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Internships & thesis suggestions

In this page, we will post suggestions and offerings. Latest posts are on top. Posts will be removed as they become obsolete, thus, announcements appearing on this page are to be regarded as current.

Shrub encroachment detection using satellite based remote sensing

Shrub encroachment, Öland
Shrub encroachment is a problem in many semi-natural areas dependent on grazing. In a previous study, shrub encroachment has been studied on the island of Öland, on adjacent areas with different grazing intensities, using aerial photographs. This method is very time intensive since the shrubs need to be manually digitized as, due to the given differences in qualities and the low availability of aerial photographs, an automatic detection algorithm did not work effectively. Therefore a manual estimation of shrub encroachment is only possible for small areas. In this thesis, shrub encroachment shall be estimated using coarser remotely sensed data sets, starting from drone images to be collected in the thesis via aerial photographs to the satellites Sentinel and MODIS, by relating optical properties at certain times of the year as well as the variability of those properties in relation to shrub cover. The final aim of the study is to produce a shrub encroachment map of the whole Alvar on the island of Öland.

Contact: Veiko Lehsten
Date added: 2018-10-15


19 internships open at the Swedish Environmental Protection Agency


The Swedish Environmental Protection Agency (Naturvårdsverket) is currently offering 19 internship options Read about them here (in Swedish) or download flyer (in Swedish): PDF iconpraktikplatser_vt2019.pdf.

Added: 2018-10-10


Charge separation in ice-ice collisions in the absence of liquid:  simulations of published lab experiments


When: Spring 2019

What: Lightning in storms is caused by electric fields arising from charge separation in re-bounding ice-ice collisions. The project aims at evaluating laboratory observations of charge separation in ice-ice collisions in the absence of liquid. This is a weaker form of charging than that usually studied but may be significant owing to the prevalence of ice-only cloud in storms.

The prospective student will simulate the ice crystal growth and collisions in a specific experiment observing charging that was performed years ago and described in a published paper in 2016. The student will create a simple model to replicate the experiment and then do variational analysis to deduce a formulation for the charge separation that can be applied in cloud models. The student should have an interest in computer modelling and programming (Fortran or C) and should be familiar with a LINUX-based operating system.

Contact: Vaughan Phillips

Added: 2018-10-08


M.Sc. project: Comparing the 2004 and 2007 desert locust outbreaks using satellite remote sensing

M.Sc. project: Comparing the 2004 and 2007 desert locust outbreaks using satellite remote sensing

The desert locust Schistocerca gregaria (Forskål, 1775) outbreaks of 2004 and 2007 have had a large impact in West Africa and the Middle East. Not only had these outbreaks taken a humanitarian toll in terms of food security, they also devastated economies in their wake. For example, the 2004 outbreak caused an estimated US$ 2.5 billion in harvest losses.

Desert locust outbreaks are strongly linked to climate as water from excess rainfall triggers the dormant desert locust eggs that are buried in the soil and creates a favorable setting for the newly hatched locust nymphs. Additionally, the new vegetation that emerges after these rains provides nutrition for the nymphs, which enables them to rapidly undergo their growth cycle and congregate into swarms. 

The purpose of this master’s project is to compare the conditions leading to the 2004 and 2007 desert locust outbreaks and the aftermath in terms of net primary production. This will be accomplished by analyzing the climatic and vegetative conditions before, during and after the two outbreaks using multitemporal remote sensing data (e.g. Landsat, MODIS, CHIRPS).

The ideal candidate should be a self-starter and have strong foundations in remote sensing, GIS and basic statistics (exemplified by passing graduate-level coursework). In order to successfully complete the project, you will (learn to) use GIS software (e.g. ArcGIS/QGIS), programming languages (e.g. R, JavaScript), and quantitative methods (e.g. random forest). 

Contact: Hakim Abdi

Project timeline: January 01 – June 30, 2019.


Master thesis project opportunity: Conflicts and forest fires – a remote sensing approach

We would like to collaborate with a dedicated and skilled master student within our interdisciplinary project on armed conflict and wildfires in the Middle East. The project seeks to understand the environmental dynamics of conflict, focusing largely on forest fires. 
This master thesis opportunity involves developing a method to classify fires using satellite images from e.g. Landsat, MODIS and/or Sentinel products, using for example Object Oriented Image Analysis (OBIA) and Random Forest classifier. We wish that you have a strong interest in remote sensing methods and at least one master level course in satellite remote sensing. Knowledge in different GIS software, such as ArcGIS, QGIS, eCognition, Google Earth Engine and GRASS GIS is a merit, but this is also an opportunity to learn more about these.

