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Ha Nam Thang
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
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
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
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
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
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
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
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
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
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
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
Inland harmful cyanobacterial bloom prediction in the eutrophic Tri An Reservoir using satellite band ratio and machine learning approaches
Inland harmful cyanobacterial bloom prediction in the eutrophic Tri An Reservoir using satellite band ratio and machine learning approaches
Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam
Estimation of nitrogen and phosphorus concentrations from water quality surrogates using machine learning in the Tri An Reservoir, Vietnam
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach
Improvement of Mangrove Soil Carbon Stocks Estimation in North Vietnam Using Sentinel-2 Data and Machine Learning Approach
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