Topics for master thesis

• Global land use changes in relation to population density changes

The aim is to analyse whether and how much the land use changes are driven by increase of the population in different regions. The topic is suitable for MSc topic.

• Forest monitoring using remote sensing and chronosequences

         Co-supervisor Kadri Runnel from the Botany Department

The aim is to develop remote sensing based method for forest growth monitoring. The work will have a practical value for the companies working in voluntary carbon credit market (e.g. SingleEarth, Arbonics) to monitor afforestation. The topic is suitable for the master students specialized in geoinformatics. The topic requires programming skills and knowledge in remote sensing (LTOM.02.041 Geospatial Analysis with Python and R, LTTO.00.027 Data Science in Remote Sensing).

• Remote sensing forest clear cut detection

The aim is to develop quick clear cut detection based on SAR and optical remote sensing data in Estonia. The topic is suitable for the master students specialized in geoinformatics. The topic requires programming skills and knowledge in remote sensing (LTOM.02.041 Geospatial Analysis with Python and R, LTTO.00.027 Data Science in Remote Sensing).

• Suitability modelling for placing new landscape elements

The aim is to identify suitable areas for placing landscape elements (e.g. tree lines, riparian buffer strips) to the landscape using remote sensing data and spatial analysis.  The topic is suitable for the master students specialized in geoinformatics. The topic requires programming skills and knowledge in remote sensing (LTOM.02.041 Geospatial Analysis with Python and R, LTTO.00.027 Data Science in Remote Sensing).

• Innovating landscape metrics on hexagonal grids

Landscape metrics are a powerful tool in discovering patterns, changes, and trends in urban and rural landscapes. Landscape metrics is a well-developed field, but hasn’t seen much progress lately. The aim is to develop and test an implementation on hexagonal grids, where all 6 neighbours are equal, and compare that with well-established landscape metrics calculations that use classic raster 4 and 8 neighbourhoods. The topic is suitable for master students specialized in geoinformatics. The topic requires Python/R scripting skills (LTOM.02.041 Geospatial Analysis with Python and R).  Co-supervisor Evelyn Uuemaa

• Developing remote sensing-based indicators for soil organic carbon ML modeling

Large progress has been made over the last years to develop large-scale machine-learning approaches to model and predict soil organic carbon. Most well described models focus on topographic variables and only include very few remote-sensing derived covariates. The aim of this thesis is to explore a wide variety of indicators from spectral and SAR satellite remote sensing data sources as of potential covariates for soil organic carbon ML modeling.

The topic is suitable for master students specialized in geoinformatics. The topic requires Python/R scripting/programming skills and reasonable foundation in Remote Sensing (LTOM.02.041 Geospatial Analysis with Python and R, and LTTO.00.027 Data Science in Remote Sensing). Co-supervisor Evelyn Uuemaa

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• Towards analysis ready data cube for machine learning under FAIR open science

Data Cubes are an idealized concept of preprocessed, same resolution, aligned, and stacked raster datasets to support fast large-scale analyses based on map algebra. The topic of this thesis is to reproduce an analysis and reporting workflow under the framework of open science and FAIR (Findable, Accessible, Interoperable, Reproducible) principles. The thesis, while technical, also requires developing a strong theoretical overview and assessment of the FAIR principles, cloud native geospatial data and processing technologies, the data cube concept, and data and metadata versioning.

The topic is suitable for master students specialized in geoinformatics. The topic requires Python scripting skills (LTOM.02.041 Geospatial Analysis with Python and R), and the candidate is expected to have a wider understanding of the modern geospatial ecosystem (LTOM.02.043 Spatial Data Infrastructures / LTOM.02.067 Spatial Data on the Web). Co-supervisors Evelyn Uuemaa, Marta Jemeljanova

• A data observatory to explore multi-scale geographical relationships

The aim of this thesis topic is to apply spatial statistics and machine learning to a multi-resolution data cube, into which you will load various environmental, human-centric, and social-economic indicators. Overall, this effort is contributing to developing a Data Observatory for the European Data Spaces and Destination Earth mission. The focus will be on exploring relationships between variables of same and different resolution across local, regional, national and international scales. The hypothesis is that at larger scales some relationships will be different than at very local scales, while others stay stable, but don’t always know which and why. To navigate the modifiable areal unit problem (MAUP) you will also systematically evaluate different gridding strategies for the data. Results of the thesis will help to inform dataset and resolution choices for various spatial analysis tasks.

