Machine learning as a mapping tool

The goal of the assignment has been to develop a final product in the form of land cover data, classified into five categories: buildings, impervious surfaces, vegetation, open land, and exposed bedrock, where the latter was the most important category.

To achieve this goal, a machine learning model has been developed and trained on input data.

The model has been used to make predictions on raster data, using a combination of orthophotos and elevation data. The results (exposed bedrock) were utilized to perform a risk analysis on over 1,500 plots in Oslo, with the aim of identifying landslide risk.

Machine learning is an area of artificial intelligence (AI) and includes various methods for using data to train programs or computers to solve a task, without programming the model with rules for that task.