The overall goal of this MSc thesis is to develop a scalable machine learning solution for mapping land cover classes in Africa. For this purpose, we will use the LandCoverNet training samples shared on the Radiant Earth Foundation ML...
• To analyse how NBS, as policy and spatial planning measures, help to mitigate climate change impacts in urban areas with a special attention on blue and green infrastructure. • To analyse how NBS, as policy and spatial planning...
To review key concepts, themes and ideas in fit-for-purpose land administration researches
Literature review on 2D outlining of buildings, and delineating techniques using deep learning. Implement suitable deep learning network, generate training data and 2D outlines on dense point clouds of buildings. Analyze 2D outlines,...
• Research the available Earth Observation and open data that would allow building a 3D model • Investigate 3D factors that should affect the physical and socio-economic dynamics in slum areas • Propose a framework for analysing...
The specific analysis and data collection methodologies used in this project will depend on the concrete questions that are being addressed by the thesis. A select but diverse set of mapping approaches must be chosen based on...
In this Msc project, you will analyze terrestrial water storage changes from the Gravity Recovery and Climate Experiment and its follow-on mission. You will create visualizations of these data and compute time series and monthly...
The aim of the research is to carry out a series of validation studies for landslide susceptibility and hazard maps that have been published some time ago, using landslide inventories of events that occurred after the publishing of the...
The MSc student will need to make use of available literature to develop an appropriate methodology that incorporates one or more travel behavioral aspects in an accessibility measure.
To design and implement an interactive (3d?) map environment to show airline networks.
Machine/deep learning approaches for sensor fusion, object detection, object classification, and object localization methods applied on RGB images and 3D point clouds. Reporting to both the university (MSc research) and the company...
The main objective of this research is apply time series analysis techniques (e.g. moving average, ARIMA models, machine learning) to Sentinel-1 SAR for the analysis of the 2018, 2019 and 2020 droughts.
The research is placed in the context of extreme rainfall characteristics (pattern, spatial and temporal distribution). The following main research questions could be considered: - What is the role of basin characteristics in driving...
To design and and implement an approach that allow the use of annotation to explain how atlas maps can be read.
The statistical method to use area frames to gather household and field statistics is well developed, and the supporting formulae and logic is well described. Unfortunately, in general, the user-community chose to adopt administrative...
To gain both spectral and spatial advantage, this study develops a framework of area-to-point geographically weighted regression kriging to downscale MODIS images. The methodology combines deterministic and stochastic modelling. The...
This study aims to explore to what extend UAV with thermal camera and multispectral camera can contribute to detection of early stages of bark beetle infestation Methodology: you will participate in collection of UAV data in the study...
The key objective of the project in Bulgaria with which this topic is associated, is to translate the output of scenarios of future forest management and climate change into decision support information to improve habitat suitability for...
The objectives listed are not the final scientific objectives, but reveal a possible working direction. - To obtain relevant temporal and spectral information from Sentinel-2 data; - To build a database of field level yields through...
In this topic, you will investigate the potential of solar ponds as an alternative environmentally friendly source of energy. Solar pond power plants are low-tech installations that only require salt, freshwater, sunshine and land. All...
The objective of the study is to test methods to map and quantify on-farm mangrove cover in shrimp farming areas in the Mekong Delta in Vietnam
Examine the effect of features of automated concept mapping (node-link) visualization algorithms on users’ conceptual learning: reading and comprehension of concept mapping. For the study, the student will be encouraged to use learning...
For this MSc research topic, the student will resort to deep learning methods based on convolutional neural networks to investigate agricultural fields' delineation [1], [2]. These methods allow us to effectively learn the...
In this research the following objectives could be considered: - Quantifying future stages of landscape restoration as envisaged by Commonlands (vegetation increase and all processes influenced by this). - Designing a number of impact...
To analyze the links between (1) COVID-19 and WASH; (2) WASH and natural disasters/vulnerability to disasters/disaster risk reduction; and (3) Natural disasters/vulnerability to disasters/disaster risk reduction and COVID-19. To evaluate...
Review the literature. Examine spatial and temporal trends of covid19. Characterize these trends and assess the short-term and long term affects for different regions. To do so will require the integration of different geographies and...
To find out if nonlinear regression models such as support vector machines, random forest, artificial neural networks, gaussian processes can properly capture complex spatial processes by analyzing the spatial autocorrelation of the...
