Algorithm of monitoring the ecological state of coastal waters in areas of heavy economic use

Abstract


An algorithm of monitoring the ecological state of coastal waters is presented in the paper. The algorithm makes it possible to detect oil, mineral and organic coarse pollution, thin oil films, to estimate the concentration of mineral organic pollution in the surface layer. A method of identifying shallow water zones including sand-bottomed zones and waterline phytoplankton overgrowth is presented. The pollution level of the coastal zone of the city of Regency (Brazil) is estimated using the analysis of spectral-energy characteristics of polluted and nominally clean surfaces. On the basis of the estimates obtained clustering of the initial data on the component and the total level of pollution is performed. Conclusions are made concerning total pollution of the coastal waters under consideration. An example of data processing on the basis of the algorithm presented is discussed.   A hyperspectral image obtained with the help of the «Resurs-P» No. 2 satellite is considered.


About the authors

M. N. Guryeva

Ryazan State Radioegineering University

Author for correspondence.
Email: maria_guryeva@mail.ru

Russian Federation

engineer

Yu. N. Zhuravel

Space-Rocket Center «Progress», Samara

Email: d1133@samspace.ru

Russian Federation

Deputy Head of Department

R. V. Tishkin

Special Design Bureau «Spektr», Ryazan

Email: roman.tishkin@mail.ru

Russian Federation

Candidate of Science (Engineering)
Head of Department

References

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  2. Kosmicheskiy apparat «Resurs-P» № 2 [Resurs-P № 2 Satellite]. Available at: http://www.samspace.ru/products/earth_remote_sensing_satellites/ka_resurs_p2/
  3. Derkacheva A.A., Tutubalina O.V. The effectiveness of atmospheric correction for Hyperion hyperspectral images in regions with developed vegetation cover. Current Problems in Remote Sensing of the Earth From Space. 2014. V. 11, no 4. P. 360-368. (In Russ.)
  4. Grigoreva О.V., Shilin B.V. Experience in assessment of the environmental indicators of waters ports of hyperspectral images. Modern problems of remote sensing of the Earth from space. 2012. V. 9, no. 1. P. 156-166. (In Russ.)
  5. Pimenova E.V. Khimicheskie metody analiza v monitoringe vodnykh ob"ektov [Chemical methods of analysis in the monitoring of water bodies]. Perm: Perm State Agricultural Academy Publ., 2011. 138 p.

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