Model development of quantifying mangrove canopy  biophysical traits  based on radiative characteristics of remote sensing images for mangrove ecosystems monitoring.

Theoretical results: Establishing a scientific fundamental for quantifying mangrove canopy  biophysical traits based on radiative properties of remote sensing images
Applied results: Successfull development of a radiative transfer model for quantifying mangrove canopy biophysical traits, as well as providing an automated solution for mangrove forest cover classification using remotely sensed images.

- The cloud computing platform Google Earth Engine provides an automated solution for mangrove cover and changes monitoring, high performance of big spatial data processing, and straightforward transferability
- The radiative transfer model was first developed to estimate the biophysical mangrove canopy biophysical traits for mangrove forest health monitoring. The model may present high transferability and scalability to apply to different research areas.
- Combining these two methods brings a complete solution for mangrove monitoring not only by quality (biophysical properties, forest health) but also by quantity (forest cover, forest change).

- Scientific papers in referred journals (list):
+ Leon T. Hauser, Nguyen An Binh, Pham Viet Hoa, Nguyen Hong Quan, Joris Timmermans, 2020. Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization. Remote Sensing, 12(22). ISSN 2072-4292. https://doi.org/10.3390/rs12223729
+ Nguyen An Binh, Leon T. Hauser, Pham Viet Hoa, Giang Thi Phuong Thao, Nguyen Ngoc An, Huynh Song Nhut, Tran Anh Phuong, Jochem Verrelst, 2021. Quantifying mangrove leaf area index from Sentinel-2 imagery using hybrid models and active learning. DOI: 10.1080/01431161.2021.2024912. International Journal of Remote Sensing. Print ISSN: 0143-1161. Online ISSN: 1366-5901
+ Huynh Song Nhut, Nguyen An Binh, Nguyen Ngoc An, Tran Anh Phuong, Pham Viet Hoa, Giang Thi Phuong Thao, Vu Quang Huy, 2021. Estimating the biophysical properties of mangroves in Ngoc Hien district, Ca Mau province by radiative transfer model. Resources and Environment Magazine, no. 15 (365).  ISSN: 1859-1477
- Technological products:
+ Radiative transfer model for monitoring mangrove ecosystem from remote sensing data in Ngoc Hien district, Ca Mau province (Appendix 1).
+ Land cover map of Ngoc Hien district, Ca Mau province from 2000 to 2020: 14 maps at 1:100,000 scale, A1 paper, store in CD.
+ Map of mangrove forest changes in Ngoc Hien district, Ca Mau province over the period of 5 years, 10 years, 15 years and 20 years from 2000 to 2020: 10 maps at 1:100,000 scale, A1 paper, store in CD.
+ Geodatabase including field data, landcover and forest change, statistics in Ngoc Hien district, Ca province, geodatabase format, stored on CD
+ Source codes for automated land cover classification in Ngoc Hien district, Ca Mau province based on the Google Earth Engine, running directly through a web browser (Appendix 2)
- Other products (if applicable):
+ Support for Master student: 01