Pham Viet Hoa
According to our database1,
Pham Viet Hoa
authored at least 13 papers
between 2019 and 2024.
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Bibliography
2024
One-dimensional deep learning driven geospatial analysis for flash flood susceptibility mapping: a case study in North Central Vietnam.
Earth Sci. Informatics, October, 2024
A New Approach Based on Deep Neural Networks and Multisource Geospatial Data for Spatial Prediction of Groundwater Spring Potential.
IEEE Access, 2024
2023
Comparative Analysis of Deep Learning and Swarm-Optimized Random Forest for Groundwater Spring Potential Identification in Tropical Regions.
Remote. Sens., October, 2023
A New Approach Based on TensorFlow Deep Neural Networks with ADAM Optimizer and GIS for Spatial Prediction of Forest Fire Danger in Tropical Areas.
Remote. Sens., July, 2023
Remote. Sens., April, 2023
2022
Evaluation of Chlorophyll-a estimation using Sentinel 3 based on various algorithms in southern coastal Vietnam.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
Thirty-Year Dynamics of LULC at the Dong Thap Muoi Area, Southern Vietnam, Using Google Earth Engine.
ISPRS Int. J. Geo Inf., 2021
Spatial and decadal prediction of land use/land cover using multi-layer perceptron-neural network (MLP-NN) algorithm for a semi-arid region of Asir, Saudi Arabia.
Earth Sci. Informatics, 2021
2020
A New Hybrid Firefly-PSO Optimized Random Subspace Tree Intelligence for Torrential Rainfall-Induced Flash Flood Susceptible Mapping.
Remote. Sens., 2020
Gap-Free Monitoring of Annual Mangrove Forest Dynamics in Ca Mau Province, Vietnamese Mekong Delta, Using the Landsat-7-8 Archives and Post-Classification Temporal Optimization.
Remote. Sens., 2020
A tree-based intelligence ensemble approach for spatial prediction of potential groundwater.
Int. J. Digit. Earth, 2020
Comparative Assessment of Solar Radiation by Satellite-Based and Reanalysis Products Over Vietnam Regions.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Soil Salinity Mapping Using SAR Sentinel-1 Data and Advanced Machine Learning Algorithms: A Case Study at Ben Tre Province of the Mekong River Delta (Vietnam).
Remote. Sens., 2019