A rapidly developing urbanized centre can be selected in one of the developing or less developed countries. Examples could be the Kigali city in Rwanda, Maputo in Mozambique, Guangzhou in China or Delhi in India. The research students...
To understand individuals’ changing COVID-19-related risk perceptions across space and time. To identify major determinants for changes in risk perceptions and hygiene behaviours. To assess the implications of risk perceptions on...
Depending on the students interests and skills the follow research activities can be selected. Students are invited to propose an related own topic: 1) Citizen-based monitoring and learning: a) Analyse data of our citizen-based...
The objective of this topic is explore the challenges of providing ICT based solutions to support the implementation of community land registries - that is, registers of land tenure relations used, managed, and possibly maintained...
The thesis will contribute to, and build on the preliminary results from the HABITABLE project, which collects, analyzes, and compares perceptions of climate change among migrating populations in Ghana, Mali, Ethiopia, South Africa and...
To analyze the WASH and (ill)health situation in (1) ancient and (2) modern Rome. To compare the ancient and modern scenarios against each other, considering population growth and density, settlement structure, and other factors. To...
The objective of research topic is to investigate the difference between prediction accuracy of the impact of thermal infrared data using UAV platform on the retrieval accuracy of leaf area index (LAI) and further compare with satellite...
To develop a design approach for creating modern standards-based geospatial APIs
In this study, we propose to use multi-temporal Sentinel-2 data as well as its associated vegetation indices and greenness metrics, in combination with digital terrain data (e.g., elevation, slope and aspect) to mapping seven coniferous...
Aim of the proposed topic is to assess the usefulness of drones in collecting effectively and efficiently qualitative and quantitative data required for the assessment of the conservation status of critical plant communities. It is...
The proposed research topic aims to compare different methods for animal detection using RGB and thermal cameras on UAV. Depending on the intended focus one of the following applications can be investigated: the alpine zone of the White...
In this research the following major questions should be addressed: - Which sensor combinations are most useful in the different contexts of DM (earthquake, landslides, floods and storms, wild fires etc.)? - How can the different...
In this research the following major questions should be addressed: - How can explicit classification certainty of individual objects or pixels be used as additional information in forecast modelling, e.g. to trigger alternative...
This project will combine techniques from engineering and manufacturing with geospatial analysis of digital elevation models (DEMs); the goal is to explore whether the concepts of lay, roughness, and waviness from the analysis of surface...
The objective of this MSc research is to develop a set of physical and population vulnerability curves for a variety of hazard types, intensity types and elements-at-risk types, in a a web-based open environment. The research will start...
You will analyze the photos of the camera-trap for animals close to the seismic station and use that to select windows from the continuously measured seismic records for further analysis. You will do spectral analysis of the seismic...
To demonstrate the usefulness of validating models by their spatio-temporal patterns (and not only by using classical statistical metrics such as the root mean square error)
The objective of this study is to develop and apply a data driven model to explore the relation between seasonal weather patterns and COVID infections. The method includes the following steps: (1) Describe relations between weather...
Explore the potential of formal declarative grammars such as VegaLite for the construction of automated cartographic visualisation pipelines
The student will initially revise the literature on deep generative networks, on image synthesis, and on deep learning based image fusion. The main focus will be on methods that are able to compose an efficient end-to-end trained system....
The student will initially revise the literature on biomass estimation and on multimodal deep learning models. The main focus will be on developing an end-to-end trainable multimodal/multi-path deep neural network composed of multiple...
The overall goal of this research is to develop deep learning based methods to compose a multimodal classifier for detecting changes on Land Use and Land Cover, especially those changes caused by the suppression of the vegetation...
The student will initially revise the existing literature on image matching algorithms using CNN as backbone. The use of already existing code and available datasets to train these algorithms will be the starting point of the work. As...
Deep Neural Networks (DNN) is considered as a panacea for different problems in several application areas. But what about spatial modeling? In this MSc topic, you will explore the possibility of using Deep Neural Networks for modeling...
The student will initially revise the existing literature on single stage and two-stage detectors. The proposed network will predict the bounding boxes of openings in UAV images. Some datasets of understanding façade such as CMP-base...
The student will initially revise the existing literature on the SIDE algorithms. The use of already existing code and available datasets to train these algorithms will be the starting point of the work. The UAV datasets will be...
