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  • Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"
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  •   Home
  • Technische Universität Dresden
  • Bereiche
  • Bereich Bau und Umwelt
  • Fakultät Umweltwissenschaften
  • Fachrichtung Hydrowissenschaften
  • Institut für Grundwasserwirtschaft
  • Professur für Grundwasserwirtschaft
  • DFG-Sachbeihilfe "Effective contaminant source geometries and their implications for final plume extension - ESTIMATE" 2018 - 2020
  • Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"
  • View Item
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Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water"Open Access Icon

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Engelmann_et_al_201x_Water.zip (244.8Mb)
data-license.txt (CC-BY-4.0) (12.81Kb)
Date
2019
Author
Engelmann, Christian
Metadata
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Abstract
This data collection includes the Python script used for image processing and analysis as described in the article "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" by Engelmann et al. submitted to Journal "Water" in 2019. Exemplary raw images generated from laboratory-scale tank experiments for DNAPL migration are included as well.
URI
https://opara.zih.tu-dresden.de/xmlui/handle/123456789/1625
http://dx.doi.org/10.25532/OPARA-39
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  • Relevant Python scripts for the manuscript "Quantification of uncertainties from image processing and analysis in laboratory-scale DNAPL migration experiments evaluated by reflective optical imaging" in Journal "Water" [1]Open Access Icon

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