The fully-automatic Sentinel-1 Global Flood Monitoring service: Scientific challenges and future directions

No abstract is available for this paper.

• Publication year

  2026

• Venue

  Remote Sensing of Environment

• Publication date

  2026-01-01

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1016/j.rse.2025.115108
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• A Novel Deep Learning Model for Flood Detection from Synthetic Aperture Radar Images

  2025cited by this paper
• Automated rapid estimation of flood depth using a digital elevation model and Earth Observation Satellite (EOS-04)-derived flood inundation

  2025cited by this paper
• Assessing Flood Mapping with Pre- and Post-Flood SAR Imagery: Advances, Challenges, and Performance Evaluation

  2025cited by this paper
• Rapid Flood Inundation Mapping for Effective Management: A Machine Learning and Pixel‐Based Classification Approach in Feni District, Bangladesh

  2025cited by this paper
• Quantitative evaluation of flood extent detection using attention U-Net case studies from Eastern South Wales Australia in March 2021 and July 2022

  2025cited by this paper
• High-Precision Flood Mapping From Sentinel-1 Dual-Polarization SAR Data

  2025cited by this paper
• Evaluating the robustness of Bayesian flood mapping with Sentinel-1 data: A multi-event validation study

  2025cited by this paper
• Advancing Flood Detection and Mapping: A Review of Earth Observation Services, 3D Data Integration, and AI-Based Techniques

  2025cited by this paper
• Enhanced-HisSegNet: Improved SAR Image Flood Segmentation With Learnable Histogram Layers and Active Contour Model

  2025cited by this paper
• A Multi-Sensor System for Surface Water Extraction: Application Examples in the Context of Disaster Management

  2024cited by this paper
• Improving rapid flood impact assessment: An enhanced multi-sensor approach including a new flood mapping method based on Sentinel-2 data.

  2024cited by this paper
• A Synthetic Aperture Radar-Based Robust Satellite Technique (RST) for Timely Mapping of Floods

  2024cited by this paper
• A comparison of global flood models using Sentinel-1 and a change detection approach

  2024cited by this paper
• Flood Detection with SAR: A Review of Techniques and Datasets

  2024cited by this paper
• Flood susceptibility mapping using a novel integration of multi-temporal sentinel-1 data and eXtreme deep learning model

  2024cited by this paper
• Evaluation of limiting factors for SAR backscatter based cut detection of alpine grasslands

  2024cited by this paper
• A globally sampled high-resolution hand-labeled validation dataset for evaluating surface water extent maps

  2024cited by this paper
• Detection of inland water bodies under dense biomass by CYGNSS

  2024cited by this paper
• S1S2-Water: A Global Dataset for Semantic Segmentation of Water Bodies From Sentinel- 1 and Sentinel-2 Satellite Images

  2024cited by this paper
• Detection of flood-affected areas using multitemporal remote sensing data: a machine learning approach

  2024cited by this paper
• Assessment of time-series-derived no-flood references for sar-based Bayesian flood mapping

  2024cited by this paper
• Urban Flood Mapping Using Satellite Synthetic Aperture Radar Data: A review of characteristics, approaches, and datasets

  2024cited by this paper
• Mapping global floods with 10 years of satellite radar data

  2024cited by this paper
• Flooded area detection and mapping from Sentinel-1 imagery. Complementary approaches and comparative performance evaluation

  2024cited by this paper
• Unlocking the full potential of Sentinel-1 for flood detection in arid regions

  2024cited by this paper
• Towards robust validation strategies for EO flood maps

  2024cited by this paper
• Improving Sentinel-1 Flood Maps Using a Topographic Index as Prior in Bayesian Inference

  2023cited by this paper
• A PRELIMINARY COMPARISON OF TWO EXCLUSION MAPS FOR LARGE-SCALE FLOOD MAPPING USING SENTINEL-1 DATA

  2023cited by this paper
• Sentinel-1-based analysis of the severe flood over Pakistan 2022

  2023cited by this paper
• Wasting petabytes: A survey of the Sentinel-2 UTM tiling grid and its spatial overhead

  2023cited by this paper
• Google Earth Engine: A Global Analysis and Future Trends

  2023cited by this paper
• Soil moisture retrieval from Sentinel-1 using a first-order radiative transfer model—A case-study over the Po-Valley

