United States Naval Research Laboratory
Bio-Optical/Physical Processes and Remote Sensing Section
Improving Blended Multi-Sensor Ocean Color Products Through Assessment of Sensor Measurement Differences
Objective:
This project will focus on research to improve the blending of data products from multiple sensors, including HICO, MODIS, MERIS and SeaWiFS. The improvement will be realized in a combination of three different activities, each addressing the ability to create more consistent data measurements between sensors. The first activity will rest on using new in situ data to fine tune vicarious calibration of sensor data. The second activity for data consistency improvement will rest on analysis of sensor viewing angles. The results of the vicarious calibration will lead to the possibility of grouping gain factors for sensors by viewing angles. This grouping will be investigated to determine how it can translate into the improvement of data measurement consistency across multiple sensors. The third activity to improve data measurement consistency rests on development of spatial and temporal scales for data aggregation. The establishment of spatial scaling will provide methods for quickly and efficiently recasting data from one spatial resolution into the spatial resolution and coordinate system of a destination sensor’s resolution. Establishing temporal scales will provide methods for replacing data measurements that are masked or missing with data acquired from another sensor at a slightly different time. These methods will investigate when and how the temporal filling of data should be performed while at the same time maintaining data product integrity. This activity is funded as a NRL 6.2 project.
