Exploration of a polarized surface bidirectional reflectance model using the ground-based multiangle spectropolarimetric imager

David J. Diner, Feng Xu, John V. Martonchik, Brian E. Rheingans, Sven Geier, Veljko M. Jovanovic, Ab Davis, Russell A Chipman, Stephen C Mcclain

Research output: Contribution to journalArticle

45 Citations (Scopus)

Abstract

Accurate characterization of surface reflection is essential for retrieval of aerosols using downward-looking remote sensors. In this paper, observations from the Ground-based Multiangle SpectroPolarimetric Imager (GroundMSPI) are used to evaluate a surface polarized bidirectional reflectance distribution function (PBRDF) model. GroundMSPI is an eight-band spectropolarimetric camera mounted on a rotating gimbal to acquire pushbroom imagery of outdoor landscapes. The camera uses a very accurate photoelastic-modulator-based polarimetric imaging technique to acquire Stokes vector measurements in three of the instrument's bands (470, 660, and 865 nm). A description of the instrument is presented, and observations of selected targets within a scene acquired on 6 January 2010 are analyzed. Data collected during the course of the day as the Sun moved across the sky provided a range of illumination geometries that facilitated evaluation of the surface model, which is comprised of a volumetric reflection term represented by the modified Rahman-Pinty-Verstraete function plus a specular reflection term generated by a randomly oriented array of Fresnel-reflecting microfacets. While the model is fairly successful in predicting the polarized reflection from two grass targets in the scene, it does a poorer job for two manmade targets (a parking lot and a truck roof), possibly due to their greater degree of geometric organization. Several empirical adjustments to the model are explored and lead to improved fits to the data. For all targets, the data support the notion of spectral invariance in the angular shape of the unpolarized and polarized surface reflection. As noted by others, this behavior provides valuable constraints on the aerosol retrieval problem, and highlights the importance of multiangle observations.

Original languageEnglish (US)
Pages (from-to)591-619
Number of pages29
JournalATMOSPHERE
Volume3
Issue number4
DOIs
StatePublished - 2012

Fingerprint

bidirectional reflectance
surface reflectance
aerosol
parking
roof
imagery
grass
sensor
geometry

Keywords

  • Aerosols
  • Polarization
  • Remote sensing
  • Underlying surface reflectance

ASJC Scopus subject areas

  • Environmental Science (miscellaneous)
  • Atmospheric Science

Cite this

Exploration of a polarized surface bidirectional reflectance model using the ground-based multiangle spectropolarimetric imager. / Diner, David J.; Xu, Feng; Martonchik, John V.; Rheingans, Brian E.; Geier, Sven; Jovanovic, Veljko M.; Davis, Ab; Chipman, Russell A; Mcclain, Stephen C.

In: ATMOSPHERE, Vol. 3, No. 4, 2012, p. 591-619.

Research output: Contribution to journalArticle

Diner, David J. ; Xu, Feng ; Martonchik, John V. ; Rheingans, Brian E. ; Geier, Sven ; Jovanovic, Veljko M. ; Davis, Ab ; Chipman, Russell A ; Mcclain, Stephen C. / Exploration of a polarized surface bidirectional reflectance model using the ground-based multiangle spectropolarimetric imager. In: ATMOSPHERE. 2012 ; Vol. 3, No. 4. pp. 591-619.
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