Validation and scaling of soil moisture in a semi-arid environment: SMAP validation experiment 2015 (SMAPVEX15)

Abstract The NASA SMAP (Soil Moisture Active Passive) mission conducted the SMAP Validation Experiment 2015 (SMAPVEX15) in order to support the calibration and validation activities of SMAP soil moisture data products. The main goals of the experiment were to address issues regarding the spatial disaggregation methodologies for improvement of soil moisture products and validation of the in situ measurement upscaling techniques. To support these objectives high-resolution soil moisture maps were acquired with the airborne PALS (Passive Active L-band Sensor) instrument over an area in southeast Arizona that includes the Walnut Gulch Experimental Watershed (WGEW), and intensive ground sampling was carried out to augment the permanent in situ instrumentation. The objective of the paper was to establish the correspondence and relationship between the highly heterogeneous spatial distribution of soil moisture on the ground and the coarse resolution radiometer-based soil moisture retrievals of SMAP. The high-resolution mapping conducted with PALS provided the required connection between the in situ measurements and SMAP retrievals. The in situ measurements were used to validate the PALS soil moisture acquired at 1-km resolution. Based on the information from a dense network of rain gauges in the study area, the in situ soil moisture measurements did not capture all the precipitation events accurately. That is, the PALS and SMAP soil moisture estimates responded to precipitation events detected by rain gauges, which were in some cases not detected by the in situ soil moisture sensors. It was also concluded that the spatial distribution of the soil moisture resulted from the relatively small spatial extents of the typical convective storms in this region was not completely captured with the in situ stations. After removing those cases (approximately 10% of the observations) the following metrics were obtained: RMSD (root mean square difference) of 0.016 m 3 /m 3 and correlation of 0.83. The PALS soil moisture was also compared to SMAP and in situ soil moisture at the 36-km scale, which is the SMAP grid size for the standard product. PALS and SMAP soil moistures were found to be very similar owing to the close match of the brightness temperature measurements and the use of a common soil moisture retrieval algorithm. Spatial heterogeneity, which was identified using the high-resolution PALS soil moisture and the intensive ground sampling, also contributed to differences between the soil moisture estimates. In general, discrepancies found between the L-band soil moisture estimates and the 5-cm depth in situ measurements require methodologies to mitigate the impact on their interpretations in soil moisture validation and algorithm development. Specifically, the metrics computed for the SMAP radiometer-based soil moisture product over WGEW will include errors resulting from rainfall, particularly during the monsoon season when the spatial distribution of soil moisture is especially heterogeneous.

[1]  T. Jackson,et al.  Ground‐based investigation of soil moisture variability within remote sensing footprints During the Southern Great Plains 1997 (SGP97) Hydrology Experiment , 1999 .

[2]  Kalifa Goita,et al.  The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12): Prelaunch Calibration and Validation of the SMAP Soil Moisture Algorithms , 2015, IEEE Transactions on Geoscience and Remote Sensing.

[3]  Thomas J. Jackson,et al.  Combined Passive and Active Microwave Observations of Soil Moisture During CLASIC , 2009, IEEE Geoscience and Remote Sensing Letters.

[4]  Alicia T. Joseph,et al.  Evaluation of Dielectric Mixing Models for Passive Microwave Soil Moisture Retrieval Using Data From ComRAD Ground-Based SMAP Simulator , 2015, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[5]  Wade T. Crow,et al.  Application of Triple Collocation in Ground-Based Validation of Soil Moisture Active/Passive (SMAP) Level 2 Data Products , 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[6]  T. Schmugge,et al.  Vegetation effects on the microwave emission of soils , 1991 .

[7]  T. Jackson,et al.  Temporal persistence and stability of surface soil moisture in a semi-arid watershed , 2008 .

[8]  Thomas J. Jackson,et al.  Passive and Active L-Band System and Observations during the 2007 CLASIC Campaign , 2008, IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium.

[9]  Thomas J. Jackson,et al.  Aircraft based soil moisture retrievals under mixed vegetation and topographic conditions , 2008 .

[10]  Dara Entekhabi,et al.  An initial assessment of SMAP soil moisture retrievals using high‐resolution model simulations and in situ observations , 2016 .

[11]  Thomas J. Jackson,et al.  Validation of Advanced Microwave Scanning Radiometer Soil Moisture Products , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[12]  Kenneth G. Renard,et al.  Preface to special section on Fifty Years of Research and Data Collection: U.S. Department of Agriculture Walnut Gulch Experimental Watershed , 2008 .

[13]  Steven W. Smith,et al.  The Scientist and Engineer's Guide to Digital Signal Processing , 1997 .

[14]  Alan Tanner,et al.  Development of a high stability L-band radiometer for ocean salinity measurements , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[15]  Heather McNairn,et al.  Evaluation of several calibration procedures for a portable soil moisture sensor , 2013 .

[16]  Steven Chan,et al.  Soil Moisture Active Passive (SMAP) , 2013 .

[17]  A. Comrie,et al.  The North American Monsoon , 1997 .

[18]  Heather McNairn,et al.  SMAP soil moisture drying more rapid than observed in situ following rainfall events , 2016 .

[19]  A. Al Bitar,et al.  Overview of SMOS performance in terms of global soil moisture monitoring after six years in operation , 2016 .

[20]  Kelly K. Caylor,et al.  Validation of SMAP surface soil moisture products with core validation sites , 2017, Remote Sensing of Environment.

