Monitoring of potential self-ignition zones of the forest according to cloud cover remote sensing data

Authors

  • I.G. Krasovska Institute of Telecommunications and Global Information Space of NASU, Kyiv, Ukraine
  • K.O. Buravchenko National Аerospace University «Kharkiv Aviation Institute», Kharkіv, Ukraine
  • K.A. Tsviashchenko National Аerospace University «Kharkiv Aviation Institute», Kharkіv, Ukraine

DOI:

https://doi.org/10.32347/2411-4049.2018.4.128-132

Keywords:

polarization, spark discharge, organic compounds, storm clouds

Abstract

The complex analysis of the main properties of natural objects with establishment of extent of interference of their specifics and the factors causing inflaming is carried out. The dominating natural factor forming a local source of fire is revealed. Formation conditions of potential self-ignition zones are defined. The method allowing to reveal potential zones of self-ignition according to decryption of storm clouds with use of Earth sensing remote methods and to predict the probable level of a fire hazard is presented. Results of program realization of a method according to monitoring of these zones are displayed.

Author Biographies

I.G. Krasovska, Institute of Telecommunications and Global Information Space of NASU, Kyiv

PhD, Senior Research Associate

K.O. Buravchenko, National Аerospace University «Kharkiv Aviation Institute», Kharkіv

5th year student at the Department of Geoinformation Technologies and Space Monitoring of the Earth

K.A. Tsviashchenko, National Аerospace University «Kharkiv Aviation Institute», Kharkіv

5th year student at the Department of Geoinformation Technologies and Space Monitoring of the Earth

References

Frenkel, Y. I. (1949). Theory of atmospheric electricity. L.: GMI (in Russian).

Sinadze, G. A., & Dolidze, G. M. (1960). Selection by plants of letuchikh organichesky substances. Tbilisi: AN of Gr of the USSR (in Russian).

Starodub, I., & Shimoda, Y. (1960). Static electricity. Moscow: Energoizdat (in Russian).

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Published

2018-12-19

How to Cite

Krasovska, I., Buravchenko, K., & Tsviashchenko, K. (2018). Monitoring of potential self-ignition zones of the forest according to cloud cover remote sensing data. Environmental Safety and Natural Resources, 28(4), 128–132. https://doi.org/10.32347/2411-4049.2018.4.128-132

Issue

Section

Information resources and systems