A generalized approach to the vicarious calibration of multiple Earth observation sensors using hyperspectral data
Philippe TeilletG. FedosejevsRobert P. GauthierN. T. O’NeillKurtis J. ThomeStuart F. BiggarHerbert T RipleyAimé Meygret
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Keywords:
Radiometric Calibration
SeaWiFS
Imaging spectrometer
Radiometry
Atmospheric correction
Earth observation
Spectral bands
SeaWiFS
Atmospheric correction
Ocean color
Atmospheric optics
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An evaluation of the accuracy of atmospheric and marine satellite-derived products is presented and discussed for the northern Adriatic Sea coastal region using match-ups of in situ and Sea-Viewing Wide-Field-of-View Sensor (SeaWiFS) data for the period September 1997-September 2001. The study, making use of a simple atmospheric correction scheme including a near-infrared (NIR) turbid-water correction, has shown mean relative percentage differences between in situ and satellite-derived aerosol optical thickness lower than 23% in the spectral range between 443 and 865 nm. By applying regional empirical bio-optical algorithms for chlorophyll a concentration (Chla), total suspended matter concentration (TSM), and diffuse attenuation coefficient at 490 nm (K/sub d/(490)), match-ups analysis has shown mean relative percentage differences of 40% for Chla, 28% for TSM, and 30% for K/sub d/(490). The analysis is supported by comparison of in situ and satellite-derived normalized water leaving radiances to highlight the importance of the NIR turbid-water correction and to discuss the intrinsic uncertainties due to the use of empirical algorithms.
SeaWiFS
Atmospheric correction
Ocean color
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The space satellite programs, such as CZCS/Nimbus- 7, VHRSR/FY - 1, OCTS/ADEOS and SeaWiFS/SeaStar, have demonstrated and proven that remote sensing is a powerful tool for understanding the spatial and temporal ocean color distribution. In general, there are two main techni cal keys in the processing ocean color satellite data. They are the atmospheric correction and the inver sion of water-leaving radiance into water constituents (such as chlorophyll, suspended material and yel low substance) quantitatively. The SeaWiFS (sea-viewing wide field-of-view sensor) atmospheric correc tion algorithm for China's coastal waters is discussed.First, the major advantages of SeaWiFS are introduced. Second, in view of the problems of the SeaDAS algorithm applying in China' s coastal waters, the local atmospheric correction algorithms are discussed and developed. Finally, the advantages of the loc al algorithms are presented by the compari son of the results from two different algorithms.
SeaWiFS
Atmospheric correction
Ocean color
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The primary focus of this proposed research is for the atmospheric correction algorithm evaluation and development and satellite sensor calibration and characterization. It is well known that the atmospheric correction, which removes more than 90% of sensor-measured signals contributed from atmosphere in the visible, is the key procedure in the ocean color remote sensing (Gordon and Wang, 1994). The accuracy and effectiveness of the atmospheric correction directly affect the remotely retrieved ocean bio-optical products. On the other hand, for ocean color remote sensing, in order to obtain the required accuracy in the derived water-leaving signals from satellite measurements, an on-orbit vicarious calibration of the whole system, i.e., sensor and algorithms, is necessary. In addition, it is important to address issues of (i) cross-calibration of two or more sensors and (ii) in-orbit vicarious calibration of the sensor-atmosphere system. The goal of these researches is to develop methods for meaningful comparison and possible merging of data products from multiple ocean color missions. In the past year, much efforts have been on (a) understanding and correcting the artifacts appeared in the SeaWiFS-derived ocean and atmospheric produces; (b) developing an efficient method in generating the SeaWiFS aerosol lookup tables, (c) evaluating the effects of calibration error in the near-infrared (NIR) band to the atmospheric correction of the ocean color remote sensors, (d) comparing the aerosol correction algorithm using the singlescattering epsilon (the current SeaWiFS algorithm) vs. the multiple-scattering epsilon method, and (e) continuing on activities for the International Ocean-Color Coordinating Group (IOCCG) atmospheric correction working group. In this report, I will briefly present and discuss these and some other research activities.
SeaWiFS
Atmospheric correction
Ocean color
Atmospheric models
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China has launched the first ocean color satellite HY-1A on May 15, 2002, which carried two remote sensors. The Chinese Ocean Color and Temperature Scanner (COCTS) is the main sensor on HY-1A, and it has not only eight visible and near-infrared bands similar to the SeaWiFS, but also two more thermal infrared bands to measure the sea surface temperature. Therefore, COCTS has broad application potentiality, such as fishery resource protection and development, coastal monitoring and management and marine pollution monitoring. In this paper, the standard atmospheric correction algorithm of COCTS is expatiated firstly, and the reasons why this algorithm and some other atmospheric correction algorithms for turbid waters fail in china coastal and inland water are analyzed. The result shows that not only the non-neglected water leaving radiance at near-infrared bands, but also the error of the aerosol single scattering reflectance between bands 7 and 8 for COCTS. On the base of analyzing the principle of the water-leaving radiance varying with the sediments concentration, we have developed an atmospheric correction algorithm in turbid waters for COCTS, which eliminates the over correction and negative water-leaving radiance at blue wavelength bands in China coastal and inland waters, and the result shows that the normalized water-leaving radiances derived by this algorithm accord with reality much better. By comparing with the SeaWiFS data, it shows that the atmospheric correction algorithm of COCTS is reliable, and the water-leaving radiance derived from COCTS data is consisted with SeaWiFS data.
SeaWiFS
Atmospheric correction
Ocean color
Physical oceanography
Spectral bands
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SeaWiFS
Ocean color
Atmospheric correction
Spectral bands
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SeaWiFS
Atmospheric correction
Ocean color
Physical oceanography
Atmospheric models
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Citations (135)
The normal atmospheric correction algorithms developed by SeaDAS software supposed that the radiance of the Sea-viewing Wide Fieldof-View Sensor(SeaWiFS) 765 nm and 865 nm bands is zero.But practical data proved that this assumption is not tenable in the atmospheric correction algorithms for case 2 water.Several atmospheric correction algorithms were provided based on the turbid coastal and(inland) waters of seas in China.The better one from them was chosen after analysis and comparison,which is more suitable to processing SeaWiFS data under the specific atmospheric and oceanic situations in China.
SeaWiFS
Atmospheric correction
Data Processing
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A practical algorithm of atmospheric correction for turbid coastal and inland waters is provided. The present algorithm uses the property that the water-leaving radiance at 412 nm increases very little with the increasing of water turbidity. Thus, in very turbid coastal and inland waters, the radiance at 412 nm can be used to estimate the aerosol scattering radiance at 865 nm. The performance of the new algorithm is validated with simulation for several cases. It is found that the retrieved remotely sensed reflectance is usually with error less than 10% for the first six bands of SeaWiFS. This new algorithm is also tested under various atmospheric conditions in the Changjiang River Estuary and the Hangzhou Bay where the sediment concentration is very high and the standard SeaWiFS atmospheric correction algorithm creates a mask due to atmospheric correction failure. The result proves the efficiency of this simple algorithm in reducing the errors of the water-leaving radiance retrieving using SeaWiFS satellite data.
SeaWiFS
Atmospheric correction
Turbidity
Ocean color
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