ML4Floods inference for flood extent estimation using pre-trained model on Sentinel-2 or Landsat-9 data v0.3.5

ML4Floods is an end-to-end ML pipeline for flood extent estimation using optical satellite data from Sentinel-2 or Landsat-8/9 acquisition

This software is licensed under the terms of the Creative Commons Attribution 4.0 International license - SPDX short identifier: CC-BY-4.0

2025-10-29 - 2026-04-01T15:55:56.263 Copyright Terradue Srl - > https://ror.org/0069cx113

Project Team

Authors

Name	Email	Organization	Role	Identifier
Brito, Fabrice	fabrice.brito@terradue.com	Terradue	Project Manager	https://orcid.org/0009-0000-1342-9736
Re, Alice	alice.re@terradue.com	Terradue	Researcher	https://orcid.org/0000-0001-7068-5533
Tripodi, Simone	simone.tripodi@terradue.com	Terradue	Project Leader	https://orcid.org/0009-0006-2063-618X

Contributors

Name	Email	Organization	Role	Identifier
Vaccari, Simone	simone.vaccari@terradue.com	Terradue	Researcher	https://orcid.org/0000-0002-2757-4165

User Manual

User Manual can be found on https://eoap.github.io/app-ml4floods/.

Runtime environment

Supported Operating Systems

• Linux
• MacOS X

Requirements

• https://cwltool.readthedocs.io/en/latest/
• https://www.python.org/

Software Source code

• Browsable version of the source repository;
• Continuous integration system used by the project;
• Issues, bugs, and feature requests should be submitted to the following issue management system for this project

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ml4floods

CWL Class

Workflow

Requirements

• InlineJavascriptRequirement
• ScatterFeatureRequirement
• SchemaDefRequirement

Inputs

Id	Type	Label	Doc
product_uri	URI: value: string	Optical satellite acquisition	Sentinel-2 or Landsat-9 acquisition to be processed
collection_uri	One of: URI: value: string null	Collection URI	Collection for publishing the results
water-threshold	One of: null float	Water threshold	Threshold for water detection (default 0.7)
brightness-threshold	One of: null int	Brightness threshold	Threshold for brightness (default 3500)

Steps

Id	Runs	Label	Doc
inference	#ml4floods-cli	None	None

Outputs

Id	Type	Label	Doc
flood-delineation	Directory	None	None

OGC API - Processes

When ml4floods Workflow is exposed through OGC API - Processes - Part 1: Core, inputs and outputs fields below represent the interface of the getProcessDescription API.

Inputs

Outputs

UML Diagrams

Activity diagram

Learn more about the Activity diagram below.

Component diagram

Learn more about the Component diagram below.

Class diagram

Learn more about the Class diagram below.

Sequence diagram

Learn more about the Sequence diagram below.

State diagram

Learn more about the State diagram below.

Run in step

inference

ml4floods-cli

CWL Class

CommandLineTool

Inputs

Id	Option	Type
product_uri	--product-uri	URI: value: string
collection_uri	--collection_uri	One of: null URI: value: string
water_threshold	--water-threshold	One of: null float
brightness_threshold	--brightness-threshold	One of: null int

Execution usage example:

ml4floods-cli <ARGUMENT_DYNAMICALLY_SET> \
--product-uri <PRODUCT_URI> \
(--collection_uri <COLLECTION_URI>) \
(--water-threshold <WATER_THRESHOLD>) \
(--brightness-threshold <BRIGHTNESS_THRESHOLD>)