Modeling visible and near-infrared snow surface reflectance-simulation and validation
Modeling visible and near-infrared snow surface reflectance-simulation and validation作者机构:Institute of Geo-Spatial Information Science and TechnologyUniversity of Electronic Science and Technology of China
出 版 物:《Chinese Optics Letters》 (中国光学快报(英文版))
年 卷 期:2011年第9卷第10期
页 面:79-81页
核心收录:
学科分类:07[理学] 070601[理学-气象学] 0706[理学-大气科学]
基 金:supported by the National "863" Program of China (No. 2009AA122101) the National Natural Science Foundation of China (Nos. 40871160and 60841006)
主 题:Infrared devices Remote sensing Snow
摘 要:Retrieving snow surface reflectance is difficult in optical remote sensing. Hence, this letter evaluates five surface reflectance models, including the Ross-Li, Roujean, Walthall, modified Rahman and Staylor models, in terms of their capacities to capture snow reflectance signatures using ground measurements in Antarctica. The biases of all the models are less than 0.0003 in both visible and near-infrared regions. Moreover, with the exception of the Staylor model, all models have root-mean-square errors of around 0.02, indicating that they can simulate the reflectance magnitude well. The R2 performances of the Ross-Li and Roujean models are higher than those of the others, indicating that these two models can capture the angle distribution of snow surface reflectance better.