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| Type: | Resource | |
| Storage: | The size of this resource is 240.3 KB | |
| Created: | May 31, 2024 at 10:17 a.m. (UTC) | |
| Last updated: | Aug 16, 2024 at 1:10 p.m. (UTC) (Metadata update) | |
| Published date: | Aug 16, 2024 at 1:10 p.m. (UTC) | |
| DOI: | 10.4211/hs.15d457e46a5a4c1cb25c3afc9dbd77f7 | |
| Citation: | See how to cite this resource |
| Sharing Status: | Published |
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| Views: | 1515 |
| Downloads: | 52 |
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Abstract
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 set of 6 weighing lysimeters and eddy covariance, all collected at the Rollesbroich TERENO site, which is operated by the Institute of Bio- and Geosciences of FZ Julich. The smartphone observations were used to train a simple machine learning algorithm on the observed fluxes.
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| Title | Owners | Sharing Status | My Permission |
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| Smartphone evapotranspiration field campaign data | Adriaan J. Teuling · CUAHSI Publisher | Published | Open Access |
How to Cite
This resource is shared under the Creative Commons Attribution CC BY.
http://creativecommons.org/licenses/by/4.0/
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