Towards better understanding of sand harvesting and sustainability in Rwanda: an accessible deep learning approach with very high resolution imagery on a county scale

Huang, Ke

Towards better understanding of sand harvesting and sustainability in Rwanda: an accessible deep learning approach with very high resolution imagery on a county scale

Ke Huang^1,2, Rasmus Fensholt², Niels Strange¹, Martin Brandt², Maurice Mugabowindekwe², Joy Zhou³, Nakiya Noorbhai³, Bernard Musana⁴, Jean de Dieu Nzabonimpa⁵ and Mette Bendixen³, (1)University of Copenhagen, Department of Food and Resource Economics, København K, Denmark, (2)University of Copenhagen, Department of Geosciences and Natural Resource Management, København K, Denmark, (3)McGill University, Department of Geography, Montreal, QC, Canada, (4)Rwanda Agriculture and Animal Resources Development Board, Kigali, Rwanda, (5)Institute of Applied Sciences Ruhengeri, Ruhengeri, Rwanda