Vicarious Cross-Calibration of the China Environment Satellite Using Nearly Simultaneously Observations of Landsat-7 ETM+ Sensor

Quan, Wenting

doi:10.1007/s12524-013-0322-z

Cited by 3 publications

(1 citation statement)

References 28 publications

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“…In the past, methods for removing the intermission difference have focused on the intermission consistency of chlorophyll-a concentration (Gregg et al, 2009;Kahru et al, 2015;Mélin et al, 2017;Pottier et al, 2006;Saulquin et al, 2013). One of these methods is the empirical gain factor cross-calibration approach, which reduces the deviation between two measurements (Eplee et al, 2011;Mélin et al, 2017;Quan, 2014;Teillet et al, 2007). The empirical gain factor approach is similar to the empirical satellite-to-satellite approach that Kahru et al (2015) proposed.…”

Section: Comparing Gain Factor Calibration Resultsmentioning

confidence: 99%

An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites

Chen

Xing

et al. 2020

JGR Oceans

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We used field measurements and multimission satellite data to evaluate how well an inherent optical properties (IOPs) data processing system performed at correcting the residual error of the atmospheric correction in satellite remote sensing reflectance (R rs ) and how well the system simultaneously minimized intermission biases between different remote sensing systems. We developed the IOPs data processing system as a semianalytical algorithm called IDAS. Our results show that IDAS generates accurate and consistent IOPs products from two ocean color missions: Sea-viewing Wide Field-of-View Sensor (SeaWiFS) and Moderate Resolution Imaging Spectroradiometer Aqua (MODISA). Specifically, with "high-quality" SeaWiFS and MODISA R rs data, IDAS provided temporally consistent IOPs products for the oligotrophic open ocean resulting in an annual mean intermission difference of less than 3%, which is significantly lower than what a quasi-analytical algorithm (QAA) provided. We used IDAS to generate a long time series of b b (555) from the Northwest Atlantic Subtropical Gyre using SeaWiFS (1998SeaWiFS ( to 2002 and MODISA (2003MODISA ( to 2017 images. Our results show that the IDAS-derived annual b b (555) decreased monotonically by 2.81% per decade from 1998 to 2017. Comparing the IDAS-generated annual trend for b b (555) to the same data processed with the QAA algorithm, we found that the QAA results differed because of impacts of the residual errors of the atmospheric correction and intermission biases. The differences in the annual trends existed despite the same temporal changing patterns of in situ particulate organic carbon existing in the Sargasso Sea and in the satellite chlorophyll-a concentration in the Northwest Atlantic Subtropical Gyre.

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Section: Comparing Gain Factor Calibration Resultsmentioning

confidence: 99%

An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites

Chen

Xing

et al. 2020

JGR Oceans

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Determining pseudo-invariant calibration sites for comparing inter-mission ocean color data

Chen

et al. 2022

ISPRS Journal of Photogrammetry and Remote Sensing

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An approach to cross-calibrating multi-mission satellite data for the open ocean

Chen

Liu

et al. 2020

Remote Sensing of Environment

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Vicarious Cross-Calibration of the China Environment Satellite Using Nearly Simultaneously Observations of Landsat-7 ETM+ Sensor

Cited by 3 publications

References 28 publications

An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites

An Inherent Optical Properties Data Processing System for Achieving Consistent Ocean Color Products From Different Ocean Color Satellites

Determining pseudo-invariant calibration sites for comparing inter-mission ocean color data

An approach to cross-calibrating multi-mission satellite data for the open ocean

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