Detection of surface water and floods with multispectral satellites
The use of multispectral satellite imagery for water monitoring is a fast and cost-effective
method that can benefit from the growing availability of medium–high-resolution and free …
method that can benefit from the growing availability of medium–high-resolution and free …
[HTML][HTML] Applications of machine learning to water resources management: A review of present status and future opportunities
Water is the most valuable natural resource on earth that plays a critical role in the socio-
economic development of humans worldwide. Water is used for various purposes, including …
economic development of humans worldwide. Water is used for various purposes, including …
Operational flood mapping using multi-temporal Sentinel-1 SAR images: A case study from Bangladesh
Bangladesh is one of the most flood-affected countries in the world. In the last few decades,
flood frequency, intensity, duration, and devastation have increased in Bangladesh …
flood frequency, intensity, duration, and devastation have increased in Bangladesh …
Predicting at-risk university students in a virtual learning environment via a machine learning algorithm
KT Chui, DCL Fung, MD Lytras, TM Lam - Computers in Human behavior, 2020 - Elsevier
A university education is widely considered essential to social advancement. Ensuring
students pass their courses and graduate on time have thus become issues of concern. This …
students pass their courses and graduate on time have thus become issues of concern. This …
From local to regional compound flood mapping with deep learning and data fusion techniques
Compound flooding (CF), as a result of oceanic, hydrological, meteorological and
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
anthropogenic drivers, is often studied with hydrodynamic models that combine either …
Automatic water detection from multidimensional hierarchical clustering for Sentinel-2 images and a comparison with Level 2A processors
MCR Cordeiro, JM Martinez, S Peña-Luque - Remote Sensing of …, 2021 - Elsevier
Continuous monitoring of water surfaces is essential for water resource management. This
study presents a nonparametric unsupervised automatic algorithm for the identification of …
study presents a nonparametric unsupervised automatic algorithm for the identification of …
Flood monitoring by integration of Remote Sensing technique and Multi-Criteria Decision Making method
Traditional methodologies of flood monitoring are generally time-consuming and demanding
tasks. In most cases, there is no possibility of flood monitoring in large areas. Due to the …
tasks. In most cases, there is no possibility of flood monitoring in large areas. Due to the …
Evaluation of floods and landslides triggered by a meteorological catastrophe (Ordu, Turkey, August 2018) using optical and radar data
This study explores the potential of photogrammetric datasets and remote sensing methods
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …
for the assessment of a meteorological catastrophe that occurred in Ordu, Turkey in August …
MSResNet: Multiscale residual network via self-supervised learning for water-body detection in remote sensing imagery
Driven by the urgent demand for flood monitoring, water resource management and
environmental protection, water-body detection in remote sensing imagery has attracted …
environmental protection, water-body detection in remote sensing imagery has attracted …
Assessment of riverbank erosion hotspots along the mekong river in cambodia using remote sensing and hazard exposure mapping
The large-scale monitoring of riverbank erosion is challenging because of human,
equipment, and financial limitations, particularly in developing countries. This study aims to …
equipment, and financial limitations, particularly in developing countries. This study aims to …