Description
This dataset contains observations made by smartphone and an additional handheld sensor in order to estimate evapotranspiration. These include luminence, surface temperature, air temperature, air pressure, relative humidity, and wind speed. The dataset also contains hourly routine meteorological observations, as well as evapotranspiration observations by a large weighing lysimeter and eddy covariance, all collected at the Büel meteorological station in the Rietholzbach catchment, which is operated by the Land-Climate Dynamics group at the Institute for Atmospheric and Climate Science (IAC), ETH Zurich. The smartphone observations were used to train a simple machine learning algorithm on the observed fluxes.
| Date made available | 16 Aug 2024 |
|---|---|
| Publisher | Wageningen University & Research |
| Geographical coverage | Rietholzbach catchment (Büel station) |
| Geospatial point | 47.3804,8.9935Show on map |
Research output
- 1 Article
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Technical note: Investigating the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning
Teuling, A. J., Holthuis, B. & Lammers, J. F. D., 22 Aug 2024, In: Hydrology and Earth System Sciences. 28, 16, p. 3799-3806 8 p.Research output: Contribution to journal › Article › Academic › peer-review
Open Access
Datasets
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Smartphone evapotranspiration field campaign data Rollesbroich
Teuling, A. (Creator) & Holthuis, B. (Creator), Wageningen University & Research, 31 May 2024
DOI: 10.4211/hs.15d457e46a5a4c1cb25c3afc9dbd77f7
Dataset
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