Dr. Xiaoming Liu Profile

Dr. Xiaoming Liu

at National Oceanic and Atmospheric Administration

SPIE Involvement:

Author

Publications (3)

Proceedings Article | 10 December 2014 Paper

VIIRS ocean color data visualization and processing with IDL-based NOAA-SeaDAS

Xiaolong Wang, Xiaoming Liu, Lide Jiang, Menghua Wang, Junqiang Sun

Proceedings Volume 9261, 92611H (2014) https://doi.org/10.1117/12.2070478

KEYWORDS: Sensors, Visualization, Satellites, Data processing, MODIS, Data analysis, Data visualization, Image visualization, Satellite imaging, Data modeling

Read Abstract +

Proceedings Article | 10 December 2014 Paper

Evaluation of VIIRS ocean color products

Menghua Wang, Xiaoming Liu, Lide Jiang, SeungHyun Son, Junqiang Sun, Wei Shi, Liqin Tan, Puneeta Naik, Karlis Mikelsons, Xiaolong Wang, Veronica Lance

Proceedings Volume 9261, 92610E (2014) https://doi.org/10.1117/12.2069251

KEYWORDS: Calibration, MODIS, Sensor calibration, Data processing, In situ metrology, Satellites, Water, Ocean optics, Short wave infrared radiation, Magnesium

Read Abstract +

The Suomi National Polar-orbiting Partnership (SNPP) was successfully launched on October 28, 2011. The Visible Infrared Imaging Radiometer Suite (VIIRS) onboard the Suomi NPP, which has 22 spectral bands (from visible to infrared) similar to the NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS), is a multi-disciplinary sensor providing observations for the Earth’s atmosphere, land, and ocean properties. In this paper, we provide some evaluations and assessments of VIIRS ocean color data products, or ocean color Environmental Data Records (EDR), including normalized water-leaving radiance spectra nLw(λ) at VIIRS five spectral bands, chlorophyll-a (Chl-a) concentration, and water diffuse attenuation coefficient at the wavelength of 490 nm Kd(490). Specifically, VIIRS ocean color products derived from the NOAA Multi-Sensor Level-1 to Level-2 (NOAA-MSL12) ocean color data processing system are evaluated and compared with MODIS ocean color products and in situ measurements. MSL12 is now NOAA’s official ocean color data processing system for VIIRS. In addition, VIIRS Sensor Data Records (SDR or Level- 1B data) have been evaluated. In particular, VIIRS SDR and ocean color EDR have been compared with a series of in situ data from the Marine Optical Buoy (MOBY) in the waters off Hawaii. A notable discrepancy of global deep water Chl-a derived from MODIS and VIIRS between 2012 and 2013 is observed. This discrepancy is attributed to the SDR (or Level-1B data) calibration issue and particularly related to VIIRS green band at 551 nm. To resolve this calibration issue, we have worked on our own sensor calibration by combining the lunar calibration effect into the current calibration method. The ocean color products derived from our new calibrated SDR in the South Pacific Gyre show that the Chl-a differences between 2012 and 2013 are significantly reduced. Although there are still some issues, our results show that VIIRS is capable of providing high-quality global ocean color products in support of science research and operational applications. The VIIRS evaluation and monitoring results can be found at the website: http://www.star.nesdis.noaa.gov/sod/mecb/color/index.html.

Proceedings Article | 19 August 2009 Paper

Satellite observation and model simulation of water turbidity in the Chesapeake Bay

Xiaoming Liu, Menghua Wang, Wei Shi

Proceedings Volume 7459, 74590E (2009) https://doi.org/10.1117/12.828652

KEYWORDS: Satellites, Earth observing sensors, Algorithm development, MODIS, Atmospheric corrections, Climatology, Particles, Systems modeling, Signal attenuation, Numerical simulations

Read Abstract +

View contact details

UPDATE YOUR PROFILE

Is this your profile? Update it now.

Sign into your SPIE.org account

Don’t have a profile and want one?

Create an account on SPIE.org

Keywords/Phrases

Search In:

Publication Years