Guía para la identificación de las áreas sembradas en palma de aceite, a partir del uso de la plataforma de Google Earth Engine (Estudio de caso: municipio de Maní – Casanare)

This document provides a comprehensive overview of the JavaScript code used within the Google Earth Engine (GEE) platform and serves as a Methodological Guide for the Identification of Oil Palm cultivation areas using supervised classification methods with Random Forest. The guide outlines detailed...

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Bibliographic Details
Main Author:	Mera Garzón, Diana Patricia
Other Authors:	Carvajal Vanegas, Andrés Felipe
Format:	Trabajo de grado (Pregrado y/o Especialización)
Language:	spa
Published:	Universidad Antonio Nariño 2024
Subjects:	JavaScript Random Forest Sentinel Planet Scope Inteligencia Artificial (IA) Artificial Intelligence (AI)
Online Access:	http://repositorio.uan.edu.co/handle/123456789/9095
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Description
Summary:	This document provides a comprehensive overview of the JavaScript code used within the Google Earth Engine (GEE) platform and serves as a Methodological Guide for the Identification of Oil Palm cultivation areas using supervised classification methods with Random Forest. The guide outlines detailed step-by-step procedures and recommends specific functions. Furthermore, the source code is made available to the public, simplifying access and enabling reproduction by other users of Geographic Information Systems (GIS).