Multi-case Evaluation of Empirical Methods for Satellite-Derived Bathymetry

Research on the physical, ecological and environmental processes in the coastal zone often rely on the availability of accurate bathymetric information. The traditional method to acquire these data is by conducting depth soundings from a vessel, which is a very accurate way for measuring bottom elevations in all kinds of water, but has as a...

Random Forest Classification of three different species of trees in Delft, based on AHN point clouds: Additional Thesis

Trees are an important aspect of the world around us, and play a sufficient role in our daily lives. They contribute to human health and well-being in various ways. Tree inventory and monitoring are of great interest for biomass estimations and changes in the purifying effect on the air. It is a very time consuming and cost inefficient way to...

Eutrophication prediction in the Dutch coastal waters using remote sensing data and machine learning

Eutrophication processes in coastal waters are becoming more prominent as a result of high nutrient discharges from intensive agriculture and increased urban waste. These processes can be devastating for local ecosystems and lead to dissolved oxygen depletion, which applies considerable stress on aquatic organisms. For ecosystems to preserve...

The influence of drone flightpath on photogrammetric model quality

In 2017 the Netherlands had 7146km of railways [Ramaekers et al., 2009], which are owned and managed by ProRail and have to be frequently surveyed, for quality inspection. Surveying is done using a variety of surveying techniques, many of which require surveyors to walk on or near the tracks, which could cause injuries. An alternative surveying...

Accurate, Detailed and Automatic Tree Modelling from Point Clouds

Trees are of great significance throughout the world, both in urban scenes and in natural environments. Models of trees can be widely applied in various fields, for instance, landscape design, geo-simulation, environment modelling, and forestry inventories. Recently, laser scanning technology has been rapidly developed, making it possible to...

Deep segmentation of the drivable path of a self-driving vehicle using external data: Influence of domain shift factors and depth information

Robot Care Systems (RCS) is involved in the development of the WEpod, an autonomous shuttle which can transfer up to six people. Based on a predefined map of the environment, the shuttle is able to navigate through mixed traffic its perception sensors such as camera, radar and lidar sensors. This study is acquired in collaboration with RCS and...

Locating PS-InSAR derived deformation using LiDAR point clouds

Built mainly on soft soil, the Netherlands is at high risk for the effects of deformation. Interferometric Synthetic Aperture Radar (InSAR) is successfully used to monitor the deformation trends at millimetre level. Unfortunately the InSAR deformation trends suffer from poor geolocation estimates, limiting the ability to link deformation...

Methods For Feature Extraction of an Outcrop Using Terrestrial LiDAR: Methods For Feature Extraction of an Outcrop Using Terrestrial LiDAR

The following report brings to light how LiDAR data of an outcrop can be acquired and subsequently processed in order to extract the geometry of the outcrop and its pertaining parameters. It makes the use of a sandstone outcrop in the Trooz quarry, Belgium, near Liege. The outcrop was scanned using a terrestrial laser scanner, after which the...

Automated photogrammetry of outcrops: with MicMac

Every year the second years of the bachelor Applied Earth Science have a geological fieldwork in Southern France. To supervise the students after a day in the field the idea is to collect a 3D model database of the outcrops in the field. This is done by photogrammetry and the open-source program MicMac.<br/>In this report an acquisition protocol...

The effectiveness of a snow fence in the dry Andes region of Chile

The region of Coquimbo, Chile, is located adjacent to the dry Andes. Water is scarce, and with very little precipitation during spring and summer, water supply in these seasons depends mostly on melt water from snow in the Andes mountains. <br/>A project funded by the local government was conducted by CEAZA, a research institute based in the...

Design and implementation of a novel method for creating glacial velocity time series for the Himalayan region using the optical Landsat database

Glaciers play an important role in sea level predictions and are an important supplier of fresh water. Understanding the physics and dynamics of glaciers is important in local and global climate predictions and predictions of fresh water supplies. The Himalayas are the biggest storage of fresh water outside the polar regions with many different...

Classifying Mangroves in Vietnam using Radar and Optical Satellite Remote Sensing: Processing Sentinel-1 and Sentinel-2 Imagery in Google Earth Engine

Mangroves are forest ecosystems growing in (sub)tropical saline coastal environments. With their unique root structure they serve as important natural coastal protection and provide habitats with excellent conditions for cultivating fish, shrimp and crab species. Despite all benefits mangrove forests are disappearing at alarming rates around the...

An Assessment of Cloud Detection Methods Concerning High Altitude Snow and Glacial Environments With Sentinel-2

Glacier fluctuations are regarded as one of the most significant indicators of climate change. The expansion and contraction of glaciers can be observed by outlining glacier boundaries or measuring snow lines with optical Earth observation satellites. New satellites, such as Sentinel-2A/B, provide high spatial resolution images and short revisit...

Usage of drones in the event of an incident on the rail: Measuring efficient and accurate

From this study can be concluded that using drones equipped with cameras a 3D model van be created of an incident on the rail. From the recordings, a 3D model van be made using photogrammetry. In this model it is possible to measure post distances with an estimated error of less than 1 centimeter. The distances between the laser scanner point...

Remote Sensing of Japanese WWII airstrips in the Papua Province Republic of Indonesia: Classification of the area surrounding three WWII airstrips (Mongosah, Otawiri and Sagan)

In the Second World War Dutch New Guinea was a strategic battle front for both the Japanese and the Allied forces in the Pacific War. A lot of airstrips were constructed and bombed during this time, of which at least three (Mongosah, Otowari and Sagan) have never been visited after the war. This provided a great opportunity to find potential war...

UAV Laser Scanning for DTM Generation in Coastal Areas

The Netherlands is a country primarily developed on coastal zones. Coastal zones are very important, since they are a source of valuable living and non-living resources for its population, and they also act as a natural protection against floods. Notably, the natural dynamics driven by the sea and the man-made actions on the land change them...

Indentifying glacial features with sentinel-2 data

The Tibetan Plateau is a vast elevated plateau in Central and East Asia. It contains thousands of glaciers and other geographical features. Through this area rivers like the Brahmaputra is flowing and making a basin providing about millions of people a home. <br/>The last years global warming has been a focus of public and scientific debate. Not...

Core sample characterisation using 3D terrestrial laser scanning | TU Delft

The main purpose of this thesis is to conclude whether terrestrial laser scanning (TLS) can be used as an automated method to improve the classification of soils. It was in collaboration with Fugro N.V., a large Dutch consultancy and engineering firm that is active in onshore and offshore services in the field of geological and geotechnical...