%0 Journal Article
%T Extraction of BRDF characteristics using TM/ETM+and DEM data<br>基于TM/ETM和DEM数据的BRDF特征提取
%A ZHANG Yuhuan
%A ZHONG Bo
%A YANG Fengjie
%A LIU Qinhuo
%A <br>张玉环
%A 仲波
%A 杨锋杰
%A 柳钦火
%J 遥感学报
%D 2012
%I 
%X We propose a method to extract the feature of Bi-directional Reflectance Distribution Functions (BRDF) over BadainJaran Desert using Landsat-TM/ETM+and ASTER GDEM data. Badain Jaran Desert is characterized with homogeneous andrugged terrain, which forms a natural Bi-directional Reflectance data sets with hypotheses that the surface structure of eachslope element does not vary with the variations of slope and aspect. Therefore, we use nadir view Landsat-TM/ETM+imageryto reconstruct the BRDF characterization of this experimental site. To begin with we use ASTER GDEM product to retrieve thesun-view geometry for each slope element corresponding to one pixel in remotely sensed imagery. Then the observations fromLandsat-TM/ETM+imagery and the retrieved sun-view geometries are used together to extract the BRDF feature of the experimentalsite. Finally, we simulate surface reflectance for 25 scenes of different Landsat-TM and ETM+images and compare thesimulations with the actual Landsat-TM and ETM+imageries. Results show that the difference between the simulation and "true"surface reflectance are 2.80%, 1.92%, 2.68% and 2.32%, respectively, which is higher than the radiometric calibration error requirementof 5% to 7%. Therefore, the combination of nadir viewing Landsat-TM/ETM+imagery with ASTER GDEM data canbe used to cross-calibrate remotely sensed imagery with large viewing observation.
%K BRDF
%K DEM
%K multi-angle
%K extraction atmospheric correction
%K surface reflectance<br>BRDF
%K DEM
%K 多角度
%K 特征提取
%K 大气校正
%K 地表反射率模拟
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=E62459D214FD64A3C8082E4ED1ABABED5711027BBBDDD35B&cid=A41A70F4AB56AB1B&jid=F926358B31AC94511E4382C083F7683C&aid=2C2DE33E892A8820B866B306AB6CBC65&yid=99E9153A83D4CB11&vid=7801E6FC5AE9020C&iid=0B39A22176CE99FB&sid=3E3EF0DB5E6F2DA9&eid=389106FB36CA8332&journal_id=1007-4619&journal_name=遥感学报&referenced_num=0&reference_num=15