Python

video machinelearning using yolov3 on windows 10

The script focuses on assessing tree vitality trends in urban areas of the Netherlands using high-resolution satellite data and vegetation indices. It employs tree segmentation, trend analysis with weighted linear regression, and classification based on slope values. The methodology enables scalable monitoring of tree health and stress, providing valuable insights for urban forestry management and planning.

Scripts and resources used for my MSc Thesis at the Bioinformatics chair group.

The goal this project is to create a pipeline that automates the secondary metabolite phylogenetic analysis of fungi to a certain extent.

Repository for Python raster GIS library with low memory requirements

ACT project for the masters programme Geo-Information Science at Wageningen University & Research, conducted for the Dutch Ministry of Defence