Detecting landfills using multi-spectral satellite images and deep learning methods

The cropping up of illegal landfills across the world and more so in developing countries has become a prevalent malice. It has become essential to come up with innovative solutions to this challenge, one that goes beyond detecting these spots manually. In recent times, remote sensing along with deep learning and computer vision has been applied to solve many problems. Through this paper, we would like to present a very high resolution Landfill dataset created from satellite images and demonstrate that by applying suitable deep learning methods, landfills can be detected even with a constrained and limited dataset. Through this paper we also make the Landfill dataset available to the research community