Leonid Shumilo

Leonid Shumilo
University of Maryland, College Park | UMD, UMCP, University of Maryland College Park · Department of Geographical Sciences

Master of Applied Science

About

48
Publications
8,208
Reads
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279
Citations
Citations since 2016
48 Research Items
279 Citations
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
2016201720182019202020212022020406080100120
Education
September 2021 - July 2025
University of Maryland
Field of study
  • Geographical Sciences and Remote Sensing
September 2019 - July 2020
September 2014 - July 2018

Publications

Publications (48)
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...
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...
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
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...
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...
Chapter
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...
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
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...
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...
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
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
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...
Thesis
Full-text available
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...
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...
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
Full-text available
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...
Conference Paper
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...
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...
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"
Thesis
Full-text available
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...
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
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...
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...

Questions

Question (1)
Question
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!

Network

Cited By

Projects

Projects (9)
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.