Vietnam Academy of Science and Technology

Project's information

Project's title	Remote SENSing to monitor water quality parameters in freshwater systems
Project’s code	QTPL01.03/23-24
Research hosting institution	Vietnam National Space Center
Coordinating unit, co-chair	Institute of Geophysics, Polish Academy of Sciences, Poland
Project leader’s name	PhD. Vu Anh Tuan and Assoc. Prof. PhD. Michael Nones
Project duration	01/01/2023 - 31/12/2024
Project’s budget	200 million VND
Classify	Excellent
Goal and objectives of the project	SENS aims to research the application of remote sensing in monitoring water quality parameters of various freshwater/brackish water systems in Vietnam and some regions in Europe. Another goal of SENS is to enhance cooperation between the two research institutions, the Polish Academy of Sciences and the Vietnam Academy of Science and Technology.
Main results	- 01 scientific paper published in the journal Advances in Space Research, listed in SCIE-Q1. - 01 scientific paper in a domestic journal (accepted for publication). - Provided training for 01 Ph.D. candidate: Ngô Đức Anh – project member, main supervisor: Dr. Vu Anh Tuan – project leader.
Novelty and actuality and scientific meaningfulness of the results	The project has published articles in international SCIE-Q1 journals, contributing to enhancing the publication capability of its members and contributing to the international publication results of the Vietnam National Space Center, Vietnam Academy of Science and Technology. The research results and scientific proposals have provided data and methods (processes) for subsequent studies and can be developed with other marine environmental parameters and on a larger scale, such as nationwide or regional studies.
Products of the project	- Publications: • Nguyen Hong Quang, Le Thi Thu Hang, Emilia Karamuz, Michael Nones. Modelling Sea and Brackish Water Quality of Ha Long City (Vietnam) Using Machine Learning and Remote Sensing Techniques, Advances in Space Research, 2024,ISSN 0273-1177, https://doi.org/10.1016/j.asr.2024.12.065 • Nguyễn Công Giang, Vũ Anh Tuân, Ngô Đức Anh, Nguyễn Thị Phương Hảo. Ứng dụng ảnh Landsat đa thời gian và phương pháp phân loại dựa trên đối tượng (object-based) trong theo dõi mở rộng đô thị tại thành phố Hạ Long giai đoạn 2000-2023. Tạp chí Khoa học Kiến trúc-Xây dựng (ISSN 1589-350X)
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