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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
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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