GeoPython – how to save the world using Python
a talk by Małgorzata Niewiem
Remote sensing offers an increasingly wide array of imagery with comprehensive and consistent coverage of the earth's surface.This field grows every day as more satellites are launched and availability of data increases. Satellite images acquire at frequent intervals with a number of details has been used to monitor changes on the Earth. That monitoring can not only help us to see the beautiful world without leaving home but also see processes that occur on the earth to predict disaster situations.
In this talk, I am going to explore remote sensing and how it can be connected to Python. I will show how using GDAL, NumPy and OpenCV libraries to process satellite data to create full-scale information products. I will introduce some important algorithms used to change detection.
This talk is intended for Python developers who want to see how space technology answer critical questions for better decisions.
This talk is suitable for both beginner and advanced Pythonistas.
I am a graduate of Applied Computer Science with specialization in Geoinformatics and now I work as Python programmer in Kraków.
I use Python to develop algorithms to monitor world from satellite images. I am currently working on new algorithms to assess risk of damage due to mining subsidence.
Also I am PhD student who loves scientific and technological challenges. I used any free moment on knowledge sharing – on conference and Python workshops. Privately admirer of the roller-skates, mountains and jelly beans.