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...

3D City Models in the Context of Urban Mining: A case study based on the CityGML model of Rotterdam

Recently, the application of machine learning and data fusion techniques on hyperspectral imagery have demonstrated potential for ground cover classification at material level. Hereby, specific locations of resources enclosed in cities (e.g. roof materials) can be identified, which is critically relevant within the field of urban mining. A...

Automatic identification of water courses from AHN3 in flat and engineered landscapes

The Netherlands is characterised by mostly low lying, flat, and engineered agricultural lands, which are sensitive to flooding. To protect against floods, a correct network characterisation is of the utmost importance. A Dutch water resources management company, the HDSR, wishes to have a highly automated method to characterise the water course...

Generating a full 3D Model of The Windmill (Molen de Roos)

Merging interior and exterior laser scanning point clouds of the historical windmill, completing the missing parts from airborne laser scanning data and trying different mesh generation methods for full 3D windmill model generation in order to be able to perform virtual visits in the future.

3DTOP10 Integratie van TOP10vector en het AHN