Dr. Menghua Wang Profile

Dr. Menghua Wang

at Ctr for Satellite Applications and Research

SPIE Involvement:

Conference Program Committee | Author

Publications (40)

Proceedings Article | 12 September 2019 Presentation

On aspects of on-orbit RSB calibration of SNPP VIIRS and other similar mulitspectral sensors. (Conference Presentation)

I-Wen Mike Chu, Junqiang Sun, Menghua Wang

Proceedings Volume 11127, 1112719 (2019) https://doi.org/10.1117/12.2529487

KEYWORDS: Calibration, Sensor calibration, Sensors, MODIS

Read Abstract +

Proceedings Article | 9 September 2019 Presentation + Paper

On-orbit calibration performance of Sentinel-3A OLCI referencing to SNPP VIIRS: 2-year result

Mike Chu, Menghua Wang

Proceedings Volume 11127, 111270R (2019) https://doi.org/10.1117/12.2529469

KEYWORDS: Calibration, Satellites, Sensors, MODIS, Reflectivity, Modulation, Satellite imaging, Near infrared, Spatial resolution, Imaging systems

Read Abstract +

Proceedings Article | 9 September 2019 Paper

The continual evaluation of NOAA-20 VIIRS RSB radiometric performance using intercomparison with Aqua MODIS

Mike Chu, Menghua Wang

Proceedings Volume 11127, 111272A (2019) https://doi.org/10.1117/12.2529480

KEYWORDS: MODIS, Calibration, Satellites, Sensors, Spatial resolution, Stars, Reflectivity, Diffusers, Satellite imaging, Bidirectional reflectance transmission function

Read Abstract +

Proceedings Article | 18 September 2018 Presentation

Polarization effect in NOAA-20 reflective solar bands and its mitigation in Earth view imagery and radiometry (Conference Presentation)

Junqiang Sun, Menghua Wang

Proceedings Volume 10764, 107641G (2018) https://doi.org/10.1117/12.2320244

KEYWORDS: Polarization, Radiometry, Reflectivity, Sensors, Visible radiation, Infrared imaging, Infrared radiation, Imaging systems

Read Abstract +

Proceedings Article | 7 September 2018 Presentation + Paper

NOAA-20 VIIRS reflective solar bands on-orbit calibration using solar diffuser and solar diffuser stability monitor

Junqiang Sun, Menghua Wang

Proceedings Volume 10764, 107641C (2018) https://doi.org/10.1117/12.2320232

KEYWORDS: Calibration, Sensors, Sun, Diffusers, Reflectivity, Modulation, Satellites, Visible radiation, Radiometry, Mirrors

Read Abstract +

Proceedings Article | 7 September 2018 Presentation + Paper

NOAA-20 VIIRS on-orbit calibration and characterization using the Moon

Junqiang Sun, Menghua Wang

Proceedings Volume 10764, 107640U (2018) https://doi.org/10.1117/12.2320236

KEYWORDS: Sensors, Calibration, Contamination, Staring arrays, Long wavelength infrared, MODIS, Visible radiation, Infrared radiation, Reflectivity, Short wave infrared radiation

Read Abstract +

Proceedings Article | 7 September 2018 Presentation + Paper

SNPP VIIRS reflective solar bands on-orbit calibration six-year update: extension and improvements

J. Sun, M. Wang

Proceedings Volume 10764, 107641A (2018) https://doi.org/10.1117/12.2320238

KEYWORDS: Calibration, Sensors, Solids, Reflectivity, Near infrared, Satellite imaging, Satellites, Visible radiation, Infrared imaging, Radiometry

Read Abstract +

Proceedings Article | 7 September 2018 Paper

On-orbit RSB calibration of SNPP VIIRS using the full illumination profile of solar diffuser

Junqiang Sun, Mike Chu, Menghua Wang

Proceedings Volume 10764, 107641D (2018) https://doi.org/10.1117/12.2320828

KEYWORDS: Calibration, Sensors, Diffusers, Reflectivity, Sun, Satellites, Modulation, Solids, Light scattering, Space operations

