thư viện
Ha Nam Thang
Expert in GIS, Remote Sensing and Machine Learning for:
Mapping and change assessment for blue carbon ecosystem
Environmental modeling and impact assessment
Marine spatial planning for sustainable aquaculture and resource conservation
Email: hanamthang@hueuni.edu.vn
Affiliation: Department of Fisheries Management, University of Agriculture and Forestry (Hue University)
Working address: 102 Phung Hung street, Hue city, Viet Nam
Facebook: https://www.facebook.com/ha.thang.9
Twitter: https://twitter.com/hanamthang
Google site: https://sites.google.com/hueuni.edu.vn/hanamthang
Environmental Science and Pollution Research
Geocarto International
September 2003 - September 2007: University of Agriculture and Forestry (Hue University, Viet Nam) in the Field of Aquaculture
August 2011 - August 2013: University of Tsukuba (Japan) in the Field of Environmental Science (Msc)
February 2018 - September 2021: The University of Waikato (New Zealand) in the Field of Earth Science (PhD)
GIS spatial analysis
Interpolation with IDW, Kriging techniques
Spatial planning using Multi-Criteria Evaluation (MCE)
GIS mapping and analysis
Atmospheric correction for coarse/ medium/ high/ very high spatial resolution using the apps of ACOLITE, Sen2Cor, MAYA, iCOR
Water column correction using DII, BRI and bio-optical methods
Time series satellite image analysis
Raster image analysis
Remote sensing-based mapping/ change assessment of blue carbon ecosystem
GIS & Remote sensing-based valuation of blue carbon ecosystem
Employment of the state-of-the-art machine learning algorithms for regression/ classification works
Apply meta-heuristic algorithms for feature selection
Apply meta-heuristic algorithms and Bayesian model for the optimization of machine learning model's hyper-parameters
Develop Web-GIS application for data visualization, query and exporting desired thematic map
Deployment of Web-GIS application to GIS server
Random forest and nature-inspired algorithms for mapping groundwater nitrate concentration in a coastal multi-layer aquifer system
Zoning Seagrass Protection in Lap An Lagoon, Vietnam Using a Novel Integrated Framework for Sustainable Coastal Management
DOI: http://dx.doi.org/10.1007/s13157-021-01504-8
Comparing the performance of machine learning algorithms for remote and in situ estimations of chlorophyll-a content: A case study in the Tri An Reservoir, Vietnam
DOI: https://doi.org/10.1002/wer.1643
Learning from Multimodal and Multisensor Earth Observation Dataset for Improving Estimates of Mangrove Soil Organic Carbon in Vietnam
Detecting Multi-Decadal Changes in Seagrass Cover in Tauranga Harbour, New Zealand, Using Landsat Imagery and Boosting Ensemble Classification Techniques
DOI: https://doi.org/10.3390/ijgi10060371
Evaluating the predictive power of different machine learning algorithms for groundwater salinity prediction of multi-layer coastal aquifers in the Mekong Delta, Vietnam
A Review of Remote Sensing Approaches for Monitoring Blue Carbon Ecosystems: Mangroves, Seagrassesand Salt Marshes during 2010–2018
DOI: 10.3390/s19081933
A Comparative Assessment of Ensemble-Based Machine Learning and Maximum Likelihood Methods for Mapping Seagrass Using Sentinel-2 Imagery in Tauranga Harbor, New Zealand
DOI: 10.3390/rs12030355
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
DOI: 10.3390/rs12050777
Comparison of Machine Learning Methods for Estimating Mangrove Above-Ground Biomass Using Multiple Source Remote Sensing Data in the Red River Delta Biosphere Reserve, Vietnam
DOI: 10.3390/rs12081334