Sub-Meter Remote Sensing of Soil Moisture Using Portable L-band Microwave Radiometer

TL;DR

This study evaluates the high-resolution soil moisture measurements obtained from a portable L-band radiometer (PoLRa), demonstrating its accuracy and potential as a ground reference for spaceborne soil moisture remote sensing.

Contribution

The paper introduces the use of a portable L-band radiometer for submeter soil moisture measurement and validates its performance against traditional methods, aligning with SMAP algorithms.

Findings

PoLRa provides stable brightness temperature measurements with less than 5 K standard deviation.

Soil moisture retrievals from PoLRa show high correlation (above 0.75) with TDR measurements.

PoLRa-derived soil moisture has low bias and error, confirming its accuracy.

Abstract

Spaceborne microwave passive soil moisture products are known for their accuracy but are often limited by coarse spatial resolutions. This limits their ability to capture finer soil moisture gradients and hinders their applications. The Portable L band radiometer (PoLRa) offers soil moisture measurements from submeter to tens of meters depending on the altitude of measurement. Given that the assessments of soil moisture derived from this sensor are notably lacking, this study aims to evaluate the performance of submeter soil moisture retrieved from PoLRa mounted on poles at four different locations in central Illinois, USA. The evaluation focuses on the consistency of PoLRa measured brightness temperatures from different directions relative to the same area, and the accuracy of PoLRa derived soil moisture. As PoLRa shares many aspects of the L band radiometer onboard the NASA Soil Moisture Active Passive (SMAP) mission, two SMAP operational algorithms and the conventional dual channel algorithm were applied to calculate soil moisture from the measured brightness temperatures. The vertically polarized brightness temperatures from the PoLRa are typically more stable than their horizontally polarized counterparts. In each test period, the standard deviations of observed dual polarization brightness temperatures are generally less than 5 K. By comparing PoLRa based soil moisture retrievals against the moisture values obtained by handheld time domain reflectometry, the unbiased root mean square error and the Pearson correlation coefficient are mostly below 0.04 and above 0.75, confirming the high accuracy of PoLRa derived soil moisture retrievals and the feasibility of utilizing SMAP algorithms for PoLRa data. These findings highlight the significant potential of ground or drone based PoLRa measurements as a standalone reference for future spaceborne L band sensors.