The produced data will be used in analysis together with conflict data and qualitative research (e.g. text analysis, interviews, political ethnography) to answer questions about how conflicts affect socio-ecological systems and whether fires are used as a weapon in conflicts. The planned study sites will be located in the Middle East.

This is a great opportunity to be linked up with an ongoing interdisciplinary project, involving researchers from natural science and technology, as well as social science.

Supervisors: Pinar Dinc, Lina Eklund, Petter Pilesjö.

Date added: 2018-09-20


Google Earth Engine mapping of agricultural greenhouses in northern China

The freely available Landsat and Sentinel imageries provide an unprecedented opportunity for global land monitoring at high spatial resolutions (up to 10 m). However, for studies and applications at continental to global scales, handling such huge amount of satellite data are impossible without super computing powers. Google Earth Engine (GEE) is designed to do this job, freely and easily accessible for everyone with a laptop (https://earthengine.google.com), which is a promising way of future Earth science data processing.

One interesting project to use GEE is to map the spatial distribution of agricultural greenhouses in northern China, which are built for growing vegetables and fruits during the winter seasons to fed the large Chinese population. This will be a pioneer project paving the way for many important social-environmental studies.

Welcome to contact me if you are interested to discuss more about it!

Contact: Feng Tian

Date added: 2018-08-28


 

Shrub encroachment detection using satellite based remote sensing

Shrub encroachment is a problem in many semi-natural areas dependent on grazing. In a previous study, shrub encroachment has been studied on the island of Öland, on adjacent areas with different grazing intensities, using aerial photographs. This method is very time intensive since the shrubs need to be manually digitized as, due to the given differences in qualities and the low availability of aerial photographs, an automatic detection algorithm did not work effectively. Therefore a manual estimation of shrub encroachment is only possible for small areas. In this thesis, shrub encroachment shall be estimated using coarser remotely sensed data sets, starting from drone images to be collected in the thesis via aerial photographs to the satellites Sentinel and MODIS, by relating optical properties at certain times of the year as well as the variability of those properties in relation to shrub cover. The final aim of the study is to produce a shrub encroachment map of the whole Alvar on the island of Öland.

Shrub encroachment, Öland

Contact: Veiko Lehsten


Several MSc projects on the impacts of reindeer grazing on tundra landscapes and carbon dynamics

Reindeer are known to control the composition of vegetation across tundra landscapes and even shift the vegetation type to another state. These changes have cascading effects on ecosystem Reindeer grazingfunctioning and the carbon cycle – but to most parts, the mechanisms behind have not yet been verified in the nature. In this project, we focus on one reindeer-induced vegetation change - suppressed abundance of deciduous shrubs - and aim to assess how this shift in vegetation feedbacks on ecosystem processes. 
In the next summer, we A) will quantify the functional traits of the vegetation under contrasting grazing pressures, and use literature to project the impacts of the trait shift on ecosystem processes. We will also B) look at plant biomass distribution to different soil depths, and see whether this explains different nutrient dynamics and C concentrations in soil layers. Additionally, we C) will monitor how reindeer grazing is reflected on the mycorrhizal community composition and the key mycorrhizal-driven soil processes that have been suggested to control soil carbon decomposition rates. Lastly, we D) will assess how reindeer grazing has affected the sensitivity of soil carbon release to altered temperature or altered moisture conditions with a thorough lab experiment. 
All these questions are possible to be shaped into timely Masters Projects from the field of Ecosystem Science. 

We preferably look for Masters Students who would be interested to take part in the data collection already this summer (takes place in July, see separate announcement). Yet, there are parts that can be conducted from Lund exclusively. In all cases, the projects will include laboratory work that should be conducted during the study year 2018-2019. It will also be possible to finish the thesis within the next study year. We hope to hear from the interest during May 2018. 
If you became interested, I’d be happy elaborate more about the specific hypotheses of the individual projects – and there is scope to discuss the framing of project.

Contact: Henni Ylänne, CEC, henni [dot] ylanne [at] cec [dot] lu [dot] se


Time series analysis of Earth Observation data on Google Earth Engine

Earth Observation satellites (e.g. Landsat, Terra/Aqua MODIS, and Sentinel) have provided a multi-petabyte catalog of satellite imagery and geospatial datasets. To analyze such big data to detect changes and map trends on the Earth’s surface, suitable time series analysis methods and processing platforms are needed. The purpose of this project is therefore to implement two recently developed time series algorithms (DBEST and PolyTrend) on the most advanced cloud-based geospatial processing platform (Google Earth Engine). This will make it possible for scientists, researchers, and developers to rapidly and accurately process vast amounts of satellite imagery and identify changes on the Earth’s surface.

