Skip to main navigation Skip to search Skip to main content

CDCol: A geoscience data cube that meets Colombian needs

  • Christian Ariza-Porras
  • , Germán Bravo
  • , Mario Villamizar
  • , Andrés Moreno
  • , Harold Castro
  • , Gustavo Galindo
  • , Edersson Cabera
  • , Saralux Valbuena
  • , Pilar Lozano
  • Universidad de los Andes Colombia
  • Instituto de Hidrología Meteorología y Estudios Ambientales (IDEAM)

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

29 Scopus citations

Abstract

Environmental analysts and researchers’ time is an expensive and scarce resource that should be used efficiently. Creating analysis products from remote sensing images involves several steps that take time and can be either automatized or centralized. Among all these steps, product’s lineage and reproducibility must be assured. We present CDCol, a geoscience data cube that addresses these concerns and fits the analysis needs of Colombian institutions, the forest and carbon monitoring system.

Original languageEnglish
Title of host publicationAdvances in Computing - 12th Colombian Conference, CCC 2017, Proceedings
EditorsAndres Solano, Hugo Ordonez
PublisherSpringer Verlag
Pages87-99
Number of pages13
ISBN (Print)9783319665610
DOIs
StatePublished - 2017
Externally publishedYes
Event12th Colombian Conference on Computing, CCC 2017 - Cali, Colombia
Duration: 19 Sep 201722 Sep 2017

Publication series

NameCommunications in Computer and Information Science
Volume735
ISSN (Print)1865-0929

Conference

Conference12th Colombian Conference on Computing, CCC 2017
Country/TerritoryColombia
CityCali
Period19/09/1722/09/17

Fingerprint

Dive into the research topics of 'CDCol: A geoscience data cube that meets Colombian needs'. Together they form a unique fingerprint.

Cite this