Land surface temperature from Ka band (37 GHz) passive microwave observations

[1] An alternative to thermal infrared satellite sensors for measuring land surface temperature (Ts) is presented. The 37 GHz vertical polarized brightness temperature is used to derive Ts because it is considered the most appropriate microwave frequency for temperature retrieval. This channel balances a reduced sensitivity to soil surface characteristics with a relatively high atmospheric transmissivity. It is shown that with a simple linear relationship, accurate values for Ts can be obtained from this frequency, with a theoretical bias of within 1 K for 70% of vegetated land areas of the globe. Barren, sparsely vegetated, and open shrublands cannot be accurately described with this single channel approach because variable surface conditions become important. The precision of the retrieved land surface temperature is expected to be better than 2.5 K for forests and 3.5 K for low vegetation. This method can be used to complement existing infrared derived temperature products, especially during clouded conditions. With several microwave radiometers currently in orbit, this method can be used to observe the diurnal temperature cycles with surprising accuracy.

[1]  H. L. Penman Natural evaporation from open water, bare soil and grass , 1948, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[2]  T. Schmugge,et al.  An Empirical Model for the Complex Dielectric Permittivity of Soils as a Function of Water Content , 1980, IEEE Transactions on Geoscience and Remote Sensing.

[3]  B. Choudhury,et al.  Remote sensing of soil moisture content over bare field at 1.4 GHz frequency , 1981 .

[4]  T. Mo,et al.  A model for microwave emission from vegetation‐covered fields , 1982 .

[5]  Richard K. Moore,et al.  Microwave Remote Sensing, Active and Passive , 1982 .

[6]  S. Paloscia,et al.  Microwave Emission and Plant Water Content: A Comparison between Field Measurements and Theory , 1986, IEEE Transactions on Geoscience and Remote Sensing.

[7]  A. Fung,et al.  Microwave Remote Sensing Active and Passive-Volume III: From Theory to Applications , 1986 .

[8]  Eric A. Smith,et al.  Simulation of microwave brightness temperatures of an evolving hailstorm at SSM/I frequencies , 1990 .

[9]  W. Rossow,et al.  ISCCP Cloud Data Products , 1991 .

[10]  E. R. Major,et al.  Atmospheric effects on SMMR and SSM/I 37 GHz polarization difference over the Sahel , 1992 .

[11]  T. Herring,et al.  GPS Meteorology: Remote Sensing of Atmospheric Water Vapor Using the Global Positioning System , 1992 .

[12]  William B. Rossow,et al.  Comparison of ISCCP and Other Cloud Amounts , 1993 .

[13]  Manfred Owe,et al.  Determination of microwave vegetation optical depth and single scattering albedo from large scale soil moisture and Nimbus/SMMR satellite observations , 1993 .

[14]  M. Owe,et al.  Microwave vegetation optical depth and inverse modelling of soil emissivity using Nimbus/SMMR satellite observations , 1994 .

[15]  Jean-Pierre Wigneron,et al.  Microwave dielectric properties of a silt-loam at high frequencies , 1995, IEEE Trans. Geosci. Remote. Sens..

[16]  Giorgio Matteucci,et al.  Seasonal net carbon dioxide exchange of a beech forest with the atmosphere , 1996 .

[17]  E. Njoku,et al.  Passive microwave remote sensing of soil moisture , 1996 .

[18]  Anton Beljaars,et al.  Cabauw Data for the Validation of Land Surface Parameterization Schemes , 1997 .

[19]  Thomas R. Loveland,et al.  The IGBP-DIS global 1 km land cover data set , 1997 .

[20]  C. Kummerow,et al.  The Tropical Rainfall Measuring Mission (TRMM) Sensor Package , 1998 .

[21]  W. C. Snyder,et al.  Classification-based emissivity for land surface temperature measurement from space , 1998 .

[22]  M. Owe,et al.  On the relationship between thermodynamic surface temperature and high-frequency (37 GHz) vertically polarized brightness temperature under semi-arid conditions , 2001 .

[23]  Jeffrey P. Walker,et al.  A methodology for surface soil moisture and vegetation optical depth retrieval using the microwave polarization difference index , 2001, IEEE Trans. Geosci. Remote. Sens..

[24]  W. Oechel,et al.  FLUXNET: A New Tool to Study the Temporal and Spatial Variability of Ecosystem-Scale Carbon Dioxide, Water Vapor, and Energy Flux Densities , 2001 .

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

[26]  A. J. Dolman,et al.  The carbon uptake of a mid latitude pine forest growing on sandy soil , 2002 .

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

[28]  Michel Fily,et al.  A simple retrieval method for land surface temperature and fraction of water surface determination from satellite microwave brightness temperatures in sub-arctic areas , 2003 .

[29]  M. Owe,et al.  Further validation of a new methodology for surface moisture and vegetation optical depth retrieval , 2003 .

[30]  Dan Yakir,et al.  Carbon sequestration in arid‐land forest , 2003 .

[31]  Denis Loustau,et al.  The annual carbon budget of a French pine forest (Pinus pinaster) following harvest , 2003 .

[32]  J. Pereira,et al.  Constraints on transpiration from an evergreen oak tree in southern Portugal , 2004 .

[33]  P. Anthoni,et al.  Forest and agricultural land‐use‐dependent CO2 exchange in Thuringia, Germany , 2004 .

[34]  Carl J. Bernacchi,et al.  Carbon budget of mature no-till ecosystem in North Central Region of the United States , 2005 .

[35]  Richard de Jeu,et al.  Analytical derivation of the vegetation optical depth from the microwave polarization difference index , 2005, IEEE Geoscience and Remote Sensing Letters.

[36]  W. Verstraeten,et al.  Soil moisture retrieval using thermal inertia, determined with visible and thermal spaceborne data, validated for European forests , 2006 .

[37]  Axel Don,et al.  Exploring the functional significance of forest diversity: A new long-term experiment with temperate tree species (BIOTREE) , 2007 .

[38]  R. Jeu,et al.  Multisensor historical climatology of satellite‐derived global land surface moisture , 2008 .