Inundation extent mapping by synthetic aperture radar: A review

X Shen, D Wang, K Mao, E Anagnostou, Y Hong - Remote Sensing, 2019 - mdpi.com
Recent flood events have demonstrated a demand for satellite-based inundation mapping in
near real-time (NRT). Simulating and forecasting flood extent is essential for risk mitigation …

[HTML][HTML] Automatic monitoring of surface water dynamics using Sentinel-1 and Sentinel-2 data with Google Earth Engine

Z Chen, S Zhao - International Journal of Applied Earth Observation and …, 2022 - Elsevier
Dynamic monitoring of floods is important for water resource management and disaster
prevention. Obtaining multitemporal surface water distribution maps using remote sensing …

A local thresholding approach to flood water delineation using Sentinel-1 SAR imagery

J Liang, D Liu - ISPRS journal of photogrammetry and remote sensing, 2020 - Elsevier
Emergency response to floods requires timely information on water extents, which can be
produced by satellite-based remote sensing. As the synthetic aperture radar (SAR) can emit …

U-net-based semantic classification for flood extent extraction using SAR imagery and GEE platform: A case study for 2019 central US flooding

Z Li, I Demir - Science of The Total Environment, 2023 - Elsevier
Data-driven models for water body extraction have experienced accelerated growth in
recent years, thanks to advances in processing techniques and computational resources, as …

Sen1Floods11: A georeferenced dataset to train and test deep learning flood algorithms for sentinel-1

D Bonafilia, B Tellman, T Anderson… - Proceedings of the …, 2020 - openaccess.thecvf.com
Accurate flood mapping at global scales can support disaster relief and recovery efforts.
Improving flood relief with more accurate data is of great importance due to expected …

Exploring Sentinel-1 and Sentinel-2 diversity for flood inundation mapping using deep learning

G Konapala, SV Kumar, SK Ahmad - ISPRS Journal of Photogrammetry and …, 2021 - Elsevier
Identification of flood water extent from satellite images has historically relied on either
synthetic aperture radar (SAR) or multi-spectral (MS) imagery. MS sensors are limited to …

Flood inundation mapping-Kerala 2018; Harnessing the power of SAR, automatic threshold detection method and Google Earth Engine

V Tiwari, V Kumar, MA Matin, A Thapa, WL Ellenburg… - PLoS …, 2020 - journals.plos.org
Flood inundation maps provide valuable information towards flood risk preparedness,
management, communication, response, and mitigation at the time of disaster, and can be …

[HTML][HTML] An exploratory study of Sentinel-1 SAR for rapid urban flood mapping on Google Earth Engine

MT Islam, Q Meng - International Journal of Applied Earth Observation and …, 2022 - Elsevier
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 …

[HTML][HTML] Comparing sentinel-1 surface water mapping algorithms and radiometric terrain correction processing in southeast asia utilizing google earth engine

KN Markert, AM Markert, T Mayer, C Nauman, A Haag… - Remote Sensing, 2020 - mdpi.com
Satellite remote sensing plays an important role in the monitoring of surface water for
historical analysis and near real-time applications. Due to its cloud penetrating capability …

[HTML][HTML] Monitoring the summer flooding in the Poyang Lake area of China in 2020 based on Sentinel-1 data and multiple convolutional neural networks

Z Dong, G Wang, SOY Amankwah, X Wei, Y Hu… - International Journal of …, 2021 - Elsevier
Precise monitoring of floods is significant in disaster management and loss reduction;
however, remote sensing data resource and methods can largely affect the monitoring …