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

Internship Presentations

Internship Presentations

On Tuesday, April 25 at 13 p.m. we will have the following presentations: Jyoti Biswas: Urbanization and demographic developments: Reviewing related social, environmental, and economic factors and a spatial analysis of border regions – Internship at DLR,...

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Animal Movement and Remote Sensing course

Animal Movement and Remote Sensing course

  How do animals move through the environment they live in? Which behavioural patterns can be observed when tracking an animals' movements for weeks, months or even years? Which spaces do they utilize and why? And how can remote sensing be used to predict the...

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Internship Presentations

Internship Presentations

On Tuesday, March 28th at 13:00 p.m. Wilmer Fabián Montién Tique will present on his internship "Topographic and hydrographic factors for flood susceptibility analysis. By using WhiteboxTools geospatial data in Nigeria" at DLR via Zoom.  On Tuesday, March 28th at...

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MSc defense by Luisa Wagner

MSc defense by Luisa Wagner

On Tuesday 17th of January at 12pm Luisa will present her M.Sc. thesis "Analysis of ice shelf front dynamics in Pine Island Bay (Antarctica) based on long-term SAR time series and deep learning". from the abstract: "Ice shelves, the floating extensions of glaciers and...

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Inno lab and internship presentations

Inno lab and internship presentations

On Friday, 8th of July, at 9:30 we will have the following presentations: Jana Maier (InnoLab at DLR): Multitemporal SAR Analysis for Sentinel-1 metrics based Land Cover Classification in West Africa - InnoLab in Agroecosystems and Phenology at DLR. Nora Nieskens...

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Internship and Inno Lab presentations

Internship and Inno Lab presentations

On Friday 20th of May at 9am we will have the following internship and inno lab presentations: Andrea Cardenas (Internship at DLR): “Data analysis of the refugee crisis in West Africa and definition of test sites in NRW – Germany”supervisor: Martin Muehlbauer Ása Dögg...

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