Read Abstract +

Proceedings Article | 7 September 2018 Presentation + Paper

Evaluation of early NOAA-20 VIIRS RSB radiometric performance using intercomparison with Aqua MODIS

Mike Chu, Junqiang Sun, Menghua Wang

Proceedings Volume 10764, 107640W (2018) https://doi.org/10.1117/12.2321095

KEYWORDS: MODIS, Calibration, Satellites, Sensors, Satellite imaging, Bidirectional reflectance transmission function

Read Abstract +

Proceedings Article | 18 October 2017 Presentation

Crosstalk effect and its mitigation in MODIS and VIIRS thermal emissive bands (Conference Presentation)

Junqiang Sun, Menghua Wang

Proceedings Volume 10423, 1042315 (2017) https://doi.org/10.1117/12.2278727

KEYWORDS: Algorithm development, MODIS, Calibration, Electronic circuits, Sensor calibration, Ranging, Visible radiation, Infrared imaging, Radiometry, Contamination

Read Abstract +

Proceedings Article | 18 October 2017 Presentation

SNPP VIIRS reflective solar bands on-orbit calibration using the Moon (Conference Presentation)

Junqiang Sun, Menghua Wang

Proceedings Volume 10423, 1042310 (2017) https://doi.org/10.1117/12.2278729

KEYWORDS: Calibration, Reflectivity, Diffusers, Sensor calibration, Visible radiation, Infrared imaging, Radiometry, Space operations, Sensors

Read Abstract +

Proceedings Article | 19 September 2017 Presentation

Improvements in the calibration of the SNPP VIIRS day-night band (Conference Presentation)

Junqiang Sun, Menghua Wang

Proceedings Volume 10402, 104021T (2017) https://doi.org/10.1117/12.2272882

KEYWORDS: Calibration, Satellites, Visible radiation, Infrared imaging, Radiometry, Satellite imaging, Diffusers, Reflectivity, Vignetting, Signal attenuation

Read Abstract +

Proceedings Article | 19 September 2017 Presentation

Electronic crosstalk effect in SNPP VIIRS thermal emissive bands (Conference Presentation)

Junqiang Sun, Menghua Wang

Proceedings Volume 10402, 104021Q (2017) https://doi.org/10.1117/12.2272897

KEYWORDS: Calibration, Sensors, Black bodies, Infrared imaging, Thermography, Infrared radiation, Long wavelength infrared, Photovoltaics, Contamination, Visible radiation

Read Abstract +

Proceedings Article | 5 September 2017 Presentation + Paper

Suomi-NPP VIIRS initial reprocessing improvements and validations in the reflective solar bands (RSBs)

Taeyoung Choi, Junqiang Sun, Bin Zhang, Zhuo Wang, Changyong Cao, Fuzhong Weng, Menghua Wang

Proceedings Volume 10402, 104021V (2017) https://doi.org/10.1117/12.2274081

KEYWORDS: Calibration, Reflectivity, Visible radiation, Infrared imaging, Radiometry, Sensors, Infrared sensors, Remote sensing, Data processing, Satellites

Read Abstract +

Proceedings Article | 5 September 2017 Presentation + Paper

RSB calibration of SNPP VIIRS using solar diffuser illuminated by scattered light

Junqiang Sun, Mike Chu, Menghua Wang

Proceedings Volume 10402, 104021Y (2017) https://doi.org/10.1117/12.2272898

KEYWORDS: Calibration, Diffusers, Light scattering, Reflectivity, Satellites, Light, MODIS, Remote sensing, Data processing, Sensor calibration

Read Abstract +

Proceedings Article | 5 September 2017 Presentation + Paper

Reflective solar bands calibration improvements and look up tables for SNPP VIIRS operational mission-long SDR reprocessing

J. Sun, M. Wang

Proceedings Volume 10402, 104021W (2017) https://doi.org/10.1117/12.2271636

KEYWORDS: Calibration, Reflectivity, Visible radiation, Infrared imaging, Radiometry, Sensors, Environmental sensing, Data processing, Satellites