There is a long list of glacier surface characteristics which can be mapped from optical and SAR remote sensing. In this research thesis, the student will investigate deep learning techniques for automatically extracting the glacier...
Key challenge in this research is to find out different strategies to improve the classification of water and bridges.
to design operational data-driven forecasts models: a case study using machine learning based phenological models and weather forecasts
Machine/deep learning approaches for object detection, object classification, and object localization methods applied mainly on RGB images (and optionally on 3D point clouds)
Methods using seasonal time series to classify crops exist, for example dynamic time warping (DTW). Methods to find sudden changes in time series with or without added seasonal patterns exist as well, for example B-FAST. Using these...
The overall goal of this MSc research is to develop spatially explicit active learning methods for crop areas mapping from satellite images time series. Different spatial information, e.g. geographic distance between samples or pattern,...
The overall goal of this MSc research is to develop spatially explicit active learning methods for crop areas mapping from satellite images time series and auxiliary data. Different spatial information, e.g. geographic distance between...
The student will initially revise the literature on unsupervised and weekly supervised deep networks, and on cloud detection methods. The main focus will be on methods that are able to compose an efficient end-to-end trained system, and...
The primary objectives of projects in this theme should be to: - Acquire the ability to critically evaluate geo-data technologies and their social implications - Contribute to an emerging field of research on critical data studies and...
This research will focus on applying innovative methods (in some cases machine learning), integration of different 3D data for creation and applications of Digital Twins/3D city models. There are several possible...
Developing and implementing algorithms for detecting subnetworks the local network dimension of which is homogeneous.
Objectives: • To analyze potential disruptions in an urban system concerning major hazardous events • To evaluate the consequences of uncertain interactions in urban systems due to dynamic and interactive conditions and/or...
The objective is to evaluate and develop effective methods for drought analysis for agricultural applications. Water cycle data from in-situ, reanalysis and satellite will be used to derive high resolution data relevant to agricultural...
Advanced Agro-Ecological Zoning was carried out through clustering pixel-specific long-duration (20-years) temporal NDVI-profiles (greenness-profiles) for the whole Orisha area. We labelled the created zones (22x): Crop Production System...
In this research the following major questions should be addressed: - What climate risks and disaster impacts have occurred in a specific conflict-affect country (historical hazard and impact analysis)? - What forecast skill exists...
As a consequence of global warming, lakes are warming up [1]. This is expressed by steadily increasing base temperatures, but also in increases in the frequency and intensity of lake heatwaves [2]. Land-based organisms may adapt to a...
The objective of this research is to study the feasibility of using (artificial) saline wetlands for osmotic power generation, thus combining the ecological function of wetlands with renewable energy generation. The feasibility study...
Main objective To estimate the lake open-water evaporation of the intermittent Lake Xau, Botswana Specific objectives Define periods when the Lake Xau was filled up with water within the time span from 2010 to 2019. Define daily...
The objectives are flexible, and depend on the precise case study chosen. Below a few basic example objectives are listed. - To estimate forest canopy height with TanDEM-X InSAR data with different techniques; - To estimate the change of...
The primary objectives of projects in this theme should be to: - Acquire the ability to critically evaluate geo-data technologies and their social implications - Contribute to an emerging field of research on critical data...
In this study, we propose to use relatively high spatial resolution (i.e.,100 m) and very high temporal resolution (i.e., 5-day composites) Proba-V NDVI time series as well as its associated greenness metrics (e.g., maximum NDVI, mean...
To date, distribution of species is based on presence data was modelled on a country scale using only primary and coarse resolution environmental parameters. The proposed research topic will refine the initial models by including more...
This research aims to examine whether different forest management practices will affect forest resilience to drought. The study site is a mixed conifer forest within Sierra National Forest in central California, USA. It has an extension...
The main objective is to assess how both Sentinel-1 (radar) and Sentinel-2 (optical) can be used for effective assessment of vegetation seasonality at 10m resolution across African rangelands. The precise objectives need to be defined,...
In this MSc research, you will need to use network science to detect urban spatial structure dynamics with multiple timeframes using public transport data. Next, use the spatial interaction model (or LUTI) to explore the driven force...
The aim of this study is to examine the relationship between various vegetation land cover classes and thermal infrared data obtained from high-resolution airborne thermal hyperspectral imagery in a mixed temperate forest in Germany. ...
