Bohdan Yailymov

Bohdan Yailymov
Space Research Institute NAS Ukraine and SSA Ukraine · Department of Space Information Technologies and Systems

PhD

About

77
Publications
12,322
Reads
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522
Citations
Citations since 2016
59 Research Items
507 Citations
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2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
2016201720182019202020212022020406080100
Additional affiliations
September 2012 - December 2015
Space Research Institute NAS Ukraine and SSA Ukraine
Position
  • Junior Scientists

Publications

Publications (77)
Chapter
During last time we have faced with big data problem in Earth observation domain. Fortunately, cloud solutions such as Amazon Web Services, Google Earth Engine and others platforms provide an access to Sentinel-1, Sentinel-2 and Landsat data with spatial resolution from 10 to 30 m, opportunities for quick and convenient way of geospatial data proce...
Article
Full-text available
This work is devoted to the study of temporary changes in land cover types with-in the nature reserve fund of Ukraine. First of all, this is an analysis of the forest cover change (deforestation or reforestation) according to the open data of Global Forest Change 2000–2020 with a spatial resolution of 30 meters, with the definition of the most prob...
Article
Full-text available
The article is devoted to solving an important applied problem of landfill search based on machine learning methods using high-resolution satellite data. The problem of accumulation and storage of waste in legal and unauthorized landfills is relevant today. Millions of tons of household waste are generated in Ukraine every year. The largest areas f...
Conference Paper
The stockpiling and retention of waste is an actual problem for Ukraine today. Count of illegal dumps increases every day because many landfills are full. Special services of waste monitoring provide only partial information about the current state of waste dumps all over the country. They can’t analyse landfills’ size information and their changes...
Chapter
Full-text available
Навчальний посібник «Інформаційні технології аналізу великих гетерогенних даних. Лабораторний практикум» присвячено інформаційним технологіям для аналізу гетерогенних геопросторових даних за спеціальностю 113 «Прикладна математика» та може бути корисним для здобувачів вищої освіти інших технічних спеціальностей. Метою навчальної дисципліни є формув...
Poster
Full-text available
Based on the latest satellite data from the European Space Agency under the Copernicus program, which has been available since 2016, it is possible to receive satellite images of every land cover point on a regular basis. Such data are provided with a spatial resolution of 10 meters, which opens up a huge number of open problems for scientists and...
Conference Paper
Full-text available
Based on modern satellite products Planet with high spatial resolution 3 meters, authors of this paper improved the neural network methodology for constructing land cover classification maps based on satellite data of high spatial resolution using the latest architectures of convolutional neural networks. The process of information features formati...
Article
The article is devoted to solving an important applied problem of landfill search based on machine learning methods using high-resolution satellite data. The problem of accumulation and storage of waste in legal and unauthorized landfills is relevant today. Millions of tons of household waste are generated in Ukraine every year. The largest areas f...
Article
Today there is a lot of satellite data and products based on it in the public domain. By integrating them with heterogeneous socio-economic information and soil maps, model biophysical data using modern machine learning methods and modern approaches to geospatial data processing, it becomes possible to create maps of land degradation. Considering t...
Article
Full-text available
Today there is a lot of satellite data and products based on it in the public domain. By integrating them with heterogeneous socio-economic information and soil maps, model biophysical data using modern machine learning methods and modern ap-proaches to geospatial data processing, it becomes possible to create maps of land degradation. Considering...
Article
Full-text available
Ukraine is an associate member of the European Union, and in the coming years, it is expected that all the data and services already used by European Union countries will become available for Ukraine. An important program, which is the basis for building European monitoring services for smart cities, is the Copernicus program. The two most importan...
Preprint
Full-text available
Ukraine is an associate member of the European Union and in the coming years it is expected that all the data and services already used by European Union countries will become available for Ukraine. An important program, which is the basis for building European monitoring services for Smart Cities, is the Copernicus program. The two most important...
Article
Full-text available
Ukraine is an associate member of the European Union and in the coming years it is expected that all data and services already used by EU countries will be available to Ukraine. The lack of quality national products for assessing the development and planning of urban growth makes it impossible to assess the impact of cities on the environment and h...
