Ms. Haiqing Huang Profile

Haiqing Huang

Senior Engineer at Second Institute of Oceanography SOA

SPIE Involvement:

Author

Publications (39)

Proceedings Article | 23 January 2024 Paper

Two-channel thermal infrared brightness temperature characteristics of sea fog using FY4A data

Dengfeng Li, Zengzhou Hao, Zhihua Mao, Haiqing Huang

Proceedings Volume 12978, 129781J (2024) https://doi.org/10.1117/12.3019410

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Proceedings Article | 14 October 2019 Paper

The spatial distribution of salinity in the Pearl River Estuary in China from space

Zengzhou Hao, Qianguang Tu, Haiqing Huang, Difeng Wang, Yan Bai, Zhihua Mao

Proceedings Volume 11150, 1115016 (2019) https://doi.org/10.1117/12.2532373

KEYWORDS: Satellites, Microwave radiation, Radiometry, Absorption, L band, New and emerging technologies, Electromagnetic coupling, Diffusion

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Sea surface salinity of ocean waters has been obtained from L-band microwave radiometer on satellite, such SMOS, Aquarius and SMAP. It provides a new technology and way to observe the salinity over large region from space. However, it is still difficult to get the sea surface salinity of the coastal waters due to that the effect on satellite-observed microwave radiance of radio frequency interference over near-shore regions. Fortunately, the colored dissolved organic matter (CDOM) has conservative or semi-conservative property in the freshwater areas of coastal rivers and it has a good linear correlation between the absorption coefficient of CDOM and salinity. Based on those, a conservative mixing relationship between the fresh water from the Pearl River and the sea water from the South China Sea are established and the distribution of sea surface salinity from MODIS-retrieved absorption coefficient of CDOM (a_CDOM) at 355nm wavelength in this study. The linear relationship between salinity and aCDOM at 355 nm under conservative mixing conditions can be established from the in-situ observed salinity and MODIS-retrieved a_CDOM at 355 nm at the central water mass in the Pearl River Estuary and the northern basin region of South China Sea. By comparing daily observed MODIS-retrieved sea surface salinity with the in-site observed salinity, it shows that the salinity retrieved from satellite-based a_CDOM has good agreement with observations, and it can better capture the location of low salinity fresh water in the Pearl River. For the summer averaged satellite-based salinity from 2002 to 2018, sea surface salinity are gradually increases from the vertical coastline to the sea in the Pearl River Estuary region. The salinity in coastal region is low by the effect of the Pearl River diluted water, and the salinity in offshore region is high. On average, the distribution of salinity shows that the diffusion of fresh water from the Pearl River generally spread along the coastline to the east and west in summer, while the runoff on the westward is larger and on the eastward it is affected by some flushing water of other rivers. In the future, MODIS-retrieved salinity can be as a supplement to salinity inversion of Microwave radiometer in the coastal region.

Proceedings Article | 14 October 2019 Paper

An unsupervised feature learning method to distinguish Sargassum

Feng Ye, Zengzhou Hao, Yanlong Chen, Fang Gong, Haiqing Huang, Difeng Wang

Proceedings Volume 11150, 1115012 (2019) https://doi.org/10.1117/12.2532576

KEYWORDS: Satellites, Remote sensing, Neural networks, Environmental monitoring, Feature extraction

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Proceedings Article | 10 October 2018 Paper

Validation of a green-red quasi-analytical algorithm for inherent optical properties in East China Sea

Liangliang Shi, Zhihua Mao, Zheng Wang, Yiwei Zhang, Zengzhou Hao, Qiankun Zhu, Difeng Wang, Fang Gong, Haiqing Huang

Proceedings Volume 10784, 1078414 (2018) https://doi.org/10.1117/12.2325484

KEYWORDS: Algorithm development, Absorption, Remote sensing, Reflectivity, Optical properties, Calibration, Satellites, In situ remote sensing, Optical filters, Absorbance

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SPIE Journal Paper | 28 July 2018

Evaluation of the performance of Suomi-NPP OMPS nadir mapper products using station measurements and OMI data

Yiwei Zhang, Zhihua Mao, Bangyi Tao, Kaixu Bai, Peng Chen, Liangliang Shi, Haiqing Huang, Zheng Wang

