Architecture for a Colombian data cube using satellite imagery for environmental applications

Germán Bravo, Harold Castro, Andrés Moreno, Christian Ariza-Porras, Gustavo Galindo, Edersson Cabrera, Saralux Valbuena, Pilar Lozano-Rivera

Producción: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

10 Citas (Scopus)

Resumen

SOLAP data cubes are a main tool to help on the processing of satellite imagery. This article presents the work developed for adapting an existing SOLAP Data Cube to the current Colombian Protocol for processing satellite images to analyze deforestation. We studied different technological alternatives to support such protocol and extend the capabilities of the Australian data cube to include the whole analysis process. In this way, it is possible for different institutions to produce and consume information to/from the data cube allowing the standardization of such information. In consequence, an institution can generate new results based on previous information generated for another institution, keeping the associated metadata along the whole process. This paper introduces the defined architecture, a first implementation and the first results obtained by IDEAM, the Colombian official institution responsible for the monitoring of deforestation in the country.

Idioma originalInglés
Título de la publicación alojadaAdvances in Computing - 12th Colombian Conference, CCC 2017, Proceedings
EditoresAndres Solano, Hugo Ordonez
EditorialSpringer Verlag
Páginas227-241
Número de páginas15
ISBN (versión impresa)9783319665610
DOI
EstadoPublicada - 2017
Publicado de forma externa
Evento12th Colombian Conference on Computing, CCC 2017 - Cali, Colombia
Duración: 19 sep. 201722 sep. 2017

Serie de la publicación

NombreCommunications in Computer and Information Science
Volumen735
ISSN (versión impresa)1865-0929

Conferencia

Conferencia12th Colombian Conference on Computing, CCC 2017
País/TerritorioColombia
CiudadCali
Período19/09/1722/09/17

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