Science:
- Developed a new method for the rehabilitation monitoring of mangroves using a combination of optical satellite images and radar satellite images.
Application:
- For the rehabilitation monitoring of mangrove cover status, we used the Landsat satellite imagery series in the 48 year (1972-2020) to analyse the land cover change, and the results showed that the coverage of the mangroves in this study area has gradually increased over the years: 9.54% in 1972, 34.46% in 1988, 46.34% in 1995, 51.76% in 2000, 54.27% in 2005, 56.93% in 2010, 59.91% in 2015 and 63.70% in 2020. with the result that the accuracy after classification using satellite images is over 85%. The research also built 05 maps of mangrove forest changes in Can Gio district over the period as 1995-2000, 2000-2005, 2005-2010, 2010-2015 and 2015-2020 at the scale of 1:50,000.
- For assessment of mangrove structure using a combination of optical and radar satellite images, we used a combination of images taken from ALOS-2 PALSAR-2 and Landsat satellites to build models that detect the structural parameters of mangrove forests. These models can explain mangrove structural parameters such as the basal area of 91% (R2 = 0.91), the height of 60% (R2 = 0.60), the density of 52% (R2 = 0.52) and the biomass of 91% (R2 = 0.91). This study aims to provide results to study area for better management, monitoring, conservation as well as sustainable development of mangrove forests.

- Product 1: Method of using a combination of optical and radar satellite images in rehabilitation monitoring of mangrove in the study area. Scientific and technical criteria: Developed a new method for the rehabilitation monitoring of mangroves using a combination of optical satellite images and radar satellite images.
- Product 2: Dataset of models for estimating forest structural parameters such as density, diameter, height, and mangrove biomass. Scientific and technical criteria: A complete set of data on models (single variate, multivariate and combined) in the study of mangrove structure.
- Product 3: Map of changes in mangroves at the scale of 1:50,000 of the study area through the time points 1995, 2000, 2005, 2010, 2015, 2020. Scientific and technical criteria: Map of mangrove changes at 1:50,000 scale.
- Product 4: (Publication and Training)
Publication: Published 04 scientific articles:
1. Pham, Tien Dat, Nga Nhu Le, Nam Thang Ha, Luong Viet Nguyen, Junshi Xia, Naoto Yokoya, Tu Trong To, Hong Xuan Trinh, Lap Quoc Kieu, and Wataru Takeuchi. "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, no. 5 (2020): 777. (SCI-E).
2. 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).
3. Nguyễn Viết Lương*, Tô Trọng Tú, Trình Xuân Hồng, Phan Thi Kim Thanh, Le Mai Son, Le Quang Toan, Lưu Thế Anh, Trần Văn Thụy, Hán Phương Loan, Nguyễn Thanh Tuấn, Đào Văn Hải.  ĐÁNH GIÁ HIỆN TRẠNG LỚP PHỦ VÀ SINH KHỐI RỪNG NGẬP MẶN SỬ DỤNG ẢNH VỆ TINH QUANG HỌC VÀ RADAR: MỘT TRƯỜNG HỢP NGHIÊN CỨU TẠI KHU DỰ TRỮ SINH QUYỂN THẾ GIỚI CẦN GIỜ, TP. HỒ CHÍ MINH. Tạp chí Nông nghiệp và Phát triển Nông thôn (Đã có thư chấp nhận đăng).
4. Nguyễn Viết Lương*, Lưu Thế Anh. Thành lập bản đồ sinh khối rừng ngập mặn  Khu dự trữ sinh quyển thế giới Cần Giờ bằng tư liệu ảnh viễn thám kết hợp với dữ liệu điều tra ô tiêu chuẩn. Đặt hàng bởi Hội thảo “Thành phố Hồ Chí Minh-Tầm nhìn kinh tế biển kết nối chuỗi đô thị quốc tế, TP. HCM, 30/3/2021. Ủy Ban Nhân dân TP. Hồ Chí Minh.
Training: The successful guide for for 03 master students.