About
68
Publications
13,618
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
596
Citations
Introduction
Skills and Expertise
Current institution
Education
September 2021 - July 2025
September 2019 - July 2020
Field of study
- Applied Math
September 2014 - July 2018
Field of study
- Applied Math
Publications
Publications (68)
Agriculture land appraisal analysis is an important component of the land market. This task is especially essential for Ukraine, which plans to lift the moratorium on land transactions and legalize farmland sales in 2021. Most post-Soviet countries adopted the notion of a soil bonitet—a quantitative score representing natural soil fertility. This s...
Crop rotation is an important determining factor of crop productivity. Sustainable agriculture requires correct rules of crop rotation. Failure to comply with these rules can lead to deterioration of soil biochemical characteristics and land degradation. In Ukraine as well as in many other countries, sunflower monocropping is common practice and th...
Deep learning models offer great potential for advancing land monitoring using satellite data. However, they face challenges due to imbalanced real-world data distributions of land cover and crop types, hindering scalability and transferability. This letter presents a novel data augmentation method employing Generative Adversarial Neural Networks (...
The Russian-Ukrainian War, ongoing since 2014, impacts an area containing Emerald Network environmental-protection sites created through the implementation of the Bern Convention on the Conservation of European Wildlife and Natural Habitats. Here we explore the impact of this conflict on institutional links supporting environmental sustainability a...
The study of climate change's impact on terrestrial ecosystems is crucial for achieving societal and economic sustainability and human well-being. Domains like agriculture and forestry respond to climate change similarly to other terrestrial natural biomes, experiencing reductions in productivity, migration, and loss of biodiversity. However, there...
This study aims to contribute to the advancement of satellite intelligence for agricultural monitoring, damage assessment, and the development of effective strategies to mitigate the severe consequences of armed conflicts on global food security. Since Ukraine is an associate member before joining Europe, currently active implementation of the Land...
This research demonstrates the potential of synergizing cutting-edge remote sensing, machine learning, and cloud computing technologies to tackle complex environmental challenges at a continental scale. The developed methodologies pave the way for future advancements in forest disease monitoring, fire danger, conservation efforts, and environmental...
Wildfires cause extensive damage, but their rapid detection and cause assessment remains challenging. Existing methods utilize satellite data to map burned areas and meteorological data to model fire risk, but there are no information technologies to determine fire causes. It is crucially important in Ukraine to assess the losses caused by the mili...
Due to the ongoing Russian invasion in Ukraine, many Ukrainian cities received immense damage or were destroyed. Restoring these cities is set to become one of the main priorities of the Ukrainian government in the near future. Because of its importance and sensitivity, cutting-edge technology should be used at every step of the task. The restorati...
The focus of this paper is on fire monitoring studies which utilize a variety of satellite data. The study examines various data sources that are used to automatically detect fires at a national level in Ukraine. Existing fire monitoring systems have low spatial resolution, which makes it difficult to detect fires. Therefore, the authors propose an...
Цілі сталого розвитку (ЦСР), також відомі як глобальні цілі, прийняті
Організацією Об’єднаних Націй у 2015 р. як універсальний заклик до
дій щодо подолання бідності, захисту планети, забезпечення миру та
покращення якості життя всіх людей до 2030 р. Цілі розвитку спрямовані на те, щоб до 2030 р. покінчити з усіма формами голоду, щоб усі
люди отриму...
Development of modern observation technologies, increase of the amount of open data, and development of new approaches to their processing open new opportunities in carrying out applied research in the economic activity of people. The central approach in this field is the use of the deep learning methods in the data processing and analysis of their...
Satellite data of high spatial resolution have become publicly available since the launch of the EU Copernicus program, and their automated processing methods for solving a large number of diverse applied problems have received further development. Our task in this article is to analyze the dynamics of the land degradation level using land degradat...
Розвиток сучасних технологій спостереження Землі, збільшення обсягу відкритих даних та розроблення нових підходів до їхнього оброблення відкривають нові можливості у проведенні прикладних досліджень економічної активності людства. Основним підходом у цій галузі є застосування методів глибинного навчання у процесах оброблення даних та аналізу їхніх...
Проблема сталого розвитку міст привертає широку увагу в країнах всього
світу, оскільки вона тісно пов’язана із якістю життя суспільства. Зростання
площ міських територій часто є непропорційним відносно темпів зростання населення в країнах, що розвиваються, і тому цю розбіжність не можна
контролювати за допомогою статистики. У цій статті здійснено д...
The past several decades has seen considerable land cover and land use change (LCLUC) in Ukraine. These changes are a result from unprecedented environmental and climate disturbances as well as highly sensitive political and economic disruption, most recently the Russian invasion of Ukraine. The impacts of these disturbances must be properly monito...
The agricultural sector plays a very important role in the country’s economy. Often, crop failures are the cause of protracted financial crises, which are very difficult to overcome. Fortunately, modern scientific methods allow us to predict the yield of certain crops in selected fields based on data on soil properties and weather conditions. Such...
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...
