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 (SMMR) on Nimbus-7, which operated from 1978 to 1987, and actual in situ soil moisture observations from the state of Illinois, United States, which began in 1981. We examined SMMR midnight microwave brightness temperatures on a 0.5° × 0.5° grid, and compared them with direct soil moisture measurements at 14 sites in Illinois for the period 1982–1987. The results suggest that both the polarization difference and the microwave emissivity for horizontal polarization at frequencies ≤18 GHz have real utility for use as a soil moisture information source in regions with grass or crops where the vegetation is not too dense. While SMMR observations ended in 1987, special sensor microwave/imager observations at 19 GHz start then and extend to the present, and advanced microwave scanning radiometer instruments will fly on satellites beginning soon. Together with SMMR, they have the potential to produce a soil moisture record over large regions for more than two decades and extend it into the future. Satellite observations from these low-resolution satellite instruments measure the component of large-scale long-term soil moisture variability that is related to atmospheric forcing (from precipitation, evapotranspiration, and snowmelt).

[1]  S. Idso,et al.  The utility of surface temperature measurements for the remote sensing of surface soil water status , 1975 .

[2]  P. Gloersen,et al.  A scanning multichannel microwave radiometer for Nimbus-G and SeaSat-A , 1977, IEEE Journal of Oceanic Engineering.

[3]  T. J. Schmugge,et al.  Satellite microwave observations of soil moisture variations , 1977 .

[4]  B. Choudhury,et al.  Effect of surface roughness on the microwave emission from soils , 1979 .

[5]  T. Schmugge,et al.  A hydrological analysis of east Australian floods using Nimbus-5 electrically scanning radiometer data , 1979 .

[6]  Bruce J. Blanchard,et al.  Correlation of spacecraft passive microwave system data with soil moisture indices (API). [Southern Great Plains States: Oklahoma and Kansas] , 1979 .

[7]  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.

[8]  E. Njoku,et al.  The Seasat scanning multichannel microwave radiometer (SMMR): Antenna pattern corrections - Development and implementation , 1980, IEEE Journal of Oceanic Engineering.

[9]  E. Njoku,et al.  The Seasat scanning multichannel microwave radiometer (SMMR): Instrument description and performance , 1980, IEEE Journal of Oceanic Engineering.

[10]  T. Carlson,et al.  Regional‐Scale Estimates of Surface Moisture Availability from GOES Infrared Satellite Measurements1 , 1984 .

[11]  G. Wilke Multispectral Passive Microwave Correlations with an Antecedent Precipitation Index Using the Nimbus 7 SMMR. , 1984 .

[12]  F. Ulaby,et al.  Microwave Dielectric Behavior of Wet Soil-Part II: Dielectric Mixing Models , 1985, IEEE Transactions on Geoscience and Remote Sensing.

[13]  James R. Wang Effect of vegetation on soil moisture sensing observed from orbiting microwave radiometers , 1985 .

[14]  G. Vachaud,et al.  Temporal Stability of Spatially Measured Soil Water Probability Density Function , 1985 .

[15]  Application of thermal infrared remote sensing in water management of humid and arid areas , 1986 .

[16]  T. Carlson Regional‐scale estimates of surface moisture availability and thermal inertia using remote thermal measurements , 1986 .

[17]  T. Carlson,et al.  Estimation of Surface Moisture Availability From Remote Temperature Measurements , 1987 .

[18]  Syukuro Manabe,et al.  The influence of potential evaporation on the variabilities of simulated soil wetness and climate , 1988 .

[19]  Alfred T. C. Chang,et al.  Estimating surface soil moisture from satellite microwave measurements and a satellite derived vegetation index , 1988 .

[20]  Bhaskar J. Choudhury,et al.  Estimating soil wetness using satellite data , 1988 .

[21]  B. Choudhury,et al.  Simulated and observed 37 GHz emission over Africa , 1990 .

[22]  Manfred Owe,et al.  Daily surface moisture model for large area semiarid land application with limited climate data , 1990 .

[23]  Bhaskar J. Choudhury,et al.  Passive microwave remote sensing contribution to hydrological variables , 1991 .

[24]  K. Vinnikov,et al.  Soil Moisture: Empirical Data and Model Results. , 1991 .

[25]  Manfred Owe,et al.  Surface moisture and satellite microwave observations in semiarid southern Africa , 1992 .

[26]  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 .

[27]  P. Doraiswamy,et al.  Relationship between satellite microwave radiometric data, antecedent precipitation index, and regional soil moisture , 1993 .

[28]  Thomas L. Delworth,et al.  Climate variability and land-surface processes , 1993 .

[29]  Yann Kerr,et al.  Inversion of surface parameters from passive microwave measurements over a soybean field , 1993 .

[30]  C. Justice,et al.  A global 1° by 1° NDVI data set for climate studies derived from the GIMMS continental NDVI data , 1994 .

[31]  R. Reynolds,et al.  Optimal Averaging of Seasonal Sea Surface Temperatures and Associated Confidence Intervals (1860–1989) , 1994 .

[32]  Scott A. Isard,et al.  A Soil Moisture Climatology of Illinois , 1994 .

[33]  R. Madden,et al.  Optimal Averaging for the Determination of Global Mean Temperature: Experiments with Model Data , 1995 .

[34]  Robert M. Rabin,et al.  Regional‐scale comparisons of vegetation and soil wetness with surface energy budget properties from satellite and in‐situ observations , 1995 .

[35]  Dan Tarpley,et al.  The Enhanced NOAA Global Land Dataset from the Advanced Very High Resolution Radiometer , 1995 .

[36]  Y. Xue,et al.  Use of midlatitude soil moisture and meteorological observations to validate soil moisture simulations with biosphere and bucket models , 1995 .

[37]  B. Choudhury,et al.  Analyzing the discharge regime of a large tropical river through remote sensing, ground-based climatic data, and modeling , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.

[38]  A. Robock,et al.  Scales of temporal and spatial variability of midlatitude soil moisture , 1996 .

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

[40]  Eric F. Wood,et al.  Evaluation of Special Sensor Microwave/Imager Satellite Data for Regional Soil Moisture Estimation over the Red River Basin , 1997 .

[41]  Y. Xue,et al.  18-Year Land-Surface Hydrology Model Simulations for a Midlatitude Grassland Catchment in Valdai, Russia , 1997 .

[42]  A. Robock,et al.  Reply: (Evaluation of Land-Surface Parameterization Schemes Using Observations) , 1997 .

[43]  Toby N. Carlson,et al.  Decoupling of surface and near‐surface soil water content: A remote sensing perspective , 1997 .

[44]  Adriaan A. Van de Griend,et al.  Comparison of soil moisture penetration depths for several bare soils at two microwave frequencies and implications for remote sensing , 1998 .

[45]  Douglas A. Miller,et al.  A Conterminous United States Multilayer Soil Characteristics Dataset for Regional Climate and Hydrology Modeling , 1998 .

[46]  Jared Entin,et al.  Evaluation of the AMIP soil moisture simulations , 1998 .

[47]  Suxia Liu,et al.  Evaluation of Global Soil Wetness Project Soil Moisture Simulations , 1999 .

[48]  Li Li,et al.  Retrieval of land surface parameters using passive microwave measurements at 6-18 GHz , 1999, IEEE Trans. Geosci. Remote. Sens..