Mr. Dong Zhang Profile

Dong Zhang

at Nanjing Univ

SPIE Involvement:

Author

Publications (10)

SPIE Journal Paper | 8 July 2013

Predicting water content using linear spectral mixture model on soil spectra

Huan Li, Changkuan Zhang, Ying Zhang, Dong Zhang, Jay Gao, Zheng Gong

JARS, Vol. 7, Issue 01, 073539, (July 2013) https://doi.org/10.1117/12.10.1117/1.JRS.7.073539

KEYWORDS: Soil science, Reflectivity, Spectral models, Particles, Statistical modeling, Data modeling, Remote sensing, Statistical analysis, Spectroscopy, Error analysis

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SPIE Journal Paper | 1 January 2011

Extraction of sea ice concentration based on spectral unmixing method

Dong Zhang, Changqing Ke, Bo Sun, Ruibo Lei, Xueyuan Tang

JARS, Vol. 5, Issue 1, 053552, (January 2011) https://doi.org/10.1117/12.10.1117/1.3643703

KEYWORDS: Neural networks, Image resolution, Spectral resolution, MODIS, Reflectivity, Data modeling, Evolutionary algorithms, Climatology, Calibration, Algorithm development

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Proceedings Article | 30 October 2009 Paper

Study on monitoring suspended sediment concentration in Sheyang River estuary using Hyperion

Yong Xu, Ying Zhang, Dong Zhang

Proceedings Volume 7498, 74981C (2009) https://doi.org/10.1117/12.831063

KEYWORDS: Reflectivity, Statistical modeling, Sensors, Coastal modeling, Earth observing sensors, Atmospheric corrections, Performance modeling, Remote sensing, Data modeling, Landsat

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Proceedings Article | 29 December 2008 Paper

Total inorganic nitrogen content distribution pattern in estuary region by means of hyperspectral remote sensing and water quality numeric simulation techniques

Xiang Lin, Dong Zhang, Ying Zhang, Yong Xu, Huan Li

Proceedings Volume 7285, 728549 (2008) https://doi.org/10.1117/12.815742

KEYWORDS: Tin, Reflectivity, Remote sensing, Nitrogen, Water, Computer simulations, Data modeling, Reverse modeling, Diffusion, Hyperspectral simulation

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Proceedings Article | 29 December 2008 Paper

The method of atmospheric correction for coastal case 2 water of Beijing-1 micro-satellite with MODIS

Yong Xu, Ying Zhang, Dong Zhang, Jitang Liu

Proceedings Volume 7285, 72850X (2008) https://doi.org/10.1117/12.812373

KEYWORDS: Atmospheric corrections, MODIS, Water, Sensors, Aerosols, Remote sensing, Atmospheric particles, Atmospheric modeling, Rayleigh scattering, Reflectivity

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Proceedings Article | 7 November 2008 Paper

High resolution surface sediment type mapping using hyperspectral image and field data in muddy intertidal flat area

Dong Zhang, Ying Zhang, Huan Li, Yong Xu

Proceedings Volume 7147, 71471C (2008) https://doi.org/10.1117/12.813249

KEYWORDS: Reflectivity, Data modeling, Hyperspectral imaging, Remote sensing, Vegetation, Associative arrays, Image processing, Statistical analysis, Image resolution, Image classification

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Proceedings Article | 7 November 2008 Paper

Research of image preprocessing methods for EO-1 Hyperion hyperspectral data in tidal flat area

Huan Li, Dong Zhang, Ying Zhang, Yong Xu

Proceedings Volume 7147, 71471G (2008) https://doi.org/10.1117/12.813253

KEYWORDS: Image processing, Atmospheric corrections, Reflectivity, Vegetation, Remote sensing, Hyperspectral imaging, Image quality, Atmospheric particles, Spectrometers, Sensors

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Proceedings Article | 3 November 2008 Paper

Application of MODIS on monitoring dissolved inorganic nitrogen and dissolved inorganic phosphorus in Haizhou Gulf

Yong Xu, Ying Zhang, Dong Zhang, Jitang Liu

Proceedings Volume 7145, 71450N (2008) https://doi.org/10.1117/12.813000

KEYWORDS: Nitrogen, MODIS, Phosphorus, Data modeling, Reflectivity, Absorption, Environmental monitoring, Statistical modeling, Spatial resolution, Performance modeling

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Proceedings Article | 17 October 2006 Paper

The modification and application of basin evapotranspiration simulation module in AVSWAT2000 distributed hydrological model

Wanchang Zhang, Dong Zhang, Congbin Fu

Proceedings Volume 6359, 63591K (2006) https://doi.org/10.1117/12.689995

KEYWORDS: Phase modulation, Solar radiation, Meteorology, Environmental sensing, Statistical analysis, Atmospheric modeling, Solar radiation models, Data modeling, Remote sensing, Stochastic processes

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Proceedings Article | 17 October 2006 Paper

Distributed hydrological modeling study with the dynamic water yielding mechanism and RS/GIS techniques

Dong Zhang, Wanchang Zhang

Proceedings Volume 6359, 63591M (2006) https://doi.org/10.1117/12.690016

KEYWORDS: Floods, Data modeling, Soil science, Calibration, Vegetation, Solar radiation models, Systems modeling, Remote sensing, Climatology, Atmospheric modeling

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Water yielding in the hydrologic cycle is a temporally and spatially varied process. However, water yielding mechanics expressed in hydrological simulations seldom accurately characterize such dynamic processes thus weakens the simulation capabilities of present hydrological modeling systems. In this study a conceptual distributed hydrological model entitled ESSI (infiltration Excess and Saturation excess Soil-water Integration model for hydrology) was developed for flooding simulation and long term water resource management studies by means of RS, GIS and data mining techniques. This distributed hydrological modeling system has three significant characteristics: 1) capable of determining temporally and spatially varied water yielding mechanics over the most basic simulated grid by comparing with real-time computed rainfall and soil water variables; 2) excellent weather adoptability to ensure the model perform excellently for either wet and dry watershed conditions; 3) fully distributed simulating capabilities enable the model output about 20 distributed hydrological process components in different time scales, i.e. evapotranspiration (potential and actual), canopy storage, and soil moisture contents in different soil depth etc. Calibration and validation of the modeling system was conducted on two carefully selected climatologically typical watersheds in China, one located in the typical humid climate condition of upper stream of the Hanjiang river Basin, gauged by the Jiangkou hydrometric station (drainage area: 2413 km²), and another the Yingluoxia watershed (drainage area: 10029 km²), situated in typical cold and arid Heihe Mountainous region. With the calibrated model parameters and the appropriate combination of hydrological simulating module, ESSI successfully reproduced the flooding events and long term hydrological processes for the both experiment watershed, which implies the model an excellent hydrological simulation tool under various weather conditions.

Showing 5 of 10 publications

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