JARS, Vol. 12, Issue 04, 042602, (July 2018) https://doi.org/10.1117/12.10.1117/1.JRS.12.042602

KEYWORDS: Ozone, Satellites, Ultraviolet radiation, Earth observing sensors, Remote sensing, Associative arrays, Spectrometers, Algorithms, Atmospheric monitoring, Atmospheric sciences

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Proceedings Article | 13 October 2017 Paper

Laser induced fluorescence technique for detecting organic matter in East China Sea

Peng Chen, Tianyu Wang, Delu Pan, Haiqing Huang

Proceedings Volume 10422, 104220Y (2017) https://doi.org/10.1117/12.2277105

KEYWORDS: Laser induced fluorescence, Luminescence, Fluorescence spectroscopy, Absorption, Deconvolution, Raman spectroscopy, Spectrophotometry, Temperature metrology, Laser spectroscopy, Laser development

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Proceedings Article | 5 December 2016 Paper

Retrieval of chlorophyll in Hangzhou Bay based on hyperspectral satellite

Qiankun Zhu, Haiqing Huang, Feng Mao, Qiliang Hu, Qian Cheng

Proceedings Volume 9999, 99990V (2016) https://doi.org/10.1117/12.2240837

KEYWORDS: Remote sensing, Data modeling, Analytical research, Coastal modeling, Hyperspectral imaging, Satellites, Reflectivity, Statistical modeling, Atmospheric modeling, Water

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Proceedings Article | 19 October 2016 Paper

Impact of sea surface temperature on satellite retrieval of sea surface salinity

Xuchen Jin, Qiankun Zhu, Xianqiang He, Peng Chen, Difeng Wang, Zengzhou Hao, Haiqing Huang

Proceedings Volume 9999, 99990W (2016) https://doi.org/10.1117/12.2240841

KEYWORDS: Satellites, Dielectric polarization, Microwave radiation, Radiometry, L band, Soil science, Water, Dielectrics, Sun, Data modeling

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Currently, global sea surface salinity (SSS) can be retrieved by the satellite microwave radiometer onboard the satellite, such as the Soil Moisture and Ocean Salinity(SMOS) and the Aqurius. SMOS is an Earth Explorer Opportunity Mission from the European Space Agency(ESA). It was launched at a sun-synchronous orbit in 2009 and one of the payloads is called MIRAS(Microwave Imaging Radiometer using Aperture Synthesis), which is the first interferometric microwave radiometer designed for observing SSS at L-band(1.41 GHz).The foundation of the salinity retrieval by microwave radiometer is that the sea surface radiance at L-band has the most suitable sensitivity with the variation of the salinity. It is well known that the sensitivity of brightness temperatures(TB) to SSS depends on the sea surface temperature (SST), but the quantitative impact of the SST on the satellite retrieval of the SSS is still poorly known. In this study, we investigate the impact of the SST on the accuracy of salinity retrieval from the SMOS. First of all, The dielectric constant model proposed by Klein and Swift has been used to estimate the vertically and horizontally polarized brightness temperatures(TV and TH) of a smooth sea water surface at L-band and derive the derivatives of TV and TH as a function of SSS to show the relative sensitivity at 45° incident angle. Then, we use the GAM(generalized additive model) method to evaluate the association between the satellite-measured brightness temperature and in-situ SSS at different SST. Moreover, the satellite-derived SSS from the SMOS is validated using the ARGO data to assess the RMSE(root mean squared error). We compare the SMOS SSS and ARGO SSS over two regions of Pacific ocean far from land and ice under different SST. The RMSE of retrieved SSS at different SST have been estimated. Our results showed that SST is one of the most significant factors affecting the accuracy of SSS retrieval. The satellite-measured brightness temperature has a higher sensitivity with SSS variation and better accuracy of SSS retrieval at higher SST. For the most open oceans where surface salinity is typically greater than 32 psu, the sensitivity is around 0.2-0.25 K/psu for both vertical polarization and horizontal polarization when SST is 5°C,and the TB is more sensitive to the SSS for vertical polarization than horizontal polarization with the increase of SST. When SST increases to 30°C, the sensitivity is around 0.8 K/psu for vertical polarization which is about 40% larger than it of the horizontal polarization. In addition, the result of GAM model indicates that satellite-measured brightness temperature has better correlation with in-situ SSS at higher SST. The mean absolute error of the SMOS-derived SSS is around 0.9 psu when SST is 15°C, and decreases to 0.4 psu when the SST is 30°C.