Read Abstract +

Proceedings Article | 5 September 2017 Presentation + Paper

Crosstalk effect and its mitigation in Aqua MODIS middle wave infrared bands

Junqiang Sun, S. Madhavan, Menghua Wang

Proceedings Volume 10402, 104020N (2017) https://doi.org/10.1117/12.2273015

KEYWORDS: MODIS, Mid-IR, Infrared radiation, Infrared imaging, Algorithm development, Contamination, Long wavelength infrared, Photovoltaics, Space operations, Short wave infrared radiation

Read Abstract +

The MODerate-resolution Imaging Spectroradiometer (MODIS) is one of the primary instruments in the National Aeronautics and Space Administration (NASA) Earth Observing System (EOS). The first MODIS instrument was launched in December 1999 on-board the Terra spacecraft. A follow on MODIS was launched on an afternoon orbit in 2002 and is aboard the Aqua spacecraft. Both MODIS instruments are very akin, has 36 bands, among which bands 20 to 25 are Middle Wave Infrared (MWIR) bands covering a wavelength range from approximately 3.750 μm to 4.515 μm. It was found that there was severe contamination in these bands early in mission but the effect has not been characterized and mitigated at the time. The crosstalk effect induces strong striping in the Earth View (EV) images and causes significant retrieval errors in the EV Brightness Temperature (BT) in these bands. An algorithm using a linear approximation derived from on-orbit lunar observations has been developed to correct the crosstalk effect and successfully applied to mitigate the effect in both Terra and Aqua MODIS Long Wave Infrared (LWIR) Photovoltaic (PV) bands. In this paper, the crosstalk effect in the Aqua MWIR bands is investigated and characterized by deriving the crosstalk coefficients using the scheduled Aqua MODIS lunar observations for the MWIR bands. It is shown that there are strong crosstalk contaminations among the five MWIR bands and they also have significant crosstalk contaminations from Short Wave Infrared (SWIR) bands. The crosstalk correction algorithm previously developed is applied to correct the crosstalk effect in these bands. It is demonstrated that the crosstalk correction successfully reduces the striping in the EV images and improves the accuracy of the EV BT in the five bands as was done similarly for LWIR PV bands. The crosstalk correction algorithm should thus be applied to improve both the image quality and radiometric accuracy of the Aqua MODIS MWIR bands Level 1B (L1B) products.

Proceedings Article | 5 September 2017 Paper

The curious case of the intersensor radiometric comparison of SNPP VIIRS M11 with Aqua MODIS B7

Mike Chu, Junqiang Sun, Menghua Wang

Proceedings Volume 10402, 104022E (2017) https://doi.org/10.1117/12.2272434

KEYWORDS: MODIS, Calibration, Satellites, Spatial resolution, Reflectivity, Sun, Sensors, Data centers, Satellite imaging, Solids

Read Abstract +

Proceedings Article | 5 September 2017 Presentation + Paper

The inter-sensor radiometric comparison of SNPP VIIRS reflective solar bands with Aqua MODIS updated through June 2017

Mike Chu, Junqiang Sun, Menghua Wang

Proceedings Volume 10402, 1040222 (2017) https://doi.org/10.1117/12.2272437

KEYWORDS: MODIS, Calibration, Statistical analysis, Satellites, Sensors, Sun

Read Abstract +

Proceedings Article | 19 September 2016 Presentation + Paper

VIIRS reflective solar bands on-orbit calibration five-year update: extension and improvements

Junqiang Sun, Menghua Wang

Proceedings Volume 9972, 99721B (2016) https://doi.org/10.1117/12.2236997

KEYWORDS: Calibration, Reflectivity, Diffusers, Visible radiation, Sensors, Satellites, Seaborgium, Near infrared, Sun, Atmospheric modeling

Read Abstract +

Proceedings Article | 19 September 2016 Presentation + Paper

Improvement in the cloud mask for Terra MODIS mitigated by electronic crosstalk correction in the 6.7 µm and 8.5 µm channels

Junqiang Sun, S. Madhavan, M. Wang

Proceedings Volume 9972, 99720Z (2016) https://doi.org/10.1117/12.2237013

KEYWORDS: Clouds, MODIS, Thermography, Infrared radiation, Sensors, Space operations, Reflectivity, Radiometry, Contamination, Long wavelength infrared

