4.7 Article

Enhancement of Detecting Permanent Water and Temporary Water in Flood Disasters by Fusing Sentinel-1 and Sentinel-2 Imagery Using Deep Learning Algorithms: Demonstration of Sen1Floods11 Benchmark Datasets

Related references

Note: Only part of the references are listed.
Article Environmental Sciences

The Potential Role of News Media to Construct a Machine Learning Based Damage Mapping Framework

Genki Okada et al.

Summary: This study proposes the use of news media photographs as a source of training data for detecting flooded buildings, showing that they can classify flooded and nonflooded buildings with approximately 80% accuracy in the town of Mabi, Japan. By comparing machine learning methods with unsupervised classification methods, it is confirmed that training data generated from news media photographs improves classification accuracy. The study also discusses the potential role of news media as a source of reliable information for training data and other activities related to early disaster response.

REMOTE SENSING (2021)

Article Environmental Sciences

From local to regional compound flood mapping with deep learning and data fusion techniques

David F. Munoz et al.

Summary: This study evaluates a CNN & DF framework for generating compound flood maps along the southeast Atlantic coast of the U.S., achieving high accuracy in flood mapping by fusing multispectral imagery, synthetic aperture radar data, and digital elevation models. The framework shows good agreement with hindcast flood guidance maps and high water marks, highlighting its usefulness for large-scale compound flood mapping and hydrodynamic model calibration.

SCIENCE OF THE TOTAL ENVIRONMENT (2021)

Article Environmental Sciences

Seasonal cycles of lakes on the Tibetan Plateau detected by Sentinel-1 SAR data

Yu Zhang et al.

SCIENCE OF THE TOTAL ENVIRONMENT (2020)

Article Environmental Sciences

Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

Ben DeVries et al.

REMOTE SENSING OF ENVIRONMENT (2020)

Article Environmental Sciences

Automated SAR Image Thresholds for Water Mask Production in Alberta's Boreal Region

Craig Mahoney et al.

REMOTE SENSING (2020)

Article Computer Science, Artificial Intelligence

U-2-Net: Going deeper with nested U-structure for salient object detection

Xuebin Qin et al.

PATTERN RECOGNITION (2020)

Article Environmental Sciences

A Novel Fully Automated Mapping of the Flood Extent on SAR Images Using a Supervised Classifier

Abdelhakim Benoudjit et al.

REMOTE SENSING (2019)

Article Remote Sensing

Fusion of Sentinel-1 and Sentinel-2 image time series for permanent and temporary surface water mapping

Filsa Bioresita et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2019)

Article Environmental Studies

Exploiting the Convergence of Evidence in Satellite Data for Advanced Weather Index Insurance Design

Markus Enenkel et al.

WEATHER CLIMATE AND SOCIETY (2019)

Article Environmental Sciences

Flood Monitoring Based on the Study of Sentinel-1 SAR Images: The Ebro River Case Study

Francisco Carreno Conde et al.

WATER (2019)

Article Environmental Sciences

The Value of Near Real-Time Earth Observations for Improved Flood Disaster Response

Perry C. Oddo et al.

FRONTIERS IN ENVIRONMENTAL SCIENCE (2019)

Article Environmental Sciences

A global network for operational flood risk reduction

Lorenzo Alfieri et al.

ENVIRONMENTAL SCIENCE & POLICY (2018)

Article Geochemistry & Geophysics

A Framework of Rapid Regional Tsunami Damage Recognition From Post-event TerraSAR-X Imagery Using Deep Neural Networks

Yanbing Bai et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2018)

Article Geochemistry & Geophysics

Unsupervised Rapid Flood Mapping Using Sentinel-1 GRD SAR Images

Donato Amitrano et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2018)

Article Computer Science, Artificial Intelligence

DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs

Liang-Chieh Chen et al.

IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2018)

Article Remote Sensing

An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data

Yu Li et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2018)

Article Materials Science, Multidisciplinary

On the merging of optical and SAR satellite imagery for surface water mapping applications

Kel N. Markert et al.

RESULTS IN PHYSICS (2018)

Article Chemistry, Analytical

Flood Detection in Gaofen-3 SAR Images via Fully Convolutional Networks

Wenchao Kang et al.

SENSORS (2018)

Article Remote Sensing

Probabilistic mapping of flood-induced backscatter changes in SAR time series

Stefan Schlaffer et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2017)

Article Remote Sensing

Sentinel-1-based flood mapping: a fully automated processing chain

Andre Twele et al.

INTERNATIONAL JOURNAL OF REMOTE SENSING (2016)

Article Remote Sensing

Flood detection from multi-temporal SAR data using harmonic analysis and change detection

Stefan Schlaffer et al.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2015)

Article Geochemistry & Geophysics

Flood Detection in Urban Areas Using TerraSAR-X

David C. Mason et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2010)

Article Geosciences, Multidisciplinary

Towards operational near real-time flood detection using a split-based automatic thresholding procedure on high resolution TerraSAR-X data

S. Martinis et al.

NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2009)

Article Computer Science, Artificial Intelligence

Permitted and forbidden sets in symmetric threshold-linear networks

RHR Hahnloser et al.

NEURAL COMPUTATION (2003)