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stagebureau
Datum binnenkomst:
Beschikbaarheidsformulier stageplaatsen
Door middel van dit formulier kunt u aangeven of u één of meer stageplaatsen aan wilt
bieden aan een student Civiele Techniek van TU Delft. U kunt dit formulier sturen naar
onderstaand (e-mail)adres.
Wij danken u bij voorbaat voor uw moeite.
TU Delft
faculteit Civiele Techniek en Geowetenschappen
stagebureau Civiele Techniek
Stevinweg 1
2628 CN DELFT
tel. 015-278 1174
fax 015-278 4889
e-mail: stage@citg.tudelft.nl
Aantal stageplaatsen
Ik stel 1 - 4 stageplaats(en) beschikbaar aan één of meer studenten Civiele Techniek.
Periode/duur
Binnen welke periode kan de stage plaatsvinden en wat is de duur van de stage?
Periode: 2015 – 2016 (per direkt)
Duur: 10 - 20 weken (minimaal 8 weken)
Stageopdracht
Kunt u zo nauwkeurig mogelijk omschrijven wat de inhoud van de stage is en - meer
specifiek - waaruit de werkzaamheden bestaan? Als u meer stageplaatsen aanbiedt,
graag per stageplaats de stageinhoud en werkzaamheden weergeven.U mag uiteraard
ook aangeven dat de invulling in overleg met de stagiair gebeurt.
Inhoud: Zie beneden
1
Werkzaamheden: zie beneden
Stagelocatie (plaats/land): Leiden, Nederland
Beschrijving bedrijf/instelling
Kunt u in het kort een omschrijving van uw bedrijf/instelling geven? Ter ondersteuning
hiervan stellen wij het op prijs jaarlijks een recent(e) brochure, jaarverslag e.d. van uw
bedrijf/instelling te ontvangen ten behoeve van onze bedrijvendossiers die studenten in
kunnen kijken.
At Airbus Defence and Space Netherlands we have state-of-the-art facilities to design,
assemble, test and deliver our technology. And we have more than forty years of
knowledge and experience that we can apply in the aerospace and defence industry.
Give our engineers a challenge – preferably as large as possible – and they will provide
a targeted solution within the budget and time available.
For more information: see www.airbusds.nl
Overige opmerkingen
…………………………………………………………………………………………………………………………
Bedrijfsgegevens
naam bedrijf/instelling:
afdeling:
contactpersoon voor
bovengenoemde stage(s):
contactpersoon voor
stage in het algemeen:
bezoekadres:
postadres:
postcode/plaats:
telefoonnummer:
faxnummer:
e-mailadres:
internet:
Airbus Defence and Space Netherlands
Technology & Innovation
Zie opdrachten
Sjaak Koot
Mendelweg 20, 2333 CS Leiden
P.O. Box 32070
2303 DB Leiden
+31(0)71 5245453
……………………………………
s.koot@airbusds.nl
www.airbusds.nl
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Internship Assignments
Table of Contents

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Air Quality Downstream Market Analysis
Time Series Analysis Service for NDVI data
NoSQL for Downstream
Downscaling Satellite Rainfall Monitoring Information
Demonstrator for Air Quality Products
Rapid Prototype Platform for Downstream Services
Air Quality Downstream Market Analysis
Level
Duration
#Students
Start
Area
Contact
: University
: ~20 weeks
:2-4
: As soon as possible (2015)
: remote sensing, business development, market analysis
: p.walthuis@airbusds.nl, s.koot@airbusds.nl
The assignment is about business development for air quality services based on remote sensing
data. Airbus Defence and Space has considerable experience in building instruments for
atmospheric research.
Together with TNO and KNMI we are now developing the TROPOMI instrument
(http://www.tropomi.nl/over-tropomi/about-tropomi/?lang=en) which allows scientists to map
carbon monoxide, methane, nitrogen dioxide and the ozone among other things.
The importance of air quality and greenhouse gasses is increasingly recognized by governmental
organizations. However, how a true business case can be made using remote sensing data is not
yet clear. Therefore the assignment has to address the following questions:



Which organisations could act as paying customers for air quality data and what would
they need?
What is the value proposition they seek? E.g. what aspects of air quality are they
interested in?
What organisations already provide (commercial) services related to air quality?
What kind of organisations are they (commercial, governmental, research, NGO, …).
What do they offer?
What are the opportunities for Airbus Defence and Space Netherlands?
The assignment is in particular suitable to be addressed by a team and train working within a
team.
Depending on the number of students available in the group, the market analysis may be adopted
in breadth and/or depth.
Output:

