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

  title={Sensitivity of satellite microwave and infrared observations to soil moisture at a global scale: Relationship of satellite observations to in situ soil moisture measurements},
  author={Catherine Prigent and Filipe Aires and William B. Rossow and Alan Robock},
  journal={Journal of Geophysical Research},
[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 SMOS- and HYDROS-dedicated missions they are the only potential sources of global soil moisture measurements. The satellite observations include passive microwave emissivities, active microwave scatterometer data, and infrared… 

Figures and Tables from this paper

Coupled land surface and radiative transfer models for the analysis of passive microwave satellite observations

Soil moisture is one of the key variables controlling the water and energy exchanges between Earth’s surface and the atmosphere. Therefore, remote sensing based soil moisture information has

Multiscale analysis of soil moisture using satellite and aircraft microwave remote sensing, in situ measurements and numerical modelling

The Soil Moisture and Ocean Salinity (SMOS) mission has been launched by the European Space Agency (ESA) in November 2009. It is the worldwide first satellite dedicated to retrieve soil moisture

Regional soil moisture retrievals and simulations from assimilation of satellite microwave brightness temperature observations

Low-frequency microwave satellite observations are sensitive to land surface soil moisture (SM). Using satellite microwave brightness temperature observations to improve SM simulations of numerical

On the efficacy of combining thermal and microwave satellite data as observational constraints for root-zone soil moisture estimation.

Abstract Data assimilation applications require the development of appropriate mathematical operators to relate model states to satellite observations. Two such “observation” operators were developed

Inferring soil moisture variability in the Mediterrean Sea area using infrared and passive microwave observations

The objective of this study was to infer soil moisture variability from a combination of passive microwave and infrared satellite observations. The proposed approach is mainly based on the concept of

A Method to Rebuild Historical Satellite-Derived Soil Moisture Products Based on Retrievals from Current L-Band Satellite Missions

Validations based on b-parameter values derived from both field-sampled soil moisture with noises added and the actual SMOS products indicate that the method can be applied to the observations from the Advanced Microwave Scanning Radiometer for the Earth Observing System or similar sensors and help to rebuild historical soil moisture data sets with a root-mean-square error less than 0.04 m3/m3.

A New Retrieval Algorithm for Soil Moisture Index from Thermal Infrared Sensor On-Board Geostationary Satellites over Europe and Africa and Its Validation

A new retrieval algorithm for daily soil moisture monitoring based only on the land surface temperature observations derived from the METEOSAT second generation geostationary satellites is designed and assessed, which could reveal a good complementarity to an improved monitoring system.

Toward an estimation of global land surface heat fluxes from multisatellite observations

[1] The sensitivity of a suite of satellite observations to land surface heat fluxes and the estimation of satellite-derived fluxes using a statistical model are investigated. The satellite data

Application of satellite microwave remote sensed brightness temperature in the regional soil moisture simulation

Abstract. As the satellite microwave remote sensed brightness temperature is sensitive to land surface soil moisture (SM) and SM is a basic output variable in model simulation, it is of great



Global Soil Moisture from Satellite Observations, Land Surface Models, and Ground Data: Implications for Data Assimilation

Abstract Three independent surface soil moisture datasets for the period 1979–87 are compared: 1) global retrievals from the Scanning Multichannel Microwave Radiometer (SMMR), 2) global soil moisture

A soil‐canopy‐atmosphere model for use in satellite microwave remote sensing

Regional and global scale studies of land-surface-atmosphere interactions require the use of observations for calibration and validation. In situ field observations are not representative of the

Satellite remote sensing of soil moisture in Illinois, United States

To examine the utility of using satellite passive microwave observations to measure soil moisture over large regions, we conducted a pilot study using the scanning multichannel microwave radiometer

Joint characterization of vegetation by satellite observations from visible to microwave wavelengths: A sensitivity analysis

This study presents an evaluation and comparison of visible, near-infrared, passive and active microwave observations for vegetation characterization, on a global basis, for a year, with spatial

Determining Soil Moisture from Geosynchronous Satellite Infrared Data: A Feasibility Study

Abstract In the absence of a current capability for global routine daily soil moisture observation, an infrared technique using existing instrumentation is sought. Numerical modeling results are

Soil moisture and TRMM microwave imager relationships in the Southern Great Plains 1999 (SGP99) experiment

  • T. JacksonA. Hsu
  • Environmental Science, Mathematics
    IEEE Trans. Geosci. Remote. Sens.
  • 2001
Comparing satellite data collected by the Tropical Rainfall Measuring Mission (TRMM) microwave imager (TMI) and the special sensor microwave/imager (SSM/I) were compared to soil moisture observations as part of the Southern Great Plains (SGP) 1999 Experiment revealed that only sampling areas with adequate spatial domains should be used for soil moisture validation.

A time series based method for estimating relative soil moisture with ERS wind scatterometer data

The radar backscattering coefficient is mainly determined by surface soil moisture, vegetation and land surface roughness under a given configuration of the satellite sensor. It is observed that the

Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission

The goal of this paper is to present the main aspects of the baseline mission and describe how soil moisture will be retrieved from SMOS data.

Global maps of microwave land surface emissivities: Potential for land surface characterization

Microwave land surface emissivities are derived from special sensor microwave imager (SSM/I) observations. Cloud‐free SSM/I observations are first isolated with the help of collocated

Thermal remote sensing of surface soil water content with partial vegetation cover for incorporation into climate models

Abstract This study outlines a method for the estimation of regional patterns of surface moisture availability (M0) and fractional vegetation (Fr) in the presence of spatially variable vegetation