Hanna Yailymova

Hanna Yailymova
National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute” · Mathematical Modelling and Data Analysis

Doctor of Philosophy in Applied Math

About

48
Publications
2,945
Reads
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99
Citations
Citations since 2016
45 Research Items
99 Citations
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
201620172018201920202021202201020304050
Additional affiliations
March 2015 - present
National Academy of Sciences of Ukraine
Position
  • Research Scientist
Education
September 2010 - June 2020
Taras Shevchenko National University of Kyiv
Field of study
  • 113 Applied Math

Publications

Publications (48)
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 «Аналіз даних. Лабораторний практикум» присвячено вивченню аналізу даних за допомогою мови Python студентами за спеціальністю 113 «Прикладна математика». Метою є отримання навичок аналізу даних, очистки даних та побудови моделей на основі наявних даних для їх подальшого використання. Посібник містить необхідний теоретичний матер...
Conference Paper
1st July 2021 the law on the creation of land market start effect in Ukraine. As a result, land appraisal became cornerstone task in Ukrainian agriculture sector. The official methodology on land appraisal includes use of soil fertility characteristics combined with coefficients related to the distance to the infrastructure objects or settlements a...
Chapter
Full-text available
Навчальний посібник «Методи глибокого навчання на різнорідних даних. Лабораторний практикум» присвячено вивченню методів та алгоритмів глибинного навчання та аналізу гетерогенних геопросторових даних здобувачами вищої освіти за спеціальностю 113 «Прикладна математика» та може бути корисним для інших технічних спеціальностей. Метою навчальної дисц...
Chapter
Full-text available
Навчальний посібник «Методи аналізу великих гетерогенних даних. Лабораторний практикум» присвячено вивченню методів та алгоритмів аналізу гетерогенних геопросторових даних здобувачами вищої освіти за спеціальностю 113 «Прикладна математика» та може бути корисним для студентів інших технічних спеціальностей. Метою навчальної дисципліни є формування...
Chapter
Full-text available
Навчальний посібник «Хмарні технології обробки даних. Лабораторний практикум» присвячено ознайомленню з підходами до використання хмарних платформ за спеціальностю 113 «Прикладна математика» та може бути корисним для здобувачів вищої освіти інших технічних спеціальностей. Метою навчальної дисципліни є формування у студентів здатностей засвоєння при...
Poster
Full-text available
Land degradation neutrality in Agenda 2030 is the scientific, politic, economic, and social UNCCD conceptual framework in sustainable development in epoch of world economy decarbonization – net zero carbon 2050. For monitoring this LDN process to decision making was proposed SDG 2.4.1. and 15.3.1 indicators on international and national levels. To...
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...
Poster
Full-text available
Earth’s atmosphere and surface is undergoing rapid changes due to urbanization, industrialization and globalization. Environmental problems such as desertification, soil depletion, water shortages, greenhouse gas (GHG) emissions warming the atmosphere, are increasingly significant and troubling consequences of human activities. UNEP forecast that u...
Article
Full-text available
In this work, a statistical analysis of the time series of areas of majoritarian crops for 20 years (from 1998 to 2020) is carried out, and the influence of agro-climatic zones on the area of cultivation of major crops is analyzed. Climate change is acutely felt in the southern regions of Ukraine, increasing the production risk in the agricultural...
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...
Conference Paper
Full-text available
Since the launch of ESA Copernicus program, satellite data of high resolution became publicly available and methods and tools for their automated processing to solve a wide range of applications have developed rapidly. An important scientific task is to assess land degradation and achieve zero levels of degradation. There are many methods for deter...
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
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...
Conference Paper
The annual harvest growth is very important for the development of the agricultural sector of each country. To ensure its growth, there is a need for modern monitoring of agricultural land indicators. These indicators are usually obtained directly from local agronomists, but this method of collecting information is too long and complicated. As a st...
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
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...
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...
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...
Conference Paper
Full-text available
Представлено актуальнiсть поєднання креативних обчислень та принципу рiзнотипностi при формуваннi та пошуку iнновацiйних рiшень та результатiв при розв’язаннi нових прикладних задач.
Presentation
Full-text available
At this stage of development of science in the world raises the question of new methods for solving optimisation and a large number of applications, i.e. the creation of innovative solutions. This article analyses the state of science in the direction of innovation solutions for different problems. In scope of the article the possibility of creativ...
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,...
Conference Paper
Full-text available
В роботi запропоновано модифiкацiю ДС-алгоритму для побудови чисельного розв’язку систем параболiчних рiвнянь другого порядку без мiшаних похiдних. Дослiджено iснування єдиного розв’язку системи рiзницевих рiвнянь. Встановлено, що похибка апроксимацiї має другий порядок. Перевагою алгоритму перед неявними рiзницевими схемами є те, що на кожному час...
Article
Full-text available
We consider a modification of DS-algorithm for constructing numerical solution of parabolic equations without mixed second order derivatives. Investigated the existence of a single solution system of difference equations. Established that the approximation error has the second order. The advantage of the algorithm to the implicit differences scheme...
Article
Full-text available
The mathematical model, describing the process of high energy beams radiation propagation is considered. The model is described by a system of partial differential equations with complex coefficients. A two-step finite difference algorithm (DS-algorithm) is proposed for numerical modeling. The main properties of the algorithm are investigated.