The topic is suitable for master students specialized in geoinformatics. The topic requires Python and SQL scripting and data management skills (LTOM.02.041 Geospatial Analysis with Python and R, and LTOM.02.040 Spatial Databases).  Co-supervisor Evelyn Uuemaa

• Advancing web cartography

Base maps are widely used in spatial data visualisation. However, the existing base maps for Estonia based on the Estonian Topographic Database have limited styling options and are only available in WMS. Alternatives in web map and mobile friendly tile-based (OSM XYZ / TMS)  or Vector Tiles (MVT) format are only available from providers of Open Street Map data or commercial (Google, ESRI, o.a). The aim of this thesis is to improve on current efforts (see images) in web cartography at the Chair of Geoinformatics and Cartography of base maps styling based purely on Estonian authoritative data (Landboard).  The task is to develop, improve, and describe styling methods for base maps in Geoserver, Mapnik, and MapBox VectorTiles for comparison. Special challenges include adequate labeling, label positioning and symbology.

This thesis is mostly focused on map design but also requires some engagement with web mapping technologies and the underlying spatial database, therefore the topic is only suitable for master students specialized in geoinformatics. Understanding of web mapping technologies is required (LTOM.02.043 Spatial Data Infrastructures / LTOM.02.067 Spatial Data on the Web). Familiarity with Postgresql/Postgis (LTOM.02.040 Spatial Databases) and Estonian geography in general would be highly desirable. Co-supervisor Raivo Aunap

• What really are Story Maps?

​​​​​​​The thesis will explore on a methodological and epistemological level what are “story maps” and what story maps aim to achieve. One challenge is to uncover how story maps make knowledge about geographical events more accessible. The topic is two-fold: a) requires developing several case studies on historical events, based on Estonian geo-referenced photo archives; b) various GIS methods and technologies are employed to draft a customized story mapping framework that aligns with the developed theoretical background, and does not rely on available proprietary or other pre-made software packages. The topic is suitable for master students specialized in geoinformatics or Estonian Human Geography. Familiarity with Estonian language, geography and history in general is required. Background in at least one of a) web mapping technologies (LTOM.02.043 Spatial Data Infrastructures / LTOM.02.067 Spatial Data on the Web) or b) Python scripting skills (LTOM.02.041 Geospatial Analysis with Python and R) would be highly desirable. Co-supervisor Taavi Pae

• Dynamics of heat urban islands in Tallinn
  
  Co-supervisor Dr. Mait Sepp, Senior Researcher in Physical Geography

Tallinn is a dynamic Estonian capital city whose outskirts are growing fast despite the economy drifting. With new developments, the Heat Urban Island (UHI) grows yearly. It is vital to communicate to the city planners the real effects of new developments: the location of hot spots, their shape and magnitude, their connection to different types of land use and available green space.
Fluent knowledge of geospatial analysis (vector and raster) is required; skills with remote sensing data are an asset. Possibility to candidate to Tallinn City scholarship.

• Learning Estonian crops’ phenological phases with remote sensing vegetation indexes.

          Co-supervisors Ain Kull and Jaak Jaagus

A thorough knowledge of crops’ phenological phases is essential for the early detection of anomalies in plant development through the vegetation season. Also, due to climate change, local average phenology may drift from one decade to another. Remotely sensed vegetation indexes, such as NDVI, and their time series allow smooth phenological profiles to be created and phenologies and anomalies to be detected for different crops.