The ideal candidate is a (geomatics) student who has passed advanced remote sensing and GIS courses, and has experience in data processing and programming (R, Matlab, Python, JavaScript).

Feel free to contact me if you are interested: Sadegh Jamali, sadegh [dot] jamali [at] tft [dot] lth [dot] se


M. Sc. Project: Spatial variation in dissolved organic carbon (DOC) of arctic tundra soils.


When: as soon as possible

Arctic tundra soils harbour one of the largest terrestrial soil carbon pools in the world. During the past several decades the arctic has undergone significant climate and environmental changes, which in some cases has been linked to increased DOC export from soils to water. Knowing where the DOC comes from is crucial if any reliable predictions are to be made, however soil DOC studies are relatively sparse and not extensive in the arctic. In this project over 100 soils from Kilpisjärvi Finland will be analyzed on potential DOC production, DOC reactivity and its chemical properties. The goal is to identify drivers for the spatial and chemical variation of DOC in arctic soils within e.g. vegetation, soil or physical properties. 

We are looking for a highly motivated master student enthusiastic about doing laboratory work. If extended over summer (2018) there is the possibility to join for fieldwork in Kilpisjärvi, Northern Finland.

Contact: Geert Hensgens
Date added: 2018-03-14


Mapping distribution and density of coconut farm in Indonesia (Bachelor Thesis suggestiion)

Are you looking forward to take part of a project in the other side of the world? 
Then, join our Coco Husk Team and you will not regret it!
We are working to improve the life of local villages in coconut plantations in Riau province in Indonesia. 
In particular, we are trying to say stop burning coco husk and figure out other ways of using this raw material with the help of Design Centrum and Mechanical Engineering here in Lund. 
But now we also need the help of Geographers that are willing to help us in mapping the area where we are planning to introduce our new eco-sustainable system of treating coco husk.
In December, went to Sungai Guntung and Tembilahan and saw local villages in coconut plantations and saw how people harvest coconut and process its derivatives like copra, shell and husk.
Therefore, we need to map the distribution and density of coconut farms in Indonesia.
We also need to investigate how much Indonesia peat land contributes to global warming, and eventually, if you get passionate about it, map the distribution of different types of bio masses that grow in Indonesia starting from coconut plantations :) 

Contact: sara [dot] mazzuoli92 [at] gmail [dot] com


MSc Project: Evaluating LPJ-GUESS net CO2 fluxes against atmospheric CO2 concentration observations


The project aims at evaluating the simulated NEP by LPJ-GUESS against observations of atmospheric CO2 concentration. The prospective student will analyse modelled atm CO2 concentrations based on LPJ-GUESS fluxes with respect to different signals contained in the atmospheric CO2 concentrations such as seasonal cycle, interannual variability and long-term trend. The student will carry out LPJ-GUESS simulations and couple these to pre-computed atmospheric transport matrices. The student needs to have a strong interest in computer modelling and programming (Fortran and C++) and ideally have some experience with a LINUX-based operating system.

Contact: Marko Scholze


MSc Project: Analysing parameter sensitivities in the LPJ-GUESS-WHyMe model with respect to methane fluxes


The project aims at analysing the sensitivity of simulated methane fluxes by LPJ-GUESS-WHyMe with respect to the underlying parameter values. The LPJ-GUESS-WHyMe model includes process descriptions of wetland hydrology, soil freezing and wetland carbon (carbon dioxide (CO2) and methane (CH4)) emissions and many of the parameters governing these process equations are poorly constrained. The prospective student will make use of an efficient parameter sensitivity analysis tool to objectively identify those parameters which have the most significant effect on the modelled methane fluxes. The student will adapt the LPJ-GUESS-WHyMe model to be used with the parameter sensitivity analysis tool, perform the respective LPJ-GUESS-WHyMe simulations and analyse the output in terms of the sensitivity of the methane fluxes with respect to the parameters. The student needs to have a strong interest in computer modelling and programming (Fortran and C++) and ideally have some experience with a LINUX-based operating system.