Intel® RealSense™ depth camera D435i, i.e., the combination of an IMU, RGB stereo camera, and a depth camera, is connected onto a laptop and utilized by the student to scan an indoor environment. ROS libs, ORB-SLAM2, or other suitable...
This study will use time series of remotely collected data from the ground as well as from space. Two fumaroles in Kenya’s Olkaria field are currently monitored with ground-based thermal infrared cameras at the surface. Subsurface...
Detection of free water on flood prone areas and wetlands. Radar and shortwave. Construction of long term time series of floods. Flood evolution: building and recessions. Construction of flood recurrence maps and water permanence...
The objective of this study is to reveal to what extend noise reduction can improve the accuracy of estimated forest parameters using RVOG model. Several efficient algorithms exist in the literature to suppress the speckle noise in SAR...
The main objective of this research is to monitor the evolution of an open coniferous Mediterranean forests under droughts and/or insect attack disturbances in order to estimate tree mortality as an indicator of forest degradation. The...
The topic deals with the scaling from global satellite water cycle products to field scale water states which includes both the surface and profile information on water states – with a focus on soil moisture and evapotranspiration. One...
Accurate fuel type mapping will help in the decision making process in relation to fire risk mitigation, since it can help to design fuel treatments strategies that will reduce the occurrence and the impact of the wildfires on ecosystem...
Several research options are available within this topic: - Regional seismological subsurface imaging using receiver functions, ambient noise tomography, earthquake tomography, or joint inversion of multiple seismological datasets. -...
The design of the network of protected areas is the first requirement towards their legal establishment and functioning. The proposed MSc research aims to evaluate the design of the PAs in Greece and can address one or more of the...
To build an AR or VR application that allows users to explore a generalized 3D origin-destination flow map by having grouped routes “exploded” (i.e., disaggregated) upon the user’s gaze being fixed upon them, for use on either a...
This study will make use of labelled UAV / satellite imagery across different urban environments. A supervised machine learning method (e.g. Fully Convolutional Networks) will be trained on one study area, and the generalization of that...
Sustainability certification helps to make clear which producers produce their goods with respect for nature and people. Many sustainability criteria (e.g. non-forestation) have a spatial component. Checking each and every spatial...
Your Geohealth research can take different directions. A first line of research concerns the study of access and accessibility of health services. A second direction is to study the relationship between socio-economic conditions and...
To monitor and analyze the dialog about COVID-19 on Twitter over time and space in Western Europe using Geotagged tweets and investigate the relationship between people's attention to the pandemic and the disease's spread.
In this research the following questions could be addressed, to be further developed for a concrete context in consultation with stakeholders: - Combine climate data, remote-sensed heat mapping with exposure and vulnerability information...
The goal of this topic is to use airborne hyperspectral imagery, aerial photos, and airborne geophysics for detailed mapping of the stratigraphy and the architecture of hydrothermal vent systems and paleo-surfaces. The results may help...
The objective of this topic is to develop space-time risk maps that takes into account population variabilities, demographic, environmental and socioeconomic factors, spatial, temporal, and space-time variations. This will require the...
This project will seek to measure levels of map clutter in origin-destination (OD) maps and relate them to user-reported levels of usability, so as to try to determine how much clutter becomes excessive.
The objective of this research is to find an efficient and applicable registration method to co-register LiDAR data (trajectories and point clouds) and image data (camera poses and point clouds) simultaneously acquired with a hybrid UAS...
The objective of this study is to analyze the response of Douglas fir trees to water and temperature stress and light fluctuations. This will be carried out by processing data measured with the Piccolo hyperspectral system. The Piccolo...
In this research the following major questions should be addressed: - What impact can pre-segmentations have on the follow-up image analysis? Is there a positive impact at all? What particular analysis steps do benefit from a...
The aim of this reserach is to incorporate socio-economic indicators in the Tajirisk platform , and generate a holistic risk index which is composed of the outcomes of the multi-hazard risk assessment in terms of the exposure and losses...
This MSc project shall investigate positive and negative side-effects of adaptation in a city of the South with adaptation experience. The student will first review local climate policies of selected cities in the Global South,...
The main objective of this thesis will be to provide a first assessment whether herd locations (and possibly livestock numbers) can be revealed by night-time imagery from ECOSTRESS. ECOSTRESS is a sensor flown onboard the International...