Proceedings Article | 19 October 2016 Paper

A temperature calibration method for CDOM fluorescence LIF LiDAR

Peng Chen, Zhihua Mao, Haiqing Huang, Yan Bai, Tianyu Wang

Proceedings Volume 9999, 99990Y (2016) https://doi.org/10.1117/12.2241140

KEYWORDS: Luminescence, Laser induced fluorescence, Temperature metrology, Calibration, LIDAR, Raman scattering, Sensors, Water, Raman spectroscopy, Ocean optics

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Proceedings Article | 14 October 2015 Paper

Restoration of cloud contaminated ocean color images using numerical simulation

Xuefei Yang, Zhihua Mao, Jianyu Chen, Haiqing Huang

Proceedings Volume 9638, 96380L (2015) https://doi.org/10.1117/12.2193112

KEYWORDS: Clouds, Remote sensing, Data modeling, Coastal modeling, Satellites, Satellite imaging, Earth observing sensors, Numerical simulations, 3D modeling, Numerical modeling

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Proceedings Article | 18 November 2014 Paper

Numerical simulation of suspended sediment transport merging with satellite derived data in coastal waters

Xuefei Yang, Zhihua Mao, Haiqing Huang, Tianyu Wang, Dong Liu

Proceedings Volume 9265, 92650E (2014) https://doi.org/10.1117/12.2068510

KEYWORDS: Data modeling, Satellites, Numerical simulations, Remote sensing, 3D modeling, Coastal modeling, Computer simulations, Calibration, Algorithm development, Humidity

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Proceedings Article | 8 November 2014 Paper

Dynamic monitoring of lake based on HJ-CCD Images: a case study of Poyang Lake

Dong Liu, Haiqing Huang, Fang Gong, Qiankun Zhu, Xuefei Yang

Proceedings Volume 9260, 926039 (2014) https://doi.org/10.1117/12.2068949

KEYWORDS: Visualization, Remote sensing, Water, Satellites, Spatial resolution, Natural disasters, Floods, Satellite imaging, Atmospheric corrections, Feature extraction

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Proceedings Article | 8 October 2014 Paper

Changes of built-up areas at the beginning of the 21st century in Zhejiang Province, China

Dong Liu, Haiqing Huang, Fang Gong, Jianyu Chen, Qiankun Zhu, Yan Li

Proceedings Volume 9221, 92210K (2014) https://doi.org/10.1117/12.2060349

KEYWORDS: Remote sensing, Geographic information systems, Image sensors, Image segmentation, Associative arrays, Ecosystems, Image processing, Sensor calibration, Satellites

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Proceedings Article | 8 October 2014 Paper

Retrieval of total suspended matter in highly turbid waters of Hangzhou Bay using polarizing spectra data

Jia Liu, Qiankun Zhu, Fang Gong, Xianqiang He, Jianyu Chen, Haiqing Huang

Proceedings Volume 9221, 92210S (2014) https://doi.org/10.1117/12.2061310

KEYWORDS: Remote sensing, Reflectivity, Algorithm development, Polarization, Satellites, Ecosystems, 3D modeling, In situ remote sensing, In situ metrology, Water

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Proceedings Article | 8 October 2014 Paper

Monitoring the dynamic of suspended sediment using tower-based water spectrum observing system in the Hangzhou Bay

Qian Dai, Fang Gong, Haiqing Huang, Xianqiang He, Jianyu Chen, Qiankun Zhu

Proceedings Volume 9221, 92210Q (2014) https://doi.org/10.1117/12.2061267

KEYWORDS: Water, Floods, Sun, Satellites, Data processing, Ocean optics, Remote sensing, Sensors, Earth observing sensors, Temporal resolution

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Proceedings Article | 25 September 2014 Open Access

Lidar monitoring of organic matter in the Pearl River estuary (withdrawal notice)

