Obtaining surface albedo of high accuracy and analyzing spatial and temporal characteristics are essential for detecting change mechanism and influencing factors of surface albedo in deserts. Surface albedo from the Operational Land Imager (OLI) was assimilated into black-sky short-wave albedo (BSA) with an ensemble Kalman filter (EnKF) algorithm, to retrieve the surface albedo of high accuracy in Badain Jaran Desert. The results show that the average relative error decreases from 14.813% to 8.530% when surface albedo based on OLI is assimilated into BSA with the EnKF, and assimilated value can accurately describe the spatial and temporal distribution of surface albedo. The surface albedo has an obvious seasonal difference and presents a U-shape curve in a year, with the highest albedo in winter and lowest in summer. Owing to snow cover in some high-altitude areas, surface albedo is the highest and the spatial difference reaches maximum (variation coefficient=0.14) in winter. The Structure Similarity in surface albedo increases from the hinterland of desert (0.40–0.70) to the outer areas (0.70–0.90), as dune number decreases and distance between dunes increases. Compared with mobile and semi-mobile dunes, the minimum surface albedo of semi-fixed and fixed dunes postpones one month due to lag effect of the vegetation response to precipitation.

获得高精度的地表反照率并分析时空特征对于检测沙漠中地表反照率的变化机理及其影响因素至关重要。使用集成卡尔曼滤波（EnKF）算法将来自Operational Land Imager（OLI）的地表反照率同化为黑空短波反照率（BSA），以在巴丹吉林沙漠中获取高精度的地表反照率。结果表明，用EnKF将基于OLI的表面反照率同化为BSA时，平均相对误差从14.813％降低到8.530％，同化值可以准确地描述表面反照率的时空分布。地表反照率具有明显的季节差异，一年呈U型曲线，冬季反照率最高，夏季最低。由于某些高海拔地区的积雪，冬季地表反照率最高，空间差异最大（变异系数= 0.14）。随着沙丘数量的减少和沙丘之间距离的增加，地表反照率的结构相似性从沙漠腹地（0.40–0.70）到外围区域（0.70–0.90）不断增加。与移动和半移动沙丘相比，半固定和固定沙丘的最小反照率由于植被对降水的滞后效应而推迟了一个月。