Google Earth Engine for Spatio-Temporal Analysis of Hydrological Extremes

This course will provide an overview of remote sensing products and present their multiple uses in flood and droughts management.  

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2019

For whom?

Prospective participants are both scientists and practitioners in the field of hydrological extremes (floods and droughts) management and remote sensing. Water Authorities interested in improving water resources management by means of multiple remote sensing sources and Google Earth Engine are also welcome.

Dates, Fee, ECTS

Start: 16 September 2019
End: 20 September 2019
Deadline IHE application: 15 August 2019 - 23.59 (CET)
Course fee: € 950

VAT is not included in the course fee

Learning objectives

Upon completion, the participant should be able to:
  1. To acquire a theoretical understanding of the remote sensing products available for water resources management purposes
  2. To master the Google Earth Engine platform for data collection, visualization and classification.
  3. To be able to perform complex spatial-temporal analysis with Google Earth Engine using the latest remote sensing products.
  4. To apply Google Earth Engine for large scale hydrological extremes management

Course content

The use of remote sensing data for hydrological extremes management allows for a more distributed representation of the catchment than standard in-situ network of sensors. However, the processing of remote sensing information over a vast area may require considerable computational time in case of complex spatio-temporal analysis at fine resolution. For this reason, the open-access Google Earth Engine Platform can be used for this type of analyses.

This course will initially provide an overview of remote sensing products and then present their multiple uses in flood and droughts management. After that, the Google Earth Engine tool will introduced in a detailed and comprehensive way. Theory and practical exercises correspond to 60% and 40% of the course time respectively. Participants are invited to bring their own case study to apply the Google Earth Engine tool on existing water related issues.

The structure of the course will be as follows:

1. Theoretical background on remote sensing

2. Introduction to Google Earth Engine and Java scripting

3. Data collection, visualization and classification with Google Earth Engine

4. Time series analysis

5. Hydraulic modelling for flood management

6. Application of Google Earth Engine in flood management

7. Droughts analysist

Lecturers

  • Dr. Gennadii Donchyts
  • Dr. Gonzalo Espinoza Davalos
  • Dr. Maurizio Mazzoleni
  • Tim Hessels

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