Based on the paper by M. Stasolla and H. Greidanus from 2016, a workflow is followed to estimate ship sizes based on Sentinel-1 imagery. Most importantly, a fundamental element in their workflow is the usage of mathematical morphology to “clean” the SAR image in order to estimate the real-world boundaries of ships
In this image processing class, some exercises were completed in (Binary) Mathematical Morphology. The used methods are erosion, dilation, opening, closing as well as skeletonize and convex hull. The binary image in this case is a geotiff representing sealed surfaces (1) or unsealed surfaces (0) in the Golf of Benin, spanning Togo, Benin and Nigeria
Using Photogrammetry, a newly formed erosion channel of the ‘Inde’ river is mapped. After the heavy rains in Germany in July 2021, the river reclaimed its former riverbed and floods the open pit mine.
Creating a Dashboard, visualizing ICU occupancy rates in the Austrian federal states. A ubuntu 18.04 server hosts an Apache & WSGI installation, which runs a Plotly Dash via Flask. The data is automatically scraped and served via a GeoServer.
Aerial surveying of a 1920s era velodrome. Creation of DSM and Orthophoto in order to calculate track characteristics such as bank angle, track lenght and width as well as the turn radius.
The dataset that is worked with consists of roughly individual 40.000 data points of hurricanes. The aim of my workflow is to predict the future speed and bearing of the individual hurricanes using a Neural Network and a Random Forest Regressor. The data will be cleaned, features created and the prediction will be assessed for it’s accuracy as well as the two methods compared.
Using pgRouting, a navigation functionality is implemented based on a spatial database of a fun fair, where the user can input his or her position and be routed to a nearest Point of Interest. A Python DB connector dynamically creates the SQL queries and visualizes the results.
Within the end of term assignment for the Practice of Software Development course, a KML file is created visualizing both the result of an OGC Web Map Service request as well as the parsed information from a CSV file containing tweets and their locations.
Additionally, the tweets are analysed regarding possible profanity and
This blogpost gives short overviews over the topics discussed in the Selected Topics in Geoinformatics Lecture. Instead of summaries of the 10 lectures, brief personal statements and opinions on the topics are given by outlining my personal take-home message from the lectures.
For this freelance project, the task was to perform a very quick suitability analysis for the development of a property in southern France, based on publicly available data.
Using eCognition, a quickbird image is segmented based on several spectral and spatial characteristics.