Certficate course in
Earth Observation and Quantification of Water Cycle Components
|Certification||Location||Start||Duration||EC||Tuition fee||Registration deadline||NFP registration deadline||Register|
|Certificate||Netherlands||06 Jan 2014||12 weeks||20||EUR 2500||Registration is closed||07 May 2013||n.a.|
In this 12-week course, the theoretical background of the different water budget and water quality components is discussed, including the earth observation methodologies to quantify each of the components. To assess the water balance component you need data. Data can be obtained from the ground and/or from satellite observations. Also applications of process modelling require reliable data related to water quantity and quality, climate, soils and vegetation. Today, using the newest sensor, ground and environmental technologies, a large number of these data can be acquired from space and can be integrated with in situ and laboratory measurements.
For whom is the course relevant?
This course is designed for all who want to learn how earth observation can contribute to the quantification of hydrological systems.
What will be achieved?
The contribution of earth observation to hydrological assessment and analyses will be reviewed at various scales. Your hydrological and earth observation knowledge will be strengthened, and your analysing skills in spatial hydrology will be greatly enhanced through using dedicated software to master all kinds of guided exercises.
What is the course content?
In this course, the theory and methods of using earth observation to quantify water cycle components will be presented. The following components will be discussed:
- rainfall/runoff processes
- evaporation /transpiration
- soil water and groundwater
- hydrochemistry and water quality.
On completion of this course, participants should have acquired knowledge of:
- methods of quantifying different components of the hydrological budget
- the role earth observation can play in the quantification of the water cycle
Through exercises students develop skills in:
- the quantification of components of the hydrological cycle
- the determination and monitoring of environmental indicators such as water quality parameters, and soil and climate data (meteorological and energy budget)
- the use of earth observation for acquiring hydrological, meteorological, soil and groundwater data.
Furthermore, participants gain experience in working in groups, writing reports and presenting results.
Why choose this course?
The field of earth observation and computational hydrological methods is developing very rapidly. The course is unique in the sense that the components of the hydrological cycle will systematically be linked with earth observation, in combination with advanced computational techniques.
Academic level and background
Applicants for the Certificate programme should have a Bachelor 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.
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)||550|
|TOEFL Internet-based Test||79-80|
|British Council / IELTS||6.0|
Applicants lacking computer experience are strongly advised to follow basic courses in their home countries.