Prof. Dr. Hoang Thanh Van
Feng Chia University, Taichung, Taiwan
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Academic Career Length
15Years (2012-Present)
(Calculated once Scilit publication data is synced: current year − year of first publication + 1)
Representative Publications
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Journal Article
QBQuang-Thanh Bui
Quang-Thanh Bui
Tien-Yin ChouHoang Thanh Van
Yao Min Fang
Ching-Yun MuMMMichael Meadows
Michael Meadows +5
In regular convolutional neural networks (CNN), fully-connected layers act as classifiers to estimate the probabilities for each instance in classification tasks. The accuracy of CNNs can be improved by replacing fully connected layers with gradient boosting algorithms. In this regard, this study investigates three robust classifiers, namely XGBoost, LightGBM, and Catboost, in combination with a CNN for a land cover study in Hanoi, Vietnam. The experiments were implemented using SPOT7 imagery through (1) image segmentation and extraction of features, including spectral information and spatial metrics, (2) normalization of attribute values and generation of graphs, and (3) using graphs as the input dataset to the investigated models for classifying six land cover classes, namely House, Bare land, Vegetation, Water, Impervious Surface, and Shadow. The results show that CNN-based XGBoost (Overall accuracy = 0.8905), LightGBM (0.8956), and CatBoost (0.8956) outperform the other methods used for comparison. It can be seen that the combination of object-based image analysis and CNN-based gradient boosting algorithms significantly improves classification accuracies and can be considered as alternative methods for land cover analysis.
Journal Article
Hoang Thanh VanTien-Yin ChouYao Min FangNNNgoc Thach Nguyen
Ngoc Thach Nguyen
Huy NguyenMMMichael Meadows
Michael Meadows +3
Forest fires constitute a major environmental problem in tropical countries, especially in the context of climate change and increasing human populations. This paper aims to identify the causes of frequent forest fires in Son La Province, a fire-prone and forested mountainous region in northwest Vietnam, with a view to constructing a forest fire-related database with multiple layers of natural, social and economic information, extracted largely on the basis of Landsat 7 images. The assessment followed an expert systems approach, applying multi-criteria analysis (MCA) with an analytical hierarchy process (AHP) to determine the weights of the individual parameters related to forest fires. A multi-indicator function with nine parameters was constructed to establish a forest fire risk map at a scale of 1:100,000 for use at the provincial level. The results were verified through regression analysis, yielding R2 = 0.86. A real-time early warning system for forest fire areas has been developed for practical use by the relevant government authorities to provide more effective forest fire prevention planning for Son La Province.
30 November 2020 in Transactions in GIS
Journal Article
Tien-Yin ChouHoang Thanh VanYFYao‐Min Fang
Yao‐Min Fang
QNQuoc‐Huy Nguyen
Quoc‐Huy Nguyen
TLTuan Anh Lai
Tuan Anh Lai
QBQuang-Thanh Bui
Quang-Thanh Bui +2
Journal Article
THTran Quang Hoc
Tran Quang HocYao Min FangTien-Yin ChouHoang Thanh Van
Chun-Tse WangMCMei-Hsin Chen
Mei-Hsin Chen +3
Traffic speed forecasting in the short term is one of the most critical parts of any intelligent transportation system (ITS). Accurate speed forecasting can support travelers’ route choices, traffic guidance, and traffic control. This study proposes a deep learning approach using long short-term memory (LSTM) network with tuning hyper-parameters to forecast short-term traffic speed on an arterial parallel multi-lane road in a developing country such as Vietnam. The challenge of mishandling the location data of vehicles on small and adjacent multi-lane roads will be addressed in this study. To test the accuracy of the proposed forecasting model, its application is illustrated using historical voyage GPS-monitored data on the Le Hong Phong urban arterial road in Haiphong city of Vietnam. The results indicate that in comparison with other models (e.g., traditional models and convolutional neural network), the best performance in terms of root mean square error (RMSE), mean absolute error (MAE), and median absolute error (MDAE) is obtained by using the proposed model.
