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Through the inadequate anthropic actions over the years in the hydrographic basin of the upper course of the Paraíba River, where it has been undergoing changes in the ecosystem. Geotechnologies have contributed in the researches, providing the incorporation of information of the natural systems. The objective of this work was to classify the current land use and land cover. Five supervised classification classifiers available on Google Earth Engine were used. The results showed that two classifiers based on Decision Tree Classification and Regression Trees (CART) and Random Forest (RF)…mehr

Produktbeschreibung
Through the inadequate anthropic actions over the years in the hydrographic basin of the upper course of the Paraíba River, where it has been undergoing changes in the ecosystem. Geotechnologies have contributed in the researches, providing the incorporation of information of the natural systems. The objective of this work was to classify the current land use and land cover. Five supervised classification classifiers available on Google Earth Engine were used. The results showed that two classifiers based on Decision Tree Classification and Regression Trees (CART) and Random Forest (RF) performed excellent results, however the classifier (CART) stood out for both the best indexes and visual inspection. GEE proved to be a very effective platform for mapping land use and land cover in the area.
Autorenporträt
Dottorando in Ingegneria di processo. Master del programma post-laurea Stricto Sensu in Sistemi Agroindustriali - PPGSA/Modalità Accademica; Post-laurea in Georeferenziazione delle Proprietà Rurali. Formazione accademica in Ingegneria ambientale presso l'Università Federale di Campina Grande - CCTA, Pombal Campus-PB.