Market analysis document
3
See also:

http://www.airbusds.nl
Time Series Analysis Service for NDVI data
Level
Duration
#Students
Start
Area
Contact
: HBO / University
: ~10 weeks
:1-2
: As soon as possible (2015)
: remote sensing image processing
: s.koot@airbusds.nl
Time series analysis of e.g. NDVI remote sensing data, may provide valuable information for
agriculture. This analysis may be provided as a service to the user.
The objective of this exercise is to prototype a time series analysis processing chain in the
Downstream Laboratory using e.g. NDVI remote sensing data. Using the time series analysis it
may be possible to classify land use/land cover or crop cycles start and end and crop cycle
anomalies. Another possibility is to cross-correlate rainfall data (e.g. CHIRPS) with NDVI data.
Apart from performing different types of timer series analysis for a particular pixel, it is also
necessary to aggregate the information in a useful form. A straight forward way is to aggregate
using rectangular areas, however practically the aggregation may be done using administrative or
geological boundaries.
Output:

Prototype service implementation
NoSQL for Downstream
Level
Duration
#Students
Start
Area
Contact
: HBO / University
: ~20 weeks
:1-2
: As soon as possible (2015)
: NoSQL, GIS databases, bigdata, remote sensing, SW architecture
: s.koot@airbusds.nl
Spatial Data Information Systems become more complex due to the wide variety of data sources
(satellite information, ground sensors, user input, etc). "Bigdata" technology may be useful to
manage the diverse data. One of these technologies is "NoSQL" databases.
The objective of the internship (20 weeks) is to investigate the application of NoSQL database
(e.g. Hadoop, MongoDB) in the Downstream Laboratory using a satellite data processing chain.
Activities:




(4 weeks) Develop Use cases for satellite data processing chain
(2 weeks) Design mapping of satellite data onto NoSQL database
(1 week) Select NoSQL database, depending on
o Maturity
o Availability spatial data interfaces
(10 weeks) Build prototype using selected NoSQL database
o Integrate NoSQL database in satellite image processing chain
4
Note that the internship main focus is functionality. Performance , although important, is not
addressed in this internship.
Output:


Evaluation application of NoSQL database technology in Downstream
Prototype implementation
Downscaling Satellite Rainfall Monitoring Information
Level
Duration
#Students
Start
Area
Contact
: HBO / University
: ~20 weeks
:1-2
: As soon as possible (2015)
: Remote sensing image processing, modelling
: s.koot@airbusds.nl
Current open data rainfall information (e.g. CHIRPS) has a resolution of 5km. In mountainous
areas this may is not sufficient.
Objective of this exercise is the investigation of methods to down scale the resolution using for
example micro-climate models to 500m.
Output:

document describing approach for downscaling rainfall monitoring
Demonstrator for Air Quality Products
Level
Duration
#Students
Start
Area
Contact
: HBO / University
: 10 / 20 weeks
:1-2
: As soon as possible (2015)
: remote sensing, air quality
: s.koot@airbusds.nl
Together with TNO and KNMI we are now developing the TROPOMI instrument
(http://www.tropomi.nl/over-tropomi/about-tropomi/?lang=en) which allows scientists to map
carbon monoxide, methane, nitrogen dioxide and the ozone among other things.
The importance of air quality and greenhouse gasses is increasingly recognized by governmental
organizations. However, how a true business case can be made using remote sensing data is not
yet clear. Using the Downstream laboratory at Airbus Defence and Space the Netherlands a
demonstrator for air quality products can be developed. The student is invited to bring his own
ideas. Examples of product ideas are:





Air quality indication for holiday locations (e.g. hotels)
Air quality indication for residential areas
Ship exhaust monitoring
Agricultural area monitoring
...
Output:
5


document describing the rapid prototype platform
prototype / demonstrator product
Rapid Prototype Platform for Downstream Services
Level
Duration
#Students
Start
Area
Contact
: HBO / University
: 10 / 20 weeks
:1-2
: As soon as possible (2015)
: remote sensing, SW architecture
: s.koot@airbusds.nl
For the interaction with potential customers a platform is needed to prototype a downstream
service in short time. The objective of this exercise is to perform a "rapid" development of a air
quality service and identify the needs to support such development. The targeted development
time for a prototype service is 1 week.
This assignment can concentrate on evaluating the available technologies (e.g. geo publishing
and processingplatforms, database solutions, App development platform, ...), As a 'pipeline
development' vehicle a service based on air quality remote sensing data could be developed .
Output:


document describing the rapid prototype platform
example service prototype
6