Repo for content of the AMLD 2019 conference
The workshop will demonstrate the basic principles of Remote Sensing and how it can be used in real life applications. It is split in two streams:
Main stream
We share basic concepts and typical Remote Sensing hands-on (Jupyter Notebook) examples.
- Intro in remote sensing & applications in insurance
- Hands on basic concepts and data types
- Classify Land Use teaser example
- Experimentation with Google Earth Engine
- Dive deeper in Remote Sensing with snow-cloud discrimination example
Hack Stream
We would not like to keep experts in the room bored.
Let's hack together solutions on object detections and farm boundaries.
Teams with best solutions might be considered for further collaboration.
Important Links
- Workshop GitHub repo: This repo
- Workshop material: https://drive.google.com/drive/folders/15vQL_Wi_qHyDSocL9GVQKVA1x7t7zha0?usp=sharing
- Colaboratory link: https://colab.research.google.com/notebooks/welcome.ipynb
- Workshop Google Earth Engine repo: https://code.earthengine.google.com/?accept_repo=users/bernhard/AMLD
- Workshop challenge: https://github.com/tsarouch/AMLD_2019/tree/master/Challenge
Prerequisites
- Own laptop + basic programming skills
- Register yourself at https://earthengine.google.com/ (google earth engine) before coming to the workshop
Outcome We aim by the end of the workshop, the participants have
- exposed to the basic concepts of image processing in the context of remote sensing
- informed about the technological challenges and relevant best practices
- pointed to the potential of Remote Sensing in real life applications, like in the insurance world
Presenters: Charilaos Tsarouchas (SwissRe), Gillian Milani Bernhard Sassik (Exolabs)