Dat Pham

Dat Pham
Verified
Dat verified their affiliation via an institutional email.
Verified
Dat verified their affiliation via an institutional email.
Western Sydney University

MSc. and Ph.D.
https://sites.google.com/view/tiendatpham

About

59
Publications
72,661
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
3,393
Citations
Introduction
I am currently a Geodata Scientist and a Digital Phenotyping Coordinator for the Australian Plant Phenomics Network (APPN) at the Hawkesbury Institute for the Environment (HIE), Western Sydney University. Before joining HIE, I was an MQRF, working on wetlands monitoring using remote sensing and geoinformatics. My research interests include optical and SAR remote sensing applications, machine learning, and spatial modeling. For more info visit https://sites.google.com/view/tiendatpham
Additional affiliations
August 2010 - July 2012
University of Tsukuba
Position
  • Master's Student
April 2015 - March 2018
University of Tsukuba
Position
  • PhD
November 2006 - September 2014
Vietnam National University of Agriculture
Position
  • Senior Researcher

Publications

Publications (59)
Article
Full-text available
Grassland ecosystems provide a range of services in semi-arid and arid regions. However, they have significantly declined due to overgrazing and desertification. In the current study, we employed Landsat time series data (TM, OLI, OLI-2) spanning from 1990 to 2024, combined with vegetation indices such as NDVI and SAVI, along with NDWI and digital...
Article
Full-text available
Blue carbon ecosystems (mangroves, seagrasses and saltmarshes) are highly productive coastal habitats, and are considered some of the most carbon-dense ecosystems on the earth. They are an important nature-based solution for both climate change mitigation and adaptation. Quantifying blue carbon stocks and assessing their dynamics at large scales th...
Article
Full-text available
Seagrass ecosystem provides valuable ecosystem services and is significant blue carbon sink. This resource, however, has been degraded across the globe with a loss rate of 7% year−1 to the end of twentieth century. The loss of seagrass meadows might lead to an unexpected emission of CO2 into the atmosphere, aggravating global warming and resulting...
Article
Full-text available
Estimation of carbon stock in seagrass meadows is in challenges of paucity of assessment and low accuracy of the estimates. In this study, we used a fusion of the synthetic aperture radar (SAR) Sentinel-1 (S-1), the multi-spectral Sentinel-2 (S-2), and coupled this with advanced machine learning (ML) models and meta-heuristic optimization to improv...
Article
Full-text available
Mangrove forests provide numerous valuable ecosystem services and can sequester a large volume of carbon that can help mitigate climate change impacts. Modeling mangrove carbon with robust and valid approaches is crucial to better understanding existing conditions. The study aims to estimate mangrove Above-Ground Carbon (AGC) at Loh Buaya located i...
Article
Full-text available
A pixel-based algorithm for multi-temporal Landsat (TM/ETM+/OLI/OLI-2) imagery between 1990 and 2022 monitored mangrove dynamics and detected their changes in the three provinces (i.e., Thai Binh, Nam Dinh and Hai Phong), which are located on the Northern coast of Vietnam, through the Google Earth Engine (GEE) cloud computing platform. Results show...
Article
Full-text available
Climatically driven perturbations (e.g. intense drought, fire, sea surface temperature rise) can bring ecosystems that are already stressed by long-term climate change and other anthropogenic impacts to a point of collapse. Recent reviews of the responses of Australian ecosystems to climate change and associated stressors have suggested widespread...
Article
Full-text available
Long-phase (interannual) tidal cycles have been shown to influence coastal flooding and sedimentation, but their role in shaping the extent and condition of tidal wetlands has received little attention. Here, we show that the 18.61-year lunar nodal cycle, popularly termed the "lunar wobble," is a dominant control over the expansion and contraction...
Chapter
Drought is a climate-induced disaster that can occur in all climatic regions with its features that varies considerably from one country to another. In addition, this natural disaster has wide-ranging impacts on water resources, ecosystems, energy, agriculture, forestry, human health and food security. Indeed, drought affects many economic activiti...
Article
Seagrass is a key factor of the nature-based solution to climate change impacts, however, this resource has been lost and degraded worldwide in both of area and habitats. Protection of seagrass extent often requires a zoning approach to fit the local conditions and identify the spatial prioritization. In this study, we integrated the state-of-the-a...
Article
Monitoring agricultural soil organic carbon (SOC) has played an essential role in sustainable agricultural management. Precise and robust prediction of SOC greatly contributes to carbon neutrality in the agricultural industry. To create more knowledge regarding the ability of remote sensing to monitor carbon soil, this research devises a state-of-t...
Article
Full-text available
