Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure

Parallel Processing Strategies for Geospatial Data in a Cloud Computing Infrastructure

This paper is on the optimization of computing resources to process geospatial image data in a cloud computing infrastructure. Parallelization was tested by combining two different strategies: image tiling and multi-threading. The objective here was to get insight on the optimal use of available pro...

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Bibliographic Details
Main Authors: Pieter Kempeneers, Tomas Kliment, Luca Marletta, Pierre Soille
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Remote Sensing
Subjects:
high-throughput computing
cloud computing
satellite image processing
openEO
Online Access:https://www.mdpi.com/2072-4292/14/2/398

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