On state and prospects of remote sensing technologies in solving topical problems of real sector of economy and defense
According to the materials of scientific report at the meeting of the Presidium of NAS of Ukraine, November 9, 2016
DOI:
https://doi.org/10.15407/visn2017.01.048Keywords:
remote sensing technology, multispectral image, sustainable development, biodiversity, ecosystem, disaster resilienceAbstract
The problem of transfer of remote sensing methods and technologies into the real sector of economy and defense is discussed. Examples of using remote sensing methods and techniques for solving such topical tasks as ecosystem sustainability, disaster resilience, sustainable urban development and many others are considered. The problem of creating dual-use remote sensing technologies is discussed. Ways of further development of remote aerospace research in Ukraine are formulated.
References
Lyalko V.I. (Ed.). Greenhouse Effect and Climate Changes in Ukraine: Assessments and Consequences. (Kyiv: Naukova Dumka, 2015).
Chuvieco E., Huete A. Fundamentals of Satellite Remote Sensing. (Boca Raton, FL: Tailor & Francis, 2010).
Bhatta B. Research Methods in Remote Sensing. (Dordrecht: Springer, 2013).
Lyalko V.I., Popov M.O. (Eds). Multispectral Remote Sensing in Nature Management. (Kyiv: Naukova Dumka, 2006).
Global Earth Observation System of Systems (GEOSS). 10-Year Implementation Plan: Reference Document. Published by ESA Publication Division. (Noordwijk, the Netherlands, 2005).
GEO Strategic Plan 2016–2025: Implementing GEOSS.
Popov M.O., Stankevich S.A., Kozlova A.A. Features of use of multispectral aerospace images in quantifying the species diversity of vegetation. Current Problems in Remote Sensing of the Earth from Space. 2007. 4(2): 297.
Popov M.A., Kussul N.N., Stankevich S.A., Kozlova A.A., Shelestov A.Yu., Kravchenko O.M., Korbakov M.B., Skakun S.V. Web service for biodiversity estimation using remote sensing data. Int. J. Digital Earth. 2008. 1(4): 367.
Kostyuchenko Yu.V., Movchan D.M., Yuschenko M.V. Regional risk analysis based on multisource data statistics of natural disasters. In: Zagorodny A.G., Yermoliev Yu.M. (Eds). Integrated modeling of food, energy and water security management for sustainable social, economic and environmental developments. (Kyiv, 2013). P. 229–238.
Kostyuchenko Yu.V., Bilous Yu. Long-term forecasting of natural disasters under projected climate changes in Ukraine. In: Groisman P.Y., Ivanov S.V. (Eds). Regional Aspects of Climate-Terrestrial-Hydrologic Interactions in Non-boreal Eastern Europe. (Springer Science + Business Media B.V. 2009). P. 95-102.
Lyalko V., Arkhipov А., Tovstyuk Z., Vorobyov A., Popov M. The use of aerospace information for hydrocarbon deposits prospects. Ukrainian-Macedonian scientific collection. 2011. (5): 327.
Lyalko V.I., Popov M.O. (Eds). Satellite methods for mineral resources prospects. (Kyiv: Karbon-Ltd, 2012).
Lyalko V.I., Sakhatskyi O.I., Zholobak G.M., Popov M.A. Some directions of remote sensing methods applications for solution of the agricultural tasks in Ukraine. Current Problems in Remote Sensing of the Earth from Space. 2010. 7(1): 19.
Sakhatskyi O.I., Zholobak G.M. Research of the gross primary productivity of main agricultural crops for the central and south regions of Ukraine using MOD17 satellite data. Dopov. Nac. Akad. Nauk Ukr. 2015. (10): 40.
Popov M.A., Lukin V.V., Stankevich S.A., Zriakhov M.S., Lischenko L.P., Podorvan V.N., Krivenko S.S. Urbanized territories technogenic contaminations mapping using the hyperspectral imaging data. Scientific Notes of Taurida National Vernadsky University. Ser. Geography. 2010. 23(2): 232.
Stankevich S., Sakhatsky A., Bobro D., Iwasaki A., Nakasuka Sh., Yoshimoto S., Aoyanagi Y. Risk assessment of adsorbed radionuclide emission by fire within Fukushima exclusion zone using multispectral satellite imagery. Ukrainian Journal of Remote Sensinng. 2015. (4): 4.
Lyalko V.I., Fedorovsky O.D., Sirenko L.Ya. The use of satellite information in solving problems of water management and protection. Kosm. Nauka Tehnol. 1997. 21(3/4): 40.
Fedorovsky O.D., Khyzhnyak A.V., Tomchenko O.V., Zub L.M., Pidhorodetska L.V., Dyachenko T.M., Shevchenko A.M., Vlasova O.V., Khodorovsky A.Ya., Yakymchuk V.H. The multidisciplinary analysis of the aerospace and field information in tasks of assessing water ecosystems based on the of system analysis methods. Ukrainian Journal of Remote Sensing. 2015. (7): 27.
Popov M.O., Topolnitsky M.V., Pidlipaev V.O. Geospatial intelligence in local military conflicts. Science and Defense. 2015. (1): 25.
Popov M.O., Piontkovsky P.M., Hrynyuk S.V. State and prospects of hyperspectral systems for space image reconnaissance. Science and Defense. 2012. (2): 39.
Lyalko V.I., Popov M.O., Stankevich S.A. Potential of aerospace methods at safety support of the territorial sea and shore line of Ukrainian and ways of its realization. In: Problems of coordination of military-technical and defence-industrial policy in Ukraine. Prospects of weapons and military equipment. Proc. ІV Int. Conf. (12–13 Oct. 2016, Kyiv).
Popov M.O., Stankevych S.A., Shkliar S.V. An algorithm for resolution enhancement of subpixel displaced images. Mathematical Machines and Systems. 2015. (1): 29.
Lyalko V.I., Popov M.O., Stankevich S.A., Shklyar S.V., Podorvan V.M., Likholit N.I., Tiagur V.M., Dobrovolska C.V. Physical Simulation of Infrared Spectroradiometer with Spatial Resolution Enhancement Using Subpixel Image Registration and Processing. Nauka Innov. 2015. 11(6): 16.
Popov M.O., Podorvan V.M., Alpert S.І. A method for hyperspectral satelite image classification using Dempster’s combination rule. Kosm. Nauka Tehnol. 2015. 21(1): 25.
Popov M., Kovalchuk S., Pikulik S., Stankevich S., Markov S., Кudashev E. Spectral data storage: an approach to development and realization in e-infrastructure of permanent access to scientific remote sensing data. In: Information systems for research. Proc. XV Conf. IMS-2012 (10–12 Oct. 2012, Saint Petersburg).
