A5086472997- Groundwater and Watershed Analysis
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Hydrology and Watershed Management Studies
- Remote-Sensing Image Classification
- Remote Sensing and Land Use
- Landslides and related hazards
- Fire effects on ecosystems
- Child Nutrition and Water Access
- Water Resources and Sustainability
- Remote Sensing in Agriculture
- Water resources management and optimization
Ministry of Agriculture and Rural Development
2024
Forest Industry Research Institute
2021
Groundwater potential maps are one of the most important tools for management groundwater storage resources. In this study, we proposed four ensemble soft computing models based on logistic regression (LR) combined with dagging (DLR), bagging (BLR), random subspace (RSSLR), and cascade generalization (CGLR) techniques mapping in Dak Lak Province, Vietnam. A suite well yield data twelve geo-environmental factors (aspect, elevation, slope, curvature, Sediment Transport Index, Topographic...
: The main aim of this study is to assess groundwater potential the DakNong province, Vietnam, using an advanced ensemble machine learning model (RABANN) that integrates Artificial Neural Networks (ANN) with RealAdaBoost (RAB) technique. For study, twelve conditioning factors and wells yield data was used create training testing datasets for development validation RABANN model. Area Under Receiver Operating Characteristic (ROC) curve (AUC) several statistical performance measures were...
We proposed an innovative hybrid intelligent approach, namely, the multiboost based naïve bayes trees (MBNBT) method for spatial prediction of landslides in Mu Cang Chai District Yen Bai Province, Vietnam. The MBNBT, which is ensemble (MB) and (NBT) base classifier, has rarely been applied landslide susceptibility mapping around world. For modeling, we selected 248 locations hilly terrain study area. Fifteen conditioning factors were construction database on one-R attribute evaluation (ORAE)...
Groundwater is one of the most important sources fresh water all over world, especially in those countries where rainfall erratic, such as Vietnam. Nowadays, machine learning (ML) models are being used for assessment groundwater potential region. Credal decision trees (CDT) ML which has been studies. In present study, performance CDT improved using various ensemble frameworks Bagging, Dagging, Decorate, Multiboost, and Random SubSpace. Based on these methods, five hybrid models, namely BCDT,...
Strengthening the functioning of existing rural piped water supply systems is a critical strategy for ensuring household security, particularly in water-scarce contexts. Improving operation and maintenance (O&M) an important area focus, commonly plagued by poor reliability functionality over time. From economic perspective, there opportunity to optimise O&M input efficiencies as foundation improved management. This paper presented challenges opportunities based on analysis...
Proper satellite-based crop monitoring applications at the farm-level often require near-daily imagery medium to high spatial resolution. The synthesizing of ongoing satellite missions by ESA (Sentinel 2) and NASA (Landsat7/8) provides this unprecedented opportunity a global scale; nonetheless, is rarely implemented because these procedures are data demanding computationally intensive. This study developed complete stream processing in Google Earth Engine cloud platform generate harmonized...