Mapping and Monitoring Forest Plantations in São Paulo State, Southeast Brazil, Using Fraction Images Derived from Multiannual Landsat Sensor Images

Mapping and Monitoring Forest Plantations in São Paulo State, Southeast Brazil, Using Fraction Images Derived from Multiannual Landsat Sensor Images

This article presents a method, based on orbital remote sensing, to map the extent of forest plantations in São Paulo State (Southeast Brazil). The proposed method uses the random forest machine learning algorithm available on the Google Earth Engine (GEE) cloud computing platform. We used 30 m annu...

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Bibliographic Details
Main Authors: Yosio E. Shimabukuro, Egidio Arai, Gabriel M. da Silva, Andeise C. Dutra, Guilherme Mataveli, Valdete Duarte, Paulo R. Martini, Henrique L. G. Cassol, Danilo S. Ferreira, Luís R. Junqueira
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Forests
Subjects:
linear spectral mixing model
fraction images
eucalypt
pine
forest plantation
image processing
Online Access:https://www.mdpi.com/1999-4907/13/10/1716

Internet

https://www.mdpi.com/1999-4907/13/10/1716

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