Near-surface air temperature (NSAT) is an important environmental parameter; however, there a lack of long-term, fine-scale NSAT products that offer complete spatiotemporal continuity. Although several available cover different periods and regions, obtaining gridded data outside the provided regions remains challenging. Using multiple source (ERA5-Land, GLDAS, remotely-sensed auxiliary factors)...

Drought is an extremely dangerous natural hazard that causes water crises, crop yield reduction, and ecosystem fires. Researchers have developed many drought indices based on ground-based climate data various remote sensing data. Ground-based are more accurate but limited in coverage; while the cover larger areas poor accuracy. Applying data-driven models to fuse multi-source for reproducing co...

Sea level rise is an important and topical issue in the South Pacific region needs urgent assessment of trends for informed decision making. This paper presents mean sea trend using harmonic analysis a hybrid deep learning (DL) model based on Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN) technique, Convolutional Neural Network (CNN), Gated Recurrent Unit (GRU) Nei...

• We propose a copula-based model for linking meteorological drought and soil moisture drought. Seasonal cumulative water deficit initial condition have different effects on propagation globally. South America is more vulnerable to agricultural under the of With probabilistic model, this study presents global view Meta-Gaussian three-dimensional vine copulas were employed construct bivariate tr...

Soil heat flux (G) is an important component for the closure of surface energy balance (SEB) and estimation evapotranspiration (ET) by remote sensing algorithms. Over last decades, efforts have been focused on parameterizing empirical models G prediction, based biophysical parameters estimated sensing. However, due to existing models’ nature restricted conditions in which they were developed, u...

The substantial reliance of South Asia (SA) to rain-based agriculture makes the region susceptible food scarcity due droughts. Previously, most research on SA has emphasized meteorological aspects with little consideration agrarian drought impressions. insufficient amount in situ precipitation data across also hindered thorough investigation sector. In recent times, models, satellite remote sen...

Despite the importance of Amu Darya and Kabul River Basins as a region in which more than 15 million people live, its vulnerability to global warming, only few studies addressed issue linkage meteorological parameters on vegetation for eastern basins Afghanistan. In this study, data from MODIS, Global Precipitation Measurement Mission (GPM), Land Data Assimilation System (GLDAS) was used period...

Land subsidence caused by excessive groundwater pumping in Central Valley, California, is a major issue that has several negative impacts such as reduced aquifer storage and damaged infrastructures which, turn, produce an economic loss due to the high reliance on crop production. This why it of utmost importance routinely monitor assess surface deformation occurring. Two main goals this paper a...