Journal Article
LTLong Nguyen Thanh
Long Nguyen ThanhYao Min FangTien-Yin ChouHoang Thanh VanNDNguyen Quoc Dinh
Nguyen Quoc DinhYLYi-Chia Lin
Yi-Chia Lin +3
Ban Khoang is a mountainous commune in Sa Pa district located in the central part of Lao Cai province, Vietnam. Landslides occur frequently in this area and seriously affect the local living conditions. To help the local authority in developing a landslide disaster action plan, the statistical index method for landslide susceptibility mapping is applied. As the result, the landslide susceptibility zonation (LSZ) map was created. The LSZ map indicates that areas of low, moderate, high and very high landslide susceptibility zones are, respectively, 20.3 km2, 12.4 km2, 15.4 km2, and 5.2 km2; most of the observed landslide areas that are well predicted belong to high or very high landslide susceptibility classes. In detail, 80% observed landslide areas and 78.57% number of observed landslides were well predicted, and the area (AUC) under the receiver operating characteristic (ROC) curve obtained 80.3%. Hence, the high and very high landslide susceptibility classes in the LSZ map can be considered highly believable, and the LSZ map will be reliable to use in the practice.
Journal Article
QVQUANG TUONG QUANG VO
QUANG TUONG QUANG VOHoang Thanh VanTien-Yin ChouYao Min FangChun-Tse Wang
Dung Tran +1
This study evaluates droughts in the Mekong River Basin (MKB) based on a multidisciplinary method, mainly using the Standardized Precipitation Index (SPI) and Mann–Kendall (MK) test. Precipitation data corresponding to the seasonality of the regional climate were retrieved from Integrated Multi-satellitE Retrievals for Global Precipitation Measurement from 2001 to 2020, at a monthly temporal scale and 0.1 degree spatial resolution. Drought events and their average interval, duration, and severity were determined based on Run theory. Our results revealed the most extreme drought period was in January 2014, at the time the lowest precipitation occurred. Spatial extreme drought results indicated that Zone 2 in the upstream MKB has the highest frequency of drought, with 44 events observed during 19 years, and experiences the most severe droughts, whereas Zone 24 in the downstream MKB has the most prolonged drought duration of seven months. The periods and locations of extreme drought were identified using the SPI, corresponding to historic droughts of the MKB. Furthermore, the MK test shows an increasing trend of droughts in the lower MKB and the cluster analysis identified six clusters of times series. Overall, our study provides essential findings for international and national water resource stakeholders in identifying trends of extreme drought in the MKB.
About Me
Dr. Hoang is a full-time Associate Professor at the College of Construction and Development, Feng Chia University, Taiwan.Her primary research interests encompass Geographic Information Systems (GIS), Remote Sensing Applications, Climate-Smart Agriculture (CSA), Disaster Risk Reduction and Resilience, Carbon and Ecosystem Services Monitoring, and Artificial Intelligence for Climate and Disaster Analytics.
She has received several notable distinctions, including the Outstanding Professor Award (Vietnam, 2022) and recognition among the Top 10 Excellent Professors (2020–2025) based on student evaluations. Dr. Hoang holds dual Bachelor’s degrees in Geography and English, an M.Sc. in GIS and Remote Sensing Applications, and a Doctor of Engineering in Civil and Hydraulic Engineering from Taiwan. She was awarded the Gold Medal in Vietnam’s National Teaching Competition (2005), the Best Presentation Award at ICEO-SI 2014, and the Outstanding Academic Certificate from Feng Chia University (2015).
With over 19 years of teaching and research experience, she has authored more than 40 publications in international journals, conference proceedings, and domestic journals, as well as three reference books and three book chapters (published by the Vietnam National Library, Taiwan National Library, and Springer). She has delivered 15 invited presentations, including three keynote speeches at international conferences (FIG 2018 2019 in Vietnam, and Agriculture in Taipei 2016.