Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/74687
Título: A badging system for reproducibility and replicability in remote sensing research
Autores/as: Frery, Alejandro C. 
Gomez, Luis 
Medeiros, Antonio C.
Clasificación UNESCO: 250616 Teledetección (Geología)
1206 Análisis numérico
Palabras clave: Remote sensing
Replicability
Reproducibility
Fecha de publicación: 2020
Publicación seriada: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 
Resumen: Remote Sensing is both an active research area and the source of valuable information for decision-making. Many actors play a fundamental role in Remote Sensing, from industry (public or private) to large or small research groups. From that intensive activity, methods, algorithms, and techniques are continuously published or broadcasted through papers, conference presentations, repositories, patents, standards, and other means. The consumers of that information need it to be readily available and dependable. Reproducible research can handle those needs. In this article, we discuss two concepts: reproducibility and replicability in the context of Remote Sensing research. We propose a badging system suited to the specifics of the Remote Sensing community. Such a system aims at both recognizing the level of the reproducibility of the research, and to help increase its visibility. We show examples of reproducible research and provide clues to make easier the transition to the inevitable new times that embrace contemporary science and technology.
URI: http://hdl.handle.net/10553/74687
ISSN: 1939-1404
DOI: 10.1109/JSTARS.2020.3019418
Fuente: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing [ISSN 1939-1404], v. 13, p. 4988-4995, (Enero 2020)
Colección:Artículos
miniatura
PDF
Adobe PDF (1,76 MB)
Vista completa

Citas SCOPUSTM   

28
actualizado el 24-nov-2024

Citas de WEB OF SCIENCETM
Citations

21
actualizado el 24-nov-2024

Visitas

140
actualizado el 27-ene-2024

Descargas

220
actualizado el 27-ene-2024

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.