Groundwater salinization is considered as a major environmental problem in worldwide coastal areas, influencing ecosystems and human health. However, an accurate prediction of salinity concentration in groundwater remains a challenge due to the complexity of groundwater salinization processes and its influencing factors. In this study, we evaluate...
Article
Quantifying mangrove soil organic carbon (SOC) is key to better understanding the global carbon cycle; a critical phenomenon in reducing greenhouse gas emissions. However, it is challenging to have a large sample size on soil carbon measurements and analysis due to the high costs associated with them. In the current research, we propose a novel hyb...
Article
Full-text available
Seagrass provides a wide range of essential ecosystem services, supports climate change mitigation, and contributes to blue carbon sequestration. This resource, however, is undergoing significant declines across the globe, and there is an urgent need to develop change detection techniques appropriate to the scale of loss and applicable to the compl...
Article
Seagrass provides numerous valuable ecosystem services across a wide range of climatic regions. However, in terms of area and habitat, this resource is in decline globally and there is an urgent need for accurate mapping of extant meadows and biomass to support sustainable seagrass blue carbon conservation and management. This study develops a nove...
Article
Flash flood is one of the most dangerous hydrologic and natural phenomena and is considered as the top ranking of such events among various natural disasters due to their fast onset characteristics and the proportion of individual fatalities. Mapping the probability of flash flood events remains challenges because of its complexity and rapid onset...
Article
Full-text available
Quantifying total carbon (TC) stocks in soil across various mangrove ecosystems is key to understanding the global carbon cycle to reduce greenhouse gas emissions. Estimating mangrove TC at a large scale remains challenging due to the difficulty and high cost of soil carbon measurements when the number of samples is high. In the present study, we i...
Article
Full-text available
Mangrove forests play an important role in maintaining water quality, mitigating climate change impacts, and providing a wide range of ecosystem services. Effective identification of mangrove species using remote sensing images remains a challenge. The combinations of multi-source remote sensing datasets (with different spectral/spatial resolution)...
Article
Flash flood is considered as one of the most destructive natural hazards worldwide, especially in tropical countries, where tropical cyclones with torrential rains are recurrent problems yearly. Therefore, an accurate prediction of susceptible areas to flash floods is crucial for developing measures to prevent, avoid, and minimize damages associate...
Article
Full-text available
Flash flood is one of the most dangerous natural phenomena because of its high magnitudes and sudden occurrence, resulting in huge damages for people and properties. Our work aims to propose a state-of-the-art model for susceptibility mapping of the flash flood using the decision tree random subspace ensemble optimized by hybrid firefly–particle sw...
Article
Full-text available
Flash floods induced by torrential rainfalls are considered one of the most dangerous natural hazards, due to their sudden occurrence and high magnitudes, which may cause huge damage to people and properties. This study proposed a novel modeling approach for spatial prediction of flash floods based on the tree intelligence-based CHAID (Chi-square A...
Article
Full-text available
This study proposes a hybrid intelligence approach based on an extreme gradient boosting regression and genetic algorithm, namely the XGBR-GA model, incorporating Sentinel-2, Sentinel-1, and ALOS-2 PALSAR-2 data to estimate the mangrove above-ground biomass (AGB) including small and shrub mangrove patches in the Red River Delta biosphere reserve ac...
Article
Full-text available
This study investigates the effectiveness of gradient boosting decision trees techniques in estimating mangrove above-ground biomass (AGB) at the Can Gio biosphere reserve (Vietnam). For this purpose, we employed a novel gradient-boosting regression technique called the extreme gradient boosting regression (XGBR) algorithm implemented and verified...
Article
Full-text available
Seagrass has been acknowledged as a productive blue carbon ecosystem that is in significant decline across much of the world. A first step toward conservation is the mapping and monitoring of extant seagrass meadows. Several methods are currently in use, but mapping the resource from satellite images using machine learning is not widely applied, de...
Article
This research proposes and evaluates a new approach for flash flood susceptibility mapping based on Deep Learning Neural Network (DLNN)) algorithm, with a case study at a high-frequency tropical storm area in the northwest mountainous region of Vietnam. Accordingly, a DLNN structure with 192 neurons in 3 hidden layers was proposed to construct an i...
Article
Full-text available
Mountainous areas are highly prone to a variety of nature-triggered disasters, which often cause disabling harm, death, destruction, and damage. In this work, an attempt was made to develop an accurate multi-hazard exposure map for a mountainous area (Asara watershed, Iran), based on state-of-the art machine learning techniques. Hazard modeling for...
