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

doi:10.1117/12.815742

29 December 2008 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

Author Affiliations +

Proceedings Volume 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA); 728549 (2008) https://doi.org/10.1117/12.815742
Event: International Conference on Earth Observation Data Processing and Analysis, 2008, Wuhan, China

Abstract

Quantitative analysis of the temporal and spatial distribution characteristics of coastal nutrient substances enables to adequately estimate the state of coastal marine environment and describe environmental change processes conditioned by anthropogenic forces. Remote sensing has the potential to provide synoptic information and has been somewhat successful in monitoring nutrient properties at rivers and estuaries. So taking total inorganic nitrogen (TIN) as typical nutrient monitoring index, Sheyang River estuary located in middle part of Jiangsu coastline, China was chosen for water quality simulation and variation trend analysis. Six correlation coefficient matrixes were calculated by using synchronous TIN concentration and its corresponding normalized water surface reflectance data from 15 field samples. Results showed that band combination of 804 and 630nm with the form of pseudo-sediment parameter could get the best correlation capacity and minimized reversion error. Based on this selected parameter, an inverse model was built for TIN quantitative reversion. R² coefficients reached 0.97 and 0.9972 in calibration and validation period respectively. And then the spatial distribution pattern of TIN in Sheyanghe River estuary was obtained using the inverse model via Hyperion hyperspectral remote sensing image. A coupled wave-tide-surge model and material transport and diffusion model were adopted for TIN concentration cross validation of the reversion precision exactly at river outlet. Comparison results indicated that these two dataset made a good consistency for TIN diffusive characters in Sheyang River estuary with the R² reached 0.6549. The magnitude of TIN concentration was also agreed fairly well.

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Xiang Lin, Dong Zhang, Ying Zhang, Yong Xu, and Huan Li "Total inorganic nitrogen content distribution pattern in estuary region by means of hyperspectral remote sensing and water quality numeric simulation techniques", Proc. SPIE 7285, International Conference on Earth Observation Data Processing and Analysis (ICEODPA), 728549 (29 December 2008); https://doi.org/10.1117/12.815742

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KEYWORDS

Tin

Reflectivity

Remote sensing

Nitrogen

Water

Computer simulations

Data modeling

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