Bo-Cai Gao

Dr. Bo-Cai Gao

Naval Research Lab
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Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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10 July 2003 in Journal of Geophysical Research: Atmospheres
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BGBo-Cai Gao
Bo-Cai Gao
YKYoram J. Kaufman
Yoram J. Kaufman

27 January 2014 in Remote Sensing
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JRJohn Ryan
John Ryan
CDCurtiss O. Davis
Curtiss O. Davis
NTNicholas B. Tufillaro
Nicholas B. Tufillaro
RKRaphael Kudela
Raphael Kudela
BGBo-Cai Gao
Bo-Cai Gao
As a demonstrator for technologies for the next generation of ocean color sensors, the Hyperspectral Imager for the Coastal Ocean (HICO) provides enhanced spatial and spectral resolution that is required to understand optically complex aquatic environments. In this study we apply HICO, along with satellite remote sensing and in situ observations, to studies of phytoplankton ecology in a dynamic coastal upwelling environment—Monterey Bay, CA, USA. From a spring 2011 study, we examine HICO-detected spatial patterns in phytoplankton optical properties along an environmental gradient defined by upwelling flow patterns and along a temporal gradient of upwelling intensification. From a fall 2011 study, we use HICO’s enhanced spatial and spectral resolution to distinguish a small-scale “red tide” bloom, and we examine bloom expansion and its supporting processes using other remote sensing and in situ data. From a spectacular HICO image of the Monterey Bay region acquired during fall of 2012, we present a suite of algorithm results for characterization of phytoplankton, and we examine the strengths, limitations, and distinctions of each algorithm in the context of the enhanced spatial and spectral resolution.

12 August 2017 in Remote Sensing
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BGBo-Cai Gao
Bo-Cai Gao
RLRong-Rong Li
Rong-Rong Li
Thin cirrus clouds frequently contaminate images acquired with either Landsat 7 ETM+ or the earlier generation of Landsat series satellite instruments. The situation has changed since the launch of the Landsat 8 Operational Land Imager (OLI) into space in 2013. OLI implemented a cirrus detecting channel (Band 9) centered within a strong atmospheric water vapor absorption band near 1.375 μm with a width of 30 nm. The specifications for this channel were the same as those specified for the NASA Moderate Resolution Imaging Spectroradiometer (MODIS) in the early 1990s. The OLI Band 9 has been proven to be very effective in detecting and masking thin cirrus-contaminated pixels at the high spatial resolution of 30 m. However, this channel has not yet been routinely used for the correction of thin cirrus effects in other OLI band images. In this article, we describe an empirical technique for the removal of thin cirrus scattering effects in OLI visible near infrared (IR) and shortwave IR (SWIR) spectral regions. We present results from applications of the technique to three OLI data sets. We also discuss issues associated with parallax anomalies in OLI data.

4 May 2012 in Applied Optics
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BGBo-Cai Gao
Bo-Cai Gao
RLRong-Rong Li
Rong-Rong Li
RLRobert L. Lucke
Robert L. Lucke
CDCurtiss O. Davis
Curtiss O. Davis
RBRichard M. Bevilacqua
Richard M. Bevilacqua
MCMichael R. Corson
Michael R. Corson
The Hyperspectral Imager for the Coastal Ocean (HICO) presently onboard the International Space Station (ISS) is an imaging spectrometer designed for remote sensing of coastal waters. The instrument is not equipped with any onboard spectral and radiometric calibration devices. Here we describe vicarious calibration techniques that have been used in converting the HICO raw digital numbers to calibrated radiances. The spectral calibration is based on matching atmospheric water vapor and oxygen absorption bands and extraterrestrial solar lines. The radiometric calibration is based on comparisons between HICO and the EOS/MODIS data measured over homogeneous desert areas and on spectral reflectance properties of coral reefs and water clouds. Improvements to the present vicarious calibration techniques are possible as we gain more in-depth understanding of the HICO laboratory calibration data and the ISS HICO data in the future.

18 September 2004 in Geophysical Research Letters
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BGBo-Cai Gao
Bo-Cai Gao
PCPui K. Chan
Pui K. Chan
RLRong‐Rong Li
Rong‐Rong Li
At present, the column amount of atmospheric water vapor over clear land surfaces and over oceanic areas with sun glint is operationally retrieved from radiances measured with near‐IR channels of the Moderate Resolution Imaging SpectroRadiometer (MODIS) instruments on board the NASA Terra and Aqua Spacecraft platforms. TPW over oceans has also been derived operationally from radiances measured by the Special Sensor Microwave Imagers (SSMI) on board different spacecraft. We report in this letter that a global water vapor data product with improved quality can be obtained by merging the monthly‐mean MODIS near‐IR TPW data over land and the SSMI TPW data over water surfaces. Major characteristics of the seasonal variations of TPW are described. Examples of water vapor anomalies associated with the 2002 El Niño event are presented. We expect that the merged TPW data product will have useful applications for the study of the global hydrological cycle.

5 July 2021 in Advances in Environmental and Engineering Research
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BGBo-Cai Gao
Bo-Cai Gao
RLRong-Rong Li
Rong-Rong Li
Passive high spatial resolution hyperspectral and multispectral imaging systems in the solar spectral region from aircraft and satellite platforms are being increasingly used for remote sensing of coastal waters and inland lakes. However, the remotely sensed data are often contaminated by the specular reflection of solar radiation at the air/water interface. Thus, the effects of sunglint need to be corrected. The purpose of sunglint correction is to remove the undesired specular reflected portion of radiance that does not carry any information about the water body and its bottom surface properties and to obtain the water-leaving radiance from the measured total radiance. In general, adequate treatment of the spectral variation of the sunglint effect with due consideration of the physics and the spectroscopy principles has not been done in previously reported hyperspectral sunglint removing techniques. In this study, a practical sunglint removing technique using either a shortwave infrared (SWIR) band or a near-infrared (NIR) band has been developed, where the liquid water absorption is sufficiently large, and the water-leaving radiance (in units of reflectance) is negligible. In the proposed method, proper consideration has been taken for the spectral Fresnel reflection in the wavelength range of 0.35–2.5 µm. Four cases of sunglint removal from hyperspectral imaging data acquired from two airborne imaging spectrometers have been presented.