Conference Paper
This study employed Sentinel-1A C-band and Sentinel-2A multispectral data combined with the decision tree ensemble algorithms to map the spatial distribution of five mangrove communities in a coastal area in North Vietnam. The results show that the rotation forests (RoFs) model achieved better overall accuracy and kappa coefficient in mapping mangr...
Article
The main objective of this research work was to propose and verify a new soft computing approach based on Multivariate Adaptive Regression Splines (MARS) and Particle Swarm Optimization (PSO) for spatial prediction of flash flood susceptible areas. A high frequency tropical typhoon area located on Northwest of Vietnam was selected as a case study....
Article
Full-text available
Blue carbon (BC) ecosystems are an important coastal resource, as they provide a range of goods and services to the environment. They play a vital role in the global carbon cycle by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, there has been a large reduction in the global BC ecosystems due to their conve...
Article
Full-text available
Flash flood is a typ­i­cal nat­ural haz­ard that oc­curs within a short time with high flow ve­loc­i­ties and is dif­fi­cult to pre­dict. In this study, we pro­pose and val­i­date a new soft com­put­ing ap­proach that is an in­te­gra­tion of an Ex­treme Learn­ing Ma­chine (ELM) and a Par­ti­cle Swarm Op­ti­miza­tion (PSO), named as PSO-ELM, for the...
Article
The main objective of the present study was to provide a novel methodological approach for flash flood susceptibility modeling based on a feature selection method (FSM) and tree based ensemble methods. The FSM, used a fuzzy rule based algorithm FURIA, as attribute evaluator, whereas GA were used as the search method, in order to obtain optimal set...
Article
Full-text available
Mangrove ecosystems play a vital role in the global carbon cycle by reducing greenhouse gas emissions and mitigating the impacts of climate change. However, these ecosystems have been lost worldwide, resulting in carbon stock losses. Additionally, some aspects of mangrove forests remain poorly characterized compared to other forest ecosystems due t...
Article
Full-text available
Soil salinity caused by climate change associated with rising sea level is considered as one of the most severe natural hazards that has a negative effect on agricultural activities in the coastal areas in most tropical climates. This issue has become more severe and increasingly occurred in the Mekong River Delta of Vietnam. The main objective of...
Article
Full-text available
Food safety is one of the main concerns and the biggest challenge for consumers due to its direct influence on human health. In order to deal with unsafe food situation, the demand for food hygiene has increased in the recent years as well as the consequent increase in price accepted by consumers. This study aimed to estimate consumers’ willingness...
Article
Aboveground biomass (AGB) of mangrove forest plays a crucial role in global carbon cycle by reducing greenhouse gas emissions and mitigating climate change impacts. Monitoring mangrove forests biomass accurately still remains challenging compared to other forest ecosystems. We investigated the usability of machine learning techniques for the estima...
Article
Full-text available
The main objective of this study is to map the spatial distribution of mangrove species and assess their changes from 2010 to 2015 in Hai Phong city of Vietnam located on the tropical region using the ALOS PALSAR data and an optimized rule-based decision tree technique. For this purpose, ALOS PALSAR imagery for the above period and GIS data were co...
Article
Full-text available
The main objective of this research is to investigate the potential combination of Sentinel-2A and ALOS-2 PALSAR-2 (Advanced Land Observing Satellite -2 Phased Array type L-band Synthetic Aperture Radar-2) imagery for improving the accuracy of the Aboveground Biomass (AGB) measurement. According to the current literature, this kind of investigation...
Conference Paper
Mangroves are considered to be the most important ecosystems on earth as they play an important role in mitigating the impact of climate change. However, these forests have suffered severe degradation due to its partial conversion to shrimp aquaculture. The mangroves restoration is expected to deal with climate change impacts, given their ability t...
Conference Paper
Full-text available
Cat Ba is one of the most well-known islands located in North Vietnam, which has been recognized as a biosphere reserve by United Nations Educational, Scientific and Cultural Organization (UNESCO) since 2004. Despite the large potential carbon stocks in mangrove forests of Cat Ba, the mangrove ecosystem of this island has suffered severe deforestat...
Article
Full-text available
This study examined the potential of using the HH and HV backscatter from the Advanced Land Observing Satellite 2 (ALOS-2) with enhanced phased array L-band synthetic aperture radar (PALSAR) in high sensitive mode to estimate the above-ground biomass (AGB) of the two mangrove species of Hai Phong city, Vietnam. A positive correlation was observed b...
Article
Full-text available
