多源遥感数据地表BRDF/反照率联合反演方法及试验验证

As albedo is one of the key land surface parameters, its accuracy inversion with remote sensing method is significant. Up to now, there is a limitation on the BRDF/Albedo inversion algorithms merely available for a monosensor or satellite. This results in some problems in their applications, such as the poor consistency of the products from different sensors, the low precision of the products, and the discreteness in temporal and spatial dimensions. Therefore, the compositive inversion of surface BRDF and albedo with multi-collaborative remote sensing satellite data has great significance to improve the precision and temporal resolution of surface albedo products and also for the solving of the problems in the normalization of different albedo products derived from various sensors..This program focuses on modeling and vailidation of the BRDF/albedo with multi-sensors remote sensing data (MODIS,AVHRR and FY3/VIRR), the analysis of the combination inversion, and multiangular remote sensing dateset based on MODIS sensor, to provide more angular variation information for the land surface BRDF remote sensing inversion and improve the accuracy of land surface albedo products. We will utilize the data from the global station observations and multi-scale field synthetical measurements, to validate the remote sensing inversion model and method of land surface BRDF and albedo.

陆地反照率（Albedo）是主要地表参数之一，准确的地表反照率遥感反演具有重要意义。针对单一传感器发展的地表BRDF和反照率反演算法，应用中存在不同传感器反照率产品一致性较差、产品精度较低、时空不连续的问题。通过多传感器遥感数据进行地表BRDF和反照率联合反演，对于提高地表反照率产品精度和时间分辨率，解决不同传感器反照率产品归一化问题具有重要的意义。.项目拟以MODIS（或NPOESS/VIRR）为基准传感器，以AVHRR和FY3/VIRR为一天内观测同一地表的新增传感器，构建多源遥感数据联合反演地表BRDF和反照率模型,研究新增遥感观测数据对于地表BRDF和反照率反演的影响机制和不确定性分析，解决利用多源遥感数据如何提高BRDF和反照率反演精度的问题。并开展野外多尺度遥感试验和收集全球主要台站数据，进行地表BRDF和反照率遥感反演精度验证和稳定性评价。

准确估算陆地反照率对于辐射能量平衡和全球变化研究具有重要的意义。目前以单一传感器发展的地表二向反射分布函数（ BRDF） 和反照率产品，BRDF和反照率合成周期长，不同传感器一致性较差、产品精度较低、时空不连续。通过多传感器遥感数据进行地表BRDF 和反照率联合反演，可缩短产品合成周期，提高产品精度。.因此，课题主要目标是如何通过新增卫星反射率观测数据，提高 MODIS 单一传感器数据地表 BRDF 和反照率反演精度。根据这一研究目标，发展了多传感器反射率综合反演地表BRDF的模型（MCBI）和基于净信息指数的反演方法。该模型方法估算的反照率与MODIS反照率相比，合成周期短，整体精度高。.将MCBI模型方法集成至定量遥感产品生产系统（MuSyQ），生产了2014年度全球地表BRDF和反照率产品。产品空间分辨率1公里，时间分辨率5天。.持续开展异质性地表反照率观测试验，形成了一套异质性地表反照率产品验证数据集及其验证方法，为验证反照率产品的精度提供了数据和技术支持。.发表SCI论文7篇，EI论文1篇，中文核心论文1篇，出版专著1部，授权国家发明专利1项。