FY3A MERSI数据的植被指数产品“异常条带”问题处理方法探究

Research on Method of “Abnormal Stripe Problem” of Vegetation Index Product of FY3A MERSI

摘要: 目前，FY3A MERSI数据的植被指数(NVI)产品没有进行数据质量的严格控制。相应的，数据产品出现各种问题，严重影响了NVI数据产品的可用性。通过观察可发现在NVI产品之中，最严重的显著的问题是“异常条带”现象。本文首先研究手动去除“异常条带”的方法，然后根据实际需要基于数学形态学方法探究自动化“异常条带”检测和去除。该自动检测方法通过快速检测异常条带边界，极大地提高了检测和去除“异常条带”的时间。从而FY3A MERSI数据的植被指数(NVI)产品的显著问题，提升FY3A MERSI数据的植被指数(NVI)产品的质量，保证该数据的可用性。

Abstract: There are so many problems in the NVI product that affect the availability of the NVI product. The main problem includes abnormal stripe, which is summarized in the NVI product. Apply manual method and auto method, which could solve the significant problems of the NVI and improve its quality, has been discussed. Auto method avoids wasting a lot of time to search the area of abnormal stripes. Thus the abnormal stripes are removed rapidly by using mathematical morphology to do boundary detection. Finally, the quality of FY3A MERSI has been improved and the data availability has been ensured.