Contact: Marko Scholze


MSc Project: Including carbon isotopes in the LPJ-GUESS model as a diagnostic tool to evaluate modelled CO2 fluxes


The stable isotope 13C : 12C ratio (13C) of air and terrestrial biomass samples provides information on the carbon cycling in the Earth system. Of particularly interest in using isotopic information is a better understanding of the mechanisms controlling
13C carbon assimilation and water transpiration by the terrestrial biosphere and the global land carbon sink. In addition, simulations of the so-called iso-flux can be used to evaluate models of the terrestrial carbon cycle against such measurements of the isotope ratio. The prospective student will further develop the LPJ-GUESS model to include a description of the isotopic discrimination of carbon uptake by photosynthesis and extend the model to be able to follow the cycling of 13C through the models carbon pools. The work will be based on the existing isotope-enabled LPJ model. he student needs to have a strong interest in computer modelling and programming (Fortran and C++) and ideally have some experience with a LINUX-based operating system.

Contact: Marko Scholze


GIS development in Alvesta municipality

Note! This text has been machine-translated from Filegis_alvesta_2018-01-09.docx

Alvesta municipality with approximately 20,000 inhabitants - southern Sweden's center. Our starting point is local accommodation with global opportunities. There are good living environments close to both the city and the countryside and rich opportunities for active leisure.

The map and GIS operations are located under the Civil Planning Administration and work closely with the units plan, engineering, construction and the environment. We have a municipal license for ArcGIS and Geosecma, which means that we have access to many useful tools in ESRI's service catalog.

The need to make available geodata and simplify the use of the map in the daily work is great. The many internal webGIS we have today are heavy and complex, which means they are good for experts, but not for generalists. We are in the process of initiating the development of a webGIS that will provide a quick viewing service for internal users. In the long run, hopefully the service can also be used externally to the public via our website.

Our needs are to be able to obtain a map service containing several basic maps, such as the municipality's primary map, the topographical map of the survey, etc. and several orthophotos, including the current orthophoto and the historical orthophoto of the land surveyor. On the map services, we need to report property data and be able to link to search and identification of properties against the land survey property information. Furthermore, we need to be able to present municipal data in the form of detailed plans, pipelines etc. We also want to be able to build on more layers of geodata, including government plans and knowledge bases / inventories.

The service needs to be smooth and have a simple and clear interface.

The service can be developed either with scripts (such as https://cmv.io/en.us.) Or with ESRI's products.

For more information, please contact

 

Patrik Karlsson
Planning Director, Alvesta Municipality
patrik [dot] karlsson [at] alvesta [dot] se
0472-15288


Air pollution monitoring with Earth observation satellites

Air pollution is the world’s deadliest environmental problem. It kills seven million people each year, or one in eight deaths globally [1]. Satellite remote sensing of air quality has evolved dramatically over the last decade. Global observations from Envisat satellite, NASA’s Aura and Terra missions, and most recently ESA’s Sentinel-5P satellite mission [2] are now available for a wide range of species including common pollutants in surface air (e.g. aerosols, ozone, nitrogen dioxide, carbon monoxide, and sulphur dioxide) [3]. But these observations are either not available in the form of end-user data products or, if they are, they basically have different properties (e.g. spatial and temporal resolutions, spectral range and resolution) which both make it difficult to choose and generate data series of a specific pollutant for a specific region.

This project aims at developing methods to generate time series of the main air pollutants form EO satellites at a regional scale. Such reliable data series enable estimation of spatio-temporal variability in air pollution concentration and its association with other relevant factors such as land use change, traffic volumes, and health parameters etc., considered as the second aim of the project.

The ideal candidate is a (geomatics) student who has passed advanced remote sensing and GIS courses, and has experience or is interested in data processing and programming.

Contact: Sadegh Jamali (sadegh [dot] jamali [at] tft [dot] lth [dot] se), Ali Mansourian (ali [dot] mansourian [at] nateko [dot] lu [dot] se)


M.Sc. Project: Building and city models

When: Spring 2018

There is an increasing amount of 3D building models (BIM) and 3D city models. There are currently several research and innovation projects of the usage of these models in the digitalization of planning and building processes in the society, concentrating on issues such as automation of building permits, 3D cadaster issues and environmental modeling. The department is involved in several of those projects (many as part of the Smart Built Environment program – see http://www.smartbuilt.se/). We are open for M.SC. projects in several topics concerning the usage of BIM and city models connected to our projects.