Fluent knowledge of geospatial analysis (vector and raster) is required; skills with remote sensing data are an asset.

• Residential segregation Tallinn

The aim is to analyze changes in residential distribution in the Tallinn city region by key population characteristics (income, ethnicity) since 1989 in longitudinal view. It is important to learn to use different segregation indices and methods for analyzing longitudinal data (e.g., event history analysis). The work is done within the framework of the chair’s research and under co-supervision.

• New immigrants in Estonia

The aim is to analyze new immigration to Estonia as a result of migration, number, origins and distribution in Estonia. It is important to learn how to use segregation indices and methods for analyzing longitudinal data (e.g., event history analysis). The work is done within the framework of the chair’s research and under co-supervision.

• School segregation in Estonia / Tallinn

The aim is to analyze changes in school segregation in the Tallinn city region since 1989 in a longitudinal view. It is important to learn to use different segregation indices and methods for analyzing longitudinal data (e.g., event history analysis). The work is done within the framework of the chair’s research and under co-supervision.

• Relationship between segregation and mobility

The aim is to analyze the residence and mobility of different population groups (gender, age, occupation, nationality) in the Tallinn city region. Learning how to use survey data and mobile positioning data as well as GIS skills are important. The work is done within the framework of the chair’s research and under co-supervision.

• New technologies for urban analysis

The aim is to familiarize yourself with the use of new technologies (drones, face recognition techniques), etc. in urban studies, with a focus on research on mobility and segregation. Curiosity and the desire to extend urban exploration to previously unknown territories are important. The work is done within the framework of the chair’s research and under co-supervision.

• Creating a 3D city model

The goal is to create a 3D city model for Tallinn and to equip houses with existing data, including Google's open data on dwellings, workplaces, schools and other important locations. Curiosity and the desire to extend urban exploration to previously unknown territories are important. The work is done within the framework of the department's research and under co-supervision.

• Estonian diaspora in the world

The aim is to explain the change in the number of Estonians in the world and the Estonians living in Finland in depth. Entrepreneurship in finding data in foreign communities and working with survey data is important. The work is done within the framework of the chair’s research and under co-supervision.

• Social media representations of urban neighbourhoods (e.g. based on locations and hashtags on Instagram) – comparing the images of neighbourhoods.

• Connecting social network to mobility - comparison of the spatial pattern of mobility and the location of call partners based on passive mobile positioning dataset.

• Demographic, social and ethnic dynamics in urban neighbourhoods. The role of spatial and social mobility. Ethnic differences in social and spatial mobility
• The impact of new residential construction on ethnic and social dynamics in urban neighbourhoods (the case of Tallinn urban region)
• Foreign migration trends. Residential, social and labor market integration of new migrants in Estonia
• Differences in activity spaces based on place of residence (differences by ethnicities) (applying mobile phone data)

• Social and ethnic differences in human mobility.

The objective is to find out what are the differences in the use of space and mobility of different social groups in Tallinn, and what factors influence it. Analysis is based on GPS accuracy MobilityLog app tracking data and questionnaire data from Tallinn.

• Social and ethnic differences in exposure to city functions.

An analysis of how urban functions (shops, services, etc.) are accessible to different social and ethnic groups throughout their activity space. Analysis is based on GPS accuracy MobilityLog app tracking data and questionnaire data from Tallinn.

• Modality styles and factors affecting these.

The objective is to find out madality styles and which social, place of residence, and urban space factors influence the people's travel modes usage (walking, cycling, public transport, car). Analysis is based on GPS accuracy MobilityLog app tracking data and questionnaire data from Tallinn.

• Spatio-temporal patterns of visiting second homes and other regular places.

         Co-supervisor Ago Tominga

The objective of this study is to find out the distribution of second homes, temporal patterns of visiting them and indicators that influence it. Visiting patterns to second homes are an important source of information in regional planning. Second home is also an important factor in coping with disaster situations because second home offers an extra possibility to go when people are forced to evacuate from their first homes. The thesis develops a methodological framework to find second home visits based on mobile positioning data. Analysis is based on GPS accuracy MobilityLog app tracking data and questionnaire data.

