types of negotiated identities, the ways they alternate their behaviors, emotions, and cognitions to adapt to the new environment will be revealed. With these findings, some implications for curriculum and pedagogy which optimize opportunities for international students to develop their knowledge, openness, and adaptability are also suggested.
Currently, 55% of the world’s population lives in urban areas, this proportion is expected to increase to 68% by 2050. In the next 30 years, a large amount of the world's population is predictably concentrated in urban areas in the developing world. Ha Noi is the capital and largest city of Viet Nam which has the average growth rate of approximately 3% per year. Urban developmentmanagement has become an important issue in Viet Nam since the negative impacts of the urban sprawl on the environmental sustainability, life quality has been increasing as well. Hence, urban planning and management would be pivotal for creating the effective framework conditions for a sustainable development. The objective of our study is to explore the urban growth of Ha Noi using the Landsat images from 1975 to 2020 compared to the city planning. The volatility analysis information from classified urbanland maps is considered supportive for urban management and planning oriented work. In addition, the remote sensing data analysis is a useful tool to support planners, managers for urban management and decision. This study results showed the urban land area in study site city has been growing about 3 times and the largest rate (4-6 times) for the Dong Anh, Tu Liem, Gia Lam and smallest rate (10-25%) for Ba Dinh and Hai Ba Trung districts.
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