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E-TRAINEE Course

Geopython

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E-TRAINEE Course

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Prerequisites
Toolbox intro
Toolbox intro
- Toolbox overview
- Visual Studio Code
- Manage software packages and environments
- Jupyter Notebooks
- Geopython quickstart
  Geopython quickstart
Module 1
Module 1
Module 2
Module 2
- Overview
- Principles of multispectral imaging
  Principles of multispectral imaging
  - Lesson
  - Exercise
- Temporal information in satellite data
  Temporal information in satellite data
  - Lesson
  - Exercise
- Image processing
  Image processing
  - Lesson
  - Exercise
- Multitemporal classification
  Multitemporal classification
  - Lesson
  - Exercise
- Vegetation change and disturbance detection
  Vegetation change and disturbance detection
  - Lesson
  - Exercise
- Case studies
  Case studies
Module 3
Module 3
- Overview
- Principles of 3D/4D geographic point clouds
  Principles of 3D/4D geographic point clouds
  - Lesson
  - Exercise
- Programming for point cloud analysis with Python
  Programming for point cloud analysis with Python
  - Lesson
  - Exercise
- Principles and basic algorithms of 3D change detection and analysis
  Principles and basic algorithms of 3D change detection and analysis
  - Lesson
  - Exercise
- Time series analysis of 3D point clouds
  Time series analysis of 3D point clouds
  - Lesson
  - Exercise
- Machine learning-based 3D/4D point cloud analysis
  Machine learning-based 3D/4D point cloud analysis
  - Lesson
- Case studies
  Case studies
  - Multitemporal 3D change analysis at an active rock glacier
  - Time series-based change analysis of sandy beach dynamics
Module 4
Module 4
- Overview
- Principles of imaging and laboratory spectroscopy
  Principles of imaging and laboratory spectroscopy
  - Lesson
  - Exercise
- Airborne hyperspectral data acquisition and pre-processing
  Airborne hyperspectral data acquisition and pre-processing
  - Lesson
  - Exercise
- In situ and laboratory spectroscopy of vegetation
  In situ and laboratory spectroscopy of vegetation
  - Lesson
  - Exercise
- Machine learning in imaging spectroscopy
  Machine learning in imaging spectroscopy
  - Lesson
  - Exercise
- Temporal vs. spatial and spectral resolution
  Temporal vs. spatial and spectral resolution
  - Lesson
- Case studies
  Case studies
Software
Software
- CloudCompare
- EnMAP-Box
- Python
- QGIS
- R
- Google Earth Engine
Use Cases and Data
Use Cases and Data
About the project
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Geopython quickstart¶

Still coming ...

Funded by the Erasmus+ Programme
of the European Union.

Except when explicitly stated otherwise, the course is licensed under the CC BY-SA 4.0 license, associated code is licensed under the MIT license.

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