Parametric bidirectional reflectance factor models: evaluation, improvements and applications
This report discusses in detail the feasibility of characterizing the bidirectional reflectance factor (BRF) of selected surface types through parametric BRF models. Two new representations of the surface reflection phase function are evaluated. Optimal values of the model parameters may be retrieved by inversion with a linear least squares optimization scheme after a suitable transformation of the model. The sensitivity of the albedo estimated by inversion of one of the new parametric models against data gathered from a single azimuthal plane is investigated. The estimates are reliable, but display sometimes slightly higher errors for azimuth angles near the cross plane. The potential and limitation for predicting BRFs at other observation geometries than those which were used for the parametric model inversion are investigated. The model parameters appear quite insensitive to observational conditions, except for an erratic behaviour of the asymmetry factor when the data are acquired in the cross plane only. The study suggests that the extraction of model parameters may lead to improved land surface classification. This family of parametric BRF models is proposed as part of the land surface product algorithm of the Multi-angle Imaging Spectro-Radiometer (ISR) of NASA/JPL, due to fly in 1998 on the EOS-AM1 platform.
Bibliographic Reference: EUR 16426 EN (1996) 120pp., FS
Availability: Available from the Public Relations and Publications Unit, JRC Ispra, I-21020 Ispra (IT)
Record Number: 199611110 / Last updated on: 1996-10-28
Original language: en
Available languages: en