Read Abstract +

Proceedings Article | 19 September 2016 Paper

Radiometric evaluation of the SNPP VIIRS reflective solar band sensor data records via inter-sensor comparison with Aqua MODIS

Mike Chu, Juniqiang Sun, Menghua Wang

Proceedings Volume 9972, 99721R (2016) https://doi.org/10.1117/12.2236942

KEYWORDS: Calibration, MODIS, Satellites, Reflectivity, Satellite imaging, Sensors, Statistical analysis, Sun, Spatial resolution, Data centers

Read Abstract +

The Visible Infrared Imaging Radiometer Suite (VIIRS) in the Suomi National Polar-orbiting Partnership (SNPP) satellite has been on orbit for nearly five years since its launch on 28 October 2011. The NOAA Ocean Color (OC) Team through the investigations of Sun and Wang has recently achieved robust calibration of the VIIRS reflective solar bands (RSBs) and generated its own version of the sensor data records (SDRs) with accuracy sufficient for ocean color applications. For the purpose of making a direct evaluation of the SDR performance, for both the OC version and the official Interface Processing Data Segment (IDPS) version, we utilize an inter-sensor radiometric comparison of SNPP VIIRS against the MODerate-resolution Imaging Spectroradiometer (MODIS) onboard the Aqua satellite for the spectrally matching RSBs. The VIIRS RSBs M1–M8, from 410 to 1238 nm in the spectral range, are tested. Except for the VIIRS M1 versus MODIS Band 8 result, the radiance comparison time series shows that the OC SDRs demonstrate good agreement with Aqua MODIS and overall better results than the IDPS SDRs, such as less variation, no large discrepancy at the beginning of the VIIRS mission, and no long-term drift. The VIIRS M1 versus MODIS Band 8 trend is the lone exception showing a drift in the OC SDR-based trends, but eventually a downward drift of 1% in Aqua MODIS Band 8 is identified to be the cause. It is readily concluded that the inter-comparison result directly demonstrates the OC SDRs to be correct within statistics, especially considering that the ocean color products derived from the OC SDRs have already matured and demonstrated good agreement with in situ data. On the other hand, the IDPS SDR results demonstrably expose the known inherent growing bias in RSB calibration that affects any versions of the SNPP VIIRS SDRs not using the correctly mitigated calibration baseline. The inter-comparison of two moderate resolution sensors is also an exercise in statistics, and we briefly discuss key points of the pixel-based analysis that establishes the precision and the reliability of the result

Proceedings Article | 19 September 2016 Presentation + Paper

An exposition on the solar diffuser degradation non-uniformity effect for SNPP VIIRS and Terra/Aqua MODIS

Junqiang Sun, Mike Chu, Menghua Wang

Proceedings Volume 9972, 99721E (2016) https://doi.org/10.1117/12.2236991

KEYWORDS: Calibration, Diffusers, MODIS, Bidirectional reflectance transmission function, Reflectivity, Satellites, Sensors, Calibration, MODIS, Reflectivity, Satellites, Satellite imaging, Mirrors, Space operations

Read Abstract +

Proceedings Article | 19 September 2016 Presentation + Paper

Crosstalk effect and its mitigation in thermal emissive bands of remote sensors

J. Sun, S. Madhavan, M. Wang

Proceedings Volume 9972, 99720Y (2016) https://doi.org/10.1117/12.2237010

KEYWORDS: Algorithm development, MODIS, Calibration, Remote sensing, Sensors, Electronic circuits, Satellites, Long wavelength infrared, Detection and tracking algorithms, Signal detection

Read Abstract +

Proceedings Article | 7 May 2016 Paper

High-resolution shipboard measurements of phytoplankton: a way forward for enhancing the utility of satellite SST and chlorophyll for mapping microscale features and frontal zones in coastal waters

Christy Jenkins, Joaquim Goes, Kali McKee, Helga do R. Gomes, Robert Arnone, Menghua Wang, Michael Ondrusek, P. Nagamani, T. Preethi Latha, K. Rao, V. Dadhwal

Proceedings Volume 9878, 98780U (2016) https://doi.org/10.1117/12.2225875

KEYWORDS: Satellites, Pulmonary function tests, Carbon, Remote sensing, Algorithm development, Data modeling, Luminescence, Ecosystems, Particles, Satellite communications

