摘要
积雪表面温度的监测,对于气候变化研究、融雪径流预测预报、融雪性洪水防治等具有非常重要的意义。文中提出以像元雪盖率及林区本底数据为基础的混合像元组成结构假设,推导出了亚像元雪表面温度反演公式,并提出了一种基于像元雪盖率及林区本底数据的MODIS积雪像元地表平均比辐射率估算方法。实验表明,该方法相对传统组分温度反演方法简单且易于操作实现,一定程度上提高了MODIS的雪表面温度反演精度,特别是对于混合像元较为明显的区域。
Snow surface temperature monitoring has a very important significance for climate change research,snowmelt runoff forecasting and snowmelt flood prevention. The purpose of this study is to use MODIS data to retrieve the sub-pixel snow surface temperature. In this paper,firstly the linear coefficient of the Plank function in low temperature environment was simulated,then the sub-pixel snow surface temperature retrieving formula was deduced,and a surface average emissivity estimation method was proposed based on the pixel snow cover fraction and forest coverage area data. The results indicate that compared to the traditional component temperature retrieving method,this algorithm is simple and easy to operate and it can improve the MODIS snow surface temperature retrieval accuracy in a certain extent,especially for the mixed pixel area.
出处
《干旱区资源与环境》
CSSCI
CSCD
北大核心
2014年第5期166-170,共5页
Journal of Arid Land Resources and Environment
基金
国家自然科学基金项目"基于干旱区流域融雪径流形成过程及机制的大气水文模式耦合研究"(40871023)
国家自然科学基金项目"天山北坡典型流域积雪-冻土热耦合中融水产汇流机制研究"(41171023)资助
关键词
MODIS
亚像元
雪盖率
雪表面温度
MODIS
sub-pixel
snow cover fraction
snow surface temperature
