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Author Artur Ricardo Bizon; Luciana P. de Araújo Kohler; Adilson Luiz Nicoletti; Fernanda Dal Bosco; Murilo Schramm da Silva; Thales Bohn Pessatti
Title Integration statistical systems for land cover mapping in Southern Brazil Type Conference Article
Year 2020 Publication ISCRAM 2020 Conference Proceedings – 17th International Conference on Information Systems for Crisis Response and Management Abbreviated Journal Iscram 2020
Volume Issue Pages (down) 498-505
Keywords Random Forest, Logistic Regression, Classifier, Google Earth Engine, Remote Sensing.
Abstract The remote sensing is a way to optimize the process of land cover classification allowing that this process will be by high definition images of satellite. For the research it was used the Google Earth Engine with JavaScript programming language to classify the images, identifying the areas with forest or reforest. It was identified that classifiers Random Forest and Logistic Regression have a high performance in classify the images. From them it was developed functions to process automatically of new images with purpose of classify them in relation to land cover.
Address Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau;Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau; Departamento de Engenharia Florestal -- Universidade Regional de Blumenau
Corporate Author Thesis
Publisher Virginia Tech Place of Publication Blacksburg, VA (USA) Editor Amanda Hughes; Fiona McNeill; Christopher W. Zobel
Language English Summary Language English Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 978-1-949373-27-47 ISBN 2411-3433 Medium
Track Geospatial Technologies and Geographic Information Science for Crisis Management (GIS) Expedition Conference 17th International Conference on Information Systems for Crisis Response and Management
Notes abizon@furb.br Approved no
Call Number Serial 2248
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