In 2020, ITC MSc student Bruno Portela has studied an epithermal system in Nevada with the help of short-wave infrared imagery. His results are currently being published in Ore Geology Reviews. As part of this research you will take the...
This study attempts to explore existing and advanced machine approaches such as a recurrent neural network for time series analysis. The input data – InSAR phase time series can be downloaded from https://bodemdalingskaart.nl, along...
The student will initially revise the existing literature on scene segmentation and depth estimation with deep learning. Student will focus on the technologies can be used to train an efficient end-to-end network. The network only takes...
The topic proposed will analyze how kampongs, and/ or government strategies targeting the Kampong, influence spatial patterns of urban development, and better understand the mutual relationship between the informal economies or the...
Developing a classification system based on the integration of remote sensing and social media data for estimating the impervious surfaces
The aim of this topic is to: Empirically explore the applicability of Turner’s (1968) theory on explaining settlement choice of new residents in an informal African urban context.
This study will make use of labelled UAV / satellite imagery across different urban environments. A supervised machine learning method (e.g. Fully Convolutional Networks) will be trained on one study area, and the generalization of that...
This will be a comparative research based around specific case area – where supervised and unsupervised image analysis methods will be tested and compared to identify different tenure types using image-based proxies.
Use Sentinel 1 and Sentinel-2MSI images to detect and identify land-based pollution in coastal areas. You will use a combined active-microwave and passive-optical methods detect and identify untreated sludge and oil spills in coastal...
This research will examine whether there is a relationship between people's landscape preferences and the local morphometry of those places. It will examine whether there is a correlation between preference and measurable physical...
To determine where people gaze when viewing natural landscapes and whether or not immersive video of landscapes affects people's landscape preferences.
To review trends in legal reforms induced by innovative approaches in land administration
Quantify and reduce uncertainty of locations derived from place-names in user-generated geographic content
The focus of this research topic will be on employing state-of-the-art remote sensing algorithms (including machine learning, BIG data and cloud computation) for the mapping of deprivation and/or socio-economic conditions within cities,...
The objective of this study would be to investigate what the green minerals in the drill cuttings really are and possibly how to best prevent future misinterpretations as epidot. To help solve this question the drill cuttings can be...
This MSc topic aims at investigating this research gape. The available course of the thesis may cover themes from seismology to geomorphology, with a common link in terms of landslide susceptibility modeling. Study areas may chosen...
In this MSc research project, you will use machine learning (ML) models to reproduce time series that depend on spatial features. Most ML time series methods can be used to predict future time datasets at locations where historical data...
A study will be conducted of the real-world use case to identify possible risks to human/societal values such as biases, personally identifiable information (PII), or demographically identifiable information (DII). The study will look at...
The purpose of this study is to map wall-to-wall arable field probabilities/fractions at 20-30m spatial resolution for the entire Ethiopia. The maps will be derived from surface reflectance/emissivity acquired by a number of remote...
Developing and implementing deep learning algorithms for the fusion of the Sentinels images to improve the croplands maps in the Netherlands
The objective of this research is to analyse and interpret seasonal cycles of solar induced chlorophyll fluorescence (SIF), a data product of TROPOMI for a wet-to-dry gradient in tropical Africa or a temperate-continental gradient in...
Develop method for createing time series of inundation maps with the integration of optical and radar satellite images.
The focus of this research topic will be on employing state-of-the-art remote sensing algorithms for the mapping of deprivation and/or socio-economic conditions within cities, this will be combined with local data (either existing data,...
Make users aware of of changes in administrative units in time series
Implementing and testing modifications to existing cartographic means with respect to their ability to tell stories.
The objective of this project will be to use existing knowledge on the existence of slums and the ontological framework from the Generic Slum Ontology (GSO) to model the growth of slums. The purpose is to combine the indicators from GSO...
This MSc thesis study will use recently developed tools for modelling spatial accessibility to explore the spatial patterns of access to crops (production) or food (consumption), and their implications to society.
The objective is to analyse satellite NO2 data. The specific objectives will depend on the interest of the student and the open questions at the time of topic selection. It can include: - Methodology testing to identify and quantify...
Climate change causes degradation of permafrost in northern regions and unanticipated environmental problems. Microwave satellite data can be used to monitor these changes on global scale.
