Nataliia Kussul

Nataliia Kussul
National Technical University of Ukraine Kyiv Polytechnic Institute

Professor, Doctor of sciences

About

234
Publications
96,033
Reads
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5,071
Citations
Additional affiliations
September 1996 - present
June 1996 - present
National Academy of Sciences of Ukraine
Position
  • Managing Director
June 1996 - present
National Academy of Sciences of Ukraine
Position
  • Managing Director

Publications

Publications (234)
Article
The Earth Observing One (EO-1) satellite was launched in November 2000 as a one year technology demonstration mission for a variety of space technologies. After the first year, it was used as a pathfinder for the creation of SensorWebs. A SensorWeb is the integration of a variety of space, airborne and ground sensors into a loosely coupled collabor...
Article
Full-text available
In this paper, we focus on the description of the Grid infrastructure that is under the development at the Space Research Institute NASU-NSAU (SRI). We describe several real-world applications that are being solved using the Grid infrastructure: numeral weather prediction (NWP), flood monitoring, and biodiversity assessment. We also review issues r...
Article
Full-text available
This paper describes the objectives and achievements of the project "Data Fusion Grid Infrastructure'' jointly supported by INTAS, the Centre National d'Etudes Spatiales (CNES) and the National Space Agency of Ukraine (NSAU). Within the project, a Grid infrastructure has been developed that integrates the resources of several geographically distrib...
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...
Conference Paper
Full-text available
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...
Article
Over the course of the 21st century, a century in which the urbanization process of the previous one is ever on the rise, the novel smart city concept has rapidly evolved and now encompasses the broader aspect of sustainability. Concurrently, there has been a sea change in the domain of Earth observation (EO) where scientific and technological brea...
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...
Article
Full-text available
Several holistic approaches are based on the description of socio-ecological systems to address the sustainability challenge. Essential Variables (EVs) have the potential to support these approaches by describing the status of the Earth system through monitoring and modeling. The different classes of EVs can be organized along the environmental pol...
Article
Full-text available
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...
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
Lossy compression of remote sensing data has found numerous applications. Several requirements are usually imposed on methods and algorithms to be used. A large compression ratio has to be provided, introduced distortions should not lead to sufficient reduction of classification accuracy, compression has to be realized quickly enough, etc. An addit...
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...
Article
Full-text available
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...
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
Open burning is illegal in Ukraine, yet Ukraine has, on average, 300 times more fire activity per year (2001-2019) than most European countries. In 2016 and 2017, 47% of Ukraine was identified as cultivated area, with a total of 70% of land area dedicated to agricultural use. Over 57% of all active fires in Ukraine detected using space-borne Visibl...
Article
Full-text available
The water cloud model (WCM) can be inverted to estimate leaf area index (LAI) using the intensity of backscatter from synthetic aperture radar (SAR) sensors. Published studies have demonstrated that the WCM can accurately estimate LAI if the model is effectively calibrated. However, calibration of this model requires access to field measures of LAI...
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...
Conference Paper
This paper deals with processing of multichannel remote sensing images for which it is difficult and often impossible to carry out any stage of data processing in an interactive manner and, thus, full or, at least, partial automation is needed. Despite of existence of many methods, it is difficult to choose the best or an appropriate one and/or to...
Article
Globally, drought constitutes a serious threat to food and water security. The complexity and multivariate nature of drought challenges its assessment, especially at local scales. The study aimed to assess spatiotemporal patterns of crop condition and drought impact at the spatial scale of field management units with a combined use of time-series f...
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
Full-text available
While people are aware that there is a continuing conflict in Ukraine, there is little understanding of its impact. The military conflict in South-Eastern Ukraine has been on-going since 2014, with a major socio-economic impact on the Donetsk and Luhansk regions. In this study, we quantify land cover land use changes in those regions related to cro...
Conference Paper
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...
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
Free access to the paper for 50 days: https://authors.elsevier.com/a/1YvAs14ynSEen9 -------Cropland maps derived from satellite imagery have become a common source of information to estimate food production, support land use policies, and measure the environmental impacts of agriculture. Cropland classification models are typically calibrated with...
Article
Full-text available
A combination of Landsat 8 and Sentinel-2 offers a high frequency of observations (3–5 days) at moderate spatial resolution (10–30 m), which is essential for crop yield studies. Existing methods traditionally apply vegetation indices (VIs) that incorporate surface reflectances (SRs) in two or more spectral bands into a single variable, and rarely a...
Conference Paper
Monitoring of agricultural regions is an important task. Recent trends to solve it are based on applying multi-temporal remote sensing in order to obtain reliable crop classification maps. If a radar remote sensing is used, speckle presence in the original data reduces a classification accuracy. A negative impact of speckle can be reduced by image...
Article
Full-text available
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...
Poster
Full-text available
We benchmark different training data sources in situ (IS), landcover-derived (LC) and crowd source (CS) for large-scale cropland mapping and to assess the accuracies of the cropland maps generated with these datasets and temporal features based on Landsat satellite data. Maps derived from CS dataset are usually more accurate than those from LC, whi...
Article
Full-text available
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...
Conference Paper
Compression is a typical operation applied in image processing. Lossy compression is widely used although it introduces distortions that might lead to degradation of image visual quality. Then, introduced distortions have to be controlled at compression stage to provide visually lossless compression or appropriate quality according to adequate metr...
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
The convergence of new EO data flows, new methodological developments and cloud computing infrastructure calls for a paradigm shift in operational agriculture monitoring. The Copernicus Sentinel-2 mission providing a systematic 5-day revisit cycle and free data access opens a completely new avenue for near real-time crop specific monitoring at parc...
Article
Full-text available
Knowledge of the spatial distribution of agricultural abandonment following the collapse of the Soviet Union is highly uncertain. To help improve this situation, we have developed a new map of arable and abandoned land for 2010 at a 10 arc-second resolution. We have fused together existing land cover and land use maps at different temporal and spat...
Article
Full-text available
Accurate classification and mapping of crops is essential for supporting sustainable land management. Such maps can be created based on satellite remote sensing; however, the selection of input data and optimal classifier algorithm still needs to be addressed especially for areas where field data is scarce. We exploited the intra-annual variation o...
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...