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...

Full description

Autores:
Mera Garzón, Diana Patricia
Tipo de recurso:
Trabajo de grado de pregrado
Fecha de publicación:
2023
Institución:
Universidad Antonio Nariño
Repositorio:
Repositorio UAN
Idioma:
spa
OAI Identifier:
oai:repositorio.uan.edu.co:123456789/9095
Acceso en línea:
http://repositorio.uan.edu.co/handle/123456789/9095
Palabra clave:
JavaScript
Random Forest
Sentinel
Planet Scope
Inteligencia Artificial (IA)
JavaScript
Random Forest
Sentinel
Planet Scope
Artificial Intelligence (AI)
Rights
openAccess
License
Attribution 4.0 International (CC BY 4.0)
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).