The objective of this study is time-series or multi-temporal classification of Enschede. Seasonal polarimetric spaceborne RadarSAT-2 images over the city will be considered. From each data set several efficient polarimetric features will...
The following research questions could be considered: - Can we improve on existing multi-temporal image analysis methods? - Can we make our measurements of geological land surface cover independent of time? - Can we distinguish weather...
The study will review the existing mechanisms to manage risks of shifting natural resource based cadastral boundaries due to disaster event in different countries and suggest an inclusive and participatory approach based framework. It...
ITC has established several regional in-situ soil moisture and soil temperature observation networks in the Twente area in the Netherlands, in the Tibetan plateau in China and in Kenya. The soil moisture probes are usually installed at...
Literature review on change detection using multi epoch point clouds, Siamese networks. Implement suitable deep learning network, generate training data and change detection on multi epoch dense point clouds. Analyze object changes,...
Improve the understanding of how design choices made in the realization of a web map interface impact the eventual system performance
To investigate the use of active learning methods to optimize volunteered data collection
For this research topic the following main research question(s) could be considered: - Develop a method for mapping minerals or interesting features on a planet, moon, asteroid or comet of choice. - Develop a method for assessing the...
Development of a national spatial geo-referenced GIS dynamic database of public and private assets and infrastructure (agriculture, livestock, infrastructure, buildings) and associated physical vulnerability to different types of natural...
The thesis will contribute to, and build on the preliminary results from the HABITABLE project, which collects, analyzes, and compares perceptions of climate change among migrating populations in Ghana, Mali, Ethiopia, South Africa and...
Goal of the research is to develop a planning support tool that supports the participatory planning of bicycle friendly urban areas. The methodology may include the analysis of the current bikeability of a certain case study area or...
The purpose of the study is to develop predictive maps of crop yield for four world staples (corn, rice, soybean and wheat). Crop yield data for these crops was collected from several fields in the Province of Ferrara, Italy in 2020. The...
To develop a method to represent multiple semantic perspectives in user-generated geographic content and visualize them.
The STEMMUS numerical soil-water-atmosphere model (Zeng and Su, 2013; Yu et al., 2016) and SCOPE radiative transfer-photochemistry-non-radiative energy dissipation model (van der Tol et al., 2009) will be combined as a numerical toolbox...
Quantitative assessment of surface-groundwater interactions
This research plans to compare a regular social protection (SP) targeting method (often income- or categorically-based) with a method that integrates natural hazard risk information (“climate-informed” method). The climate-informed...
The methodology described in van Ruitenbeek et al. (2019) will be used as a basis and further developed in consultation with supervisors.
Methodological approaches and data collection/analysis methods depend on the research questions, which a student develops in the course of proposal writing. Mixed method approaches are encouraged, especially the creative use of spatial...
The student should first conduct a literature review on general flight planning, giving particular attention the the vast literature on next-best-view. The student will then implement an algorithm that allows the flight path to be...
The purpose of the study is to develop and test an automated technique to map the fraction of forest cover at 30-60m resolution from the late-1960s to present. Images will be acquired over a predetermined study area from the Landsat and...
This thesis project will be supporting a currently on-going research project (RETSI) funded by the NWO on energy transition and how it is intertwined with other societal challenges, such as, climate adaptation and circular agriculture....
Mangroves provide protection against waves and flooding. However, little is known about how establishment of mangrove seedlings translates to the long-term development of mangrove forests. The key objectives of this study are to (1)...
The objective of the study is to build a scientifically sound showcase of a remote-sensing based nature monitoring method.
Goal of the research is to explore means of remote stakeholder collaboration in urban planning and to assess its effectiveness in a case study. Potential urban planning topics are bikeability in urban areas, urban energy transition, and...
In this MSc research, students will 1) explore the diverse data and methods available in existing studies to represent urban vitality; 2) study the relationship between the different representation; 3) discuss their strength and...
To study multi-functional land use as a way to increase the resilience of regions
The objective of this study is to analyze the response of tree transpiration and evaporation to weather extremes. The methodology includes the following steps: (1) You will install sap flux density sensors and a thermal camera in trees...
The aim of this study is to identify key hazardous processes that happen simultaneously during tropical cyclones. Possible research questions are: - To what extend is storm surge impacting the flash flood hazard? - What process...