  2023cited by this paper
• Attribution of the heavy rainfall events leading to severe flooding in Western Europe during July 2021

  2023cited by this paper
• Evaluation of Copernicus DEM and Comparison to the DEM Used for Landsat Collection-2 Processing

  2023cited by this paper
• Convolutional Neural Network-Based Deep Learning Approach for Automatic Flood Mapping Using NovaSAR-1 and Sentinel-1 Data

  2023cited by this paper
• Time-series analysis of Sentinel-1/2 data for flood detection using a discrete global grid system and seasonal decomposition

  2023cited by this paper
• Estimating Ensemble Likelihoods for the Sentinel-1-Based Global Flood Monitoring Product of the Copernicus Emergency Management Service

  2023cited by this paper
• Global desert variation under climatic impact during 1982–2020

  2023cited by this paper
• An Intercomparison of Sentinel-1 Based Change Detection Algorithms for Flood Mapping

  2023cited by this paper
• Multi-Temporal Sentinel-1 SAR and Sentinel-2 MSI Data for Flood Mapping and Damage Assessment in Mozambique

  2023cited by this paper
• Sentinel-1-Based Water and Flood Mapping: Benchmarking Convolutional Neural Networks Against an Operational Rule-Based Processing Chain

  2022cited by this paper
• An Unsupervised Domain Adaptation Method Towards Multi-Level Features and Decision Boundaries for Cross-Scene Hyperspectral Image Classification

  2022cited by this paper
• Combining SAR images with land cover products for rapid urban flood mapping

  2022cited by this paper
• A methodology for mapping annual flood extent using multi-temporal Sentinel-1 imagery

  2022cited by this paper
• Utilising Sentinel-1’s orbital stability for efficient pre-processing of sigma nought backscatter

  2022cited by this paper
• Satellite-Based Flood Mapping through Bayesian Inference from a Sentinel-1 SAR Datacube

  2022cited by this paper
• The effects of radiometric terrain flattening on SAR-based forest mapping and classification

  2022cited by this paper
• Dynamic World, Near real-time global 10 m land use land cover mapping

  2022cited by this paper
• Large-scale dynamic flood monitoring in an arid-zone floodplain using SAR data and hybrid machine-learning models

  2022cited by this paper
• Effectiveness of Sentinel-1 and Sentinel-2 for flood detection assessment in Europe

  2022cited by this paper
• A New Methodology for Wheat Attenuation Correction at C-Band VV-Polarized Backscatter Time Series

  2022cited by this paper
• Towards a global seasonal and permanent reference water product from Sentinel-1/2 data for improved flood mapping

  2022cited by this paper
• Widespread occurrence of anomalous C-band backscatter signals in arid environments caused by subsurface scattering

  2022cited by this paper
• Flood Detection in Urban Areas Using Satellite Imagery and Machine Learning

  2022cited by this paper
• Actionable Information in Flood Risk Communications and the Potential for New Web-Based Tools for Long-Term Planning for Individuals and Community

  2022cited by this paper
• Inundation Mapping of Kerala Flood Event in 2018 using ALOS-2 and Temporal Sentinel-1 SAR Images

  2021cited by this paper
• Deep Learning Methods for Flood Mapping: A Review of Existing Applications and Future Research Directions

  2021cited by this paper
• IdroGEO: A Collaborative Web Mapping Application Based on REST API Services and Open Data on Landslides and Floods in Italy

  2021cited by this paper
• A Sentinel-1 Backscatter Datacube for Global Land Monitoring Applications

  2021cited by this paper
• The Swiss data cube, analysis ready data archive using earth observations of Switzerland

  2021cited by this paper
• The normalised Sentinel-1 Global Backscatter Model, mapping Earth’s land surface with C-band microwaves

  2021cited by this paper
• Deriving exclusion maps from C-band SAR time-series in support of floodwater mapping

  2021cited by this paper
• ROSE-L: Copernicus L-Band Sar Mission

  2021cited by this paper
• The New, Systematic Global Flood Monitoring Product of the Copernicus Emergency Management Service

  2021cited by this paper
• Increasing Timeliness of Satellite-Based Flood Mapping Using Early Warning Systems in the Copernicus Emergency Management Service

