On the efficiency of statistical decision procedures in remote environmental monitoring

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Abstract

The basis of a multichannel remote monitoring system has been developed, which uses new methods and algorithms for processing remote sensing data and the formation of updated databases and knowledge based on modern computer technologies and using high-performance computing systems. A structural diagram of the multichannel remote monitoring system (RMS) is given. The main parameters of the RMS are calculated. The RMS “solver” block is analyzed. Analytical estimates of the efficiency of statistical decision-making procedures in remote environmental monitoring are obtained. Experimental verification of the efficiency of the RMS and algorithms considered is based on the data of the Kosmos-1500 satellite for the Arctic regions.

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About the authors

F. A. Mkrtchyan

Fryazino branch Kotelnikov Institute of Radio Engineering and Electronics RAS

Author for correspondence.
Email: ferd47@mail.ru
Russian Federation, Vvedenskogo sq., 1, Fryazino, Moscow region, 141190

References

  1. Арманд Н.А., Крапивин В.Ф., Мкртчян Ф.А. Методы обработки данных радиофизического исследования окружающей среды. М.: Наука, 1987.
  2. Арманд Н.А., Крапивин В.Ф., Мкртчян Ф.А. // Проблемы окружающей среды и природных ресурсов. № 3. 1997. С. 31.
  3. Крапивин В.Ф., Мкртчян Ф.А., Шутко А.М. // Экологические системы и приборы. № 1. 2015. С. 10.
  4. Мкртчян Ф.А. Оптимальное различение сигналов и задачи контроля. М.: Наука, 1982.
  5. Мкртчян Ф.А. // Проблемы окружающей среды и природных ресурсов.1999. № 5. С. 2.
  6. Mkrtchyan F.A.// Proc. PIERS. Cambridge MA. 5-8 Jul. 2010. Cambridge MA: The Electromagnetic Academy, 2010. P. 361.
  7. Mkrtchyan F.A., Shapovalov S.M. // Rus. J. Earth Sci. 2018. V. 18. Article No. ES-4001.
  8. Mkrtchyan F.A., Varotsos C.A. // Water Air Soil Pollut. 2018. V. 229. № 8. Article No.273.
  9. Mkrtchyan F.A. // Proc. 2019 Photonics & Electromagnetics Research Symp. – Spring (PIERS-Spring). Rome.17–20 Jun. N.Y.: IEEE, 2019. P. 3398.
  10. Mkrtchyan F.A., Krapivin V.F., Shapovalov S.M. // Proc. 2019 Photonics & Electromagnetics Research Symp. – Spring (PIERS-Spring). Rome.17–20 Jun. N.Y.: IEEE, 2019. P. 3393.
  11. Nitu C., Krapivin V.F., Mkrtchyan F.A. Advanced Ecology. Monitoring, diagnostics, prognosis. Bucharesti: Matrix Rom, 2020. V. 1.
  12. Nitu C., Krapivin V.F., Mkrtchyan F.A. Advanced Ecology. Monitoring, diagnostics, prognosis. Bucharesti: Matrix Rom, 2021. V. 2.
  13. Varotsos, C.A., Mkrtchyan, F.A., Soldatov V.Y., Xue Y. // Water, Air &Soil Pollutuion. 2022. V. 233. Article No.114.
  14. Varotsos C.A., Mkrtchyan F.A., Soldatov V.Yu. // Remote Sensing. 2022. V.14. № 15. Article No.3527.
  15. Афанасьев Ю.А., Нелепо Б.А., Селиванов А.С. и др. // Изучение Земли из космоса. 1985. № 3. С. 3.
  16. Башаринов А.Е., Курская А.А. // Радиотехника. 1979. Т. 34. № 4. С.31.
  17. Вальд А. Последовательный анализ. М.: Физматгиз, 1960.
  18. Кэмпбелл К.И., Оранж А.С. // Полярный рекорд. 1974. Т.17. № 106. С.31.

Supplementary files

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2. Fig. 1. Block diagram of the VHI.

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3. Fig. 2. Efficiency of multichannel versus single-channel case for m = 5 (a, b) and 10 (c, d).

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4. Fig. 3. Maps of radio brightness temperatures of the Arctic regions for the λ1 = 0.8 cm channel.

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