Contact: Lars Harrie


Techniques for handling and distributing grid data at ICOS-CP

When: Spring 2018
What: ICOS Carbon Portal (ICOS CP) is a European portal for distribution of data on carbon (and other green house gases) measured by ICOS stations, see https://www.icos-cp.eu/. The portal is hosted by the department of Physical geography and ecosystem science at Lund University. ICOS CP will handle gridded data such as flux model data based on the ICOS data. This master thesis work is concentrating on evaluating methodologies and tools for handling and distributing large amount of gridded data at ICOS CP.   
Requirement: The work is conducted at the LU campus. The student must be either a geomatic student or an LTH student in geographic information technology with knowledge in spatial databases and programming.
Contact: Lars Harrie


Master thesis work

M.Sc. Project: OpenStreetMap
When: Spring 2018
What: In an ongoing project at the department we have created an algorithm that link OpenStreetMap (OSM) to Swedish authority data. This work opens up several possibilities to novel studies of the quality of OSM in Sweden as well as semantic issues of OSM.
Notes: This is a suitable master thesis for a geomatics student. It requires that the student has read the geographical database and the GIS-algorithm courses as well as has experience in programming.
Contact: Ali Mansourian, Lars Harrie


M.Sc. project: Within and between species variation in root traits along a boreal forest chronosequence

Time: Spring 2018 or as agreed

Plant traits provide a useful way to link community ecology and ecosystem biogeochemistry. But, the explosion of research on this topic has overwhelmingly focused on leaves rather than roots, which constrains both ecosystem understanding and global models. This project would help to fill this gap in our knowledge by recording an array of root traits within boreal forest plant communities along a natural gradient in ecosystem development and soil fertility encompassing 30 islands in northern Sweden ranging in age since major wildfire disturbance from ~50 to ~5000 years. The overall outcome will be an improved understanding of patterns in, and regulators of, boreal forest species traits below-ground.

Contact: dbmetcalfe [at] gmail [dot] com (Dan Metcalfe)


17 internships / thesis suggestions at the Swedish Environmental Protection Agency

Read more here (In Swedish, use Google translate if needed)


Internships at the National Knowledge Center for Climate Change

Read more here (Google translated)


 

Internship in research groups abroad (LERU-STREAM)

Are you considering a career in research? If so, you might want to make your internship in a research group. Here you'll find information on how to proceed.


International Renewable Resources Institute (IRRI), Mexico

IRRI is very interested in receiving students for interships or other relevant opportunities for collaboration. See attached PDF for more information about IRRI.


Semantic Structure from Motion

Read more here.


Vegetation productivity trends across global drylands using different satellite sources


This purpose of this project is to quantify and understand the role of dryland ecosystems in the global carbon (C) cycle. Recent work show increasing importance of drylands in the global C cycle [1-3] and regional studies using Earth Observation (EO) report increasing greenness in several dryland areas [4-9]. While the increasing role of drylands in the global C cycle is well-grounded, is the knowledge regarding the related magnitude, spatial, temporal variability and process understanding still uncomplete [10].

This project aim to quantify the temporal and spatial characteristics of C fluxes of drylands and their contribution to the global C cycle using EO data (MODIS time series of PPI, EVI,NDVI based on the BRDF corrected MOD43A4, latest collection, MOD17 GPP and NPP etc.). The EO data will be stratified using biome data sets, the aridity index etc.

Suitable for student with interest in remote sensing, GIS and the global carbon cycle. Programming skill is a benefit

Referenses

1.      Poulter, B., et al., Nature 2014, 509 (7502), 600-603.
2.      Ahlström, A., et al., Science 2015, 348 (6237), 895-899.
3.      Zhu, Z., et al., Nature Clim. Change 2016, advance online publication.
4.      Osborne, C. P.; Woodward, F. I., International Journal of Remote Sensing 2001, 22 (10), 1895-1907.
5.      Herrmann, S. M., et al., Global Environ Chang 2005, 15 (4), 394-404.
6.      Olsson, L., et al., Journal of Arid Environments 2005, 63 (3), 556-566.
7.      Nielsen, T. T.; Adriansen, H. K., Land Degrad Dev 2005, 16 (2), 151-161.
8.      Runnstrom, M. C., Ambio 2000, 29 (8), 468-476.
9.      Fensholt, R., et al., Remote Sensing of Environment 2012, 121, 144-158.
10.    Seddon, A. W. R., et al., Nature 2016, 531 (7593), 229-232.

When: 2018-2019

Contact: Jonas Ardö


Afforestation of southern Sweden pastures, mapping, cause and effect

This work aims to identify and quantify the land use changes in the form of pastures planted with forest.

