INTRODUCTION TO GOOGLE EARTH ENGINE FOR ADVANCED GEOSPATIAL ANALYSIS

(Project laboratory, Informatic laboratory, Frontal teaching)

  • Language: ENGLISH
  • Campus: AULA VIRTUALE, MILANO CITTÀ STUDI
  • Enrollment: 16-02-2023to hour 12:00 on
    23-02-2023
  • Subject area: Tools
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Teacher in charge
BROVELLI MARIA ANTONIA
Credits
3
Hours to attend
18
Prerequisites

There are no prerequisites.

Max. number of students
25
Selection Criteria
Order of registering
Topics:
GOOGLE EARTH ENGINE, LAND COVER, Remote sensing, Sustainability, hazards
Tag
Environment and land planning, Surveying and monitoring

Description of the initiative

Short introduction to Remote Sensing (active and passive sensors)

1) What is Google Earth Engine (GEE) and introduction to satellite data (Sentinel 1, 2, Landsat and Modis)

2) GEE and Javascript interface (basic commands and ee.Objects)

3) View the DEM and basic operations

4) Functions, Map and NDVI calculation (first on single images, then on image collections)

5) Spatial statistics and Export. QGIS export example

6) Monthly Composites and Area Calculations using the Global Forest Change or the JRC Water product

7) Segmentation and use of Quality Flag for various sensors

8) Exercise Classification

Duration

dal February 2023 a April 2023

Calendar


27/02/23 16:00 - 20:00
Syllabus: Introduction to Remote Sensing and MODIS, Landsat and Sentinel constellations. Introduction to Google Earth Engine (interface, data catalogue, import/export).

13/03/23  16:00 - 20:00
Syllabus: Hands-on Google Earth Engine. Mapping, Reducers and composites.

20/03/23  16:00 - 20:00 
Syllabus: Classification: theory and hands-on Google Earth Engine. Extractions of time series of precipitation and temperature. Introduction to Global Forest Change and Water Product of JRC. 

27/03/23  16:00 - 20:00 
Syllabus: Introduction to Sentinel 1 and flood analysis. Debugging, downloading, reviewing and support of the projects.

17/04/23 16:00 - 18:00 (alternative can be 03/04/23 16:00 - 18:00)
Syllabus: Project reviews and support

Note

Course coordinated by Maria Antonia Brovelli; lectures are conducted by: Vasil
Yordanov and Guido Ceccherini.

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