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Zhubin Zheng

Researcher at Nanjing Normal University

Publications -  17
Citations -  632

Zhubin Zheng is an academic researcher from Nanjing Normal University. The author has contributed to research in topics: Eutrophication & Geostationary Ocean Color Imager. The author has an hindex of 12, co-authored 15 publications receiving 371 citations. Previous affiliations of Zhubin Zheng include Nanjing University.

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Landsat-Based Long-Term Monitoring of Total Suspended Matter Concentration Pattern Change in the Wet Season for Dongting Lake, China

TL;DR: An algorithm based on the near-infrared (NIR) band was developed and applied to Landsat images to derive TSM distribution maps from 1978 to 2013 in the wet season, revealing significant inter-annual and spatial variability.
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Remote sensing of diffuse attenuation coefficient patterns from Landsat 8 OLI imagery of turbid inland waters: A case study of Dongting Lake.

TL;DR: The empirical band-ratio algorithm worked well, not only for the broader Landsat archives, but also for the narrower Sentinel-2/3 for Kd(490) estimation, which demonstrates that the algorithm could be used to quantitatively monitor multi-decade records of Landsat observations and future applications of inland water quality in turbid inland waters, such as Dongting Lake and Poyang Lake.
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Remote observation of water clarity patterns in Three Gorges Reservoir and Dongting Lake of China and their probable linkage to the Three Gorges Dam based on Landsat 8 imagery.

TL;DR: A new, robust remote-sensing algorithm is proposed to estimate ZSD from OLI imagery using red and green band-ratio, which demonstrates similar results to MODIS and could be suitable for other turbid lakes or reservoirs to formulate related strategies of water quality management in the middle and lower Yangtze River basin.
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An OLCI-based algorithm for semi-empirically partitioning absorption coefficient and estimating chlorophyll a concentration in various turbid case-2 waters

TL;DR: In this article, an improved Quasi-Analytical Algorithm (QAA) was proposed for retrieving Chla concentrations from remote sensing reflectance (Rrs(λ)) which can be applied to Sentinel-3 Ocean and Land Colour Instrument (OLCI) images in turbid case-2 waters.
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Estimation of total phosphorus concentration using a water classification method in inland water

TL;DR: Improved the accuracy of TP inversion by combining the new classification algorithm with DRF, which is significant for the development of class-based water quality parameter inversion algorithms for water color remote sensing.