Background: In areas where profitability to keep animals is marginal, a conversion of pasture land to forest land by planting both leave forests and pine forests. This implies a change in the landscape, affects the production of animal products (meat, milk, cheese, etc.) and affect biodiversity and occasionally other ecosystem services. The reasons for this change is, among others, lower profitability in the livestock sector.

More information:

http://www.slu.se/nils https://jordbruketisiffror.wordpress.com/2013/07/26/4699/
http://sverigesradio.se/sida/artikel.aspx?programid=406&artikel=5854498
http://www.lansstyrelsen.se/Kronoberg/Sv/nyheter/2016/Pages/Ett-samlat-g...

Data: SENTINEL-2, LANDSAT, Aerial photographs (2011) and older aerial photographs. Various GIS data. Meadow and pasture inventory, block data (EU support requests) from the Agriculture Department, complaints to the County Administrative Board (afforestation of pasture to be notified, authorization is not required). The data that will eventually be used depends on how the objective is defined. Knowledge of remote sensing and GIS is required, knowledge in ecology or environmental conservation is relevant. Swedish language proficiency is preferred.

When: 2018-2019

Contact: Jonas Ardö


Master thesis work

Contact: Emma Li Johansson

Background information: Currently there is a wave of foreign investments in land taking part in the economically poor regions of the world. These particular types of land investments affect people who previously used that land as small-scale farmers, who often have no other option than to keep farming in smaller or more marginal areas around the foreign investment.
 
Topic #1: Socio-environemtal effects from land-use change in the context of large-scale land acquisitions
Large-scale land use changes affect the water balance, especially when land cover is changed to water intensive crop production. Land-use change affects the quantity, quality and accessibility of water for people and ecosystems in those areas. Either directly through irrigation, or by planting non-native crop species that dry out the soils. Accessibility to water is also affected by fragmenting the landscape and making traditional water sources inaccessible or unusable to local communities. I have both quantitative and qualitative data (or knowledge about where to look for data) from large-scale land acquisitions in Sierra Leone and Tanzania that could form one or several smaller studies:

  • Impacts of teak plantations on the hydrological cycle  (Literature review). Teak trees have effects on water quantity in the way that their roots absorb water and and dries out the soils. They also loose their leaves in the dry season, which dries out soils even more (compared to natural forest). This affects water systems, which in turn affects local livelihoods of fishing and farming. There is a company called KVTC in Kilombero Valley, Tanzania, who are planting 8000 ha of teak where there previously was natural forest . Here you can look at the teak trees' effects on water systems, and how that in turn affects ecosystems and people. 
  • Similar project can be developed with case studies in other parts of Tanzania (rice production,sugarcane production) and Sierra Leone (sugarcane production).


Topic #2 Analyzing past and present land-use in Africa by using Google Earth (in the context of land grabbing)
Research about the scale of land grabbing needs to be improved by analyzing how much land is actually in production. In Africa about 22 million ha has been contracted to foreign investors, but only 3% is currently in production. There is data available online from multiple sources about the current state of land deals, but they are constantly changing as companies often leave their operations or sell to other agricultural businesses. It would be interesting to explore what the previous land use was in areas of land grabbing (e.g. Small-scale farming, forest, grazing land, or marginal land) in order to get a better idea about the potential ecological and societal effects of such investments. 

 


Master thesis work

Topic: Readability of dynamic maps

When: From January 2019. 
What: Most readability studies for maps has concentrated on static maps (on paper and screen), while the actual use of maps is more dynamic today. To design future map services we need better knowledge about how user perceives dynamic maps. This project aims at both studying the theoretical background to reading dynamic maps (based on theories of reading static maps and theories of reading dynamic graphics and animations) and practical studies using eye-tracking (in cooperation with the humanity lab at LU).
Requirement: The work is conducted at the LU campus. The student must be either a geomatic student or an LTH student in geographic information technology.

Contact: Lars Harrie


Master thesis work

Topic: Integration of building information models and geodata
When: Fall 2018 / spring 2019. 
What: Digitalization is currently one of the main drivers of improving the process in the built environment sector, i.e., planning, creating and maintaining buildings and infrastructure. A main problem here is the integration of building information models (BIM) and geodata/GIS. The aim of this project is to develop methods to import a BIM-model into a GIS environment. This implies work with simplifying the model and transforming it to a geometric representation used in GIS. If time permits the project will also include quality issues in the integration process. 
Requirement: The work is conducted at the LU campus. The student must be either a geomatic student or an LTH student in geographic information technology.

Contact: Lars Harrie

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