Literature DB >> 22945151

Dynamic range and sensitivity requirements of satellite ocean color sensors: learning from the past.

Chuanmin Hu1, Lian Feng, Zhongping Lee, Curtiss O Davis, Antonio Mannino, Charles R McClain, Bryan A Franz.   

Abstract

Sensor design and mission planning for satellite ocean color measurements requires careful consideration of the signal dynamic range and sensitivity (specifically here signal-to-noise ratio or SNR) so that small changes of ocean properties (e.g., surface chlorophyll-a concentrations or Chl) can be quantified while most measurements are not saturated. Past and current sensors used different signal levels, formats, and conventions to specify these critical parameters, making it difficult to make cross-sensor comparisons or to establish standards for future sensor design. The goal of this study is to quantify these parameters under uniform conditions for widely used past and current sensors in order to provide a reference for the design of future ocean color radiometers. Using measurements from the Moderate Resolution Imaging Spectroradiometer onboard the Aqua satellite (MODISA) under various solar zenith angles (SZAs), typical (L(typical)) and maximum (L(max)) at-sensor radiances from the visible to the shortwave IR were determined. The L(typical) values at an SZA of 45° were used as constraints to calculate SNRs of 10 multiband sensors at the same L(typical) radiance input and 2 hyperspectral sensors at a similar radiance input. The calculations were based on clear-water scenes with an objective method of selecting pixels with minimal cross-pixel variations to assure target homogeneity. Among the widely used ocean color sensors that have routine global coverage, MODISA ocean bands (1 km) showed 2-4 times higher SNRs than the Sea-viewing Wide Field-of-view Sensor (SeaWiFS) (1 km) and comparable SNRs to the Medium Resolution Imaging Spectrometer (MERIS)-RR (reduced resolution, 1.2 km), leading to different levels of precision in the retrieved Chl data product. MERIS-FR (full resolution, 300 m) showed SNRs lower than MODISA and MERIS-RR with the gain in spatial resolution. SNRs of all MODISA ocean bands and SeaWiFS bands (except the SeaWiFS near-IR bands) exceeded those from prelaunch sensor specifications after adjusting the input radiance to L(typical). The tabulated L(typical), L(max), and SNRs of the various multiband and hyperspectral sensors under the same or similar radiance input provide references to compare sensor performance in product precision and to help design future missions such as the Geostationary Coastal and Air Pollution Events (GEO-CAPE) mission and the Pre-Aerosol-Clouds-Ecosystems (PACE) mission currently being planned by the U.S. National Aeronautics and Space Administration (NASA).

Entities:  

Year:  2012        PMID: 22945151     DOI: 10.1364/AO.51.006045

Source DB:  PubMed          Journal:  Appl Opt        ISSN: 1559-128X            Impact factor:   1.980


  7 in total

1.  Evaluation of multi-resolution satellite sensors for assessing water quality and bottom depth of Lake Garda.

Authors:  Claudia Giardino; Mariano Bresciani; Ilaria Cazzaniga; Karin Schenk; Patrizia Rieger; Federica Braga; Erica Matta; Vittorio E Brando
Journal:  Sensors (Basel)       Date:  2014-12-15       Impact factor: 3.576

2.  An evaluation of marine regions relevant for ocean color system vicarious calibration.

Authors:  Giuseppe Zibordi; Frédéric Mélin
Journal:  Remote Sens Environ       Date:  2017-03-01       Impact factor: 10.164

3.  Satellite sensor requirements for monitoring essential biodiversity variables of coastal ecosystems.

Authors:  Frank E Muller-Karger; Erin Hestir; Christiana Ade; Kevin Turpie; Dar A Roberts; David Siegel; Robert J Miller; David Humm; Noam Izenberg; Mary Keller; Frank Morgan; Robert Frouin; Arnold G Dekker; Royal Gardner; James Goodman; Blake Schaeffer; Bryan A Franz; Nima Pahlevan; Antonio G Mannino; Javier A Concha; Steven G Ackleson; Kyle C Cavanaugh; Anastasia Romanou; Maria Tzortziou; Emmanuel S Boss; Ryan Pavlick; Anthony Freeman; Cecile S Rousseaux; John Dunne; Matthew C Long; Eduardo Klein; Galen A McKinley; Joachim Goes; Ricardo Letelier; Maria Kavanaugh; Mitchell Roffer; Astrid Bracher; Kevin R Arrigo; Heidi Dierssen; Xiaodong Zhang; Frank W Davis; Ben Best; Robert Guralnick; John Moisan; Heidi M Sosik; Raphael Kudela; Colleen B Mouw; Andrew H Barnard; Sherry Palacios; Collin Roesler; Evangelia G Drakou; Ward Appeltans; Walter Jetz
Journal:  Ecol Appl       Date:  2018-03-06       Impact factor: 4.657

4.  Approach for Propagating Radiometric Data Uncertainties Through NASA Ocean Color Algorithms.

Authors:  Lachlan I W McKinna; Ivona Cetinić; Alison P Chase; P Jeremy Werdell
Journal:  Front Earth Sci (Lausanne)       Date:  2019-07-18

5.  Temporal Variation of Chlorophyll-a Concentrations in Highly Dynamic Waters from Unattended Sensors and Remote Sensing Observations.

Authors:  Jian Li; Liqiao Tian; Qingjun Song; Zhaohua Sun; Hongjing Yu; Qianguo Xing
Journal:  Sensors (Basel)       Date:  2018-08-16       Impact factor: 3.576

6.  On the detectability of adjacency effects in ocean color remote sensing of mid-latitude coastal environments by SeaWiFS, MODIS-A, MERIS, OLCI, OLI and MSI.

Authors:  Barbara Bulgarelli; Giuseppe Zibordi
Journal:  Remote Sens Environ       Date:  2018-05       Impact factor: 10.164

7.  Assessment of the Number of Valid Observations and Diurnal Changes in Chl-a for GOCI: Highlights for Geostationary Ocean Color Missions.

Authors:  Dan Zhao; Lian Feng
Journal:  Sensors (Basel)       Date:  2020-06-15       Impact factor: 3.576

  7 in total

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