Vietnam Academy of Science and Technology
Vietnam National Space Center
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> About VNSC > Department of Remote Sensing Technology, GIS&GPS

Department of Remote Sensing Technology, GIS&GPS

General information

Name of Department: Department of Remote Sensing Technology, GIS&GPS.

Directorate

  • Head of Department; Dr. Nguyen Viet Luong:
  • Deputy Head of Department:

Functions and Tasks

– Fundamental research, develop methods, solutions, tools, models, algorithms, and software for analyzing and processing remote sensing data.

– Application of remote sensing technologies, GIS and GPS for socio-economic development, national defence and security.

– Effective management, utilization, and efficient use of assets and equipments.

– Providing scientific and technological services in the field of remote sensing technology, GIS&GPS and other related fields.

– International cooperation and training in the field of remote sensing technology, GIS&GPS and other related fields.

– Performing other tasks and powers assigned by the Directorate of VNSC.

Contact information:

  • Head of Department: Dr. Nguyen Viet Luong
  • Address: A22, 18 Hoang Quoc Viet str., Cau Giay dist., Hanoi, Vietnam
  • Email: nvluong@vnsc.org.vn

Human Resources

–          Total: 7

–          Professors:

–          Associate Professors:

–          Doctors  of Science:

 –          Doctors: 1

–          Masters: 5

–          Bachelors: 1

–          Others:

Research activities:

– Fundamental research, develop of methods, solutions, tools, models, algorithms, and software for analyzing and processing remote sensing data.

– Research on the application of remote sensing technology, GIS, and GPS, combined with related sciences in management, planning, and rational use of natural resources, environmental protection, climate change, socio-economic development, and national defence and security.

Ongoing and completed projects/Topic

Completed projects

  1. Project 1: Research on the application of Remote Sensing and GIS technology to develop models for calculating the biomass reserve of natural forest ecosystems in Vietnam (Funding from Ministry of Science and Technology, Vietnam. National program/KC.13. Code project: VT-UD.05/17-20. (2017-2020).
  2. Project 3: Research on the application of remote sensing and GIS technology in the management and comprehensive assessment of natural resources and environment, serving the socio-economic development and tourism of Dak Nong province. National program/KC.13. Code project: VT-UD.06/18-20. (2018-2021).
  3. Project 2: Research methods of monitoring mangrove restoration in Vietnam using multiple remote sensing data sources. Code project: VAST01.07/20-21. VAST01 program. 2020-2021.
  4. Project 4: Research on methods of investigation and evaluation of trees outside of forests using remote sensing and GIS technology. A case in Thai Nguyen province. Code project: VAST 01.01/22-23. VAST01 program (2022-2023).

Ongoing projects

  1. Project 1: Research on machine learning method to extract information on current forest cover status to support forest fragmentation assessment, piloted in Dak Nong province. VAST01 program. 2022-2024.
  2. Project 2: Research on building an automatic land cover classification module for Landsat-8, Landsat-9, and Sentinel-2 images based on parallel computing method and reflectance spectrum structure. VAST01 programe. 2022-2025.
  3. Project 3: Research on developing a method to assess changes in deciduous broadleaf forests using optical and radar satellite image data based on Google Earth Engine platform.

Scientific publication:

