Soil moisture is very much suitable in drought applications, particularly for farming and cultivation, and also enables identification of flood inundation, or wet antecedent conditions that favour subsequent flooding. However, soil moisture is highly variable in time and space, being driven by a range of factors that act at different scales, such as topography, soil properties, vegetation, and climate drivers. The impact of soil moisture measurements on long-term terrestrial water cycle trends, drought processes, short-term weather prediction, stream-flow generation mechanisms has historically been marginalized by the relative scarcity of long-term, large-scale soil moisture data sets. Within the past 20 years, however, this observational gap has been progressively filled by the parallel development of remote sensing technologies.
These analysis and its interpretation can be useful for Water as well as agricultural practices. Remotely sensed data application can also leads a change towards measurement techniques after successful field validations and local level corrections.