Peng Chen, Delu Pan, Chuanwen Hu, Jianyu Chen, Haiqing Huang

Proceedings Volume 9218, 92181O (2014) https://doi.org/10.1117/12.2060360

KEYWORDS: Luminescence, Laser induced fluorescence, Deconvolution, Raman scattering, Absorption, LIDAR, Ocean optics, Spectroscopy, Laser spectroscopy, Fluorometers

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Proceedings Article | 24 September 2013 Paper

Absorption coefficient of CDOM in Zhejiang coastal waters

Guannan Fan, Zhihua Mao, Peng Chen, Haiqing Huang

Proceedings Volume 8869, 88690U (2013) https://doi.org/10.1117/12.2022725

KEYWORDS: Absorption, Water, Optical properties, Remote sensing, Oceanography, Carbon, Ultraviolet radiation, Visible radiation, Ocean optics, Ions

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Proceedings Article | 24 September 2013 Paper

Inversion of suspended sediment concentration at the Hangzhou Bay based on the high-resolution satellite HJ-1A/B imagery

Qinghui Meng, Zhihua Mao, Haiqing Huang, Yuzhang Shen

Proceedings Volume 8869, 88690W (2013) https://doi.org/10.1117/12.2022698

KEYWORDS: Charge-coupled devices, Atmospheric modeling, Data modeling, Satellites, Atmospheric corrections, Remote sensing, Reflectivity, CCD image sensors, Sensors, Lithium

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Proceedings Article | 24 September 2013 Paper

Quality control of satellite-retrieved sea surface temperature

Qianguang Tu, Delu Pan, Zengzhou Hao, Haiqing Huang, Fang Gong, DongSheng Shi

Proceedings Volume 8871, 88710Q (2013) https://doi.org/10.1117/12.2022704

KEYWORDS: Satellites, MODIS, Infrared radiation, Clouds, Contamination, Radiometry, Infrared imaging, Oceanography, Statistical analysis, Atmospheric modeling

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Proceedings Article | 17 September 2013 Paper

Analysis of the characters of chromophoric dissolved organic matter in water using laser induced fluorescence and spectral fluorescence signature

Peng Chen, Zhihua Mao, Haiqing Huang

Proceedings Volume 8872, 88720N (2013) https://doi.org/10.1117/12.2022703

KEYWORDS: Luminescence, Laser induced fluorescence, Scattering, Raman scattering, Absorption, Laser scattering, Raman spectroscopy, Signal attenuation, Spectroscopy, Ocean optics

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Proceedings Article | 13 October 2011 Paper

Relationship between the colored dissolved organic matter and dissolved organic carbon and the application on remote sensing in East China Sea

Liu Qiong, Delu Pan, Haiqing Huang, Jianxin Lu, Qiankun Zhu

Proceedings Volume 8175, 81751A (2011) https://doi.org/10.1117/12.897865

KEYWORDS: Satellites, Data modeling, Carbon, Absorption, Remote sensing, Satellite imaging, Earth observing sensors, Optical filters, Oceanography, Water

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Proceedings Article | 13 October 2011 Paper

The buoy-based reversion of regional thermocline integrated with satellite observed SST in the margins off the Changjiang Estuary

Lijin Liang, Jianyu Chen, Xiaoyan Chen, Difeng Wang, Haiqing Huang, Fang Gong

Proceedings Volume 8175, 81751N (2011) https://doi.org/10.1117/12.898170

KEYWORDS: Hypoxia, Satellites, Oxygen, Data modeling, Earth observing sensors, Computer simulations, Physics, Databases, Data centers, Statistical analysis