• Regularity of mobility patterns of people.

         Co-supervisor Ago Tominga

The objective of this study is to find out factors that influence the regularity of people’s mobility patterns. Indicators that describe people’s activity places and movement between them can be used to calculate regularity indicators of spatial mobility. Regularities with which activity space varies on different temporal scales (week, month, season) is an emerging theme in mobility research. The influence of social and personality indicators is estimated to the regularity measures. Analysis is based on GPS accuracy MobilityLog app tracking data and questionnaire data.

• Ethnic differences in mobility, domains of inter-ethnic contacts, neighbourhood change, ethnic identity and integration - analysis based on census, register and survey data.

• Gentrification

Gentrification is a process when younger and more affluent groups of society move into an area that was previously inhabited by people with lower incomes. As a result, the local real estate market revives, apartments are renovated, and often new community and leisure hotspots are created. The theory of gentrification points out how these developments can cause the revitalization of an area as well as the displacement of the long-term population, for example due to rapidly rising rents or the price of services. The aim of the thesis is to study residential and/or commercial aspects of gentrification process in post-industrial neighbourhoods and displacement pressure caused by revitalisation and gentrification.

• Effects of the digital innovation on creative and cultural industries

Creative activity has classically been seen as linked to a certain place: creative innovation has been seen to emerge in certain places (creative incubators, start-up clusters, etc.). You can also find creative campuses, incubators, co-working spaces in Estonia and elsewhere that benefit largely from geographical proximity. At the same time, the rapid development of technology has also changed the functioning of the creative and cultural industries. Many creative companies manage work and creative processes digitally and sell their goods and services online. The classically place-based creative economy is therefore at a very interesting crossroads: on the one hand, physical meeting places continue to be important, while the digital world is slowly taking over other activities. In Estonia, the effects of digitalization on creative entrepreneurship have not been studied at the master's thesis level. The goal is, for example, to investigate what are the effects of digitalization on creative business, what are the challenges and opportunities of digitalization, where are modern creative companies located? Suitable methods: interview, survey, spatial data analysis.

• Socio-spatial accessibility of the bike sharing system in Tartu

Wide spatial coverage of Tartu bike sharing system is one of the factors behind its intensive use. How accessible is this sustainable transport mode for different socio-spatial population groups in Tartu urban region? Can potential accessibility inform us about the real user groups of the system and vice versa? The research will be based on bike sharing user data from Tartu and Estonian population registry. There is a possibility to compare bike share accessibility to different socio-spatial population groups with data from Chicago.

• The quality of travel environment for pedestrians and cyclists

The environmental conditions of travel environment affect the health and wellbeing of pedestrians and cyclists. However, healthy and pleasant travel environment is not equally accessible for all. What are the differences in accessibility of healthy travel environments for different socio-spatial population groups? Which environmental conditions are the travellers actually exposed to? Do the environmental conditions affect route choice during travel? Which are the co-effects of various environmental conditions such as noise and vegetation? The research can be based on noise measurements with portable sensors, secondary environmental data sets (NDVI, noise and air pollution modelling), bike share data from Tartu, data from the smartphone experimentation in Tallinn on activity space segregation, or population registry data, depending on the interests of the student. Linking mobility data with environmental data will be part of the work.

• The comparison of activity space metrics in environmental exposure research (co-supervisor Dr. Anto Aasa) 

In our daily activity space, we encounter both healthy and adverse environmental conditions, such as greenery, air pollution, or noise. The aim of the study is to compare and evaluate GPS-based activity space metrics for environmental exposure assessment and inform future activity space studies about suitable measures. It is possible to advance the research towards comparative environmental exposure assessment of the residents in different Tallinn neighbourhoods. The analysis will be based on data from the MobilityLog smartphone application.

