Global food security is one of the most pressing issues of the current century, particularly for
develo** nations. Agricultural simulation models can be a key component in testing new …

P-band radar remote sensing applied during the Airborne Microwave Observatory of
Subcanopy and Subsurface (AirMOSS) mission has shown great potential for estimation of …

In this study we analyzed two models commonly used in remote sensing-based root-zone
soil moisture (SM) estimations: one utilizing the exponential decaying function and the other …

Signals of opportunity reflectometry (SoOp-R), the reutilization of noncooperative satellite
transmissions for communication and navigation, is a promising approach to remote sensing …

Informational entropy can be used to elucidate some important relationships between
precipitation, evapotranspiration (ET), and discharge over a range of spatial and temporal …

In order to ensure sustainability in the agricultural sector and to meet global food needs, a
particularly important challenge for our time is to investigate the possibility of increasing …

The accuracy-based model performance metrics not necessarily reflect the qualitative
correspondence between simulated and measured streamflow time series. The objective of …

The principle of maximum entropy (POME) can be used to develop vertical soil moisture
(SM) profiles. The minimal inputs required by the POME model make it an excellent choice …

Profile soil water content (SWC) is a vital variable in the atmosphere-vegetation-soil system.
Although remote sensing currently can provide reliable surface SWC data (∼ 5 cm depth) …

Estimation of soil moisture distribution in desert regions is challenged by the deep
unsaturated zone and the extreme natural environment. In this study, an entropy-based …