Read Abstract +

Coastal eddies, frontal zones and microscale oceanographic features are now easily observable from satellite measurements of SST and Chl a. Enhancing the utility of these space-borne measurements for biological productivity, biogeochemical cycling and fisheries investigations will require novel bio-optical methods capable of providing information on the community structure, biomass and photo-physiology of phytoplankton associated on spatial scales that match these features. This study showcases high-resolution in-situ measurements of sea water hydrography (SeaBird CTD®), CDOM (WetLabs ALF®), phytoplankton functional types (PFTs, FlowCAM®), biomass (bbe Moldaenke AlgaeOnlineAnalyzer® and WetLabs ALF®) and phytoplankton photosynthetic competency (mini-FIRe) across microscale features encountered during a recent (Nov. 2014) cruise in support of NOAA's VIIRS ocean color satellite calibration and validation activities. When mapped against binned daily, Level 2 satellite images of Chl a, K_d490 and SST over the cruise period, these high-resolution in-situ data showed great correspondence with the satellite data, but more importantly allowed for identification of PFTs and water types associated with microscale features. Large assemblages of phytoplankton communities comprising of diatoms and diatom-diazotroph associations (DDAs), were found in mesohaline frontal zones. Despite their high biomass, these populations were characterized by low photosynthetic competency, indicative of a bloom at the end of its active growth possibly due to nitrogen depletion in the water. Other prominent PFTs such as Trichodesmium spp., Synechococcus spp. and cryptophytes, were also associated with specific water masses offering the promise and potential that ocean remote sensing reflectance bands when examined in the context of water types also measurable from space, could greatly enhance the utility of satellite measurements for biological oceanographic, carbon cycling and fisheries studies.

Proceedings Article | 11 September 2015 Paper

Electronic crosstalk in Terra MODIS thermal emissive bands

Junqiang Sun, Sriharsha Madhavan, Xiaoxiong Xiong, Menghua Wang

Proceedings Volume 9607, 96070V (2015) https://doi.org/10.1117/12.2188171

KEYWORDS: Sensors, MODIS, Long wavelength infrared, Calibration, Algorithm development, Photovoltaics, Contamination, Solids, Image quality, Infrared radiation

Read Abstract +

Proceedings Article | 10 December 2014 Paper

VIIRS RDR to SDR data processing for ocean color EDR

Liqin Tan, Menghua Wang, Junqiang Sun, Lide Jiang

Proceedings Volume 9261, 92611I (2014) https://doi.org/10.1117/12.2070555

KEYWORDS: Data processing, Calibration, Algorithm development, Data archive systems, Sensors, Satellites, Visible radiation, Data centers, Reflectivity, Near infrared

Read Abstract +

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 November 2014 Paper

Electronic crosstalk correction for terra long wave infrared photovoltaic bands

Junqiang Sun, Sriharsha Madhavan, Xiaoxiong Xiong, Menghua Wang

Proceedings Volume 9264, 926412 (2014) https://doi.org/10.1117/12.2069028

KEYWORDS: Sensors, MODIS, Long wavelength infrared, Photovoltaics, Calibration, Algorithm development, Contamination, Infrared photography, Infrared radiation, Solids

Read Abstract +

Proceedings Article | 19 November 2014 Paper

VIIRS reflective solar bands on-orbit calibration and performance: a three-year update

Junqiang Sun, Menghua Wang

Proceedings Volume 9264, 92640L (2014) https://doi.org/10.1117/12.2068964

KEYWORDS: Calibration, Sensors, Sun, Reflectivity, Diffusers, Seaborgium, Mirrors, Near infrared, Satellites, Algorithm development

Read Abstract +

Proceedings Article | 23 May 2014 Paper

Observations of ocean diurnal variations from the Korean geostationary ocean color imager (GOCI)

Menghua Wang, SeungHyun Son, Lide Jiang, Wei Shi

Proceedings Volume 9111, 911102 (2014) https://doi.org/10.1117/12.2053476

KEYWORDS: Satellites, Ocean optics, Atmospheric corrections, In situ metrology, MODIS, Environmental monitoring, Imaging systems, Ecosystems, Satellite imaging, Near infrared