This study tested the use of machine learning techniques for the estimation of above-ground biomass (AGB) of Sonneratia caseolaris in a coastal area of Hai Phong city, Vietnam. We employed a GIS database and multi-layer perceptron neural networks (MLPNN) to build and verify an AGB model, drawing upon data from a survey of 1508 mangrove trees in 18...
Article
Full-text available
In spite of water scarcity problem in Tunisia, irrigation strategy was adopted and supported by the government. In addition, the introduction of the irrigation in olive sector was also encouraged because it will be the way for maintaining the production of this strategic product. Therefore, the main objective of this work is to detect irrigated and...
Article
Full-text available
Hai Phong city is located in the Northern coast of Vietnam where the mangroves are distributed between zone I and zone II among the four mangrove zones in Vietnam. This city is vulnerable to rising sea levels associated with climate change and tropical cyclones, which are forecasted to become more severe due to the impact of climate change. In the...
Article
Full-text available
This research examined mangrove management in Hai Phong city, Vietnam. A combination of logistic regression model data and field survey data were used to investigate the driving forces of mangrove changes. The results indicate that implementation of mangrove management investigated by the authorities, community or local people has affected mangrove...
Conference Paper
Full-text available
Remotely sensed data in vegetated lands always consist of signals from vegetation, soil surface and path radiance. In order to analyze aspects of vegetation such as estimation of vegetation vigor or above ground biomass, noise from soil surface and path radiance must be properly treated. The effects of path radiance are removed by atmospheric corre...
Conference Paper
Full-text available
Mangroves play an important role in protecting dyke systems and defend against the impact of tropical storms. However, these forests are under severe threat due to rapid population growth, insufficient govern-ance, poor planning, and uncoordinated economic development. Hai Phong city is located on the Northern coast of Vietnam where the mangroves a...
Poster
Full-text available
The I-REDD+ project is funded by the 7th Framework Programme of the European Commission. The aim is to ensure that the implementation of a future REDD+ mechanism is based on the highest level of knowledge on: Carbon storage in landscapes Monitoring technology Potentially negative impacts on local livelihoods Governance structures for managing payme...
Article
Full-text available
In recent years, Vietnamese economy has been growing up rapidly and caused serious environmental quality plunging, especially in industrial and mining areas. It brings an enormous threat to a socially sustainable development and the health of human beings. Environmental quality assessment and protection are complex and dynamic processes, since it i...
Article
Full-text available
Mangrove forests appear in the inter-tidal zones along the coast in most tropical and semi-tropical regions. They play a vital role in protecting land from erosion, facilitate alluvium deposition and mitigate the effects of typhoons and floods. Can Gio district is the first biosphere reserve located on the Southern coast of Vietnam and is in one of...
Article
Full-text available
This study examined the driving forces of mangrove change and compared mangrove forest management mechanisms in coastal districts in Hai Phong city, Vietnam. Survey data was used to ascertain the driving forces of mangrove change. The market price approach was used to analyze how local people responded to mangrove forest conservation. The results i...
Article
Full-text available
Avian Influenza infection has rife transmitted in Vietnam during the period of time from 2003 to 2008 at alarmingly degree which has been becoming major cause of massive death to poultry production and drastically damage the economical development of the country. Avian Influenza, similarly, compared with many vector-borne diseases such as Malaria,...
Article
Full-text available
In recent years, the economy of Vietnam has been developing in high pace, with its numerous industrial and agriculture activities by the large foreign and government investment, which and keep constantly expanding in many areas of the country. However, fast development causes serious impact to the natural environmental resources which has negative...
Article
Full-text available
Mangroves that appear in the inter-tidal zones along the coast in most tropical and semi-tropical countries play a vital role in coastal zones and can defend against the impacts of tsunamis. Nevertheless, these forests are under severe threat because of high population growth, weak governance, poor planning, as well as uncoordinated economic develo...
Conference Paper
Full-text available
The vast majority of population in Vietnam lives in the lowland and near the coastal areas, which are vulnerable by rising sea level and tropical cyclones. Mangrove forests play a vital role to protect dyke systems and prevent shoreline erosion as well as defend the impact of storms and flood risk. Nevertheless, these forests are under severe threa...

Questions

Questions (2)
Question
Anyone can help to process the Sentinel-1 (SAR: VH & VV polarizations) data using ENVI or ERDAS. Please tell me which equation used to convert DN to backscattering coefficient. Thanks a lot

Network

Cited By