This map was made for my dissertation project. The aim of my study was to identify illegal waste dumps around the settlements with UAVs at different flight heights and with different methods. I've created different rubbish categories (plastic, glass, paper, furniture waste, etc.) and I've used different methods to identify them. After using the image screening method (identifying the litter manually on the ortophoto maps), I've created a density map for every flight height. To test a basic machine learning method's accuracy, I've used supervised image classification, the SVM method (Support Vector Machine).
Density map of illegal waste dump
Tools used
AgisoftArcGIS ProArcMapQGIS
Plug-ins used
image classificationSupport Vector Machine (SVM)
tags
DronelitterPhotogrammetryUAV Waste
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