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AI FOR WATER


RAINSMORE/SWOT WORKSHOP ON ARTIFICIAL INTELLIGENCE

OCTOBER 24th-28th 2022

Online and Presential Conference  

FORTALEZA, BRAZIL

This first workshop is finished, but we will come back next year for season 2 !


See some photos and download the presentations from the present workshop here

Sponsor

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Realization

Speakers

Speakers

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Antonio Geraldo Ferreira

LABOMAR/EOLLAB

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Marielle

Gosset

IRD/GET

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Rômulo

Oliveira

IRD/GET

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Modeste

Kacou

UFHB

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Rafael

Reis

FUNCEME

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Emilie

Caillault

ULCO

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Kelly

Grassi

WeatherForce

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Guilherme

Barreto

UFC/DETI

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Nicolas

Araujo

UFC/GTEL

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Manuel Sánchez-Montañés

Universidad Autónama de Madrid

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Valdivino Alexandre de Santiago

INPE

Organization

Organization
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Geraldo

Ferreira

LABOMAR/EOLLAB

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Emilie

Caillault

ULCO

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Marielle

Gosset

IRD/GET

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Nicolas

Araujo

UFC/GTEL

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Tarcisio

Maciel

UFC/GTEL

Agenda

MORNING

Lectures open to the public registered in the event via ZOOM

09h-10h

Introduction to the workshop

- Context and objectives of the workshop (Dr Marielle Gosset IRD ; Dr Geraldo Ferreira EOLLAB ; 15’)

- Why and how studying Extreme rainfall, limits of usual estimation / prediction models (Dr Modeste Kacou UFHB; Dr Romulo Oliveira, IRD/HydroMatters ; 30’)
- Why and how studying Small Water Surface (lakes, reservoirs), satellite data and actual limits (Rafael Reis - FUNCEME ; 15’)

10h-12h

Introduction to AI methods

- IA methods, a general overview (Pr Emilie Caillault Univ Lilles, 45’+questions)

- Time series forecasting using kernel regression methods (Pr Guillerme Barreto, UFC/DETI, 45’+questions)

- Week agenda and provided data set (M Gosset, 5’)

MORNING

Lectures open to the public registered in the event via ZOOM

09h-11h

Time series prediction, from time alignment to basic algorithms

(Dr Kelly Grassi, Weather Force; 45')
 

Times series completion algorithms used for prediction - DTWB

(Pr Emilie Caillault Univ Lilles ; 45')

11h15-12h15

Times series prediction by LSTM. Theory and example from Ceará

(Pr Nícolas Araujo ; 45’)
 

Example of problem to be solved - Rainfall time series analysis from Commercial Microwave links or sound sensors

(Dr. Marielle Gosset, IRD 15')

MORNING

Lectures open to the public registered in the event via ZOOM

09h-11h

Detection of patterns by Deep NN, transfert learning

(Pr Nicolas Araujo, UFC/GTEL ; 45')

 

Deep learning and object detection - Examples from medical applications

(Pr Manuel Sánchez- Montañés, Universidade Autónoma de Madrid; 45')

11h15-12h15

Training Rare Object Detection in Satellite Imagery by GAN and autoencoders

(Pr Nicolas Araujo, UFC/GTEL ; 45')

MORNING

Lectures open to the public registered in the event via ZOOM

09h-10h30

Clustering approach : Density, Shape, Hierarchical Kernel - approaches

(Pr Emilie Caillault Univ Lilles ; 45')

MSC a multi-level spectral clustering approach to detect extreme events, unknown patterns

(Dr Kelly Grassi, Weather Force; 30')

11h-12h

How to combine clustering and classification results, relevant object class

(Pr Emilie Caillault Univ Lilles ; 45')

 

Examples of application of unsupervised learning

(Dr Kelly Grassi, Weather Force; 30')

MORNING

Lectures open to the public registered in the event via ZOOM

09h-10h

Semantic Segmentation of Satellite Images

Dr Valdivino Alexandre de Santiago, INPE; 45’)

10h-11h

Results from participants

Discussion

11h-12h

Panel discussion / next workshop

AFTERNOON

Limited attendance: Class at the LABOMAR’s Computer Laboratory

14h-17h

Hands on - EOLLAB - Computer Lab (limited attendance)

- Python installation/setup (installation, creation of virtual environments, required packages)
- Regression with data visualization.

- Data treatment/splitting: training, testing, and validation datasets.
- Usual metrics.

