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Lyalko V.,Scientific Center for Aerospace Research of the Earth of Ukraine | Azimov O.,Scientific Center for Aerospace Research of the Earth of Ukraine | Yakovlev Y.,Institute of Telecommunications and Global Information Space of NAS of Ukraine
14th EAGE International Conference on Geoinformatics - Theoretical and Applied Aspects, Geoinformatics 2015 | Year: 2015

Considers the relevance of the application of modern remote aerospace and hydrogeological methods in solving the environmental security of the hydrosphere when the shale gas will be production in Ukraine. Place your examples of the pilot implementation of these methods within the Bilyajivka site of the Dnieper-Donets Depression which is adjacent to the Yuzivka area. On basis of accounting the hydrogeologic filtrational parameters and the results of thematic decoding of remote sensing data we performed the tentative expert appraisal of the temporal rates the upward migration of pollutions from a fracturing zone to the ground water-bearing horizon when in use the shale gas probable production. The region of the Bilyajivka-400 borehole was considered as an example. As a result we established that the achievement time of the migrating pollutions from the fracturing zone to the ground water-bearing horizon level will amount to 50÷5 years. It will depend on a possible variability the active porosity value of the joint fissure that predicted in the region of mentioned borehole via remote sensing decoding data. Source


Gornyy V.I.,Russian Academy of Sciences | Lyalko V.I.,Scientific Center for Aerospace Research of the Earth of Ukraine | Kritsuk S.G.,Russian Academy of Sciences | Latypov I.Sh.,Russian Academy of Sciences | And 8 more authors.
Sovremennye Problemy Distantsionnogo Zondirovaniya Zemli iz Kosmosa | Year: 2016

The paper attempts to predict surface temperatures of the urban environment of Kiev and St. Petersburg that can be expected in 2024 if the observed trend of warming will continue. The archival materials of satellite infrared thermal survey performed by the EOS and Landsat satellites were used. Time series of urban surface temperature (UST) for a long period (from 1984 to 2014) were compiled from those data and UST trends were calculated. A forecast of the expected average and maximum UST was done. As a result, in Kiev in July-August of 2024 the average noon time UST should be expected at +30,6°C ÷ +31,6°C and for the hottest days +41,6°C with maximal UST in certain locations of +51,0°C. Accordingly, in St.-Petersburg the average noon time UST can be +28°C (increasing by +3.0°C), for the hottest days +37,0°C with maximal UST in certain locations of +45,1°C. The upper UST estimations for Kiev and Saint-Petersburg hold quite high values, accordingly, 56,6°C and 50,4°C. It is shown that the multi-year trend of average UST is a reliable quantitative characteristic of the accumulated volumes of building industry activity. Therefore, it is a scientific basis for application of satellite infrared-thermal data for monitoring the building industry activity. It is also shown that surface temperature is a reliable indicator of deforestation. Thus, infrared-thermal satellite monitoring can be used for environmental control of forested areas. © 2016, Space Research Institute of the Russian Academy of Sciences. All rights reserved. Source


Popov M.A.,Scientific Center for Aerospace Research of the Earth of Ukraine | Stankevich S.A.,Scientific Center for Aerospace Research of the Earth of Ukraine | Sakhatsky A.I.,Scientific Center for Aerospace Research of the Earth of Ukraine | Bah M.O.E.,University of Nouakchott | And 2 more authors.
NATO Science for Peace and Security Series C: Environmental Security | Year: 2011

Combating desertification in Sahara is important due to immense territory and lack of infrastructure. The objective of this article is the application of RS satellite methods for desertification monitoring in Sahara countries Mauritania and Morocco. It was demonstrated that RS methods is a useful tools to monitor desertification in Mauritania and Morocco. They require: dynamic nonlinear model of the ecosystem for long-time desertification forecast; database of the multispectral satellite images, thematic maps correlated with other geo-meteo-data; and passive microwave and optical satellite data fusion procedures. © Springer Science+Business Media B.V. 2011. Source

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