Spatial Python for Remote Sensing

Lecturer

Stephen Hill

ECTS

5 ECTS

 

Aim

In this course we will elaborate large and complex workflows dealing with the analysis and handling of big data using Python. Moreover, we will try to develop a fully automated processing chain in Python for landcover mapping starting with the download of Landsat data, preprocessing, classification and building up a spatial database that enables GIS functionality over large datasets for further analysis.

 

Content

We will start with the basics of Python programming language and quickly evolve towards image processing techniques with packages such as scipy, numpy, scikit-learn, scikit-image and gdal. We will also focus on arcpy for ESRI software products which allows for a convenient and powerful automatization of spatial analysis functions.

 

General Course News and Updates

inno lab and MSc idea presentation

inno lab and MSc idea presentation

Next Tuesday, April 27th, at 10am the following EAGLE students will present their Innovation Laboratory work and their MSc thesis idea: Sandro Groth: "PortalAdminTools: A Python-based programming interface for Esri Enterprise infrastructures" (InnoLab with ESRI)Sandro...

read more
internship presentations

internship presentations

On Monday March 1st at 10am the following internships will be presented:  Marius Witt, Baby it's cold outside - Interning at DLRs Polar Team, internship at DLR. Jakob Wachter, Potential use cases of a self established database for social media data, internship at...

read more
impressions of our UAV course

impressions of our UAV course

In September 2020 our UAV course took place and all practical exercises were covered. The manual UAV control as well as the automatic mission planning settings were discussed and actually applied. Various UAV systems were explored by the students and a diversity of...

read more
Share This