Institution
National University of Life and Environmental Sciences of Ukraine
Education•Kyiv, Ukraine•
About: National University of Life and Environmental Sciences of Ukraine is a education organization based out in Kyiv, Ukraine. It is known for research contribution in the topics: Population & Computer science. The organization has 1784 authors who have published 1689 publications receiving 6030 citations.
Papers published on a yearly basis
Papers
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TL;DR: Liu et al. as mentioned in this paper studied the distribution and land use of Mollisols in the world and found that they are most prevalent in the mid-latitudes of North America, Eurasia, and South America.
Abstract: Liu, X., Burras, C. L., Kravchenko, Y. S., Duran, A., Huffman, T., Morras, H., Studdert, G., Zhang, X., Cruse, R. M. and Yuan, X. 2012. Overview of Mollisols in the world: Distribution, land use and management. Can. J. Soil Sci. 92: 383–402. Mollisols – a.k.a., Black Soils or Prairie Soils – make up about 916 million ha, which is 7% of the world's ice-free land surface. Their distribution strongly correlates with native prairie ecosystems, but is not limited to them. They are most prevalent in the mid-latitudes of North America, Eurasia, and South America. In North America, they cover 200 million ha of the United States, more than 40 million ha of Canada and 50 million ha of Mexico. Across Eurasia they cover around 450 million ha, extending from the western 148 million ha in southern Russia and 34 million ha in Ukraine to the eastern 35 million ha in northeast China. They are common to South America's Argentina and Uruguay, covering about 89 million and 13 million ha, respectively. Mollisols are often rec...
181 citations
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TL;DR: It is concluded that performance of empirical NDVI-based regression model was similar to meteorological and CGMS models when producing winter wheat yield forecasts at oblast level in Ukraine 2–3 months prior to harvest, while providing minimum requirements to input datasets.
155 citations
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TL;DR: It is found that using backscatter coefficients from SAR images alone provides the same performance for winter crops (wheat and rapeseed) as surface reflectance from optical images.
Abstract: Ukraine is one of the most developed agricultural countries in the world. For many applications, it is extremely important to provide reliable crop maps taking into account diversity of cropping systems used in Ukraine. The use of optical imagery only is limited due to cloud cover, and previous studies showed particular difficulties in discriminating summer crops in Ukraine such as maize, soybeans, sunflower, and sugar beet. This paper focuses on exploring feasibility and assessing efficiency of using multitemporal satellite synthetic-aperture radar (SAR) acquired in C-band and optical images for crop classification in Ukraine. Both optical (Landsat-8/OLI) and SAR (Radarsat-2) images are used to assess the impact of adding backscattering intensity from SAR images for classification purposes. SAR intensity information is very important due to availability of Sentinel-1 imagery over Ukraine starting March 2015. Different combinations of optical and SAR images, as well as SAR modes and polarizations, are assessed for better discrimination of crops. A committee of neural networks, in particular multilayer perceptrons (MLPs), is used to improve classification accuracy compared to several standard classifiers. It is found that using backscatter coefficients from SAR images alone provides the same performance for winter crops (wheat and rapeseed) as surface reflectance from optical images. Considering the summer crops, the major impact of adding backscatter intensity information from SAR images is in better separation of sunflower, soybeans, and maize.
139 citations
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TL;DR: This review highlights the recent progress in research on the potential of using 2D non-graphene materials and similar oxide nanostructures for different types of biosensors (optical and electrochemical).
Abstract: The discovery of graphene and its unique properties has inspired researchers to try to invent other two-dimensional (2D) materials. After considerable research effort, a distinct "beyond graphene" domain has been established, comprising the library of non-graphene 2D materials. It is significant that some 2D non-graphene materials possess solid advantages over their predecessor, such as having a direct band gap, and therefore are highly promising for a number of applications. These applications are not limited to nano- and opto-electronics, but have a strong potential in biosensing technologies, as one example. However, since most of the 2D non-graphene materials have been newly discovered, most of the research efforts are concentrated on material synthesis and the investigation of the properties of the material. Applications of 2D non-graphene materials are still at the embryonic stage, and the integration of 2D non-graphene materials into devices is scarcely reported. However, in recent years, numerous reports have blossomed about 2D material-based biosensors, evidencing the growing potential of 2D non-graphene materials for biosensing applications. This review highlights the recent progress in research on the potential of using 2D non-graphene materials and similar oxide nanostructures for different types of biosensors (optical and electrochemical). A wide range of biological targets, such as glucose, dopamine, cortisol, DNA, IgG, bisphenol, ascorbic acid, cytochrome and estradiol, has been reported to be successfully detected by biosensors with transducers made of 2D non-graphene materials.
130 citations
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Moscow State Forest University1, International Institute for Applied Systems Analysis2, Polish Academy of Sciences3, Lviv Polytechnic4, University of Canterbury5, National University of Life and Environmental Sciences of Ukraine6, Delft University of Technology7, National Institute for Environmental Studies8
TL;DR: In this paper, the authors applied geographically weighted regression (GWR) to integrate eight different forest products into three global hybrid forest cover maps at a 1-km resolution for the reference year 2000.
113 citations
Authors
Showing all 1817 results
Name | H-index | Papers | Citations |
---|---|---|---|
Sergii Skakun | 29 | 97 | 3372 |
Valery Kashparov | 28 | 97 | 2472 |
Svitlana Prylutska | 25 | 90 | 1462 |
Vasyl Yoschenko | 21 | 54 | 1042 |
Maryna Strokal | 20 | 54 | 1103 |
R. S. Boiko | 19 | 68 | 1114 |
Sviatoslav Levchuk | 17 | 30 | 920 |
Andrii Shelestov | 15 | 55 | 820 |
V.P. Protsak | 12 | 29 | 701 |
Andrii Shelestov | 12 | 27 | 1594 |
V. Chornii | 10 | 40 | 282 |
Andrii Kolotii | 10 | 27 | 368 |
Mykola Chausov | 9 | 35 | 237 |
Volodymyr Bulgakov | 9 | 113 | 330 |
Liudmyla Golovko | 8 | 15 | 125 |