Chapter
Full-text available
Sustainable Development Goals (SDGs) indicators assessment is a very important task for today’s global scientific communities. Remote sensing data has been used to solve many problems in the process of ensuring sustainable land use and city’s management. One such example is assessment of SDG indicator 11.3.1: "Ratio of land consumption rate to popu...
Chapter
Full-text available
The ERA-PLANET Horizon 2020 project "The European Network for Observing our Changing Planet" is a contribution of the European Community for addressing the objectives of international agreements such as the Sustainable Development Goals (SDGs), the Paris Agreement on Climate and the Sendai Framework for Disaster Risk Reduction. One of the four stra...
Article
Full-text available
Support of the economic growth of Ukrainian agriculture requires the development and effective use of innovative technologies. In particular, satellite analysis makes it possible to monitor the state of agricultural land by monitoring their qualitative and quantitative indicators of natural and climatic characteristics. Satellite monitoring of agri...
Conference Paper
Illegal tree cutting is a big problem for developing countries. In Ukraine by official data, by 2019 118000 square meters of trees were cut illegally. The total losses this year due to illegal logging were 814 million of hryvna. This problem is still actual, because in Ukraine there is no tool for independent monitoring of forestry at the state lev...
Conference Paper
Ukraine is on the verge of the land market opening. This process should begin in 2020, when free sale of land will be introduced. Now, only the land lease is officially allowed. To ensure transparency, equity and reliability of this process, objective information on real land use and its history, crop development state in each vegetation season is...
Article
For accurate crop classification, it is necessary to use time-series of high-resolution satellite data to better discriminate among certain crop types. This task brings the following challenges: a large amount of satellite data for download, Big data processing and computational resources for utilization of state-of-the-art classification approache...
Chapter
In this paper, we propose methodology for calculating indicators of sustainable development goals within the GEOEssential project, that is a part of ERA-PLANET Horizon 2020 project. We consider indicators 15.1.1 Forest area as proportion of total land area, 15.3.1 Proportion of land that is degraded over total land area, and 2.4.1. Proportion of ag...
Article
Full-text available
The issues addressed in the article relate to the development of modern technology based on open source data compatible with the Copernicus Urban Atlas service. The city atlas of Kyiv was developed within the framework of the project H2020 ERAPLANET SMURBS (SMART URBan Solutions for air quality, disasters, and city growth). Kyiv became the first ci...
Technical Report
Full-text available
Дослідження стану поверхні міста Рівне проведене Інститутом Космічних Досліджень НАНУ та ДКАУ спільно з ГО "Сад Історій Рівного" та "Рада Реформ Рівного"
Chapter
Full-text available
The last several years and onwards could be called the years of Big Free Data in domain of Remote Sensing. During the 2013-2016 period, several optical and synthetic aperture radar (SAR) remote sensing satellites were launched with high spatial resolution (10-30 m), in particular Sentinel-1A/B and Sentinel-2A within the European Copernicus program...
Chapter
Full-text available
Останні кілька років можна назвати роками «Великих об’ємів даних» в дистанційному зондуванні Землі. Протягом 2013-2016 рр. були запущені декілька оптичних та радарних (SAR) супутників дистанційного зондування з високим просторовим розрізненням (10-30 м), зокрема Sentinel-1A/B та Sentinel-2A/B в межах європейської програми Copernicus [1]. Дані набор...
Article
Full-text available
Leaf area index and Fraction of Absorbed Photosynthetically Active Radiation are important land biophysical parameters that enable monitoring and quantitative assessment of vegetation state. Remote sensing data from space can be used to estimate these parameters at regional and national scale. High temporal satellite imagery is usually required to...
Article
Full-text available
This paper provides the results of the analysis of satellite data usage for monitoring the use of agricultural land in different countries. Satellite data availability, generic data processing and retrieval approaches were analyzed from practical point of view.
Article
Analytical review of the European project CORINE (Coordination of Information on the Environment) Land Cover (CLC) and LUCAS (Land Use/Cover Area Frame Statistical Survey) and their use for the monitoring and validation of land cover and land use is fulfilled. The experience of land cover mapping in Ukraine on the basis of developed in the Space Re...
Thesis
Full-text available