  2021cited by this paper
• Sentinel-1 SAR Backscatter Analysis Ready Data Preparation in Google Earth Engine

  2021cited by this paper
• NASA-ISRO SAR (NISAR) Mission Status

  2021cited by this paper
• A large-scale 2005–2012 flood map record derived from ENVISAT-ASAR data: United Kingdom as a test case

  2021cited by this paper
• Use of optical and radar remote sensing satellites for identifying and monitoring active/inactive landforms in the driest desert in Saudi Arabia

  2020cited by this paper
• Rapid and robust monitoring of flood events using Sentinel-1 and Landsat data on the Google Earth Engine

  2020cited by this paper
• An Overview of Platforms for Big Earth Observation Data Management and Analysis

  2020cited by this paper
• Sen1Floods11: a georeferenced dataset to train and test deep learning flood algorithms for Sentinel-1

  2020cited by this paper
• FLOOD DETECTION IN TIME SERIES OF OPTICAL AND SAR IMAGES

  2020cited by this paper
• DATA PROCESSING ARCHITECTURES FOR MONITORING FLOODS USING SENTINEL-1

  2020cited by this paper
• Integrating C- and L-Band SAR Imagery for Detailed Flood Monitoring of Remote Vegetated Areas

  2020cited by this paper
• Use of Sentinel-1 GRD SAR Images to Delineate Flood Extent in Pakistan

  2020cited by this paper
• Systematic and Automatic Large-Scale Flood Monitoring System Using Sentinel-1 SAR Data

  2020cited by this paper
• Flood Mapping Based on Synthetic Aperture Radar: An Assessment of Established Approaches

  2019cited by this paper
• Flood mapping under vegetation using single SAR acquisitions

  2019cited by this paper
• A Modular Processing Chain for Automated Flood Monitoring from Multi-Spectral Satellite Data

  2019cited by this paper
• Outlining where humans live, the World Settlement Footprint 2015

  2019cited by this paper
• Urban flood mapping with an active self-learning convolutional neural network based on TerraSAR-X intensity and interferometric coherence

  2019cited by this paper
• Roughness and vegetation change detection: A pre-processing for soil moisture retrieval from multi-temporal SAR imagery

  2019cited by this paper
• Forecast Verification

  2019cited by this paper
• Sentinel-1 InSAR Coherence to Detect Floodwater in Urban Areas: Houston and Hurricane Harvey as A Test Case

  2019cited by this paper
• Trends in flood losses in Europe over the past 150 years

  2018cited by this paper
• Early detection and information extraction for weather-induced floods using social media streams

  2018cited by this paper
• An automatic change detection approach for rapid flood mapping in Sentinel-1 SAR data

  2018cited by this paper
• Towards operational SAR-based flood mapping using neuro-fuzzy texture-based approaches

  2018cited by this paper
• The Use of Sentinel-1 Time-Series Data to Improve Flood Monitoring in Arid Areas

  2018cited by this paper
• Automatic near-real-time flood detection using Suomi-NPP/VIIRS data

  2018cited by this paper
• Robust algorithm for detecting floodwater in urban areas using synthetic aperture radar images

  2018cited by this paper
• Flood Mapping Using Synthetic Aperture Radar Sensors From Local to Global Scales

  2018cited by this paper
• Research Pathways of Forest Above-Ground Biomass Estimation Based on SAR Backscatter and Interferometric SAR Observations

  2018cited by this paper
• Fine-scale Altimetry and the Future SWOT Mission

  2018cited by this paper
• SAR-based detection of flooded vegetation – a review of characteristics and approaches

  2018cited by this paper
• Response to Flood Events

  2017cited by this paper
• Probabilistic mapping of flood-induced backscatter changes in SAR time series

  2017cited by this paper
• A Hierarchical Split-Based Approach for Parametric Thresholding of SAR Images: Flood Inundation as a Test Case

  2017cited by this paper
• European Rice Cropland Mapping with Sentinel-1 Data: The Mediterranean Region Case Study

  2017cited by this paper

• Towards Digital Twin in Flood Forecasting with Data Assimilation Satellite Earth Observations—A Proof-of-Concept

  2025cites this paper
• Databelt: A Continuous Data Path for Serverless Workflows in the 3D Compute Continuum

  2025cites this paper