Short and longwave infrared spectroscopy of end-of-life battery materials is a new field of interest. Li-ion batteries have many different active cathode materials, and we can foresee that fast ‘smart sorting’ is needed in recycling...
This project will focus on defining spectral signatures of lithium minerals of interest to the mining industry. There is a need for systematic research to quantify the relation between chemical composition and spectral absorption...
Spectral detection and identification of REE minerals like REE-fluorocarbonates (e.g., bastneasite) and REE-silicates like eudialyte is still in its infancy, despite the key role that spectroscopy can play in the exploration and/or...
This study will utilize and compare several polarimetric decomposition methods to generate a reliable classification map, and identify the temporal evolution of all radar scatterers using classification dynamic map. The main objective is...
* Get acquainted with GNSS reflectometry * Help building a raspberry pi powered gnss reflectometer receiver * Create a validation dataset of tree top heights. Write an observation plan. * Analyze reflected GNSS signals from the...
Deep learning has transformed the field of computer vision, and now rivals human-level performance in tasks such as image recognition and object detection. Once trained, these models serve as generic feature extractors, and can be...
Review the literature. Explore how different sensors, including humans, are being used to monitor our environment and how these are applicable to health risks. One aspect of this research will examine the role humans and citizen science...
Machine/deep learning approaches for sensor fusion, object detection, object classification, and object localization methods applied on RGB images and 3D point clouds
This study aims to detect/classify different crop categories and map their spatial distribution using time-series remote sensing data. Temporal analysis of Sentinel-1 SAR data of fields covering different crop types (Rice, Mazie,...
The goal of this study is to examine the Sentinel-2 data to map and model NPP and its spatial variation in a temperate forest in Germany. The student will work with Sentinel-2 high-resolution multispectral satellite images. The student...
Possible objectives and methodology, depending on your interest: - Adapt spatial and economic planning methods for industrialization or coastal zone development - Develop collaborative spatial planning and decision support (SPDSS)...
This research topic aims to extend an existing agent-based Covid-19 model with risk perception at the municipality level to compare national coping and local coping strategies.
Gather requirements and design a tool for creating sketch maps for use in geography education.
The main objective of this research is the smart use of indoor mapping systems output either LiDAR-based or image-based to monitor the progress of the work in building construction and the quality checks between the as-built and...
Although we are open to suggestions from students who are excited about this topic (see topic description), we are specifically looking for students who are interested in working on the following two research areas: 1. As part of the...
The main objective of this study is to develop a geostatistical model for filtering the observed risk, granular mapping, and generation of realizations through simulations. The structure of the method depends on the data structure of the...
Test a model of observer intensity developed for The Netherlands in one or two Fenno-Scandinavian settings, evaluate the findings, and possibly develop a next-generation model of observer intensity that applies generically. Observer...
The objective of this MSc research topic is to analyze the spatial variability among soil moisture measurements that have been collected in Twente over the years from 2009 to 2019. A network of twenty soil moisture monitoring stations...
• Development of an integrated spatio-temporal multi modal transport model for the city of Cape Town, preferably in an open GIS environment. The model allows for spatial-temporal analysis of accessibility and mobility. The model should...
The objectives are flexible, and depend on the precise case study chosen. Below a few basic example objectives are listed. - To estimate relevant temporal information from high-resolution satellite image data; - To evaluate the accuracy...
In 2D SAR images the backscattering from ground, façade, roof are superimposed in to a single pixel due to layover issue. This work attempts to implement a new interferometric technique that is able to resolve the layover issue and...
The objective is to develop a space-time statistical downscaling method for predicting PM concentrations from AOD retrieved from TROPOMI at the European scale. Data required include PM observations from European monitoring stations and...
Research aims for the identification of street furniture features like light poles and traffic signs out of the 360˚ panoramic images acquired by a mobile mapping system. Few research is published in this focus but we are aiming to...
Exploring and implementing subspace clustering algorithms for the analysis of geo-referenced time series
Sustainability of groundwater resources evaluation under stresses
The theme of sustainable transport is broad which provides students with the possibility to develop their own topic.
For this research topic the following main research question(s) could be considered: - How can the different types of drought be best monitored in the selected region? - How has drought hazard changed in last 30 years? - What is the...
The following research questions could be considered: - How does iron oxide speciation influence spectral absorbance features? - Which iron-bearing minerals can be distinguished in multi-spectral VNIR data? - How well can we distinguish...
