Relationship of MISR RPV parameters and MODIS BRDF shape indicators to surface vegetation patterns in an Australian tropical savanna

Variability in surface BRDF at different spatial scales (30m–500m) over a mixed agricultural landscape as retrieved from airborne and satellite spectral measurements

“…This study demonstrates a unique BRDF retrieval capability that may well 567 serve research efforts that seek to evaluate and refine the accuracy of these multisensor data and 568 products. As more campaign datasets become available in the near future, BRDF retrievals from 569 CAR will be used to obtain different albedo, angular, and vegetation quantities, including BRDF 570 shape indicators (Hill et al 2008), foliage clumping index (CI) (Chen 1996), canopy shadow 571 fraction, and top-of-canopy vegetation indexes (i.e., NDVI and EVI) (Tucker 1979;Huete et al 572 2002) derived from Nadir BRDF-Adjusted Reflectances (NBAR) . In addi-573…”

The variability of satellite derived surface BRDF shape over Australia from 2001 to 2011

“…B(θ S ,θ V ,φ,α 1 ,α 2 ) is the BRDF shape function where α 1 is defined as F vol /F iso and α 2 is defined as F geo /F iso . BRDF shape indicators have been developed and used for analysis [6]. In this study, a statistic called here the root mean square (RMS) is used as the BRDF shape indicator to analyse anisotropy.…”

“…For example, [3] and [4] found few distinguishable BRDF shape pattern differences between various landcover types using POLarization and Directionality of the Earth's Reflectances (POLDER) data. However, [2], [5], [6] and [7] have found that there are relationships between the shape function, vegetation structure and fractional cover. In this study, the 11 years BRDF model parameters were used to explore the relationship between the vegetation structure classes defined in [5].…”

The impact of size variations in the ground instantaneous field of view of pixels on MODIS BRDF modelling

“…Firstly, combining the spectral and directional aspects of reflected light can be used to describe land surface features (Schaepman, 2006) and BRDF effects have been used in past studies to assist in the characterisation of vegetation, including several Australian studies (Lovell and Graetz, 2001;Grant, 2000;Hill et al, 2008;Armston et al, 2006). Indices to describe surface vegetation structure have also been developed based on BRDF effects, for example, the structural scattering index (SSI) (Gao et al, 2003), the anisoptropic factor (ANIF) (Sandmeier et al, 1998), and the clumping index (Lacaze and Roujean, 2000).…”