CLOUD AND CLOUD SHADOW IDENTIFICATION FOR MERIS AND SENTINEL-3/OLCI

摘要

Ocean colour remote sensing has become a well-established method for the monitoring of coastal waters. The MERIS chlorophyll product for turbid waters (algal_2) and the total suspended matter product (tsm) have been used in applications such as algal bloom detection, eutrophication monitoring, and coastal sediment transport. These MERIS L2 products are sometimes contaminated by cloud shadow pixels and the same problems are likely to occur in Sentinel-3. In order to avoid erroneous data passing quality control and being used in applications, an automated method for detecting and removing cloud and cloud shadow pixels is needed. With this in mind, we highlight the problems with MERIS in the past and show some results from applying detection methods to Landsat-8 data with the objective of using these methods for Sentinel-2 and -3 in the future.