MSc topics in Geoscience and Remote Sensing
On this webpage you can find an indicative list of available topics for MSc graduation projects. It is certainly not a restrictive list: you may also define your own research proposal in consultation with a supervisor.
By analysing a series of bathymetric surveys, the goal is to design an appropriate statistical testing procedure to investigate which alternative mathematical model best represents the seafloor by testing which alternative fits best.
Keeping track of polar ice mass-balances is one of the keys to understanding climate change. One important process is ice discharge from outlet glaciers. You will explore (and push) the limits of observational capabilities by applying InSAR processing techniques to monitor flow velocities of glaciers.
One of the most unique capabilities of remote sensing using Synthetic Aperture Radar is imaging the vertical structure of semi-transparent media such as forest canopies or ice. Sounds interesting? In this MS thesis we (you) will use a unique airborne Synthetic Aperture Radar data set to study how well this may be done with future satellite missions.
Raindrop size distribution refers to how many raindrops of size D are present in 1 m3. It is still a challenge to retrieve this information at different altitudes, and it is needed to accurately estimate rainfall rate for weather radars. You will use radar and disdrometer data to advance the retrieval capacities.
Do you want to design a swath processing scheme of CryoSat-2 SARIn data and use it to derived elevation measurements to estimate the elevation change trends at high resolution over two of Greenland’s major outlet glaciers?
Are you interested in satellites and radar observation of earth and atmosphere? This performance study on innovative micro-satellite radars should find out how to improve remote sensing of ocean and inland water levels.
For many years GPS positioning with an accuracy of several meters can be done with handheld devices and car navigation units. More recently GPS positioning has become a standard function on smartphones. Can precise GPS positioning also be performed with a smartphone?
GNSS receivers and magnetometers are default payloads on a very large number of satellite missions. You will collect those data from low-Earth orbiters and study their value for e.g. ionospheric or geomagnetic monitoring, orbit determination and relative positioning of spacecraft.
The idea is to detect landmarks from the images made by the vehicle; based on the known locations of these landmarks, this information can contribute to the positioning solution. Main question: what can optical landmark navigation add to positioning in terms of accuracy, availability and reliability?
Goal of the project is to estimate deformation velocities from Lidar data and compare the outcomes to estimated InSAR velocities. The results should indicate what size of deformations can be estimated using Lidar and should give more insight in the sources of InSAR-derived deformations.
The MSc project involves the translation and reduction of large sets of ground surface elevation measurement data (e.g. from airborne Lidar or underwater Bathymetry) into parametric surfaces that can be handled by the PLAXIS 3D pre-processor, while maintaining relevant geometric details.
The main objective is to further develop the GRACE data processing technique based on the so-called "mascon approach", with a particular focus on long-term trends in mass transport.
In this study, you will analyse the growth process of ice crystals by analysing the details of signals coming from different weather radars: Do they change as function of height? and What is the relation with rainfall at the ground?
In this study, you will analyse the data of a weather station network in Rotterdam and address the question: under wich circumstances is the city is significantly warmer than the countryside?
In this study, you will analyse the ability of weather radars to measure the shape of raindrops: How accurate can this be measured? and How is it related to the rainfall rate? You will use the advanced radar system TARA.
In this study, you will analyse the correlation between dust (so-called aerosols) in the atmosphere and cloud properties. The instruments you will use are the cloud radars of the KNMI and TU Delft and an instrument call ‘lidar’.
In this study, you will analyse the quality of the rainfall measurements of weather radar. The instruments you will use are the radars of the KNMI and TU Delft.
In this study, we would like to benefit from 3D scene generation, local characteristic feature and robust descriptor extraction, recognition and classification of natural fracture patterns.
This project sets out to establish a long-term record of Arctic and Antarctic sea ice extents based on Quikscat and OceanSat-II backscatter data collected. The record shall be used to substantiate the trends observed by other sensors and to enhance climate simulations.
Objective is to find an answer to the "burning" question whether we can believe that the self-lifting could be responsible for the occurrence of smoke layers at altitudes of up to 16 km.
Objective: Determine the influence of dynamic (time variable) elevation models to improve the quality of flooding scenarios. (MSc topic in collaboration with Water Resources Management)
Objective: Determine the opportunities of using remote sensing data to predict structural failure. (MSc topic in collaboration with Building Engineering)
Objective: analyze whether satellite remote sensing can be used to detect and monitor foundation instabilities. (MSc topic in collaboration with Building Engineering)
The aim is to investigate the system workings of modern GPS receivers in order to estimate the potential for application in vehicles, including between-vehicle communication.
The objective of this project is to study the variability of the ionosphere using dense networks of GNSS receivers. One of the applications will be the modeling of the total electron content for correcting GNSS signals and radar remote sensing (InSAR).
This project focuses on estimation of slant delays from GPS data to derive the 2D and 3D water vapor field in order to improve short term precipitation forecasts.
Goal is to develop enhanced GPS-based algorithms for lane detection and mapping. This will assist future intelligent vehicle systems to provide driver advice, or even enable fully autonomous vehicles.
The goal of this project will be to develop this technique and use it to extract interseismic motion associated with north‐south sections of the San Andreas fault in California.