Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability

Using remotely sensed soil moisture for land–atmosphere coupling diagnostics: The role of surface vs. root-zone soil moisture variability

Mapping Root Zone Soil Moisture Using Remotely Sensed Optical Imagery

Field-based soil moisture measurements are cumbersome. Remote sensing techniques based on active or passive microwave data have limitations. This paper presents and validates a new method based on land surface energy balances using remotely sensed optical data ~including thermal infrared!, which allows field and landscape-scale mapping of soil moisture depth-averaged through the root zone of ex...

Uncertainty Characterisation in Remotely Sensed Soil Moisture

Cover: A convective thunderstorm arrives near the small town of Hombori (Mali) during the AMMA field campaign (August 2005). This region is located in the Sahel, a transition zone between the Sahara and the Sudanian Savannas and stretches across the African continent. In this region, the spatial distribution of soil moisture affects the regional climate system including the spatial distribution...

Remotely-sensed and modelled surface soil moisture at high latitudes

Introduction Conclusions References

An unmixing algorithm for remotely sensed soil moisture

[1] We present an unmixing method, based on genetic algorithm-soil-vegetationatmosphere-transfer modeling to extract subgrid information of soil and vegetation from remotely sensed soil moisture (downscaled; e.g., soil hydraulic properties, area fractions of soil-vegetation combinations, and unmixed soil moisture time series) that most land surface models use. The unmixing method was evaluated ...