Addressing hydrological problems with massive satellite data using Google Earth Engine

  • Speakers: Prof. Grégoire Mariéthoz (UNIL), Dr. Fabio Oriani (Agroscope), Saeed Mhanna (UNINE)
  • Location: University of Neuchâtel, Avenue de Bellevaux 51 (room: GB31-33, UniMail) - please note that this is NOT an online course
  • Dates: 20-22 March, 2024, 9:30-17:30
  • Cost
    • WES PhD School members: no fee.
    • UNINE Doctoral School in Life Sciences members: no fee
    • Others:
      • Academic participants: 300 CHF
      • Industry participants: 600 CHF
      • Note: all external participants must email the PhD School Coordinator. We reserve the right to limit place, with priority given to students registered in the WES PhD School.
  • Registration: Registration is closed.  
    • Note that if participants cannot attend all three days, they should note this in the registration form.

Course overview

The aim of this course is to provide advanced knowledge and tools for the use of satellite remote sensing data for applications in hydrology. This will include knowledge about the available data, retrieval and processing of satellite imagery, and methods for computer-aided visualization and processing of remote sensing data. A large part of the course will revolve around the Google Earth Engine platform, which allows manipulating large amounts of remote sensing imagery (e.g. large domain, long image time-series) by leveraging cloud computing. 

Day 1:

  • Physical bases of remote sensing: wavelengths, interactions between light and surfaces
  • ​Existing satellite missions and data
  • ​Image processing algorithms

​Day 2:

  • Data retrieval
  • Indices and thresholding techniques

Day 3: 

  • Supervised and unsupervised classification
  • ​Hydrological applications (including water balance approaches and GRACE)