This MSc topic aims at laying the foundations for a near-real-time forecasting system. To achieve this, a multidisciplinary approach which involves geomorphology, statistics and meteorology will be pursued. Several study areas can be...
The objective of this MSc research topic is to quantity the severity of the 2018 and 2019 droughts using the profile soil moisture measurements collected in Twente and assess whether remote sensing-based drought indices are able to...
In this MSc project, the objective is to apply an automated and efficient detection of gaps in the 3D reconstructed object parts and replan the imaging network to have finally a fully coved object with the required level of details and...
The main objective of this MSc research topic is to investigate the effectiveness of weirs as drought mitigation measure for the Brecklenkamp community. Through a combination of groundwater modelling and data analysis students analyze i)...
Development of a visualization technique that supports biogeographic analysis in phylogenetic studies
Soil moisture data at regional scale is readily available with a high accuracy from NASA’s Soil Moisture Active/Passive (SMAP) satellite. The objective of this research is to investigate what the predictive value of the regional scale...
With this research topic, we aim in investigation of automated 2D and 3D maps as initial step towards BIM modelling. The topic can include work related to classification of UAV (or other RS data), visualization, methods and tools for...
• Evaluation of the use of the capability approach of Amartya Sen in transport studies. • Assessment/modification and application of instrument developed by Brussel to a major city in the Netherlands. • Development of an approach...
The student should start with a literature review, investigating the state-of-the-art methodologies for infrastructure inventory generation. The student will then develop an algorithm for road marking extraction from images. In...
Examine the effect of different concept mapping hand-crafted designs on users’ reading and comprehension of conceptual information. We will explore how concept maps designs generalize on different types of contents that we use at ITC,...
The WRS department of ITC faculty has developed urban climate observation flux tower sites and, in cooperation with the Creative Technology group at the EWI faculty, the City Council of Enschede and the Regional Water Authority...
The urban morphology can be modeled by local climate zones (LCZs) can be extracted using machine learning algorithms (e.g., random forest). The methodology has been developed for moderate-resolution imagery (see http://www.wudapt.org/),...
Climate change is nowadays prominently present on the political and thus scientific agenda, which is reflected in the Dutch Delta-Programme for Spatial Adaptation (“Delta-Programma Ruimtelijke Adaptatie – DPRA”) in which an...
Depending on the specific questions, a combination of qualitative and quantitative methods (QUAN-QUAL) is envisioned; e.g., qualitative data analysis, Qualitative GIS and mobile data capture, walking interviews, photographic recording,...
The MSc research will explore the accessibility of and issues of justice with respect to urban green spaces in Paramarbo, Suriname: How are urban green spaces distributed in the city? How accessible are urban green spaces to residents of...
Understanding how urban processes give rise to urban forms based upon earth observation
Examining the usability of the vario-scale approach in interactive and dynamic mapping.
The objectives of the MSc dissertation is to investigate the suitability of the LCZ scheme's, specifically WUDAPT L0 data for phenology characterisation. This shall be achieved using Pan-European phenology data sets (leaf development,...
The proposed MSc research will use UAV carrying multispectral sensors to compare vegetation indices and classification algorithms to map tree health. Rapid eye and field observations can be used in conjunction with UAS (Phantom 4 UAV -...
The purpose of this project is twofold: carry out image-based damage assessment for an event where IBF was done, to determine the accuracy of the loss prediction, where possible for individual hazard types. Secondly, investigate the...
Review mobile apps that may be useful for use in the classroom to conduct local fieldwork. Test and assess mobile phone apps and provide recommendations on what apps are appropriate.
Developing and comparing different cartographic means to display places on a map.
Study patterns in space, time, behaviour of communities of contributors to citizen science. Specifically in context of a Dutch citizen science community.
The objective of this research would be to find out what causes the spatial patterns in the “shadow” maps of laboratory hyperspectral images from the ITC Geoscience Laboratory. By investigating this topic you will aim to understand...
For this research topic the following main research question(s) could be considered: - What key factors define a worst-case flooding scenario (rainfall, landuse, DEM, etc)? - How different is the flood comparing a standard design storm...
Develop design framework for web-based collaborative spatial evaluation Develop serious games for integrated spatial governance and planning
To review and provide an in-depth description of the content, themes, and composition of fit-for-purpose land administration videos on YouTube.