Read Abstract +

The first geostationary ocean color satellite sensor, Geostationary Ocean Color Imager (GOCI) onboard the Korean Communication, Ocean, and Meteorological Satellite (COMS), which was launched in June of 2010 and has eight spectral bands from the blue to the near-infrared (NIR) wavelengths in 412–865 nm, can monitor and measure ocean phenomenon over a local area of the western Pacific region centered at 36°N and 130°E and covering ~2500 × 2500 km². Hourly measurements during daytime (i.e., eight images per day from local 9:00 to 16:00) are a unique capability of GOCI to be used for the short- and long-term regional ocean environmental monitoring.

A recent study from a collaboration between NOAA Center for Satellite Applications and Research (STAR) and Korean Institute of Ocean Science and Technology (KIOST) showed that the GOCI ocean color products such as normalized water-leaving radiance spectra, nLw(λ), for GOCI coverage region derived using an iterative NIR-corrected atmospheric correction algorithm (Wang et al., Opt. Express, vol. 20, 741–753, 2012) were significantly improved compared with the original GOCI data products and have a comparable data quality as from the Moderate Resolution Imaging Spectroradiometer (MODIS) on the Aqua in this region (Wang et al., Opt. Express, vol. 21, 3835–3849, 2013). It is also shown that the GOCI-derived ocean color data can be used to effectively monitor ocean phenomenon in the region such as tide-induced re-suspension of sediments, diurnal variations of ocean optical and biogeochemical properties, and horizontal advection of river discharge.

In this paper, we show some more recent results of GOCI-measured ocean diurnal variations in various coastal regions of the Bohai Sea, Yellow Sea, and East China Sea. With possibly eight-time measurements daily, GOCI provides a unique capability to monitor the ocean environments in near real-time, and GOCI data can be used to address the diurnal variability in the ecosystem of the GOCI coverage region. In addition, more in situ data measured around the Korean coastal regions are used to validate the GOCI ocean color data quality, including evaluation of ocean diurnal variations in the region. The GOCI results demonstrate that GOCI can effectively provide real-time monitoring of water optical, biological, and biogeochemical variability of the ocean ecosystem in the region.

Proceedings Article | 23 May 2014 Paper

Evaluation of in-situ radiometric data processing for calibration and validation of satellite ocean color remote sensing

Puneeta Naik, Menghua Wang

Proceedings Volume 9111, 911108 (2014) https://doi.org/10.1117/12.2053457

KEYWORDS: Satellites, Sensors, Bidirectional reflectance transmission function, Calibration, MODIS, In situ metrology, Data processing, Water, In situ remote sensing, Remote sensing

Read Abstract +

Proceedings Article | 16 October 2013 Paper

Evaluation of ocean color data processing schemes for VIIRS sensor using in-situ data of coastal AERONET-OC sites

S. Ahmed, A. Gilerson, S. Hlaing, A. Weidemann, R. Arnone, M. Wang

Proceedings Volume 8888, 88880H (2013) https://doi.org/10.1117/12.2028821

KEYWORDS: Calibration, Sensors, MODIS, Satellites, Data processing, Water, Avalanche photodetectors, Ocean optics, Atmospheric modeling, Aerosols

