Field evaluation of semi-automated moisture estimation from geophysics using machine learning.

ABSTRACT: Geophysical methods can provide three-dimensional (3D), spatially continuous estimates of soil moisture. However, point-to-point comparisons of geophysical properties to measure soil moisture data are frequently unsatisfactory, resulting in geophysics being used for qualitative purposes only. This is because (1) geophysics requires models that relate geophysical signals to soil moisture, (2) geophysical methods have potential uncertainties resulting from smoothing and artifacts introduced from processing and inversion, and (3) results from multiple geophysical methods are not easily combined within a single soil moisture estimation framework. To investigate these potential limitations, an irrigation experiment was performed wherein soil moisture was monitored through time, and several surf

SUBMITTER: Terry N 

PROVIDER: S-EPMC10494895 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature