LAUSR

Using the U-net convolutional network to map forest types and disturbance in the Atlantic rainforest with very high resolution images Fabien H. Wagner, Alber Sanchez, Yuliya Tarabalka, Rodolfo G. Lotte, Matheus P. Ferreira, Marcos P. M. Aidar, Emanuel Gloor, Oliver L. Phillips & Luiz E. O. C. Arag~ ao Remote Sensing Division, National Institute for Space Research INPE, S~ao Jos e dos Campos SP, 12227-010, Brazil Inria Sophia Antipolis, Cedex Sophia Antipolis, 06902, France Luxcarta Technology, Parc d’Activit e l’Argile, Lot 119b, Mouans Sartoux 06370, France Cartography Engineering Section, Military Institute of Engineering IME, Prac a Gen. Tib urcio 80, Rio de Janeiro RJ, 22290-270, Brazil Department of Plant Physiology and Biochemistry, Institute of Botany, PB 4005, S~ao Paulo CEP 01061-970, Brazil Ecology and Global Change, School of Geography, University of Leeds, Leeds LS2 9JT, UK College of Life and Environmental Sciences, University of Exeter, Exeter EX4 4RJ, UK