The Conference for Machine Learning Innovation

Satellite imagery analysis: Machine Learning to prevent environmental crisis

Session
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✓Save up to 223 €
✓10 % Team Discount
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Join the ML Revolution!
Register until December 12:
✓ML Intro Day for free
✓Raspberry Pi or C64 Mini for free
✓Save up to $580
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now
Join the ML Revolution!
Register until November 7th:
✓Save up to € 210
✓10% Team Discount
Register Now

More talks in the program:

We’ve all heard about illegal and uncontrolled deforestation around the globe. It is a severe problem for Amazon forests, Siberia and many other regions, and its drastic impact on environment cannot be underestimated. Most commonly, unauthorized tree cutting is carried out to clear the lands for agricultural needs or further timber trade. Quite often the measures taken to fight against these actions are inefficient, time-consuming and very costly, both in terms of investments and manual labor. 

During this talk I will demonstrate how Machine Learning can be utilized to perform both more efficient and less expensive deforestation detection based on public satellite images. On top of that, we will have a look at how this solution was adjusted to solve the task of finding poorly used fields overgrown with trees and bushes. 

We will go through the specifics of the data and the task itself, challenges we’ve encountered and how the system was put into production.

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Online Edition Online Edition .

Take me to the full program of Zum vollständigen Programm von Munich Munich .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Singapore Singapore .

This Session belongs to the Diese Session gehört zum Programm vom MunichMunich program. Take me to the program of . Hier geht es zum Programm von Berlin Berlin .

This Session Diese Session belongs to the gehört zum Programm von MunichMunich program. Take me to the current program of . Hier geht es zum aktuellen Programm von Online Edition Online Edition , Munich Munich , Singapore Singapore or oder Berlin Berlin .

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