Sensitivity of GNSS-R Spaceborne Observations to Soil Moisture and Vegetation

Sensing Bare Soil and Vegetation Using GNSS-R— Theoretical Modeling

Interactive comment on “Use of GNSS SNR data to retrieve soil moisture and vegetation variables

This paper presents a case study applying GNSS signals, which were reflected on the ground surface (soil, vegetation surface) to derive soil moisture and vegetation height data over a wheat crop field. The GPS antenna was installed at a height of 2.51 m. Soil moisture was retrieved as long as the vegetation height was lower than ∼20 cm. However, with a further increase in plant height, it was n...

Use of GNSS SNR data to retrieve soil moisture and vegetation variables over a wheat crop

This work aims to estimate soil moisture and vegetation characteristics from Global Navigation Satellite System (GNSS) Signal to Noise Ratio (SNR) data using direct and reflected signals by the land surface surrounding a ground-based antenna. Observations are collected over a rainfed wheat field in southwestern France. The retrievals are compared with two independent reference datasets: in situ...

Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements

[1] This study presents a systematic and integrated analysis of the sensitivity of the available satellite observations to in situ soil moisture measurements. Although none of these satellites is optimized for land surface characterization, before the launches of the SMOSand HYDROS-dedicated missions they are the only potential sources of global soil moisture measurements. The satellite observa...

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

The importance of land surface-atmosphere interactions, principally the effects of soil moisture, on hydrological, meteorological, and ecological processes has gained widespread recognition over recent decades. Its high spatial and temporal variability however, makes soil moisture a difficult parameter to measure and monitor effectively using traditional methods. Microwave remote sensing techno...