In the past few years, medium and high-resolution data became freely available for downloading. It provides great opportunity for researchers not to select between solving the task with high-resolution data on small territory or on global scale, but with low-resolution satellite images. Due to high spectral and spatial resolution of the data, Senti...
Iдея роботи полягає у тому, щоб застосувати генеративнi моделi для створення штучних навчальних вибiрок, тим самим збiльшити й урiзноманiтнити навчальнi вибiрки для моделей семантичної сегментацiї супутникових знiмкiв. А саме: побудувати генеративно-змагальну мережу, яка на основi видозмiнених масок зможе генерувати супутниковi знiмки, подiбнi до р...
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...
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...
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...
Проблема сталого розвитку міст привертає широку увагу в країнах всього світу, оскільки вона тісно пов’язана із якістю життя суспільства. Зростання площ міських територій часто є непропорційним відносно темпів зростання населення в країнах, що розвиваються, і тому цю розбіжність не можна контролювати за допомогою статистики. У цій статті здійснено д...
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...
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...
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...
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...
Abstract—The search of the anomalies in training and validation data when solving the problem of crops or land cover classification on the basis of satellite data is very important and thus a non-trivial task. The difficulty lies in the fact that it is possible to detect anomalies associated with an incorrect marking of fields or confused classes o...
Квалiфiкацiйна робота мiстить: 100 стор., 45 рисункiв, 5 таблиць, 70
джерел.
Температура земної поверхнi (LST) є важливим показником стану мiських територiй та може використовуватися для виявлення проблемних зон мiста та монiторингу природних лих. Супутниковi данi є єдиним джерелом iнформацiї, що дає можливiсть проводити аналiз LST для великих тери...
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...
For evaluating how far we are from achieving the Sustainable Development Goals and how big the progress is a global indicator framework was developed by the Inter-Agency and Expert Group on Sustainable Development Goals Indicators (IAEG-SDGs). In this paper, we propose an improved methodology for calculating indicator 2.4.1 "Proportion of agricultu...
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...
Within this survey we describe the conceptual architecture of the infrastructure to measure PM2.5/PM10 concentration in the atmosphere over the Kyiv city using modern monitoring instruments. We define the requirements for information tools and network for informing Kyiv city community on the state of PM pollutions that will be created. This infrast...
There is a growing recognition of the interdependencies among the supply systems that rely upon food, water and energy. Billions of people lack safe and sufficient access to these systems, coupled with a rapidly growing global demand and increasing resource constraints. Modeling frameworks are considered one of the few means available to understand...
Задача пошуку втручань є однiєю з головних задач у монiторингу та дослiдженнi кiбернетичних атак. Ранiше вона розв'язувалась монiторингом мережевого трафiку та записом локальних подiй, якi аналiзувалися спецiалiстами для виявлення порушень. Через розвиток науки про данні, впровадження потужних аналiтичних засобiв аналiзу даних ,спецiалiстам кiберне...
For evaluating the progresses towards achieving the Sustainable Development Goals (SDGs), a global indicator framework was developed by the UN Inter-Agency and Expert Group on Sustainable Development Goals Indicators. In this paper, we propose an improved methodology and a set of workflows for calculating SDGs indicators. The main improvements cons...
People experience the problems of air quality every day, either inside or outdoors. The best solution to mitigate the problem inside the buildings is to open opening the windows. It is not just the most efficient, but also the cheapest solution. However, opening windows might only worsen the situation in the room in the case of excess air pollutant...
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...
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...
Дослідження стану поверхні міста Рівне проведене Інститутом Космічних Досліджень НАНУ та ДКАУ спільно з ГО "Сад Історій Рівного" та "Рада Реформ Рівного"
Квалiфiкацiйна робота мiстить: 50 стор., 18 рисунки, 17 джерел.
Метою роботи – є адаптацiя iснуючих та побудова нових методiв штучного iнтелекту в системах типу SIEM.
Завдання роботи – проаналiзувати данi кiбернетичних атак та збудувати гiбридну паралельну модель для пошуку кiбернетичних атак.
Об’єктом дослiдження є кiбернетичнi атаки в даних мереж...
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...
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...
Під час роботи з великими даними часто виникають дуже ресурсоємкі завдання такі як побудова часового ряду супутникових знімків ,необхідних для розв’язання багатьох прикладних задач таких як класифікація сільськогосподарських посівів, прогнозування врожайності та інші [1-3].Тому виникає бажання ,враховуючи кількість супутникових даних за остані роки...
For accurate crop classification, it is necessary to use time-series of high-resolution satellite data to better discriminate certain crop types. This task brings the following challenges: large amount of satellite data for download, Big data processing and computational resources for utilization of the state-of-the-art classification approaches. F...
Questions
Question (1)
I want to calculate Leaf Water Conten Index (LWCI) using Landsat or Sentinel data. I found several usefull formulas that use NIR and SWIR bands. But to estimate LWCI I have to have NIR and SWIR reflactance for the fully hydrated leaf and it is a problem. How to measure fully hydrated leaf reflactance or maybe I have to use some constants, but I need reference on them. Can any one help me with that problem? Many thanks!
