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Harmonized Multiresolution Geodata Cube for Efficient Raster Data Analysis and Visualization

Authors:
Lassi Lehto
Jaakko Kähkönen
Juha Oksanen
Tapani Sarjakoski

Keywords: raster data; multi-resolution; harmonisation; cloud service; visualization

Abstract:
The Data Cube concept provides a useful metaphor for management of raster geodata resources in the cloud. An initiative, called GeoCubes Finland, has been launched with the aim to facilitate access to geospatial raster data for academic research. The work is carried out in the context of a major research infrastructure development program in Finland. In the ingestion process, data sets are pre-processed into a harmonized, multiresolution cloud-based repository and brought into a common georeferencing frame, resolution levels, encoding format and tiling scheme. A custom Application Programming Interface (API) has been developed for flexible query, download and analysis of the repository’s content layers. Cloud-optimized access to pre-stored resolution levels supports efficient interactive visual exploration of analysis results computed on-the-fly.

Pages: 36 to 41

Copyright: Copyright (c) IARIA, 2020

Publication date: March 22, 2020

Published in: conference

ISSN: 2308-393X

ISBN: 978-1-61208-762-7

Location: Valencia, Spain

Dates: from November 21, 2020 to November 25, 2020