Effect of Structural Uncertainty in Passive Microwave Soil Moisture Retrieval Algorithm.

ABSTRACT: Passive microwave sensors use a radiative transfer model (RTM) to retrieve soil moisture (SM) using brightness temperatures (T_B) at low microwave frequencies. Vegetation optical depth (VOD) is a key input to the RTM. Retrieval algorithms can analytically invert the RTM using dual-polarized T_B measurements to retrieve the VOD and SM concurrently. Algorithms in this regard typically use the τ-ω types of models, which consist of two third-order polynomial equations and, thus, can have multiple solutions. Through this work, we find that uncertainty occurs due to the structural indeterminacy that is inherent in all τ-ω types of models in passive microwave SM retrieval algorithms. In the process, a new analytical solution for concurrent VOD and S

SUBMITTER: Karthikeyan L 

PROVIDER: S-EPMC7070557 | biostudies-literature | 2020 Feb

REPOSITORIES: biostudies-literature