This course is about the retrieval of quantitative information on vegetation. In particular, the focus will be on vegetation traits namely leaf area index and phenology and how they can be estimated using remote sensing.
Definitions and details about these parameters, how they are measured in the field and how they are estimated using remote sensing data will be provided during the course.
Upon completion of this course, you can:
- Understand spectral properties of vegetation and explain the use and role of vegetation parameters in various applications for terrestrial ecosystems.
- Conduct field and laboratory measurements for several plant traits.
- Familiarise with modelling approaches of plant traits, including general statistical approaches (such as calculation of various vegetation indices), and simple radiative transfer models.
- Explain existing phenological analysis techniques and its relevance to a range of applications.
- Estimate phenological parameters, such as start- and end-of-season, from satellite image time series.
- Apply the learned techniques in an individual assignment related.
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, EC credits, exam date, location and the mark awarded.
This certificate course is part of the accredited Master’s programme Geo-information Science and earth Observation at ITC. If you decide to take the full Master’s programme Geo-information Science and Earth Observation programme at ITC, the Examination Board will give you in principle exemption from the course you followed successfully as a certificate course.
Academic level and background
Applicants for the Certificate programme should have a Bachelor degree or equivalent from a recognized 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.
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.
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 recognised test results are accepted.
TOEFL Paper-based Test (PBT)
TOEFL Internet-based Test
British Council / IELTS
C2 Proficiency / C1 Advanced
Applicants lacking computer experience are strongly advised to follow basic courses in their home countries.