H2020 aqua3S: Enhancing standardisation strategies to integrate innovative technologies for Safety and Security in existing water networks

Part of EU Open Research Repository
Published May 11, 2022 | Version v1
Dataset Open

A tempοral Deep Convolutional Neural Network model on Sentinel-1 Image Time Series for pixel-wise Flood Classification (dataset)

Authors/Creators

  • 1. Centre for Research and Technology Hellas - Information Technologies Institute

Description

This is a dataset which has been designed to be used for flood time series classification. Each time series is annotated as flood or no-flood and represents a pixel-wise time series derived from stack of Sentinel-1 IW GRD images that have been pre-processed according to https://doi.org/10.5281/zenodo.6510223.

Files

Flood_VV_VH_time_series.zip

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Additional details

Funding

European Commission
aqua3S - Enhancing Standardisation strategies to integrate innovative technologies for Safety and Security in existing water networks 832876
European Commission
WQeMS - Copernicus Assisted Lake Water Quality Emergency Monitoring Service 101004157