#hack4good 0.6 Amsterdam Jorge Sáez Gómez Sicco van Sas Marc de Ruijter Nivek Yarrum (Kenya)
#Hack4good 0.6 PalmDetective
Dec 02, 2014
#hack4good Amsterdam 1st Place Winner
The problem: the exact locations of (illegal) oil palm plantations are largely unknown.
Our solution: Automatic Oil Palm Detection from Satellite Images
In 48 hours we’ve build a working system that automatically detects oil palm plantations from satellite images. There will still be classification errors which will be fixed by a fun crowdsourcing app based on Google Maps where people can go over the maps and correct any remaining misclassifications.
The problem: the exact locations of (illegal) oil palm plantations are largely unknown.
Our solution: Automatic Oil Palm Detection from Satellite Images
In 48 hours we’ve build a working system that automatically detects oil palm plantations from satellite images. There will still be classification errors which will be fixed by a fun crowdsourcing app based on Google Maps where people can go over the maps and correct any remaining misclassifications.
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#hack4good 0.6 Amsterdam
Jorge Sáez GómezSicco van SasMarc de RuijterNivek Yarrum (Kenya)
Our progress1. System already solves 66% of the problem2. We need YOU to improve our system!
Next steps 1. Improving the algorithms2. Pressure satellite image suppliers3. Check which plantations are illegal4. Apply to other crops
Thank you!
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