AFTERNOON

Limited attendance: Class at the LABOMAR’s Computer Laboratory

14h-17h

Hands on - EOLLAB - Computer Lab (limited attendance)

a- Notebook explained / Guided tutorial by Emilie Caillault 1h. Alignment. completion. prediction (kalman, DTWBI, LSTM, Random Forest)
b- Application to study cases with support (Emilie CAillault, Kelly Grassi) 2h min. Using Dataset #1

Obs: Apply algorithms to vector data (not images at this point) which will meet the nature of the data presented in the morning sessions

AFTERNOON

Limited attendance: Class at the LABOMAR’s Computer Laboratory

14h-17h

Hands on - EOLLAB - Computer Lab (limited attendance)

- Supervised learning methods

- Introduction to NN: MLP, Transfert Learning (deep NN)

-  Mention of more advanced techniques: GANs, Federated Learning, etc., but not hands-on (due to time/computing constraints).

- Which dataset will be used? (small resolution!)

a- Notebook explained / Guided tutorial 1-2h (data preparation and classification)

b- Application to study cases with support 2h min.

AFTERNOON

Limited attendance: Class at the LABOMAR’s Computer Laboratory

14h-17h

Hands on - EOLLAB - Computer Lab (limited attendance)

- Detect on Dataset #1 the raining period (start, end)

- Clustering vs explicit segmentation based on rupture/breaks
a- Notebook explained / Guided tutorial 1h (clustering)

b- Application to study cases with support

2h min.

14h-17h

Hands on - EOLLAB - Computer Lab (limited attendance)

- EOLLAB (computer lab)
Q&A on the exercises & practice of the week?

Tutorial

Schedule

October 24th

Displayed in Brasilia time (GMT-3)

Introduction to rainfall/water monitoring needs and Artificial Intelligence (AI) methods

October 26th

Displayed in Brasilia time (GMT-3)

Images classification and pattern detection using AI

 1- Supervised approach

October 25th

Displayed in Brasilia time (GMT-3)

Time series analysis and prediction using AI. Application to rainfall estimation from MW links ; radar and satellite

October 27th

Displayed in Brasilia time (GMT-3)

Cmages classification and pattern detection using AI

2- UNSupervised approach

AFTERNOON

Limited attendance: Class at the LABOMAR’s Computer Laboratory

October 28th

Displayed in Brasilia time (GMT-3)

Other methods and applications: Results from hands on

About

04

11

203

DAYS
SPEAKERS
PARTICIPANTS
and counting...
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About the event

In the framework of the international research network RAINSMORE and the SWOT NordEste project, we are happy to invite you to a 5 days workshop on the topic Artificial Intelligence (IA) applied to surface water and rainfall time series and images analysis.

The morning sessions (also available online) - 9-12 h Brasilia time (GMT-3) will be dedicated to lectures on IA and its use for time series analysis and prediction, image classification, object detection, with examples in the domain of rainfall and surface water.

The afternoon sessions (limited attendance) will be dedicated to hands on using open-source IA packages (python based) and sample data sets.

Where: LABOMAR/EOLLAB (Av. da Abolição, 3207 - Meireles, Fortaleza).

For Whom: The workshop is aimed in priority at PhD and master level students, as well as researchers willing to learn and use IA methods.

Organizers: The workshop is co-organized by Federal University of Ceara (UFC)/Earth Observation LABOMAR Laboratory (EOLLAb) and GTEL (Wireless Telecommunications Research Group), and the French Institut de Recherche pour le Développement (IRD) in collaboration with Université du Littoral Côte d’Opale (LISIC lab) and Weather-Force.

With financial support from: IRD through the RAINSMORE IRN and the French Consulate in Recife.

The Rainsmore project

RAINSMORE, for ‘Raincell et Autres INnovations, Satellites et Mesure Opportunistes issues des Reseaux de telecommunication, pour Estimation et spatialisation des precipitations’ is an International Research Network (IRN) financed by the french Institut de Recherche pour le Dévelopement (IRD).

 

RAINSMORE objective is to gather experts in data science and hydrometeorological sciences, to innovate together for better rainfall measurement and analysis.

RAINSMORE gathers scientists from Africa, South America and Europe.

The SWOT mission

The SWOT Mission

The SWOT (Surface Water Ocean Topography) mission, which is a fruit of cooperation between France, the United States, the United Kingdom, and Canada. SWOT is a satellite dedicated to studies on ocean topography and terrestrial water bodies dynamics and will open new perspectives for fields such as oceanography, hydrology, among others.

SWOT NordEste is a project that gathers various reserach and operation agencies in Brasil and France, with the objective to validate and valorise the data from the upcoming SWOT mission in Nord Este Brasil, for different applications.

For more information about the mission, go to:

CNES     NASA

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