Prof. Junsheng Li Profile

Prof. Junsheng Li

Associate Professor at Institute of Remote Sensing and Digital Earth

SPIE Involvement:

Author

Publications (9)

SPIE Journal Paper | 15 March 2017

Synthetic aperture radar detection and characteristic analysis of cyanobacterial scum in Lake Taihu

Ganlin Wang, Junsheng Li, Bing Zhang, Zhiqiang Cai, Fangfang Zhang, Qian Shen

JARS, Vol. 11, Issue 01, 012006, (March 2017) https://doi.org/10.1117/12.10.1117/1.JRS.11.012006

KEYWORDS: Synthetic aperture radar, Remote sensing, Satellites, Water, Clouds, Chemical analysis, Ocean optics, Backscatter, Statistical analysis, Radar

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Proceedings Article | 10 December 2014 Paper

MODIS surface reflectance product (MOD09) validation for typical inland waters in China

Shenglei Wang, Minhua Yang, Junsheng Li, Qian Shen, Fangfang Zhang

Proceedings Volume 9261, 92610F (2014) https://doi.org/10.1117/12.2068628

KEYWORDS: MODIS, Reflectivity, Aerosols, Atmospheric corrections, Remote sensing, Satellites, Water, Lutetium, Infrared radiation, Lithium

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Proceedings Article | 10 December 2014 Paper

Ulva prolifera monitoring by GF-1 wide field-of-view sensor data

Wenxiu Liang, Junsheng Li, Demin Zhou, Qian Shen, Fangfang Zhang, Haobin Zhang

Proceedings Volume 9261, 926104 (2014) https://doi.org/10.1117/12.2068619

KEYWORDS: Image segmentation, Remote sensing, Sensors, Reflectivity, Rayleigh scattering, Water, Visual analytics, Visualization, Statistical analysis, Ocean optics

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Proceedings Article | 10 December 2014 Paper

Colored dissolved organic matter inversion based on the spectral reflectance data of the Yuqiao Reservoir

YaMing Zhou, JunSheng Li, Qian Shen, FangFang Zhang

Proceedings Volume 9261, 92611K (2014) https://doi.org/10.1117/12.2068564

KEYWORDS: Absorption, Water, Reflectivity, Remote sensing, Optical properties, Scattering, Ocean optics, Light scattering, Water contamination, Absorbance

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Proceedings Article | 10 December 2014 Paper

An automatic method of monitoring water bodies based on GF-1 data

HaoBin Zhang, JunSheng Li, Nanping Xiang, Qian Shen, FangFang Zhang, Wenxiu Liang

Proceedings Volume 9261, 926103 (2014) https://doi.org/10.1117/12.2068815

KEYWORDS: Remote sensing, Reflectivity, Absorption, Vegetation, Rayleigh scattering, Satellites, Short wave infrared radiation, Infrared radiation, Sun, Image processing

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Proceedings Article | 29 December 2008 Paper

A HJ-1 satellite imagery oriented software system for water environmental monitoring

Yuangfeng Wu, Bing Zhang, Junsheng Li, Hao Zhang, Qian Shen, Di Wu

Proceedings Volume 7285, 72854W (2008) https://doi.org/10.1117/12.816018

KEYWORDS: Environmental monitoring, Satellites, Remote sensing, Satellite imaging, Water, Cameras, Sensors, Earth observing sensors, Imaging systems, Infrared cameras

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Proceedings Article | 19 February 2008 Paper

Investigation of atmospheric aerosol optical properties over Lake Taihu using MODIS and CE318 data

Fang-chao Hu, Bing Zhang, Zheng-chao Chen, Xia Zhang, Jun-sheng Li, Qian Shen, Qing-xi Tong

Proceedings Volume 6625, 66251F (2008) https://doi.org/10.1117/12.791215

KEYWORDS: Aerosols, Atmospheric modeling, Atmospheric particles, Reflectivity, Optical properties, MODIS, Scattering, Atmospheric optics, Remote sensing, Data modeling

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Aerosol model is a major obstacle for passive remote sensing of aerosol properties. For the continent or urban aerosol model does not fit the needs for more accurate retrieval, and the user defined aerosol model may be more near to the realistic condition in Taihu region. A method has been developed for retrieving the aerosol model and optical properties including polarization, i.e., scattering coefficient, asymmetry factor, single scattering albedo, scattering phase function and polar phase function. In Lake Taihu, the study area of our two combined remote sensing observations in the winter and summer 2006, we got water surface spectral data of ASD (Analytical Spectral Devices) by the ship, atmospheric data of CE318 sunphotometer on the shore, and the MODIS (Moderate Resolution Imaging Spcectroradiometer) image data on the TERRA Satellite. By using the nearly synchronous measurements of the data from surface spectrum and the sunphotometer with the image, and by use of the radiative transfer model 6S(Second Simulation of a Satellite Signal in the Solar Spectrum), varying the components of the aerosol type, a LUT (look up table) is made for the radiance on the satellite. When the total relative error of the new defined parameter for relative error is getting to the least, the aerosol type will be decided. Then, based on the determination of aerosol model, the atmospheric aerosol properties over Lake Taihu have been computed by using Mie theory and analyzed with the typical continental and urban aerosol models available in 6S. These results show that the user-defined aerosol model is a mix model of continent and urban which corresponds with previous studies. Moreover, they may be useful for resolving the vector RTE (radiative transfer equation). In this paper we tried to provide a method with the combination of remote sensing data to obtain the optical properties of atmospheric aerosol over inland water in different seasons. We respect it will be helpful for accurate atmospheric correction in the future.

Proceedings Article | 15 November 2007 Paper

Atmospheric correction algorithm for MODIS data of inland waters by using short-wave infrared bands

Junsheng Li, Bing Zhang, Qian Shen, Xia Zhang, Zhengchao Chen

Proceedings Volume 6787, 678706 (2007) https://doi.org/10.1117/12.750520

KEYWORDS: MODIS, Atmospheric corrections, Algorithm development, Remote sensing, Reflectivity, Short wave infrared radiation, Infrared radiation, Aerosols, Scattering, Atmospheric optics

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Proceedings Article | 1 November 2005 Paper

A hyperspectral-environmental database in China

Xing Li, Xingtang Hu, Bing Zhang, Xia Zhang, Junsheng Li, Xiaoying Li

Proceedings Volume 5983, 59831O (2005) https://doi.org/10.1117/12.627356

KEYWORDS: Databases, Environmental monitoring, Remote sensing, Water contamination, Environmental sensing, Water, Image processing, Lithium, Data processing, Data storage

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Showing 5 of 9 publications

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