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Journal of Applied Remote Sensing • Open Access

Improving remotely sensed fused ocean data products through cross-sensor calibration
Author(s): Mark D. Lewis; Ruhul Amin; Sonia C. Gallegos; Richard W. Gould; Sherwin D. Ladner; Adam Lawson; Rong-Rong Li

Paper Abstract

Standard oceanographic processing of the visible infrared imaging radiometer suite (VIIRS) and the moderate resolution imaging spectroradiometer (MODIS) data uses established atmospheric correction approaches to generate normalized water-leaving radiances (nLw) and bio-optical products. In many cases, there are minimal differences between temporally and spatially coincident MODIS and VIIRS bio-optical products. However, due to factors such as atmospheric effects, sensor, and solar geometry differences, there are cases where the sensors’ derived products do not compare favorably. When these cases occur, selected nLw values from one sensor can be used to vicariously calibrate the other sensor. Coincident VIIRS and MODIS scenes were used to test this cross-sensor calibration method. The VIIRS sensor was selected as the “base” sensor providing “synthetic” in situ nLw data for vicarious calibration, which computed new sensor gain factors used to reprocess the coincident MODIS scene. This reduced the differences between the VIIRS and MODIS bio-optical measurement. Chlorophyll products from standard and cross-sensor calibrated MODIS scenes were fused with the VIIRS chlorophyll product to demonstrate the ability for this cross-sensor calibration and product fusion method to remove atmospheric and cloud features. This cross-sensor calibration method can be extended to other current and future sensors.

Paper Details

Date Published: 23 July 2015
PDF: 19 pages
J. Appl. Rem. Sens. 9(1) 095063 doi: 10.1117/1.JRS.9.095063
Published in: Journal of Applied Remote Sensing Volume 9, Issue 1
Show Author Affiliations
Mark D. Lewis, U.S. Naval Research Lab. (United States)
Ruhul Amin, U.S. Naval Research Lab. (United States)
Sonia C. Gallegos, U.S. Naval Research Lab. (United States)
Richard W. Gould, U.S. Naval Research Lab. (United States)
Sherwin D. Ladner, U.S. Naval Research Lab. (United States)
Adam Lawson, U.S. Naval Research Lab. (United States)
Rong-Rong Li, U.S. Naval Research Lab. (United States)

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