  1. Brusseleers, L., Nguyen, V. G., Vu, K. C., Dung, H. H., Somers, B., & Verbist, B. (2023). Assessment of the impact of local climate zones on fine dust concentrations: A case study from Hanoi, Vietnam. Building and Environment, 242(March), 110430. https://doi.org/10.1016/j.buildenv.2023.110430. (SCI-E).
  2. Le, Q. T., Dang, K. B., Giang, T. L., Tong, T. H. A., Nguyen, V. G., Nguyen, T. D. L., & Yasir, M. (2022). Deep learning model development for detecting coffee tree changes based on Sentinel-2 imagery in Vietnam. IEEE Access. https://doi.org/10.1109/ACCESS.2022.3203405. (SCI-E).
  3. Pham, M.-P., Dac, L. X., Van Thanh, B., Duy, V. D., Huong, T. T. T., Huyen, D. N., … Hoi, N. D. (2022). Investigation of the Vegetation Coverage Dynamics and the Frequent Occurrence of Dominant Species on Coral Islands in the Truong Sa Islands, Vietnam. Biology Bulletin 2022, 1–11. https://doi.org/10.1134/S1062359022130155. (SCI-E).
  4. Le, T. T. A., Lan-Anh, N. T., Daskali, V., Verbist, B., Vu, K. C., Anh, T. N., … Willems, P. (2021). Urban flood hazard analysis in present and future climate after statistical downscaling: a case study in Ha Tinh city, Vietnam. https://doi.org/10.1080/1573062X.2021.1877744. (SCI-E).
  5. Giang, T. L., Dang, K. B., Le, Q. T., Nguyen, V. G., Tong, S. S., & Pham, V. M. (2020). U-net convolutional networks for mining land cover classification based on high-resolution UAV imagery. IEEE Access, 8, 186257–186273. https://doi.org/10.1109/ACCESS.2020.3030112. (SCI-E).
  6. Saah, D., Tenneson, K., Poortinga, A., Nguyen, Q., Chishtie, F., Aung, K. S., … Ganz, D. (2020). Primitives as building blocks for constructing land cover maps. International Journal of Applied Earth Observation and Geoinformation, 85, 101979. https://doi.org/10.1016/J.JAG.2019.101979. (SCI-E).
  7. Tong, S. S., Le, Q. T., Vu, P. L., Pham, T. L., Ha, L. T. T., Tong, T. H. A., & Nguyen, V. G. (2020). Coupling Satellite Images and Unmanned Aerial Vehicle Data to Monitor the Exploitation of Open-Pit Mine. Inżynieria Mineralna, 1(2), 291–299. https://doi.org/10.29227/IM-2020-02-35. (ESCI).
  8. Lap, Q. K., Luong, V. N*., Hong, X. T., Tu, T. T., & Thanh, K. T. P. (2021). EVALUATION OF MANGROVE REHABILITATION AFTER BEING DESTROYED BY CHEMICAL WARFARE USING REMOTE SENSING TECHNOLOGY: A CASE STUDY IN CAN GIO MANGROVE FOREST IN MEKONG DELTA, SOUTHERN VIETNAM. APPLIED ECOLOGY AND ENVIRONMENTAL RESEARCH, 19(5), 3897-3930 (SCI-E).
  9. Le Mai, S., Viet, L. N., Anh, K. L., Vu, G. N., & Do Van, T. (2024). Optimizing Paddy Field Mapping Using Multi-Temporal SAR Data based on Transformed Divergence Analysis: A Case Study in the Red River Delta, Vietnam. Journal of Agricultural Research (JAR)., 62(3), 193-204. (Simago, Q3)
  10. Luong, N. V., Duc Anh, N., Tu, T. T., Nandy, S., & Lap, Q. K. (2025). Assessing the Significance of Trees Outside Forests in Northeastern Vietnam: Integration of Field Survey and Remote Sensing Data. Applied Ecology and Environmental Research, 23(1), 041-060. (SCI-E).
  11. Luong, V. N., Tu, T. T., Khoi, A. L., Hong, X. T., Hoan, T. N., & Thuy, T. L. H. (2019). Biomass estimation and mapping of Can Gio Mangrove Biosphere Reserve in South of Viet Nam using ALOS-2 PALSAR-2 data. Applied Ecology & Environmental Research, 17(1). (SCI-E).
  12. Nguyen, V. L., Dao, D. T., Le, M. S., & Nguyen, M. H. (2024). Assessing the Correlation Between Spectral Indices and Land Surface Heat Fluxes by Remote Sensing Technology: A Case Study in Thai Binh Province, Red River Delta, Vietnam. Remote Sensing in Earth Systems Sciences, 7(3), 159-171. (SCOPUS).
  13. Pham, T. D., Le, N. N., Ha, N. T., Nguyen, L. V., Xia, J., Yokoya, N., … & Takeuchi, W. (2020). Estimating mangrove above-ground biomass using extreme gradient boosting decision trees algorithm with fused sentinel-2 and ALOS-2 PALSAR-2 data in can Gio biosphere reserve, Vietnam. Remote Sensing, 12(5), 777. (SCI-E).
  14. Chu, H. X., Le, T. Q., Nguyen, N. M., Tong, A. H. T., Bui, H. Q., Hoang, H., … & Do, A. N. T. (2025). Assessment of the nursery environment and distribution of Ayu, Plecoglossus altivelis (Actinopterygii, Osmeriformes, Plecoglossidae), in Vietnam. Acta Ichthyologica et Piscatoria, 55, 19-29. (SCI-E).
  15. Hoàng Văn Thắng, Hà Thị Thu Huế, Đỗ Nhật Huỳnh, Hoàng Hải Dương và Nguyễn Viết Lương (2021). Research on the ecosystem services of Thach Phu nature reserve, Ben Tre Province for conservation and sustainable development.. Environmental Journal. Special Issue IV,, December, 2021.
