This paper proposes a deep learning method for spatial data imputation, utilizing a CNN with residual connections to construct a regression model for missing value prediction. The introduction of ...

A series of early summer storms brought lake and reservoir levels up in San Antonio, though it still was not nearly enough to ...

Too little rain, too little water in the landscape—so simple, so serious. Even if the drought is obvious because freshwaters ...

Picking low-water, low-maintenance plants that thrive in your region is good for your bottom line and curb appeal.

Small mats of human hair line the base of plants, helping lock in moisture for crops in orchards around Chile that have been ...

A study led by the UAB and the CREAF shows that the loss of nitrogen from Arctic soil not only deprives plants of a vital ...

This data set contains gridded estimates of soil moisture in the top 1 cm of soil, averaged over the AMSR-E retrieval footprint. Soil moisture is estimated from AMSR-E/Aqua L2A brightness temperature ...

The estimates are of water fluxes, soil moisture and groundwaterstores in the Australian landscape, and are based on a model that simulates the flow of water through the land portion of the ...