Sentinel-2A卫星数据处理分析及在干旱河谷提取中的应用

Processing analysis of Sentinel-2A data and application to arid valleys extraction

哨兵2A(Sentinel-2A)作为一颗新型光学遥感卫星,具有大宽幅、多光谱、高时空分辨率与免费共享等优点,已广为光学遥感应用领域关注。选取欧空局提供的Sentinel-2A遥感卫星数据,以四川省黑水河流域部分区域为研究区,通过对Sentinel-2A数据参数、组织形式、产品等级与格式分析,利用SNAP软件中sen2cor处理模块将L1C级别数据转换成L2A级别数据,分别获取研究区气溶胶厚度分布图、水汽分布图、场景分类图及植被生物量因子数据图层;通过对生物物理量因子分析,利用研究区叶绿素含量生物量因子和数字高程模型,结合专家决策分类法提取出研究区内干旱河谷分布面积。研究结果表明,Sentinel-2A遥感卫星数据质量较好,丰富了遥感技术应用领域,其L2A级别数据将会对全球生态植被环境变化的监测与评价产生积极的应用价值。

As a new optical remote sensing satellite,Sentinel-2A has become a hot spot in optical remote sensing applications because it has wide bandwidth,multi-spectrum,high spatial-temporal resolution and free sharing.In this study,we chose Heishui River basin as the study area and selected Sentinel-2A satellite data from European Space Agency.The authors obtained aerosol optical data,water vapor data,scene classification data and biomass factor data through analysis of data arguments,organization form,product grade and data format by using the sen2cor processing module of SNAP.The distribution areas of arid valley in the study area were extracted by using the vegetation ecological index data and digital elevation model,combined with the expert decision classification method with the analyses of biophysical index data.The result shows that Sentinel-2A satellite data have good quality in that they enrich the application field of remote sensing technology greatly.L2A level data have more positive application value for the monitoring and evaluation of global ecological vegetation environment change.