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ISSN 2070-7401 (Print), ISSN 2411-0280 (Online)
Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa
CURRENT PROBLEMS IN REMOTE SENSING OF THE EARTH FROM SPACE

  

Sovremennye problemy distantsionnogo zondirovaniya Zemli iz kosmosa, 2018, Vol. 15, No. 1, pp. 233-244

The estimation technique of ecological-economic damage to water objects according to remote sensing data

O.V. Grigorieva 1 , D.V. Zhukov 1 , A.V. Markov 1 , V.F. Mochalov 1 
1 A. F. Mozhaisky Military Space Academy, Saint Petersburg, Russia
Accepted: 20.11.2017
DOI: 10.21046/2070-7401-2018-15-1-233-244
The article represents a method of data processing of aerospace hyperspectral data from the perspective of evaluating the damage caused to water bodies by oil products and mineral suspensions. The algorithms implemented in the method are based on the analysis of the distinctive spectral characteristics of harmful substances and allow determining their quantitative parameters, which are taken into account in the normative-methodical documents that set the calculation procedure of environmental-economic damage. The initial data used for the research of spectral characteristics of water pollution and the verification of the suggested algorithms were obtained as a result of special aerial survey in the Barents Sea and the Black Sea and as a result of data processing of space hyperspectral data. The presented information is the development of the earlier researches leaded by the authors. As the result of these researches the spectral features system was created to detect and define the level of negative impact on water bodies. In addition to the earlier developed algorithms, we propose the original methods of indices assessment that are necessary for the weight-calculation of harmful substances: the depth distribution of mineral suspensions and chromaticity of oil spills. For the assessment of depth we use multiple parameter techniques of optimization (including neural networks) based on the advantage of multidimensionality of hyperspectral data and the use of radiative transfer model in water that takes into account the radiation absorption and scattering of the gelbstoff, organic and mineral particles. The oil spills classification by chromaticity is based on the spectral features obtained as the result of the experiments conducted in narrow bands of visible and near infrared spectral range. As a whole the proposed algorithms allow defining the full set of initial data that is needed, in accordance with the laws, for the estimation of damage caused to water.
Keywords: hyperspectral remote sensing data, estimation of damage, pollution oil spill and mineral suspensions, informative spectral features
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