Soil directional (biconical) reflectance in the principal plane with varied illumination angle under dry and saturated conditions

Changes in directional (biconical) spectral reflectance with varied illumination and observing angles were monitored for three soil samples under air dry and saturated conditions in the laboratory. The illumination angle was set at -10°, -40°, and -70° (left side of sample in the principal plane), and the observing angle ranged from -60° to +60° (both side of sample in the principal plane) in 5° increments. The samples were chosen to represent various soil properties. The nadir spectral reflectance was relatively stable for all illumination angles, however, the directional reflectance was more variable. When soil samples were dry, the directional reflectance changed obviously with phase angle with a stronger backward reflectance, while the forward reflectance was generally lower. For saturated soil samples, the directional spectral reflectance of dry soil feature was reduced, and the strong backward scattering was weakened. Indeed, the directional spectral reflectance became less sensitive to illumination angle and observation angle changes, especially for dark soils. The added water not only darkened the soil reflectance, but also reduced the directional variation difference of soil. A simple sketch was introduced to suggest an explanation for the difference between directional reflectance between air dry and saturated samples. When illumination was from one direction, the convex soil surface forms a distinct shadow on the opposite side, leading to a low forward reflectance. However, with a water layer coating on the soil surface, the chance of light propagating to the opposite side of illumination was increased, increasing reflectance in the forward direction.

[1]  Determining the influential depth for surface reflectance of sediment by BRDF measurements. , 2003, Optics express.

[2]  M. Shoshany Roughness—Reflectance relationship of bare desert terrain: An empirical study☆ , 1993 .

[3]  S. Jones,et al.  A linear physically-based model for remote sensing of soil moisture using short wave infrared bands , 2015 .

[4]  Charles M. Bachmann,et al.  Phase angle dependence of sand density observable in hyperspectral reflectance , 2014 .

[5]  A. Ångström The Albedo of Various Surfaces of Ground , 1925 .

[6]  R. Schwarzenbach,et al.  Light penetration in soil and particulate minerals , 2005 .

[7]  W. Philpot,et al.  Relationship between surface soil water content, evaporation rate, and water absorption band depths in SWIR reflectance spectra , 2015 .

[8]  D. J. Leu,et al.  Visible and near — infrared reflectance of beach sands: A study on the spectral reflectance/ grain size relationship , 1977 .

[9]  J. Wigneron,et al.  Estimating the root-zone soil moisture from the combined use of time series of surface soil moisture and SVAT modelling , 1999 .

[10]  Glenn D Boreman,et al.  Analytical fitting model for rough-surface BRDF. , 2008, Optics express.

[11]  A. Lacis,et al.  Multiple Scattering of Light by Particles: Radiative Transfer and Coherent Backscattering , 2006 .

[12]  H. Kaufmann,et al.  Surface soil moisture quantification models from reflectance data under field conditions , 2008 .

[13]  S. Ustin,et al.  Development of angle indexes for soil moisture estimation, dry matter detection and land-cover discrimination , 2007 .

[14]  J. Freud Theory Of Reflectance And Emittance Spectroscopy , 2016 .

[15]  Charles M. Bachmann,et al.  Influence of density on hyperspectral BRDF signatures of granular materials , 2015, Defense + Security Symposium.

[16]  A. Poortinga,et al.  Measuring and Modeling the Effect of Surface Moisture on the Spectral Reflectance of Coastal Beach Sand , 2014, PloS one.

[17]  Jerzy Cierniewski,et al.  Furrow Microrelief Influence on the Directional Hyperspectral Reflectance of Soil at Various Illumination and Observation Conditions , 2010, IEEE Transactions on Geoscience and Remote Sensing.

[18]  Laurent Pilon,et al.  Optical constants of silica glass from extreme ultraviolet to far infrared at near room temperature. , 2007, Applied optics.

[19]  Hao Zhang,et al.  Bidirectional reflectance study on dry, wet, and submerged particulate layers: effects of pore liquid refractive index and translucent particle concentrations. , 2006, Applied optics.

[20]  Peng Gong,et al.  Retrieving photometric properties of desert surfaces in China using the Hapke model and MISR data. , 2009 .

[21]  Wenjiang Huang,et al.  Extension of the Hapke bidirectional reflectance model to retrieve soil water content , 2011 .

[22]  E. Vermote,et al.  Airborne spectral measurements of surface-atmosphere anisotropy for several surfaces and ecosystems over southern Africa , 2001 .

[23]  Nikolaus J. Kuhn,et al.  Reflectance anisotropy for measuring soil surface roughness of multiple soil types , 2012 .

[24]  D. Lobell,et al.  Moisture effects on soil reflectance , 2002 .

[25]  Arnon Karnieli,et al.  INFERRING THE ROUGHNESS OF DESERT ROCKY SURFACES FROM THEIR BIDIRECTIONAL REFLECTANCE DATA , 2001 .

[26]  M. Tester,et al.  The penetration of light through soil , 1987 .

[27]  Maria F. von Schoenermark,et al.  Reflection properties of vegetation and soil with a new BRDF database , 2004, SPIE Defense + Commercial Sensing.

[28]  M. Shepard,et al.  Testing the Hapke photometric model: Improved inversion and the porosity correction , 2011 .

[29]  Shunlin Liang,et al.  An investigation of remotely-sensed soil depth in the optical region , 1997 .

[30]  Hao Zhang,et al.  Bidirectional reflectance and polarization measurements on packed surfaces of benthic sediments and spherical particles. , 2009, Optics express.

[31]  J. Demattê,et al.  Soil density evaluated by spectral reflectance as an evidence of compaction effects , 2010 .

[32]  B. Hapke Bidirectional reflectance spectroscopy: 1. Theory , 1981 .

[33]  W. Philpot,et al.  The Hyperspectral Soil Line: a preliminary description , 2016 .

[34]  Michael C. Dorf,et al.  Why some things are darker when wet. , 1988, Applied optics.