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Remote Sensing and Digital Image Processing

The course focuses on up-to-date knowledge and technology in the field of photogrammetry, Remote Sensing (RS) and digital image processing for geo-information extraction and production.

Short course Remote Sensing and Digital Image Processing

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In this course, you will learn the theoretical concepts and practical skills to extract geoinformation in established upcoming techniques and innovative approaches. Besides, you will understand the connection of the acquisition and processing procedures, with the accuracy of the results and its relevancy for various applications. 

Scholarships

We are pleased to inform you that this course (intake 2023) is eligible for a scholarship from the Orange Knowledge Programme (OKP) and the Middle East and North Africa (MENA) Scholarship Programme (MSP).  

Managing land use and the Earth’s resources and facing global challenges is becoming increasingly important due to the rising world population, economic growth, environmental degradation, and climate change, among others. 

The use of available, up-to-date, accurate and well-structured geoinformation is essential for applying various applications and utilizing the data to face global challenges and reach optimal solutions. Thus,  planners, resources managers and application scientists now make considerable use of frequently acquired high and medium resolutions of multispectral images and other data structures such as 3D point clouds. Multispectral images are captured from various spaceborne and airborne sensors, as well as innovative platforms such as drones, and 3D point clouds can be acquired with modern techniques such as laser scanners. 

Thus, it is essential to train the staff to extract both thematic and 3D geoinformation from different sensors or scanners in automated and semi-automated processing environments which are continuously under development. 

 For whom is the course relevant?

What is the course content?

The course is structured in 4 sequential modules of 3 weeks each. The first two modules are concentrated on Remote sensing topics and the last two on photogrammetric topics. Learning outcomes are defined per module and evaluated progressively at the end of each one.

  • Module 1: Digital Image Processing

    In this module, you will understand and apply the basic radiometric preprocessing like atmospheric calibration, spatial and temporal filtering and contrast enhancement operations, which is essential in a geospatial problem-solving process. Besides, you will explore the integration of spectral bands in indices and ratios to provide sufficient insight into the information contents of the multi and hyperspectral data sets. 

  • Module 2: Advanced Image Classification

    In this module, Random Forests (RF) classifier will be taught and used to classify both single-date and multi-temporal satellite images. Various strategies for generating samples required to train supervised machine learning classifiers and assess their classification results will be explained in detail.

  • Module 3: Earth Observation Sensors for Mapping Applications

    In this module, you will have a comprehensive overview of airborne Earth observation sensors. The course will also treat in more focus the new platforms and sensors relevant to large-scale mapping applications, including Unmanned Aerial Vehicles (UAVs), laser scanners and mobile mapping systems. Besides, you will apply Global Navigation Satellite Systems (GNSS) receivers to measure the point coordinates and assess the quality of the results. 

    Finally, the Image orientation process, as one of the primary tasks of any photogrammetric procedure, will be taught. This process will result in a solution that relates the image space with the object space. Thus, the absolute or relative 3D position of an object, visible in the stereo pair, can be extracted.

  • Module 4: 3D Data Acquisition from Aerial Imagery

    In this module,  you will learn the geospatial data processing techniques to derive 3D and 2D geoinformation from a sequence of overlapping drone images. Besides, you will process drone multispectral images that can be used for agricultural applications. Furthermore, the module presents oblique aerial photogrammetry, where subjects such as the Nadir (vertical) versus Oblique, accuracy overview, image processing, and applications will be explained.

    During the module, hands-on experience will be gained using the appropriate software packages to process different data sets and assess the outputs.

What will be achieved?

Upon completion of the RS modules, you will be able to: 

Upon completion of the photogrammetry modules, you will be able to:  

About your diploma

Upon successful completion of this course, you will receive a Certificate which will include the name of the course. 

Along with your Certificate you will receive a Course Record providing the name, and if applicable, all the subjects studied as part of the course. It states: the course code, subject, exam date, location and the mark awarded.

Admission requirements

Academic level and background

Applicants for this certificate course should have completed their secondary education in a discipline related to the course specialization and have at least three years of relevant practical experience.

Documentation

The faculty accepts transcripts, degrees and diplomas in the following 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.

English language

As all courses are given in English, proficiency in the English language is a prerequisite.

If you are a national of one of the countries in this list (PDF), you are exempted from an English language test.

Please note: the requirements when applying for fellowships may vary according to the regulations of the fellowship provider.

English language tests: minimum requirements

Only internationally recognized test results are accepted.

TOEFL Paper-based Test (PBT)

500

TOEFL Internet-based Test

61

British Council / IELTS

5.5

Cambridge

C2 Proficiency / C1 Advanced

Online English tests during COVID-19

We acknowledge the difficulties experienced worldwide in taking the compulsory language test, due to the Covid-19 situation. Alternative English tests can be:

Please note that other online English language tests (i.e. IELTS Indicator test, Cambridge online test, etc.) will not be accepted.

Computer skills
If you lack computer experience we strongly advise you to follow basic courses in your home country.

Key information

Certification
certificate
CROHO code
75014
Faculty
Geo-Information Science and Earth Observation
Duration
12 weeks
Language
100% English-taught
Application deadline
EU/EEA
30 January 2023
non EU/EEA
30 January 2023
Dutch
30 January 2023
Starting date
10 April 2023
End date
30 June 2023
Location
Enschede, Netherlands
Tuition fees
Full period 2022 / 2023
full-time, institutional
€ 3.651
Additional costs
Cost of living, full programme
€ 2.696
Insurance, year
€ 161