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ZENODO
Dataset . 2026
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2026
License: CC BY
Data sources: Datacite
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EO4FLOOD - EO dataset for Hydrology

Authors: Tarpanelli, Angelica; Ciabatta, Luca; Massari, Christian; Zaprzala, Sylwester; Cantoni, Elia; Sengupta, Dhritiraj; Revilla-Romero, Beatriz; +14 Authors

EO4FLOOD - EO dataset for Hydrology

Abstract

The EO4FLOOD project (https://eo4flood.org/) aims to demonstrate the maturity and effectiveness of cutting-edge satellite observations for enhancing flood forecasting systems. By leveraging advanced satellite technologies and state-of-the-art algorithms, the project improves the accuracy and timeliness of hydrological and hydraulic models, leading to more reliable and precise flood predictions. This repository provides the Advanced Open Earth Observation Dataset (EO4FLOOD dataset), built from the latest products of both ESA and non-ESA satellite missions. The dataset includes nine basins with high spatial and temporal resolution satellite data and is designed to support research and operational applications in flood monitoring and forecasting. A comprehensive description of the dataset, including its processing workflow, methodological framework, and technical specifications, is provided in the official project documentation, ATBD and PSD. These documents will be made available on the project website, allowing users to verify the dataset structure, assumptions, and implementation details directly from the project materials.

Keywords

flood extent, Snow, rainfall, river width, Flood forecast, soil moisture, Water level, river discharge

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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