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Smartphone evapotranspiration field campaign data Rietholzbach

Dataset

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 available16 Aug 2024
PublisherWageningen University & Research
Geographical coverageRietholzbach catchment (Büel station)
Geospatial point47.3804,8.9935Show on map

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