Andrey Yu. Shelestov

Andrey Yu. Shelestov
National Technical University of Ukraine Kyiv Polytechnic Institute · Institute of Physics and Technology

Doctor of Sciences, Prof.

About

174
Publications
70,064
Reads
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4,010
Citations
Citations since 2016
72 Research Items
3336 Citations
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
20162017201820192020202120220100200300400500600
Additional affiliations
February 2016 - present
National Technical University of Ukraine Kyiv Polytechnic Institute
Position
  • Professor (Full)
March 2011 - February 2016
National University of Life and Environmental Sciences of Ukraine
Position
  • Head of Department
March 2011 - January 2016
National University of Life and Environmental Sciences of Ukraine
Position
  • Head of Department

Publications

Publications (174)
Article
Full-text available
The paper presents an international multi-disciplinary initiative, a Namibia SensorWeb Pilot Project, that was created as a testbed for evaluating and prototyping key technologies for rapid acquisition and distribution of data products for decision support systems to monitor floods. Those key technologies include SensorWebs, Grids and Computation C...
Article
In this article, the use of time series of satellite imagery to flood hazard mapping and flood risk assessment is presented. Flooded areas are extracted from satellite images for the flood-prone territory, and a maximum flood extent image for each flood event is produced. These maps are further fused to determine relative frequency of inundation (R...
Conference Paper
Full-text available
Over last decades we have witnessed the upward global trend in natural disaster occurrence. Hydrological and meteorological disasters such as floods are the main contributors to this pattern. In recent years flood management has shifted from protection against floods to managing the risks of floods (the European Flood risk directive). In order to e...
Article
Ukraine is one of the most developed agriculture countries and one of the biggest crop producers in the world. Timely and accurate crop yield forecasts for Ukraine at regional level become a key element in providing support to policy makers in food security. In this paper, feasibility and relative efficiency of using moderate resolution satellite d...
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...
Conference Paper
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...
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...
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
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...
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...
Chapter
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...
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...
Article
Full-text available
Along the season crop classification maps based on satellite data is a challenging task for countries with large diversity of agricultural crops with different phenology (crop calendars). In this paper, we investigate feasibility of delivering early and along the season crop specific maps using available free satellite data over multiple years, inc...
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
Data provided by synthetic aperture radar (SAR) of Sentinel satellite can be useful for many applications. However, as for any SAR image, speckle noise is present in acquired images. Speckle properties are important for different operations of SAR image processing as filtering, edge detection, segmentation, classification. Thus, we first carry out...
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
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Deep learning (DL) is a powerful state-of-the-art technique for image processing including remote sensing (RS) images. This letter describes a multilevel DL architecture that targets land cover and crop type classification from multitemporal multisource satellite imagery. The pillars of the architecture are unsupervised neural network (NN) that is...
Article
Full-text available
Many applied problems arising in agricultural monitoring and food security require reliable crop maps at national or global scale. Large scale crop mapping requires processing and management of large amount of heterogeneous satellite imagery acquired by various sensors that consequently leads to a " Big Data " problem. The main objective of this st...
Conference Paper
Full-text available
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...
Conference Paper
Full-text available
There are no globally available high resolution satellite-derived crop specific maps at present. Only coarse-resolution imagery (> 250 m spatial resolution) has been utilized to derive global cropland extent. In 2016 we are going to carry out a country level demonstration of Sentinel-2 use for crop classification in Ukraine within the ESA Sen2-Agri...
Poster
Full-text available
Due to launch of Sentinel-2 mission European Space Agency (ESA) started Sentinel-2 for Agriculture (Sen2-Agri) project coordinated by Universite catholique de Louvain (UCL). Ukraine is selected as one of 3 country level demonstration sites for benchmarking Sentinel-2 data due to wide range of main crops (both winter and summer), big fields and high...
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
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 discriminati...
Article
In the paper we propose the methodology for solving the large scale classification and area estimation problems in the remote sensing domain on the basis of deep learning paradigm. It is based on a hierarchical model that includes self-organizing maps (SOM) for data preprocessing and segmentation (clustering), ensemble of multi-layer perceptrons (M...
Conference Paper
Full-text available
In the paper we propose the methodology for solving the large scale classification and area estimation problems in the remote sensing domain on the basis of deep learning paradigm. It is based on a hierarchical model that includes self-organizing maps (SOM) for data preprocessing and segmentation (clustering), ensemble of multi-layer perceptrons (M...
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
For many applied problems in agricultural monitoring and food security, it is important to provide reliable crop classification maps. Satellite imagery is extremely valuable source of data to provide crop maps in a timely way at moderate and high spatial resolution. Information on parcel boundaries that takes into account the spatial context may im...
Conference Paper
Full-text available
A big amount and heterogeneity of free satellite data (SAR and optical) opens room for large scale land cover and land use mapping with high resolution. Large-scale mapping of land cover and land use can be considered as a problem of automated processing of big amount of geospatial data, which may contain various uncertainties (for example, clouded...
Technical Report
Full-text available
This technical report describes the multi-temporal field campaign over Pshenichne site, in Ukraine during 2015; in the context of FP7 ImagineS project, supporting the validation of biophysical vegetation products by European Copernicus Global Land Service. The data has been provided to EOLAB which has up-scaled the in-situ measurements acquired ov...