Abstract: Using Convolutional Network to Identify Tree Species Related to Forest Disturbance in a Neotropical Forest with very high resolution multispectral images (AGU Fall Meeting 2018)

Using Convolutional Network to Identify Tree Species Related to Forest Disturbance in a Neotropical Forest with very high resolution multispectral images

Fabien Hubert Wagner¹, Alber Sanchez², Yuliya Tarabalka³, Rodolfo G Lotte², Matheus P Ferreira², Marcos PM Aidar⁴, Manuel Gloor⁵, Oliver L. Phillips⁵ and Luiz Aragao⁶, (1)University of California Los Angeles, Los Angeles, United States, (2)INPE National Institute for Space Research, DSR, Sao Jose dos Campos, Brazil, (3)INRIA, Sophia Antipolis, France, (4)Institute of Botany, Department of Plant Physiology and Biochemistry, São Paulo, Brazil, (5)University of Leeds, School of Geography, Leeds, United Kingdom, (6)INPE National Institute for Space Research, Remote Sensing Division, Sao Jose dos Campos, Brazil

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