• The accessibility and use of urban green spaces 

Contacts with nature bring several health, social, and cultural benefits. In the context of continuous urbanisation, urban green spaces will become the main substitute for nature for urban residents. What are the associations between the accessibility, quality and real use of urban green spaces? The study will be based on the GPS-data from the MobilityLog application, vegetation index and land use data either from Tallinn or Tartu.

• The impact of novel mobility solutions on mobility behaviour 

Sustainable mobility behaviour is one of the key goals when aiming for climate-neutral cities. How do contemporary mobility options and services, such as shared bikes, mobility hubs, and mobility-as-a-service solutions, help induce the change in modal split toward more sustainable modes of travel? How accessible are those solutions for the population? The study may take a spatial analysis approach to prioritise service areas, quantitative analysis to compare the use of e-bikes with regular bikes, or a qualitative approach to inquire people about their travel practices and willingness to change – it will be decided together with the student.

• Thermal comfort of cyclist in Tartu (co-supervisor Isaac Buo)

In the context of climate change and heat waves, the consequent urban overheating affects the health and well-being of urban residents. The extent – strength, duration, and frequency – of personal exposure to heat discomfort in outdoor environments can now be studied due to the improved availability of spatiotemporally explicit data on the environmental conditions and human mobility. The aim of this thesis topic is to develop a methodology for understanding the spatiotemporal heat discomfort patterns in urban street network and among active travellers. The empiric part will involve work with Tartu bike share data. The exposure analysis will use the mean radiant temperature (MRT), which is the total heat load to which a human body is exposed.

• Spatial planning systems of other countries

How does spatial planning work in other countries (possibly a comparison of countries or in-depth analysis of one specific country; also comparison with Estonia). What plans are being drawn up and why? What are the requirements for a planner? What could be suitable for Estonia from another country's system?  "Planning families" of European countries.

• Spatial planning of objects with significant spatial impact (NIMBY objects)

How to build an effective planning process for an object that no one wants to see in their backyard? What are the successful and unsuccessful examples of large-scale planning in Finland and elsewhere? What are Estonia's opportunities and practice in compensating for the accompanying disturbances? What does planning a large building require from a planner, what from the community? The examples of Rail Baltic high-speed railway connection, wind farms and factories can be used.

• Spatial planning of green infrastructure

Changes in green infrastructure planning approaches, and specific plans for certain towns or rural municipalities.

• Local planning in municipalities

Master/comprehensive planning process in a town or rural municipality, the pros and cons of land-use planning, in-depth analysis of one certain comprehensive plan, comparison of comprehensive plans from different coutries.

• The role of the spatial planner

The changing role of the planner. Comparison of planner’s role in different countries or planning situations. What are the skills and knowledge required, and what are the perceptions over time? How is the training of the planner organized? What skills are lacking by planning practitioners?

• Trends in drought frequency and geography in Estonia
• Diurnal weather cycles in Estonia
• Dynamics and geography of winter severity in Estonia
• Heat waves in Estonia

• Dissolved Organic Carbon (DOC) export and dynamics from managed peatland forests: the effect on inland water quality

Terrestrial and aquatic systems are interlinked; the nutrients and organic matter are transported in drainage water from land to lakes via streams and rivers. The changes in water quality also have drastic effects on aquatic biogeochemistry and ecosystem functioning. A large part of forests in Nordic countries are located on peatlands and since the demand for bioenergy is expanding rapidly, then there is a need for analysis of the environmental effects of peatland forest management practices on DOC and nutrient export from the soil. The aim of this thesis is to collect  DOC data from forested peatland catchments and to analyse the effect of different forest management practices on the amount of DOC that is released to stream water.

• Effect of peatlands restoration to organic matter decomposition

• Length of growth period of pine and spruce according to dendrometers -

The dendrometers measure tree-trunk circumference every half an hour. Trunk circumference fluctuates diurnally. In the summer, a tree trunk grows thicker. The objective is to analyse the diurnal and annual patterns of tree growth.

