Open AccessPerformance evaluation of four directional emissivity analytical models with thermal SAIL model and airborne images
Author(s) -
Huazhong Ren,
Rongyuan Liu,
Guangjian Yan,
Zhao-Liang Li,
Qiming Qin,
Qiang Liu,
Françoise Nerry
Publication year - 2015
Publication title -
optics express
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.23.00a346
Subject(s) - bidirectional reflectance distribution function , emissivity , optics , remote sensing , environmental science , reflectivity , physics , geology
Land surface emissivity is a crucial parameter in the surface status monitoring. This study aims at the evaluation of four directional emissivity models, including two bi-directional reflectance distribution function (BRDF) models and two gap-frequency-based models. Results showed that the kernel-driven BRDF model could well represent directional emissivity with an error less than 0.002, and was consequently used to retrieve emissivity with an accuracy of about 0.012 from an airborne multi-angular thermal infrared data set. Furthermore, we updated the cavity effect factor relating to multiple scattering inside canopy, which improved the performance of the gap-frequency-based models.