Open source MODIS satellite offers near-infrared (NIR) data at four times higher spatial resolution (250 m) than compared to thermal infrared (TIR) data (1000 m), respectively. In this study, MODIS Terra satellite’s material surface temperature (MST) images have been enhanced to the spatial resolution of 250 m, by utilizing the Kriging regression (KR) technique. The applicability of enhanced MST image has been evaluated for agricultural drought analysis and soil moisture mapping. The downscaling results of Terra MODIS MST by KR have shown that the enhanced MST images contain more detailed and precise information of Earth’s surface features. The difference in temperature variance (μ*) and standard deviation (σ*) of enhanced MST image been almost insignificant i.e., less than (0.03), which, suggests excellent working of the KR downscaling model. The Correlation coefficient (R2) of 0.92, and Q-index of 0.84, respectively, signifies a good level of agreement between enhanced and original MST images. The enhanced drought and soil moisture maps at 250 m spatial resolution have revealed a higher intra-pixel variation compared to initial image of 1000 m spatial resolution. This methodology will be useful for regional level management of agricultural practices through thermal properties surface materials.