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Sensor Noise Effects of the SWIR Bands on MODIS-Derived Ocean Color Products

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2 Author(s)
Menghua Wang ; NOAA National Environmental Satellite, Data, and Information Service, Center for Satellite Applications and Research, Camp Springs, MD, USA ; Wei Shi

The results of this study demonstrate the effects of sensor noise in the shortwave infrared (SWIR) bands on the satellite-derived ocean color products, in particular, normalized water-leaving radiance spectra data. A simple radiance smoothing technique is used for reducing sensor noise equivalent radiance NEΔL(λ) (or increasing the sensor signal-to-noise ratio) values for the SWIR radiances measured by the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Aqua satellite. Specifically, a simple 5 × 5 box running mean approach for MODIS-Aqua-measured SWIR radiances has been proposed. We show that the noise errors in MODIS-Aqua-derived ocean color products using the SWIR-based atmospheric correction algorithm are mainly from large noise errors in the MODIS-Aqua-measured SWIR radiances due to their significantly larger sensor NEΔL(λ) values. Using the proposed SWIR radiance smoothing method, SWIR-derived ocean color products can be improved with considerably reduced product noise. In addition, a practical method in estimation of the MODIS-Aqua SWIR NEΔL(λ) values has been developed. We show that, for future ocean color satellite sensors, it will require NEΔL(λ) values of less than ~5 × 10-4 and ~9 × 10-5 mW · cm-2 · μm-1 · sr-1 for SWIR bands at 1240 and 2130 nm, respectively.

Published in:

IEEE Transactions on Geoscience and Remote Sensing  (Volume:50 ,  Issue: 9 )