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. Hydrology and Earth System Sciences, 28(16):3799–3806, August, 2024.
Paper doi abstract bibtex Abstract. Evapotranspiration plays a key role in the terrestrial water cycle, climate extremes, and vegetation functioning. However, the understanding of spatio-temporal variability of evapotranspiration is limited by a lack of measurement techniques that are low cost and that can be applied anywhere at any time. Here we investigate the estimation of evapotranspiration and land surface energy-balance partitioning by only using observations made by smartphone sensors. Individual variables known to effect evapotranspiration as measured by smartphone sensors generally showed a high correlation with routine observations during a multiday field test. In combination with a simple multivariate regression model fitted on observed evapotranspiration, the smartphone observations had a mean RMSE of 0.10 and 0.05 mm h−1 during validation against lysimeter and eddy covariance observations, respectively. This is comparable to an error of 0.08 mm h−1 that is associated with estimating the eddy covariance ET from the lysimeter or vice versa. The results suggests that smartphone-based ET monitoring could provide a realistic and low-cost alternative for real-time ET estimation in the field.
@article{teuling_technical_2024,
title = {Technical note: {Investigating} the potential for smartphone-based monitoring of evapotranspiration and land surface energy-balance partitioning},
volume = {28},
copyright = {https://creativecommons.org/licenses/by/4.0/},
issn = {1607-7938},
shorttitle = {Technical note},
url = {https://hess.copernicus.org/articles/28/3799/2024/},
doi = {10.5194/hess-28-3799-2024},
abstract = {Abstract. Evapotranspiration plays a key role in the terrestrial water cycle, climate extremes, and vegetation functioning. However, the understanding of spatio-temporal variability of evapotranspiration is limited by a lack of measurement techniques that are low cost and that can be applied anywhere at any time. Here we investigate the estimation of evapotranspiration and land surface energy-balance partitioning by only using observations made by smartphone sensors. Individual variables known to effect evapotranspiration as measured by smartphone sensors generally showed a high correlation with routine observations during a multiday field test. In combination with a simple multivariate regression model fitted on observed evapotranspiration, the smartphone observations had a mean RMSE of 0.10 and 0.05 mm h−1 during validation against lysimeter and eddy covariance observations, respectively. This is comparable to an error of 0.08 mm h−1 that is associated with estimating the eddy covariance ET from the lysimeter or vice versa. The results suggests that smartphone-based ET monitoring could provide a realistic and low-cost alternative for real-time ET estimation in the field.},
language = {en},
number = {16},
urldate = {2024-11-26},
journal = {Hydrology and Earth System Sciences},
author = {Teuling, Adriaan J. and Holthuis, Belle and Lammers, Jasper F. D.},
month = aug,
year = {2024},
pages = {3799--3806},
}
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