Sentinel data use for Land Cover and Forest Fires monitoring

This 2 full day hands-on training course is organised by RUS and the NOVA Information Management School in cooperation with Direção-Geral do Território.


Objectives

The main goal of this training session is to create theoretical and practical competences on the use of Sentinel data for Land Cover Land Use (LCLU) monitoring (i.e. mapping and change detection) and for forest fires related applications (e.g. fire risk and burned area mapping).

This training course is the outcome of the Copernicus Training and Information session which took place in Lisbon on 7 June 2017, where the requirements for hands-on sessions were defined and participants' interest collected.


Preliminary Programme

The course includes lectures on the theory of satellite image processing and classification as well as hands-on exercises.


DAY 1 (Thursday 8 February 2018) - LCLU theory and mapping

Morning:

Theoretical background, principles and methods for land cover mapping. Topics will include:

  • The need for LCLU monitoring
  • Sentinel 2 satellite data
  • Understanding satellite images and pre-processing
  • Satellite image classification
  • Post-classification and accuracy assessment
  • Overview of change detection methods
Afternoon:
  • Practical exercises on the topics presented during the theory session using Copernicus Sentinel data and the RUS Virtual Machines.

DAY 2 (Friday 9 February 2018) - Forest Fires applications

Morning:

Theoretical background, principles and methods for monitoring forest fires from space. Topics will include, amongst others:

  • Sensitivity and specificity of the fire signals
  • Multitemporal compositing for burned area mapping
  • Mapping the 2017 area burned in Portugal with Sentinel-2 data
  • Global pyrogeography research
Afternoon:
  • Practical exercises on the topics presented during the theory session using Copernicus Sentinel data and the RUS Virtual Machines.

Equipment

Attendees will bring their own laptop and will be provided with access to the RUS platform Virtual Machine.

Costs

Attendance to the training course is free of charge, however travel and accommodation expenses are excluded.

Max no. of participants

20

Audience & selection

  • This training course is addressed to participants with a few years' experience (2-5) in Earth Observation and an understanding of automatic image processing
  • Participants will be selected to attend on the basis of the questionnaire filled in at application
  • Confirmation e-mails to selected attendees will be sent in early January 2018

Training date

Thursday 8th of February 2018 - Friday 9th of February 2018

Application opening - closing

Friday 1st of December 2017 - Friday 15th of December 2017
Application is closed

Location

NEW IMS Information Management School
Campus de Campolide, 1070-312 Lisboa, Portugal

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