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 ...

SMAP Level-4 (L4) surface and root zone soil moisture (L4_SM) data are provided in three products. The SMAP L4 Global 3-hourly 9 km EASE-Grid Surface and Root Zone Soil Moisture Geophysical Data ...

Data were acquired by the Passive and Active L- and S-band airborne sensor (PALS) during the 1999 Southern Great Plains (SGP99) experiment in Oklahoma to study remote sensing of soil moisture in ...

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 ...

Researchers at Purdue University are creating soil sensors that will gather that data to train AI. “Right now, a soil moisture sensor, you’d have about 1 of those per 100 acres.