Read Abstract +

In the processing of Ocean Color (OC) data from sensor data recorded by Visible Infrared Imaging Radiometer Suite (VIIRS) aboard JPSS-Suomi satellite, NASA Ocean Biology Processing Group (OBPG) is deriving a continuous temporal calibration based on the on-board calibration measurements for the visible bands, and then reprocessing the full mission to produce a continuously calibrated sensor data record (SDR) product. In addition, a vicarious calibration during SDR to OC Level-2 processing is applied. In the latest processing the vicarious calibration is derived from the Marine Optical Buoy (MOBY) data, whereas in the initial processing it was derived from a sea surface reflectance model and a climatology of chlorophyll-a concentration. Furthermore, NASA has recently reprocessed the OC data for the entire VIIRS mission with lunar-based temporal calibration and updated vicarious gains. On the other hand, in fulfilling the mission of the U.S. National Oceanic and Atmospheric Administration (NOAA), the Interface Data Processing Segment (IDPS) developed by Raytheon Intelligence and Information Systems, for the processing of the environmental data products from sensor data records, has gained beta status for evaluation. As these processing schemes continue to evolve, monitoring the validity and assessments of the related VIIRS ocean color products are necessary, especially for coastal waters, to evaluate the consistency of these processing and calibration schemes. The ocean color component of the Aerosol Robotic Network (AERONET-OC) has been designed to support long-term satellite ocean color investigations through cross-site measurements collected by autonomous multispectral radiometer systems deployed above water. As part of this network, the Long Island Sound Coastal Observatory (LISCO) near New York City and WaveCIS in the Gulf of Mexico expand those observational capabilities with continuous monitoring as well as (for the LISCO site) additional assessment of the hyper-spectral properties of coastal waters. In the investigations carried out over a one and half year period dataset of VIIRS, based on the data from two coastal AERONET-OC sites, it has been observed that the VIIRS sensor captures well the seasonal and temporal variations in the nLw data, exhibiting significant correlation with in-situ data (R = 0.929 and 0.985 for LISCO and WaveCIS respectively). For the WaveCIS site, VIIRS nLw data retrievals are seen to be enhanced with each incremental adjustments of vicarious and calibration procedures. However, that is not the case for the LISCO site which exhibits more frequent occurrences of negative water-leaving radiances, while underestimation in VIIRS nLw data is further exacerbated. Strong consistency between the time-series nLw data retrieved from the VIIRS and MODIS sensors was also observed.

Proceedings Article | 3 June 2013 Paper

Evaluation of VIIRS ocean color data using measurements from the AERONET-OC sites

Samir Ahmed, Alex Gilerson, Soe Hlaing, Ioannis Ioannou, Menghua Wang, Alan Weidemann, Robert Arnone

Proceedings Volume 8724, 87240L (2013) https://doi.org/10.1117/12.2017756

KEYWORDS: MODIS, Satellites, Aerosols, Sensors, Calibration, Statistical analysis, Atmospheric corrections, Avalanche photodetectors, Data processing, Ocean optics

Read Abstract +

Proceedings Article | 4 November 2010 Paper

Sea ice optical properties in the Bohai Sea measured by MODIS-Aqua

Wei Shi, Menghua Wang

Proceedings Volume 7858, 78580L (2010) https://doi.org/10.1117/12.869282

KEYWORDS: Reflectivity, MODIS, Near infrared, Optical properties, Short wave infrared radiation, Atmospheric corrections, Algorithm development, Detection and tracking algorithms, Adaptive optics, Satellites

Read Abstract +

Proceedings Article | 29 October 2010 Paper

The diffuse attenuation coefficient model in the Yellow Sea for the Korean Geostationary Ocean Color Imager (GOCI)

SeungHyun Son, Menghua Wang

Proceedings Volume 7861, 78610F (2010) https://doi.org/10.1117/12.873335

KEYWORDS: Data modeling, Water, MODIS, Coastal modeling, Signal attenuation, In situ metrology, Satellites, Imaging systems, Satellite imaging, Biological research

Read Abstract +

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 +

Proceedings Article | 8 May 2003 Paper

Examples of aerosol model effects in SeaWiFS atmospheric correction

Menghua Wang

Proceedings Volume 4892, (2003) https://doi.org/10.1117/12.466819

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric corrections, Sensors, Atmospheric particles, Reflectivity, Ocean optics, Atmospheric sensing, Scattering, Data modeling

Read Abstract +

Proceedings Article | 15 November 2000 Paper

Calibration of SeaWiFS on orbit

Robert Barnes, Robert Eplee, Wayne Robinson, G. Schmidt, Frederick Patt, Sean Bailey, Menghua Wang, Charles McClain

Proceedings Volume 4135, (2000) https://doi.org/10.1117/12.494258

KEYWORDS: Calibration, Aerosols, Ocean optics, Atmospheric particles, Atmospheric corrections, Sun, Near infrared, Clouds, Atmospheric modeling, Scattering

Read Abstract +