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Hypoxia has been widely observed in estuarine area and some reports have focused on the East China Sea over the past decade. With the increasing nutrient load from Changjiang (Yangtze) River, a severe hypoxia zone was found in summer. The mechanism and maintenance of hypoxia is due to the large density stratification caused by the significant salinity difference between the fresh plume and salty water. Consumption of oxygen in bottom waters is linked to biological oxygen demand fueled by organic matter from primary production in the nutrient-rich river plume. Hypoxia occurs when this consumption exceeds replenishment by diffusion, turbulent mixing or lateral advection of oxygenated water. The margins off the Changjiang are affected the most by summer hypoxia. Physical thermohaline stratification plays an important role in the Changjiang shelf during summer. In this study, we discusses the relationship between hypoxia and the stratification according to the surface temperature reversed from satellite, in situ observed data and time series of profile data obtained from hypoxia buoy, which was especially designed for hypoxia identification. We examined the occurrence of seasonal hypoxia in the bottom waters of river-dominated ocean margins off the Changjiang River and compared the stratification procedure leading to the depletion of oxygen. A simulation for stratification was performed to calculate the seawater temperature vertical profile. By collecting the historical investigated data, we constructed a parametric structural model between surface and bottom temperature. Based on the parameterization of the layered structure of seawater temperature vertical profile, the simulation method was used to calculate the parameter distributions of stratification structure. When the real time outputs of SST and buoy-based profile were received, the parametric model figured a set of major characteristic parameters of each profile directly: sea surface temperature, mixed layer depth, thermocline depth, and temperature gradient. Hence, the approach would achieve the goal of reconstructing the regional thermocline profile directly. The thermocline reflects the ocean temperature field's important physics characteristics, and can be used in analysis of the influence on the exchange of the oxygen.

Proceedings Article | 13 October 2011 Paper

The use of MERIS fluorescence bands for red tides monitoring in the East China Sea

Bangyi Tao, Zhihua Mao, Difeng Wang, Jianxin Lu, Haiqing Huang

Proceedings Volume 8175, 81751K (2011) https://doi.org/10.1117/12.898056

KEYWORDS: Reflectivity, Remote sensing, Luminescence, Water, Satellites, Oceanography, Algorithm development, RGB color model, Ocean optics, Detection and tracking algorithms

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Proceedings Article | 13 October 2011 Paper

Optical absorption and scattering properties in the East China Sea

Xuan Zhang, Xian-qiang He, Xiao-yan Chen, Zeng-zhou Hao, Haiqing Huang, Qiankun Zhu

Proceedings Volume 8175, 81751C (2011) https://doi.org/10.1117/12.897873

KEYWORDS: Absorption, Backscatter, Scattering, Mouth, Signal attenuation, Ocean optics, Water, Optical properties, Remote sensing, Light scattering

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The absorption and particulate backscattering coefficients are the basic parameters of the water inherent optical properties (IOPs), which are also the basic parameters for the development and validation of the semi-analysis models of the ocean color remote sensing. In this work, the absorption and backscattering coefficients in the East China Sea (ECS) were measured in the summer and winter of 2009 using the three in-situ optical instruments, including the WET Labs acs, and the HOBI Labs HydroScat-6. Based on the in-situ measured data, the distribution of the absorption and backscattering coefficients in the ECS are analyzed. The results show that in the summer the water absorption coefficient at 440nm (a(440nm),excluding the absorption of the pure sea water) in the surface layer is ranged from 0.022 to 0.067 m-1, and the particulate backscattering coefficient at 442nm(bbp(442nm), is between 0.00064 and 0.03274 m-1. As a whole, both of the absorption and backscattering coefficients decrease with the offshore direction, and the high values located at the mouth of Changjiang River. In the winter, a(440nm) is between 0.051 and 0.887 m-1, and bbp(442nm) is ranged from 0.000639 to 0.14614 m-1 at the surface layer. The spatial distributions in winter are similar as the summer, with the high value in the coast and low value in the offshore. The absorption and backscattering coefficients in winter are significantly larger than the summer's, especially in coastal area near the mouth of Changjiang River, which maybe caused by the southward Fujian-Zhejiang coastal current occurring in winter. As the vertical profile distributions, we find that both of the absorption and backscattering coefficients present a layer structure, which caused by the stratification of the sea water in the summer; while in the winter, affected by the strong wind disturbing, both of the absorption and backscattering coefficients are thoroughly vertical mixing. To our knowledge, it is the first time giving the distribution of the absorption and backscattering coefficients in the East China Sea.

