EPJ Web of Conferences
Volume 119, 2016The 27th International Laser Radar Conference (ILRC 27)
|Number of page(s)||4|
|Section||Poster Session (Advances in Lidar Technologies and Techniques III)|
|Published online||07 June 2016|
Data Flow of a Multiple Instrument On-Demand Processing Engine with Python and DPLKIT
The University of Wisconsin – Madison, 1225 W. Dayton St., Madison, WI 53706, USA
* Email: firstname.lastname@example.org
Published online: 7 June 2016
The University of Wisconsin LIDAR Group’s High Spectral Resolution LIDAR on-demand data website and processing codebase uses Python to explore coding techniques which facilitate a flexible codebase that is reusable for various outputs, cooperative multi-instrument products, and retains stability and maintainability without hindering dynamic experimentation.
© Owned by the authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.