  16. Luong, V. N.*, Tu, T. T., Thanh, K. T. P., & Son, M. L. Relationship between Tropical Forest Biomass, Woody Volume and Backscattering Intensity of ALOS-2 SAR Data. SF J Environ Earth Sci. 2020; 3 (1), 1035.
  17. Ngo Duc Anh*, Vu Anh Tuan, Nguyen Tien Cong, Nguyen Viet Luong and Nguyen Thanh Binh (2025). A Combination of ALOS-2, Sentinel-1 Imagery for Rapid Deforestation Detection in Vietnam (2025). The GIS-IDEAS Journal. ISSN 2759-7369 (Online). Vol. 1, No. 1, 29-38.
  18. Nguyễn Viết Lương (2023). Half a century of restoration, conservation, and development of mangrove forests in Can Gio at Vietnam’s First Biosphere Reserve: Prospects in the space era. National conference Report. Geography Institute – 30 years of renovation and sustainable development. November 2023.
  19. Nguyễn Viết Lương, Lê Mai Sơn, Tô Trọng Tú, Kiều Quốc Lập, Đặng Diệu Hà (2023). Assessment of the current status, role, and proposed solutions for the development of scatter trees outside forests – Pilot project in Thai Nguyen province. Environmental Journal, No. 8-2023..
  20. Nguyễn Viết Lương, Trần Văn Thụy, Phan Thị Kim Thanh, Nguyễn Phúc Hải, Hoàng Hải, Nguyễn Quỳnh Anh, Trần Bình Minh (2023). Building a model and establishing biomass maps of special use forests in northwestern Vietnam using multi-source satellite image data – case study in xuân nha nature reserve, sơn la province. Environmental Journal. ISSN 1859-042X. No. 12.2023.
  21. Nguyen, L. V.*, Van Nguyen, H., Kieu, L. Q., To, T. T., Phan, T. K. T., Pham, T. A., & Tran, C. K. (2020). Seasonal effects of backscattering intensity of alos-2 palsar-2 (l-band) on retrieval forest biomass in the tropics. journal of geoscience and environment protection, 8(11), 26-40.
  22. Tống Thị Huyền Ái, Nguyễn Vũ Giang, Nguyễn Phúc Hải, Phan Văn Trọng (2024). Application of satellite imagery and landscape indices in studying forest fragmentation: a pilot study in dak nong from 2015 to 2021. journal of resources and environment. issn 0866-7608. no. 14 (436): 7/2024..
  23. Lương, N. V., Khắc, Đ. V., Chiến, N. Q., Vân Anh, N. T., & Sơn, N. T. T. (2024). Application of remote sensing and gis technology to estimate biomass of three-leaved pine (pinus kesiya royle ex gordon) in the tuyền lâm lake area, da lat city, lam dong province. journal of surveying and mapping science, (61), 33-40.
  24. Nguyễn Viết Lương, Tô Trọng Tú, Nguyễn Phúc Hải, Hoàng Hải, Nguyễn Quỳnh Anh (2025). Assessing carbon stocks and timber volume of trees outside forests using remote sensing and GIS technology. Scientific conference celebrating the 50th anniversary of the Vietnam Academy of Science and Technology. Subcommittee on Information Technology, Electronics, Automation, and Space Technology. Hanoi, 14/03/2025.
  25. Nguyễn Vũ Giang, Floris Abrams, Bruno Verbist, Vũ Kim Chi (2025). Preliminary Study on the Application of Remote Sensing for Local Climate Zone Mapping in Vietnam. Scientific conference celebrating the 50th anniversary of the Vietnam Academy of Science and Technology. Subcommittee on Information Technology, Electronics, Automation, and Space Technology. Hanoi, 14/03/2025.
  26. Nguyen Vu Giang (2025). Evaluating the potential of satellite data and machine learning models for land cover classification in support of emission inventory – A pilot study in Dak Nong. IOP Conference Series: Earth and Environmental Science (SCOPUS).

Book

Nguyen Viet Luong (Editor-in-Chief), To Trong Tu, Trinh Xuan Hong, Phan Thi Kim Thanh, Le Mai Son, Nguyen Vu Giang, Le Quang Toan (2024). Monitoring the restoration of mangrove vegetation in coastal areas of Can Gio district, Ho Chi Minh City, Vietnam using multiple remote sensing data sources; Publishing House of Natural Science and Technology.

Training – Collaboration

  • Currently, the department’s staff are collaborating and participating in training with domestic research institutes and universities such as: Graduate University of Science and Technology (Vietnam Academy of Science and Technology), Vietnam National University, Hanoi National University of Education, Thai Nguyen University, Forestry University of Vietnam.
  • International research cooperation with: Japan Aerospace Exploration Agency (JAXA), Chiba University (Japan), Indian Institute of Remote Sensing.

Products:

  • Remote sensing image processing

  • Biomass, carbon, CO2 sequestration by forest

  • Mangrove monitoring

Photos