Scripts for the Remote Sensing course in the faculty of Geoinformatics at the Munich University of Applied Sciences
Authors: Yrneh Ulloa, Gabriel Cevallos, Marina Trinz
Software for working with RS and GIS data.
Online archives to retrieve RS data.
Creation of training polygons for classification of optical data.
Unsupervised classification using k-means.
Supervised classification using Minimum Distance and Random Forest.
Accuracy Assessment of classified Sentinel-2a Rasterstack.
Create a map in QGIS using a classified Sentinel-2a Rasterstack. Moreover, use diverse functions in Python for preprocessing raster data.
Radiometric correction of Sentinel images.
Geometric correction of EnMap images.