title: Performance evaluation of four directional emissivity analytical models with thermal SAIL model and airborne images.
abstract: 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.
authors.forename: Huazhong
authors.initials: H
authors.lastname: Ren
authors.forename: Rongyuan
authors.initials: R
authors.lastname: Liu
authors.forename: Guangjian
authors.initials: G
authors.lastname: Yan
authors.forename: Zhao-Liang
authors.initials: ZL
authors.lastname: Li
authors.forename: Qiming
authors.initials: Q
authors.lastname: Qin
authors.forename: Qiang
authors.initials: Q
authors.lastname: Liu
authors.forename: Françoise
authors.initials: F
authors.lastname: Nerry