The dissertation is devoted to solving a problem of accuracy improvement of classification and timely evaluation of area classes of the land cover and support of high accuracy in mapping of the earth's surface on large areas by developing of the methods of fusion of different types of large volumes of geospatial data and creating of automated mappi...
Article
Full-text available
In this article, the state of current research in Ukraine in the field of applied problems of Earth observations is analyzed in the context of participation of Ukraine in demonstration project of European Space Agency Sentinel-2 for Agriculture (Sen2-Agri), participation in SIGMA Project of 7th Framework Programme supported by European Commission,...
Article
Full-text available
Many applied Earth observation problems are based on land cover and land use maps, derived from satellite data. That is why it is important to assess their accuracy. We have developed retrospective regional 30 meter resolution land cover maps for Ukraine based on Landsat data for 1990, 2000 and 2010. As there is no reference data for validating ret...
Article
Full-text available
Along the season crop classification based on satellite data is challenging task for Ukraine because of a big diversity of different agricultural crops with different phenology (crop calendars). Taking into account the availability for free of high resolution (10 to 30 meter) optical and SAR data from different satellite, the most resource consumin...
Article
Full-text available
Large-scale mapping of land cover is considered in the paper as a problem of automated processing of big geospatial data, which may contain various uncertainties. To solve it, we propose to use three different paradigms, namely, decomposition method, the method of active learning from the scope of intelligent computations, and method of satellite i...
Article
Full-text available
This article aims at the determining the economic indicators that can be estimated with inductive based approaches and deep-learning techniques with use of satellite data, and accuracy assessment of such models. Among economic indicators index of sustainable development and the degree of harmonization are considered.
Article
The methodology for solving the problem of processing of large amount of remote sensing data is proposed. The hierarchical structure of the model of deep learning method is based on neural network approach and geospatial analysis methods. This methodology was applied for high resolution land cover change mapping for Ukraine territory from 1990 to 2...
Article
Full-text available
The methodology for automatically generation of retrospective high resolution land cover maps on a regular basis for the whole territory of Ukraine is developed. Proposed approach is based on intelligent methods for satellite data processing, which is used for multi-temporal Landsat-4/5/7 satellites imagery classification with previously restored m...
Article
Full-text available
Розроблена методологія побудови ретроспективних карт земного покриву високого розрізнення для території України, яка базується на використанні інтелектуальних методів обробки супутникових даних, а саме нейромережевої класифікації часових рядів космічних знімків супутників Landsat-4/5/7, знімків з раніше відновлених відсутніх даних із-за хмар та тін...
Article
Full-text available
This paper presents the methodology of retrospective land cover mapping for Ukrainian territory. Proposed methodology is based on intelligent processing techniques of satellite data, namely neural network classification of time series of Landsat-4, Landsat-5, Landsat-7 imagery (with 30m spatial resolution). As the result of its implementation we've...
Conference Paper
Full-text available
In this paper we propose a new methodology to automatically generate retrospective high resolution land cover maps on a regular basis for the whole territory of Ukraine. An ensemble of neural networks, in particular multilayer perceptrons (MLPs), is used for multi-temporal Landsat-4/5/7 satellites imagery classification with previously restored mis...
Article
Full-text available
Winter wheat crop yield forecasting at national, regional and local scales is an extremely important task. This paper aims at assessing the efficiency (in terms of prediction error minimization) of satellite and biophysical model based predictors assimilation into winter wheat crop yield forecasting models at different scales (region, county and fi...
Article
Full-text available
One of the problems in dealing with optical images for large territories (more than 10,000 sq. km) is the presence of clouds and shadows that result in having missing values in data sets. In this paper, a new approach to classification of multi-temporal optical satellite imagery with missing data due to clouds and shadows is proposed. First, self-o...
Technical Report
Full-text available
This report contains current “state of the art” on crop identification and crop area estimation; crop condition/stress assessment and yield prediction/forecasting as for February of 2015. Described results have been validated with in-situ data gathered from 2-level test site (both Kiev region site and Pshenichne sub-site).
Article
Full-text available
This paper focuses on enabling resilience of the Sensor Web system for disaster monitoring and risk assessment that is based on the use of Earth Observation (EO) data. Resilience is the ability of the system to maintain trustworthy service delivery in