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基于MODIS与AMSR-E数据的新疆雪情参数协同反演研究

, PP. 41-49

Keywords: 协同反演,MODIS,AMSR-E,雪盖,积雪深度

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Abstract:

准确及时地掌握雪情参数及其动态变化是雪灾监测与灾情评价的基础。提出了一套基于MODIS与AMSR-E遥感传感器数据的雪情参数快速提取方案。利用MODIS反射率数据与AMSR-E亮温数据,反演了新疆2010年1月初的积雪范围与积雪深度。结果表明:利用MODIS与AMSR-E数据的协同反演策略能够有效去除云层对积雪识别的影响,弥补因云层造成的地表信息缺失;同时保持较高的空间分辨率,提高雪情参数的识别精度。根据同期气象台站的观测数据,对协同反演的雪情参数精度进行了评价:总体识别精度达到88.7%,积雪识别精度达到80.5%,在10~30cm雪深范围内,遥感反演的精度较高,但在雪深小于10cm或大于30cm的局部地区存在较大的偏差。提出的MODIS与AMSR-E遥感数据的协同反演方案简单可行,可以实现逐日全天候的雪情快速监测,为雪灾监测与评价提供重要的基础数据。

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