Remote sensing methods for flood prediction: A review
HS Munawar, AWA Hammad, ST Waller - Sensors, 2022 - mdpi.com
Floods are a major cause of loss of lives, destruction of infrastructure, and massive damage
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …
to a country's economy. Floods, being natural disasters, cannot be prevented completely; …
Monitoring inland water via Sentinel satellite constellation: A review and perspective
Abstract Clean Water and Sanitation, the sixth goal of Sustainable Development Goals
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …
(SDGs 6) is a call for action by the United Nations aiming at balancing the water cycle for …
U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …
recent years, thanks to advances in processing techniques and computational resources, as …
Sub-continental-scale mapping of tidal wetland composition for East Asia: A novel algorithm integrating satellite tide-level and phenological features
Tidal wetlands, the global hotspots of biodiversity and carbon stocks, are currently
experiencing widespread modifications in their composition due to human disturbances and …
experiencing widespread modifications in their composition due to human disturbances and …
[HTML][HTML] An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine
Abstract Real-time, near-real-time, and accurate flood extent information is critical for
emergency response during disaster events such as floods. Accurate extents are critical for …
emergency response during disaster events such as floods. Accurate extents are critical for …
Water-body segmentation for SAR images: past, current, and future
Z Guo, L Wu, Y Huang, Z Guo, J Zhao, N Li - Remote Sensing, 2022 - mdpi.com
Synthetic Aperture Radar (SAR), as a microwave sensor that can sense a target all day or
night under all-weather conditions, is of great significance for detecting water resources …
night under all-weather conditions, is of great significance for detecting water resources …
A Near-Real-Time Flood Detection Method Based on Deep Learning and SAR Images
Owning to the nature of flood events, near-real-time flood detection and mapping is essential
for disaster prevention, relief, and mitigation. In recent years, the rapid advancement of deep …
for disaster prevention, relief, and mitigation. In recent years, the rapid advancement of deep …
Cross-modal change detection flood extraction based on convolutional neural network
X He, S Zhang, B Xue, T Zhao, T Wu - International Journal of Applied Earth …, 2023 - Elsevier
Flood events are often accompanied by rainy weather, which limits the applicability of optical
satellite images, whereas synthetic aperture radar (SAR) is less sensitive to weather and …
satellite images, whereas synthetic aperture radar (SAR) is less sensitive to weather and …
Enhancement of detecting permanent water and temporary water in flood disasters by fusing sentinel-1 and sentinel-2 imagery using deep learning algorithms …
Identifying permanent water and temporary water in flood disasters efficiently has mainly
relied on change detection method from multi-temporal remote sensing imageries, but …
relied on change detection method from multi-temporal remote sensing imageries, but …
[HTML][HTML] Unmanned aerial vehicles (UAVs) as a tool for hazard assessment: The 2021 eruption of Cumbre Vieja volcano, La Palma Island (Spain)
Monitoring for assessment of natural disasters, such as volcanic eruptions, presents a
methodological challenge for the scientific community. Here, we present Unmanned Aerial …
methodological challenge for the scientific community. Here, we present Unmanned Aerial …