Study on regional parameters of radiative transfer simulation based on Hydrolight in Taihu Lake

doi:10.7523/j.issn.2095-6134.2014.05.006

Abstract

Abstract:

Neural network is a good modeling method in water color remote sensing field, and it needs a large amounts of training data sets. However, in situ data sets are far from enough for meeting the requirement of large amounts of training data sets in neural network. So Hydrolight is used to cover the shortage, and it can simulate large-scale data sets. Based on in situ data of 7 months from 2008 to 2011 in Taihu Lake and by using related numerical statistical methods, the primary required simulated parameters such as the mass-specific absorption coefficients of chlorophyll particles, mineral particles, and colored dissolved organic matter (CDOM) and the mass-specific scattering coefficients of chlorophyll particles and mineral particles are determined. Results show that, compared with the measured remote sensing reflectance spectrum, the simulated remote sensing reflectance spectrum matches well with the former one and the correlation coefficient reaches 0.95 generally. This study provides a good foundation for building large scale training data sets of Taihu Lake in neural network simulation.

Key words: Taihu Lake, water of case 2, lake color remote sensing, Hydrolight, radiation transfer model

CLC Number:

X832

HUANG Jiahui, DUAN Hongtao, MA Ronghua, ZHANG Yuchao. Study on regional parameters of radiative transfer simulation based on Hydrolight in Taihu Lake[J]. , 2014, 31(5): 613-625.

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