[21]  T. Jackson,et al.  Retrieving soil moisture for non-forested areas using PALS radiometer measurements in SMAPVEX12 field campaign , 2016 .

[22]  Yann Kerr,et al.  Validation of SMOS Brightness Temperatures During the HOBE Airborne Campaign, Western Denmark , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[23]  J. Kong,et al.  Theory for passive microwave remote sensing of near‐surface soil moisture , 1977 .

[24]  Simon Yueh,et al.  Passive active L- and S-band (PALS) microwave sensor for ocean salinity and soil moisture measurements , 2001, IEEE Trans. Geosci. Remote. Sens..

[25]  W. Crow,et al.  Upscaling of field-scale soil moisture measurements using distributed land surface modeling , 2005 .

[26]  Bruce H. Raup,et al.  EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets , 2012, ISPRS Int. J. Geo Inf..

[27]  T. Jackson,et al.  Long term analysis of PALS soil moisture campaign measurements for global soil moisture algorithm development , 2012 .

[28]  Heather McNairn,et al.  Comparison of Airborne Passive and Active L-Band System (PALS) Brightness Temperature Measurements to SMOS Observations During the SMAP Validation Experiment 2012 (SMAPVEX12) , 2015, IEEE Geoscience and Remote Sensing Letters.

[29]  Yann Kerr,et al.  Validation of Soil Moisture and Ocean Salinity (SMOS) Soil Moisture Over Watershed Networks in the U.S. , 2012, IEEE Transactions on Geoscience and Remote Sensing.

[30]  Thomas J. Jackson,et al.  Calibration of an impedance probe for estimation of surface soil water content over large regions , 2005 .

[31]  T. Jackson,et al.  III. Measuring surface soil moisture using passive microwave remote sensing , 1993 .

[32]  J. Prueger,et al.  Soil Moisture Model Calibration and Validation: An ARS Watershed on the South Fork Iowa River , 2015 .

[33]  M. S. Moran,et al.  Long‐term meteorological and soil hydrology database, Walnut Gulch Experimental Watershed, Arizona, United States , 2008 .

[34]  Yann Kerr,et al.  Assessment of the SMAP Passive Soil Moisture Product , 2016, IEEE Transactions on Geoscience and Remote Sensing.

[35]  Wade T. Crow,et al.  SMAP Handbook–Soil Moisture Active Passive: Mapping Soil Moisture and Freeze/Thaw from Space , 2014 .

[36]  Cintia Bruscantini,et al.  Bayesian Combined Active/Passive (B-CAP) Soil Moisture Retrieval Algorithm , 2016, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

[37]  Kalifa Goita,et al.  Canadian Experiment for Soil Moisture in 2010 (CanEx-SM10): Overview and Preliminary Results , 2013, IEEE Transactions on Geoscience and Remote Sensing.

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

[39]  M. S. Moran,et al.  Surface energy balance estimates at local and regional scales using optical remote sensing from an aircraft platform and atmospheric data collected over semiarid rangelands , 1994 .

[40]  Ying Gao,et al.  The Soil Moisture Active Passive Experiments (SMAPEx): Toward Soil Moisture Retrieval From the SMAP Mission , 2014, IEEE Transactions on Geoscience and Remote Sensing.

[41]  Venkat Lakshmi,et al.  Retrieval of soil moisture from passive and active L/S band sensor (PALS) observations during the Soil Moisture Experiment in 2002 (SMEX02) , 2004 .

[42]  Thomas Wilheit,et al.  Radiative Transfer in a Plane Stratified Dielectric , 1975, IEEE Transactions on Geoscience Electronics.

[43]  Michael H. Cosh,et al.  Different Rates of Soil Drying after Rainfall Are Observed by the SMOS Satellite and the South Fork in situ Soil Moisture Network , 2015 .

[44]  Michael W. Spencer,et al.  SMAP L-Band Microwave Radiometer: Instrument Design and First Year on Orbit , 2017, IEEE Transactions on Geoscience and Remote Sensing.

[45]  Valery L. Mironov,et al.  Correction to "Physically and Mineralogically Based Spectroscopic Dielectric Model for Moist Soils" [Jul 09 2059-2070] , 2009, IEEE Trans. Geosci. Remote. Sens..

[46]  Thomas J. Jackson,et al.  Observations of soil moisture using a passive and active low-frequency microwave airborne sensor during SGP99 , 2002, IEEE Trans. Geosci. Remote. Sens..

[47]  T. Jackson,et al.  Field observations of soil moisture variability across scales , 2008 .

[48]  Edward J. Kim,et al.  Towards validation of SMAP: SMAPEX-4 & -5 , 2016, 2016 IEEE International Geoscience and Remote Sensing Symposium (IGARSS).

[49]  Y. Kerr,et al.  Effective soil moisture sampling depth of L-band radiometry: A case study , 2010 .

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

[51]  M. Univer Ground-based investigation of soil moisture variability within remote sensing footprints during the Southern Great Plains 1997 (SGP97) Hydrology Experiment , 1999 .

[52]  Joshua R. Smith,et al.  Long‐term precipitation database, Walnut Gulch Experimental Watershed, Arizona, United States , 2008 .

[53]  David M. Le Vine,et al.  Aquarius: An Instrument to Monitor Sea Surface Salinity From Space , 2007, IEEE Transactions on Geoscience and Remote Sensing.

[54]  Thomas J. Jackson,et al.  A Comparative Study of the SMAP Passive Soil Moisture Product With Existing Satellite-Based Soil Moisture Products , 2017, IEEE Transactions on Geoscience and Remote Sensing.