The application of remote sensing technology in grassland monitoring and management has
been ongoing for decades. Compared with traditional ground measurements, remote …

Grassland degradation has accelerated in recent decades in response to increased climate
variability and human activity. Rangeland and grassland conditions directly affect forage …

Among different reference evapotranspiration (ET o) modeling approaches, mass transfer-
based methods have been less studied. These approaches utilize temperature and wind …

Soil permeability is an important parameter for assessment of infiltration, runoff, ground
water, drainage and structures design. In the current research, five different data driven …

The present research work focused on predicting the electrical conductivity (EC) of surface
water in the Upper Ganga basin using four machine learning algorithms: multilayer …

Leaf area index (LAI) is an essential vegetation parameter that represents the light energy
utilization and vegetation canopy structure. As the only in-operation hyperspectral satellite …

One of the effective factors to ensure the desirable operation of drip irrigation systems is the
uniform emitter discharge, which is affected by operating pressure and temperature …

Rate of penetration (ROP) is a key factor in drilling optimization, cost reduction and drilling
cycle shortening. Due to the systematicity, complexity and uncertainty of drilling operations …

Leaf area index (LAI) is a crucial crop biophysical parameter that has been widely used in a
variety of fields. Five state-of-the-art machine learning regression algorithms (MLRAs) …

Wide field-of-view (FOV) sensors such as Sentinel-2 exhibit per-pixel view and illumination
geometry variation that may influence the retrieval accuracy of essential crop biophysical …