Processing LiDAR Data with the Cloud

SDSC temp_flash

Well, thanks to Tina Carey it appears that at least one group is researching the possible benefits of using massive clusters of computers – the Cloud to process LiDAR data. The SDSC – the San Diego Supercomputer Center has received funding from the National Science Foundation. Described as “massive spatial data sets”, they are high-resolution topographic data obtained with airborne LiDAR.

I understand that one industry insider when asked about the potential benefits of leveraging the Cloud did not believe that it made sense for most of today’s workflows. In any case I am just relieved to know that the 3D laser scanning industry is somehow linked to the Cloud.

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2 Responses to Processing LiDAR Data with the Cloud

  1. ccrosby says:

    Thanks for taking note of this project. The fundamental goal of the research is to compare cloud-based data management, access, and processing strategies to database systems. We are specifically focused on large, community-oriented, scientific data sets. LiDAR is an interesting test case because of the data volumes and on-demand access our users require, but ultimately the strategies developed in this work could be applied to all types of scientific data. More information on the project is available here: http://www.opentopography.org/index.php/cloudstor/

    -cc

  2. Pingback: Large Datasets in Geospatial: What’s the Solution? | It's All About Data

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