Smartphone evapotranspiration field campaign data

This collection 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 weighing lysimeters and eddy covariance, collected at various sites in The Netherlands, Germany, and Switzerland. The smartphone observations were used to train a simple machine learning algorithm on the observed fluxes.

本集合收录了由智能手机及附加手持传感器所采集的观测数据，旨在估算蒸散量。这些数据包括亮度、表面温度、空气温度、气压、相对湿度和风速。此外，数据集还包含每小时常规气象观测数据，以及通过称重蒸散计和涡度协方差法在不同地点收集的蒸散量观测数据，数据采集地点位于荷兰、德国和瑞士。智能手机观测数据被用于训练一个简单的机器学习算法，以对观测到的通量进行建模。