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Projects

Projects (4)
Project
The project provides informational service on the SDG indicators 2.4.1 “Proportion of agricultural area under productive and sustainable agriculture” and 15.3.1 “Proportion of land that is degraded over total land area” based on the 10 m. agricultural land productivity and crop type mapping on Sentinel-2 data as well as Sen-4-CAP. This project created by Space Research Institute NASU-SSAU – the main scientific research organization on the remote sensing field in Ukraine, ERA-Planet programme member and Copernicus Academy member. The methodology for this pilot was developed within the ERA-Planet programme GEOEssential project. The workflows for data processing, crop type mapping and SDGs indicators assessment was developed and tested within Amazon GEO-Grant using Amazon computational resources. The project is compliant with European initiatives on the SDGs and Sendai Framework and the unique feature of the project is usage of moderate resolution Sentinel-1,2 and Landsat-8 mission images for land degradation assessment on the country and field levels. In addition, the project aims on the extent of the European technologies such as SEN-4-Cap, CREODIAS, GEOEsential workflows for territory of Ukraine and neighboring countries. The pilot will be implemented for Ukraine and 1 European country on the CREODIAS cloud platform. The main functions of the service will be assessment of the SDG indicators on the country level, regional land productivity assessment, crop maps analysis, agriculture statistics delivery, national SDG report preparation and field level land productivity calculation. The results of the project will valuable for scientific and private-business organizations as well as for academicals sector. Within the Copernicus Academy, Space Research Institute, based on the project results, will prepare training on remote sensing data analysis and MsSci course for Kyiv Academic University on Remote Sensing Data Science.
Project
Digital technologies for the ecological state monitoring and city development have become important for society and various stakeholders. Thanks to the emergence of new sources of open data, there are opportunities to develop and implement services that are already used in the European Union (EU) and European cities. One of the key projects in this area is the SMURBS program ERA-PLANET and the pan-European program Copernicus. The use of Copernicus data for Ukraine can ensure the development of public environmental monitoring. Therefore, in this project it is planned to develop the first in Ukraine Copernicus Urban Atlas product-analogue, which will increase the efficiency of planning and monitoring of the city. This will be the basis for further development of city monitoring services. A methodology for satellite and in-situ data fusion will also be developed, which will provide opportunities for Ukrainian cities to use air quality products with high spatial and temporal resolution.
Project
Development of automated forestry monitoring and illegal logging detection system based on the combination of satellite data and national open data with use of Deep Learning.