This training is in the past.

Urban classification with Sentinel-1

During this webinar, we will employ RUS to map build-up areas in the surroundings of Bochum, Germany using a supervised classification (random forest algorithm) and coherence derived from Sentinel-1 SLC data.

We will show you how to access the RUS Service and how to download, process, analyze and visualize the free data acquired by the Copernicus satellites.

Background

As the world is facing a large increase in population, reliable information on urban areas is required to assist and help in the decision-making process. Different methods can be used to gather this information but satellite earth observation offers a suitable approach based on the coverage and type of data that are provided.

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Questions & Answers

View and download this webinar's Q&A session document.


Type

Webinar

Duration

1 hour + 20 minutes for Q&A

Training Time

14:30 - 16:00 CEST

Training date

Tuesday 16th of October 2018

Max. no. participants

500

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