Enhancing flood susceptibility map** in Meghna River basin by introducing ensemble Naive Bayes with stacking algorithms

ARMT Islam, MU Mia, NA Nova… - … , Natural Hazards and …, 2025 - Taylor & Francis
This article intends to assess flood susceptibility map** in Meghna River basin (MRB) and
identified flood susceptible regions using three benchmark models including random forest …

[HTML][HTML] An integrated framework for satellite-based flood map** and socioeconomic risk analysis: A case of Thailand

N Prasertsoong, N Puttanapong - Progress in Disaster Science, 2025 - Elsevier
This study introduces a novel approach to monitoring floods and estimating socioeconomic
impacts in Thailand. The approach leverages advancements in geospatial data, employing …

HSIAO framework in feature selection for hyperspectral remote sensing images based on Jeffries-Matusita distance

H Li, A Qi, H Chen, S Chen… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Hyperspectral remote sensing image feature selection enhances the efficiency of further
applications by extracting band information. However, it is challenging to optimize and …

Flood susceptibility map** in the Yom River Basin, Thailand: stacking ensemble learning using multi-year flood inventory data

G Long, S Tantanee, K Nusit, P Sooraksa - Geocarto International, 2025 - Taylor & Francis
Accurate assessment models of flood susceptibility are crucial for informing risk
management strategies related to severe threats posed by floods. This study assessed flood …

Flood Susceptibility Map** Using Publicly Available Big Data with Google Earth Engine and Deep Learning Algorithms

S Mangkhaseum, Y Bhattarai, S Duwal… - … Conference on Big …, 2024 - ieeexplore.ieee.org
Flood susceptibility map** is essential for disaster risk management in flood-prone
regions. This study utilizes point-based data from publicly available open-source earth …

[PDF][PDF] Progress in Disaster Science

N Prasertsoong, N Puttanapong - researchgate.net
This study introduces a novel approach to monitoring floods and estimating socioeconomic
impacts in Thailand. The approach leverages advancements in geospatial data, employing …

[PDF][PDF] Flood susceptibility map** usingpublicly available big data with Google Earth Engine and deep learning algorithms

Y Bhattarai, N Bhaktapur, S Duwal, A Hanazawa - researchgate.net
Flood susceptibility map** is essential for disaster risk management in flood-prone
regions. This study utilizes point-based data from publicly available open-source earth …

[PDF][PDF] Leveraging open-source remote-sensing data and machine learning approaches for flood prediction and susceptibility map** in Nam Ngum River Basin …

S Mangkhaseum - kyutech.repo.nii.ac.jp
Frequent floods caused by monsoons and rainstorms have significantly affected the
resilience of human and natural ecosystems in the Nam Ngum River Basin, Lao PDR. A …