Proceedings Article | 29 December 2008 Paper

Statistic study of effect of the sea surface temperature caused by typhoon based on remote sensing

Dongyang Fu, Delu Pan, Youzhuan Ding, Haiqing Huang

Proceedings Volume 7153, 715312 (2008) https://doi.org/10.1117/12.804901

KEYWORDS: Remote sensing, Satellites, Composites, MODIS, Data fusion, Oceanography, Electroluminescence, Radiometry, Wind measurement, Data centers

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Proceedings Article | 19 December 2008 Paper

The second Chinese ocean color satellite HY-1B and future plans

Haiqing Huang, Yan Zhou, Delu Pan, Yan Bai

Proceedings Volume 7150, 71501N (2008) https://doi.org/10.1117/12.804895

KEYWORDS: Satellites, Water, Calibration, Atmospheric corrections, Remote sensing, Sensors, Ocean optics, Algorithm development, Aerosols, Oceanography

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Proceedings Article | 19 December 2008 Paper

Comparison between the spectral diffuse attenuation coefficients and the IOP parameters

Zhihua Mao, Yan Zhou, Haiqing Huang, Yan Bai

Proceedings Volume 7150, 71500C (2008) https://doi.org/10.1117/12.804814

KEYWORDS: Absorption, Signal attenuation, Backscatter, Data modeling, Clouds, Sun, Lutetium, Optical properties, Spectroscopy, Particles

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Proceedings Article | 8 December 2008 Paper

Validation of MODIS aerosol optical depth retrievals over the China Sea

Xueliang Deng, Dongyan He, Haiqing Huang, Delu Pan

Proceedings Volume 7152, 71520L (2008) https://doi.org/10.1117/12.804892

KEYWORDS: MODIS, Aerosols, Ocean optics, Clouds, Atmospheric particles, Satellites, Robotics, Climatology, Scientific research, Data acquisition

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Proceedings Article | 13 October 2008 Paper

Seasonal variation of absorption spectral characteristics of CDOM and de-pigmented particles in East China Sea

Hui Lei, Yan Bai, Haiqing Huang, Delu Pan, Zhihua Mao

Proceedings Volume 7105, 71050R (2008) https://doi.org/10.1117/12.799707

KEYWORDS: Particles, Absorption, Algorithm development, Remote sensing, Signal detection, Ocean optics, In situ remote sensing, Data modeling, Spectral models, Water

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Proceedings Article | 12 November 2007 Paper

A WebGIS system on the base of satellite data processing system for marine application

Gong Fang, Difeng Wang, Haiqing Huang, Jianyu Chen

Proceedings Volume 6749, 67492D (2007) https://doi.org/10.1117/12.737634

KEYWORDS: Satellites, Databases, Logic, Data processing, Remote sensing, Geographic information systems, Oceanography, Java, Control systems, Ocean optics

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Proceedings Article | 8 December 2006 Paper

Detection of sea fog over China Seas from NOAA/AVHRR3

Zengzhou Hao, Delu Pan, Zhihua Mao, Fang Gong, Haiqing Huang

Proceedings Volume 6408, 64081A (2006) https://doi.org/10.1117/12.693719

KEYWORDS: Fiber optic gyroscopes, Clouds, Satellites, Reflectivity, Visible radiation, Infrared radiation, Earth observing sensors, Water, Image segmentation, Calibration

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Proceedings Article | 8 December 2006 Paper

Matching clouds and shadows based on high-resolution satellite image

Xiaodong Chen, Jianyu Chen, Delu Pan, Zhihua Mao, Haiqing Huang

Proceedings Volume 6408, 640819 (2006) https://doi.org/10.1117/12.693703

KEYWORDS: Clouds, Image resolution, Satellite imaging, Satellites, Remote sensing, Image processing, Earth observing sensors, Image segmentation, Distance measurement, High resolution satellite images

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Proceedings Article | 8 December 2006 Paper

Optical characteristic and particle composition in China Yellow Sea and East China Sea

Yan Bai, Delu Pan, Xianqiang He, Zhihua Mao, Haiqing Huang

Proceedings Volume 6404, 64040X (2006) https://doi.org/10.1117/12.692983

KEYWORDS: Scanning probe microscopy, Absorption, Particles, Scattering, Water, Ocean optics, Remote sensing, Algorithm development, Optical properties, Satellites

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Proceedings Article | 28 November 2006 Paper

Evaluation of the CMODIS-measured radiance

Zhihua Mao, Delu Pan, Haiqing Huang

Proceedings Volume 6406, 640606 (2006) https://doi.org/10.1117/12.691783

KEYWORDS: Sensors, Calibration, Atmospheric modeling, Satellites, Aerosols, Rayleigh scattering, Atmospheric particles, Scattering, Remote sensing, Atmospheric sensing

