Estimating Leaf Water Content through Low-Cost LiDAR

Towards Estimating Leaf Water Content through Hyperspectral Data

Effective Calibration of Low-Cost Soil Water Content Sensors

Soil water content is a key variable for understanding and modelling ecohydrological processes. Low-cost electromagnetic sensors are increasingly being used to characterize the spatio-temporal dynamics of soil water content, despite the reduced accuracy of such sensors as compared to reference electromagnetic soil water content sensing methods such as time domain reflectometry. Here, we present...

Measuring Snow Liquid Water Content with Low-Cost GPS Receivers

The amount of liquid water in snow characterizes the wetness of a snowpack. Its temporal evolution plays an important role for wet-snow avalanche prediction, as well as the onset of meltwater release and water availability estimations within a river basin. However, it is still a challenge and a not yet satisfyingly solved issue to measure the liquid water content (LWC) in snow with conventional...

Water stress of sugarbeet as related to leaf and canopy temperatures and to leaf Water content

Estimating canopy water content from spectroscopy

Canopy water content is a dynamic quantity that depends on the balance between water losses from transpiration and water uptake from the soil. Absorption of shortwave radiation by water is determined by various frequencies that match overtones of fundamental bending and stretching molecular transitions. Leaf water potential and relative water content are important variables for determining wate...