• Ecosystem respiration in a hemiboreal pine forest in relationship with weather patterns - The thesis will be based on chamber measurements to be collected next year.
• Winter CO₂ fluxes in a hemiboreal pine forest - The material is the weather and CO2-concentration measurements collected in the Soontaga eddy tower.
• Literature analysis of the share of winter in the annual CO₂ balance
• Net ecosystem exchange of a hemiboreal pine forest - The material is the weather and CO₂-concentration measurements collected in the Soontaga eddy tower.

• Soil moisture and/or temperature derived from remote sensing in a freely chosen peatland of the world
• Vegetation and plant biodiversity in connection with climate, water regime and soil of a freely chosen peatland of the world
• Vegetation and plant biodiversity of a freely chosen peatland of the world derived from remote sensing
• Ecosystem services of the world’s mires and drained peatlands (e.g. clean freshwater, livable climate, food, biodiversity)
• Greenhouse-gas emissions of the world’s organic soils - The thesis will be based on the set of carbon dioxide (CO₂), methane (CH₄) and nitrous-oxide (N₂O) emissions, soil temperature, soil water content, soil chemistry, and plant traits collected from 70 sites all over the world’s organic soils by the University of Tartu geographers during 2011–2018.
• Impact of soil water and oxygen content on N₂O emissions - The thesis will be based on N₂O-emission and soil measurements from organic-soil sites in the vicinity of Tartu.
• Moisture content of the world’s organic soils - The objective of the thesis will be to predict moisture content of the world’s organic soils based on satellite data (e.g. Landsat). The predictions will be validated with the ground truth from the Department of Geography’s foreign expeditions.
• Nitrogen, phosphorus and organic-carbon runoff from catchments of the Baltic Sea - The thesis will be based on national stream monitoring data. It is possible to collect run additional measurements on a stream of the student’s choice.

• Meta-analysis of the effectiveness of environmental technological methods  

The work includes work with scientific literature and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Microbial carbon and/or nitrogen cycle in different environments (forests, wetlands, artificial wetlands, farmland, etc.) and restored areas The work may include field work, laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• The relationship of microbial processes and microbial communities to greenhouse gases in different environments (forests, wetlands, artificial wetlands, farmland, etc.) and restored areas  

The work may include field work, laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Bioelectrochemical systems for water purification  

The work may include field work, laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Microbiological and isotope analysis methods to study biogeochemical cycles in the laboratory or in different environments (forests, wetlands, etc.) 

The work may include field work, laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Development, implementation and improvement of sustainable methods in different environments through the study of the microbial community  

The work may include laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Development of microbiological methods  

The work may include field work, laboratory work and data analysis. Please get in touch with me for further details. 

Supervisor Mikk Espenberg, mikk.espenberg@ut.ee, homepage

• Creating a list of recommendations for designing conctructed wetlands to reduce agricultural diffuse pollution

Vända constructed wetland was built in 2015 to reduce agricultural diffuse pollution originating from nearby fields. The general aim of this topic is to analyze collected data (water chemistry, soil chemistry, greenhouse gas emissions, plan biomass) and based on that create a conceptual model for design consideration. 

• Impact of biomass harvesting to the greenhouse gas emissions

Occasional biomass harvesting from constructed wetlands is essential for maximal nutrient removal. On the other hand the timing for harvesting is important to reduce greenhouse gas emissions but also to maximize nutrient removal which are already accumulated to the plant biomass. The aim of this topic is to find the optimal period to remove biomass with maximum nutrient concentration and lowest GHG emissions.

• Spatio-temporal dynamics of Land Surface Temperature (LST) and night frosts in Estonia

         Co-Supervisor Dr. Valentina Sagris

Good knowledge of geospatial analysis (vector and raster) and natural geography is required.

• Detecting the vegetation dynamics of managed residual bogs using remote sensing

         Co-Supervisor Dr. Valentina Sagris

Knowledge of spatial analysis (vector and raster data) and natural geography is required; Skills with remote sensing data are an asset.