What is it about?
This paper describes a method to estimate the spatial information lost by measrement methods that utlize column integration. An atmospheric dispersion model is used in combination with a retrieval algorithm to find the best possible match between model and measured data and thereby estimating the 3D-plume.
Featured Image
Why is it important?
This method lets the user obtain additional and often crucial information regarding the 3D-distribution of a plume of chemicals.
Read the Original
This page is a summary of: Reconstructing chemical plumes from stand-off detection data of airborne chemicals using atmospheric dispersion models and data fusion, Pure and Applied Chemistry, June 2018, De Gruyter,
DOI: 10.1515/pac-2018-0101.
You can read the full text:
Contributors
The following have contributed to this page
