Mapping Pinus spp. Forestry and Land Cover Classes Using High-resolution PlanetScope Satellite Data: Experimenting Images from Different Seasons and Machine Learning Methods

Mapping Pinus spp. Forestry and Land Cover Classes Using High-resolution PlanetScope Satellite Data: Experimenting Images from Different Seasons and Machine Learning Methods

The Remote Sensing and machine learning techniques are cost-effective ways of mapping land use and cover, especially forestry areas. This is essential for the management and planning of such resources. The purpose of this study was to identify which classifier (Random Forest or Support Vector Machi...

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Bibliographic Details
Main Authors: Andressa Kossmann Ferla, Fabio Marcelo Breunig, Rafaelo Balbinot, Ricardo Dal'Agnol da Silva
Format: Article
Language:English
Published: Universidade Federal de Uberlândia 2023-12-01
Series:Revista Brasileira de Cartografia
Subjects:
Mapping
Pine
Machine Learning
GIS
Remote Sensing
Online Access:https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/67769

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https://seer.ufu.br/index.php/revistabrasileiracartografia/article/view/67769

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