Mapping Tropical Forest Degradation using High-Resolution Planet NICFI Satellite Imagery and Deep Learning
Mapping Tropical Forest Degradation using High-Resolution Planet NICFI Satellite Imagery and Deep Learning
Ricardo Dalagnol1, Fabien Hubert Wagner2, Daniel Braga3, Polyanna da Conceição Bispo4, Matt Payne5, Vinicius Silgueiro6, Celso Silva Junior1, Samuel Favrichon7, Yan Yang8, Katherine Cushman7, Griffin Carter9, Alison L Ritz10, Liana O Anderson11, Luiz E. O. C. Aragão12 and Dr. Sassan Saatchi13, (1)University of California Los Angeles, Los Angeles, CA, United States, (2)University of California Los Angeles, Los Angeles, United States, (3)National Institute for Space Research (INPE), Sao Jose dos Campos, Brazil, (4)Centre for Landscape and Climate Research (CLCR), National Centre for Earth Observation (NCEO), School of Geography, Geology and Environment, University of Leicester, Leicester, United Kingdom, (5)University of Leicester, Leicester, United Kingdom, (6)Instituto Centro de Vida (ICV), Cuiabá, Brazil, (7)JPL/NASA/Caltech, Pasadena, United States, (8)Jet Propulsion Laboratory, California Institute of Technology, Pasadena, United States, (9)CTREES.org, Pasadena, United States, (10)Virginia Polytechnic Institute and State University, Interdisciplinary Graduate Education Program in Remote Sensing, Blacksburg, United States, (11)University of Oxford, Oxford, United Kingdom, (12)National Institute for Space Research, São José dos Campos, Brazil, (13)NASA Jet Propulsion Laboratory, Pasadena, United States