On Tuesday 12 September 2017, one day prior to the start of the GEO Human Planet Forum, JRC will conduct a one day workshop at the ITC Faculty on how to extract built-up areas from remote sensing images with their Massive Automatic Spatial Data Analytics tool. The course provides basic knowledge about the MASADA tool and the Global Human Settlement Layer product which is generated with it. In addition to theoretical background and examples of the use of the GHSL data, participants will receive hands-on training in the use of MASADA. Please check the short course description and register below.
It is essential that you ensure that you bring your own computer with sufficient power to successfully operate the MASADA tool. Please check the minimum specification below. ITC will not provide computing facilities for this training.
Built-up Area extraction with the Massive Automatic Spatial Data Analytics (MASADA) tool
Christina Corbane, Scientific/Technical project officer
Joint Research Centre
Space, Security and Migration (Ispra)
Tuesday 12 September 2017
University of Twente, Faculty ITC
Max. 20 (10 places are reserved for ITC participants: please register below on a first come, first served basis)
There is no cost for the training course but participants are expected to cover their own travel, accommodation and refreshments for this day. Food and drinks can be bought in the faculty’s restaurant.
9.00 - 12.30 hrs
- The Global Human Settlement Layer (GHSL) concept: data analytics, knowledge extraction and global products
- The Symbolic Machine Learning (SML) classifier for mapping human settlements from remote sensing data
- Operationalizing scientific information into indicators in support for post-international frameworks: key findings from Atlas 2016 and Atlas 2017
- How to access to GHSL data
13.30 - 17.00 hrs
- Hands-on computer lab on Built-up extraction with the MASADA tool
Participants must bring their own laptop computer (see requirements below)
- Basic knowledge of GIS, remote sensing and data analysis
- Software: Quantum GIS or ArcGIS, Matlab runtime 2016b
- Minimum Hardware requirements for running MASADA: 16 GB of RAM - Any Intel or AMD x86-64 processor, 100 Mb (+ 700 Mb for Matlab Runtime) disk space for installation and the Matlab Runtime version 2016b. The supported OS are 64-bit Win7-Win10.
To register for this training, send an e-mail to: