Sentinel data use for urban mapping and monitoring

This two day hands-on training course is organized by RUS Copernicus as a part of EARsel 5th Joint Workshop “Urban RemoteSensing – Challenges & Solutions” taking place in Bochum, Germany (September 24-26, 2018).

The main goal of this training session is to create theoretical and practical competences on the use of Sentinel data for urban mapping and monitoring. We will be looking at topics such as urban extent, urban sprawl based on multi-temporal and multi-sensor analysis and urban land subsidence using SAR Interferometry (InSAR).

More info on our training here.

Preliminary Programme

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

DAY 1 (Wednesday, 26 September 2018)

Morning:

Theoretical background, principles and methods on urban monitoring and mapping; the topics will include urbanization and climate change, urban extent, urban sprawl, city greenness and perviousness index among others.

Afternoon:

Practical exercises on the topics presented during the theory session using Copernicus Sentinel data and the RUS Virtual Machines. 
Hands-on exercises on mapping urban extent using Sentinel-1 and Sentinel-2 data – comparison of different approaches.

DAY 2 (Thursday, 27 September 2018)

Practical exercises on the topics presented during the theory session using Copernicus Sentinel data and the RUS Virtual Machines.

Morning:

Hands-on exercise on assessing and monitoring urban sprawl using Sentinel-1 and Sentinel-2 data

Afternoon:

Hands-on exercise on urban land subsidence using Sentinel-1 SAR interferometry and the RUS Virtual Machines 

Equipment

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

Audience & selection

• 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 by the end of July 2018

Costs

Attendance to the training course is free of charge, however participants are expected to cover their own travel and accommodation costs.

Max no. of participants

22

Training date

Wednesday 26th of September 2018 - Thursday 27th of September 2018

Location