Soil moisture (SM) is a key hydrologic state variable that is of significant importance for
numerous Earth and environmental science applications that directly impact the global …

High-resolution daily evapotranspiration (ET) maps would greatly improve irrigation
management. Numerous ET map** algorithms have been developed to make use of …

To improve the prediction of crop yields at an aggregate scale, we developed a data
assimilation-crop modeling framework that incorporates remotely sensed soil moisture and …

Soil moisture refers to the water present in the uppermost part of a field soil and is a state
variable controlling a wide array of ecological, hydrological, geotechnical, and …

Quantification of groundwater recharge is one of the most important issues in hydrogeology,
especially in view of the ongoing changes in climate and land use. In this study, we use …

Soil information (eg, soil texture and porosity) from existing soil datasets over the Tibetan
Plateau (TP) is claimed to be inadequate and even inaccurate for determining soil hydraulic …

This paper aims to create supervised classification models of the soil water potential based
on hyperspectral data of Polish mineral soils (104 samples) from the Visible and Near …

There is great potential in Data Assimilation (DA) for the purposes of uncertainty
identification, reduction and real-time correction of hydrological models. This paper reviews …

Estimating genetic coefficients of a new rice cultivar is important when a crop model is used
to test its performance. Here, we estimated genetic coefficients of two rice genotypes in the …

A review of recent developments related to soil hydraulic property estimation using remote
sensing is presented. Several soil hydraulic parameter estimation techniques using proximal …