...
Sensorgegevens combineren met conventionele bemonsteringsgegevens
Gebruikte literatuur
Breiman, L. (2001) Random Forests. Machine Learning, 45, 5-32.
http://dx.doi.org/10.1023/A:1010933404324
Curceac, S. Hawkins, J., Harris, P., 2021.Advanced Quality Control Report 1: Missing value
imputation of the 15-minute soil moisture data.
https://rpubs.com/North_Wyke_Farm_Platform/765406
Hawkins, 2021. User guide to fine resolution (15 minute) data. Version 1.10.
http://resources.rothamsted.ac.uk/sites/default/files/groups/North_Wyke_Farm_Platform/FP_UG.Doc_.002_15MinData_ver1.10.pdf
Josse J. and F. Husson. 2016. missMDA: A Package for Handling Missing Values in
Multivariate Data Analysis. Journal of Statistical Software, 70(1), 1-31.
Schmidt, L., Schaefer, D., Geller, J., Lünenschloss, P., Palm, B. , Rinke, K., and Bumberger,
J. System for Automated Quality Control (Saqc) to Enable Traceable and Reproducible Data
Streams in Environmental Science. SSRN Electronic Journal.
http://dx.doi.org/10.2139/ssrn.4173698.
Spackman Jones, A., T.L. Jones, J. S. Horsburgh, 2022. Toward automating post processing
of aquatic sensor data. Environmental Modelling and Software 151.
Talagala, P. D., Hyndman, R. J., Leigh, C., Mengersen, K., & Smith-Miles, K. (2019). A
feature-based procedure for detecting technical outliers in water-quality data from in situ
sensors. Water Resources Research, 55, 8547– 8568.
https://doi.org/10.1029/2019WR024906
Zacharias, S., Bogena, H., Samaniego, L., Mauder, M., Fuß, R., Pütz, T., Frenzel, M.,
Schwank, M., Baessler, C., Butterbach-Bahl, K., et al., 2011. A network of terrestrial
environmental observatories in germany. Vadose zone journal 10, 955–973.
doi:10.2136/vzj2010.0139.
Zhang, Y. F., Thorburn, P. J., Xiang, W., & Fitch, P. (2019). SSIM—A deep learning approach
for recovering missing time series sensor data. IEEE Internet of Things Journal, 6(4), 6618-
6628.
Zhang, Y. & P.J. Thorburn, 2021. A dual-head attention model for time series data imputation,
Comput. Electron. Agric. 189, http://dx.doi.org/10.1016/j.compag.2021.106377.
Zhang, Y. & P. J. Thorburn, 2022. Handling missing data in near real-time environmental
monitoring: A system and a review of selected methods. Future Generation Computer
Systems 128.
Vilas, M. P., P. J. Thorburn, S. Fielke, T. Webster, M. Mooij, J. S. Biggs, Y.F. Zhang, A.
Adham, A. Davis, B. Dungan, R. Butler, P. Fitch, 2020. 1622WQ: A web-based application to
increase farmer awareness of the impact of agriculture on water quality. Environmental
Modelling & Software 132. https://doi.org/10.1016/j.envsoft.2020.104816