Data and codes for: Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance
L o a d i n g
Organization
Swiss Federal Institute of Aquatic Science and Technology (Eawag) - view all
Update frequencyunknown
Last updated3 weeks ago
OverviewHyperspectral data-cubeMonitoringUrban drainage systemsWastewater pollution
This package contains raw data, preprocessed data, and simulation results for the following manuscript: Lechevallier, P., Zhu, W., Shi, B., McCarthy, D., Rieckermann, J., 2025. Non-contact hyperspectral monitoring of urban wastewater quality: Optimization of model calibration and performance. Journal of Environmental Management 394, 127217. https://doi.org/10.1016/j.jenvman.2025.127217 This package also includes Python codes for data preprocessing, simulations, and the generation of manuscript figures and tables.
Additional Information
KeyValue
Harvest Object Id2ce2c0fa-c15d-44ad-befc-aceb07e53398
Harvest Source Idd0230d8d-fb2c-4caf-94e8-8ad52bd38ad9
Harvest Source TitleThe Eawag Research Data Institutional Repository
