FOSMEX: Forest Soil Moisture Experiments With Microwave Radiometry

The microwave Forest Soil Moisture Experiment (FOSMEX) was performed at a deciduous forest site at the Research Centre Julich (Germany). An L- and an X-band radiometer were mounted 100 m above ground and directed to the canopy. The measurements consist of dual- and single-polarized L- and X-band data and simultaneously recorded ground moisture, temperature, and meteorological data. The canopy L-band transmissivity was estimated from a subset of the FOSMEX data, where the ground was masked with a metalized foil. For the foliage-free canopy, the reflecting foil diminished the L-band brightness by ap24 K, whereas brightness increased by ap14 K when the foil was removed from below the foliated canopy. Depending on the assumption made on the scattering albedo of the canopy, the transmissivities were between 0.2 and 0.51. Furthermore, the contribution of the foliage was quantified. Although, the evaluation revealed the semitransparency of the canopy for L-band frequencies, the brightness sensitivity with respect to ground moisture was substantially reduced for all foliation states. The effect of ground surface moisture was explored in an irrigation experiment. The L-band measurements were only affected for a few hours until the water drained through the litter layer. This emphasizes the significance of the presence of litter for soil moisture retrieval from remotely sensed L-band brightness data. The FOSMEX database serves for further testing and improving radiative transfer models used for interpreting microwave data received from future spaceborne L-band radiometers flying over areas comprising a considerable fraction of deciduous forests.

[1]  Paolo Pampaloni,et al.  Microwave radiometry of forests , 2004 .

[2]  Christian Mätzler,et al.  Microwave transmissivity of a forest canopy: Experiments made with a beech , 1994 .

[3]  Paolo Ferrazzoli,et al.  Passive microwave remote sensing of forests: a model investigation , 1996, IEEE Trans. Geosci. Remote. Sens..

[4]  Christian Mätzler,et al.  ELBARA, the ETH L-band radiometer for soil-moisture research , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[5]  Y. Kerr,et al.  L-band Microwave Emission of the Biosphere (L-MEB) Model: Description and calibration against experimental data sets over crop fields , 2007 .

[6]  Jean-Pierre Wigneron,et al.  Simulating L-band emission of forests in view of future satellite applications , 2002, IEEE Trans. Geosci. Remote. Sens..

[7]  Thomas J. Jackson,et al.  Soil moisture mapping at regional scales using microwave radiometry: the Southern Great Plains Hydrology Experiment , 1999, IEEE Trans. Geosci. Remote. Sens..

[8]  Herbert M. Pickett,et al.  Characterization of a Dual-Mode Horn for Submillimeter Wavelengths (Short Papers) , 1984 .

[9]  Thomas Meissner,et al.  The complex dielectric constant of pure and sea water from microwave satellite observations , 2004, IEEE Transactions on Geoscience and Remote Sensing.

[10]  Martti Hallikainen,et al.  Satellite microwave radiometry of forest and surface types in Finland , 1988 .

[11]  R. Birdsey,et al.  National-Scale Biomass Estimators for United States Tree Species , 2003, Forest Science.

[12]  Jean-Pierre Wigneron,et al.  A forest geometric description of a maritime pine forest suitable for discrete microwave models , 2005, IEEE Transactions on Geoscience and Remote Sensing.

[13]  Simonetta Paloscia,et al.  Microwave polarization index for monitoring vegetation growth , 1988 .

[14]  C. Utku,et al.  ESTAR and model brightness temperatures over forests: effects of soil moisture , 2001, IGARSS 2001. Scanning the Present and Resolving the Future. Proceedings. IEEE 2001 International Geoscience and Remote Sensing Symposium (Cat. No.01CH37217).

[15]  Adrian K. Fung,et al.  A microwave scattering model for layered vegetation , 1992, IEEE Trans. Geosci. Remote. Sens..

[16]  Y. Kerr,et al.  A semiempirical model for interpreting microwave emission from semiarid land surfaces as seen from space , 1990 .

[17]  J. Wigneron,et al.  A field experiment on microwave forest radiometry: L-band signal behaviour for varying conditions of surface wetness , 2007 .

[18]  E. Sharkov Passive Microwave Remote Sensing of the Earth: Physical Foundations , 2004 .

[19]  Jean-Pierre Wigneron,et al.  Simulating L-band emission of coniferous forests using a discrete model and a detailed geometrical representation , 2006, IEEE Geoscience and Remote Sensing Letters.

[20]  Yann Kerr,et al.  Soil moisture retrieval from space: the Soil Moisture and Ocean Salinity (SMOS) mission , 2001, IEEE Trans. Geosci. Remote. Sens..

[21]  T. Schmugge Applications of passive microwave observations of surface soil moisture , 1998 .

[22]  A. P. Annan,et al.  Electromagnetic determination of soil water content: Measurements in coaxial transmission lines , 1980 .

[23]  Jan Vanderborght,et al.  Measured microwave radiative transfer properties of a deciduous forest canopy , 2007 .

[24]  Simonetta Paloscia,et al.  Airborne multifrequency L- to Ka-band radiometric measurements over forests , 2001, IEEE Trans. Geosci. Remote. Sens..

[25]  Thomas J. Jackson,et al.  Soil moisture retrieval from AMSR-E , 2003, IEEE Trans. Geosci. Remote. Sens..

[26]  W. J. Burke,et al.  Comparison of 2.8‐ and 21‐cm microwave radiometer observations over soils with emission model calculations , 1979 .

[27]  T. Schmugge,et al.  Passive microwave remote sensing system for soil moisture: some supporting research , 1989 .

[28]  Christian Mätzler,et al.  Thermal Microwave Radiation: Applications for Remote Sensing , 2006 .