Advanced Geoinformatics

Learning outcomes

Main topics:

For the course you have to choose between two specializations

1. Earth Observation Science (including image analysis and laser scanning)
2. Geo-Information Processing (including integrated geospatial workflows and spatio-temporal modelling and analytics)

Learning outcomes:

Earth Observation Science specialization

• Develop an image processing chain using non-linear filters and mathematical morphology operations for automatic information extraction from images in context of a given problem.
• Choose and apply a segmentation method to a given image and describe the uncertainty of the obtained result.
• Make informed decisions on the best classification method for a given set of images and a specific problem.
• Apply orthorectification to derive orthophoto.
• Make informed decisions on appropriate image matching method for a given type of data and problem.
• Evaluate attribute and scale uncertainty and relate it to the quality of derived orthophotos, accuracy of resulting image classification and matching.
• Explain how point clouds are generated from GNSS, IMU, and range finder measurements and relative sensor registration.
• Assess the applicability of laser scanning for various tasks, like surface reconstruction and 3D modelling.
• Design survey plans to acquire point clouds taking into account the accuracy and point density requirements.
• Evaluate the quality of laser scanning datasets.
• Determine and apply optimal point cloud processing methods to extract surface descriptions for geometric modelling and point cloud classification.
• Interpret and analyse point cloud processing results.

Entry requirements

Academic level and background

Applicants for the Certificate programme should have a bachelor’s degree or equivalent from a recognised university in a discipline related to the course, preferably combined with working experience in a relevant field.

Some courses in the Certificate programme or separate modules require knowledge of, and skills in, working with GIS and/or digital image processing of remotely sensed data.

Skills in taught or related subjects are a prerequisite for some courses in the Certificate programme or separate modules. Even if the applicant satisfies the overall admission requirements, acceptance is not automatic.

Documentation

The faculty accepts transcripts, degrees and diplomas in the languages: Dutch, English, German, French and Spanish. It is at the discretion of the faculty to require additional English translations of all documents in other languages as well.

Language skills

Success in your studies requires a high level of English proficiency. Therefore, prospective students with an international (other than Dutch) degree must meet the English language requirement. As proof that you meet this requirement, you will be asked in the application procedure to upload one of the requested language certificates:

• IELTS (academic) with an overall band score of at least 6.0 (with a minimum sub-score of 6.0 for speaking and writing) and certificates not older than two years.
• TOEFL iBT (internet-based) with an overall score of 80 (with a minimum sub-score of 20 for speaking) and certificates not older than two years. Please note that the University of Twente does not accept the MyBest scores of the TOEFL test.
• Cambridge C1 Advanced Formerly known as; Cambridge English Advanced (CAE), obtained with an A, B or C grade.
• Cambridge C2 Proficiency Formerly known as; Cambridge English Proficiency (CPE) obtained with an A, B or C grade.
  Only these internationally recognised test results are accepted. Without a valid certificate, we cannot process your application.

Who is this offered to?

This course builds on already acquired competences concerning geospatial data acquisition and geo-information processing, and science. Thus, it is envisaged that you have relevant working experience in geo-information science and earth observation, focusing on its technological side, following graduation from a relevant BSc.