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A Chinese Moderate Resolution Imaging Spectrometer (CMODIS) on "Shenzhou-3" spaceship was launched on March 25, 2002. CMODIS has 34 channels, with 30 visible and near-infrared channels and 4 infrared channels. The 30 channels are 20nm width with wavelength ranging from 403nm to 1023nm. The radiance calibration of CMODIS was finished in the laboratory measurements before it was launched and the laboratory calibration coefficients were used to calibrate the CMODIS raw data. Since none of on-board radiance absolute calibration devices including internal lamps system and calibration system which is based on solar reflectance and lunar irradiance were installed with the sensor, how about the accuracy of CMODIS-measured radiance is a key question for the remote sensing data processing and ocean applications. A new model was developed as a program to evaluate the accuracy of calibrated radiance measured by CMODIS at the top of the atmosphere (TOA). The program can compute the Rayleigh scattering radiance and aerosol scattering radiance together with the radiance component from the water-leaving radiance to deduce the total radiance at TOA under some similar observation conditions of CMODIS. Both the multiple-scattering effects and atmosphere absorbing effects are taken into account on the radiative transfer model to improve the accuracy of atmospheric scattering radiances. The model was used to deduce the spectral radiances at TOA and compared with the radiances measured by Sea-viewing Wide Field-of-view Sensor (SeaWiFS) to check the performance of the model, showing that the spectral radiances from the model with small differences from those of SeaWiFS. The spectral radiances of the model can be taken as reference values to evaluate the accuracy of CMODIS calibrated radiance. The relative differences of the two radiances are large from 16% to 300%, especially for CMODIS at the near-infrared channels with more than one time larger than those of the model. It is shown that the calibration coefficients from the laboratory measurements are not reliable and the radiance of CMODIS needs to be recalibrated before the data are used for oceanography applications. The results show that the model is effective in evaluating the CMODIS sensor and easily to be modified to evaluate other kinds of ocean color satellite sensors.

Proceedings Article | 28 November 2006 Paper

Preliminarily study on coastal water quality classification by satellite data

Delu Pan, Xiaoyu Zhang, Haiqing Huang, Zhihua Mao

Proceedings Volume 6406, 64060F (2006) https://doi.org/10.1117/12.692433

KEYWORDS: Water, Satellites, Remote sensing, Ocean optics, Phosphorus, Nitrogen, Image classification, Classification systems, Magnesium, Pollution

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Proceedings Article | 28 November 2006 Paper

Atmospheric correction for channel 1 and 2 of MODIS

Qian Cheng, Delu Pan, Haiqing Huang, Zhihua Mao

Proceedings Volume 6406, 64061E (2006) https://doi.org/10.1117/12.692979

KEYWORDS: Atmospheric corrections, MODIS, Meteorology, Reflectivity, Atmospheric particles, Aerosols, Satellites, Visibility, Atmospheric sensing, Remote sensing

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Proceedings Article | 28 October 2006 Paper

CMODIS/SZ-3 data procession and marine environment products

Delu Pan, Xianqiang He, Zhihau Mao, Haiqing Huang

Proceedings Volume 6419, 641904 (2006) https://doi.org/10.1117/12.712599

KEYWORDS: Ocean optics, Calibration, Water, Sensors, Data processing, Oceanography, Environmental sensing, Satellites, Atmospheric corrections, Radiometry

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Proceedings Article | 28 October 2006 Paper

The atmospheric correction procedure for CMODIS

Zhihua Mao, Delu Pan, Haiqing Huang

Proceedings Volume 6419, 64191V (2006) https://doi.org/10.1117/12.713271

KEYWORDS: Atmospheric corrections, Aerosols, Rayleigh scattering, Satellites, Scattering, Atmospheric particles, Sensors, Algorithm development, Data processing, Calibration

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Proceedings Article | 8 May 2003 Paper

Atmospheric correction algorithm of SeaWiFS data in China Sea

Zhihua Mao, Haiqing Huang, Qiankun Zhu, Delu Pan

Proceedings Volume 4892, (2003) https://doi.org/10.1117/12.466103

KEYWORDS: Aerosols, Atmospheric corrections, Scattering, Sensors, Satellites, Data processing, Algorithm development, Error analysis, Ocean optics, Atmospheric sensing

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