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...
- 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)
| 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). |
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