TY  - JOUR
AU  - Morar, Cezar
AU  - Lukić, Tin
AU  - Valjarević, Aleksandar
AU  - Niemets, Liudmyla
AU  - Kostrikov, Sergiy
AU  - Sehida, Kateryna
AU  - Telebienieva, Ievgeniia
AU  - Kliuchko, Liudmyla
AU  - Kobylin, Pavlo
PY  - 2022
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1183
AB  - Тhe contemporary globalized world characterizes the rapid population growth, its significant concentration in cities, and an increase in the urban population. Currently, many socio-cultural, economic, environmental, and other challenges are arising in modern cities, negatively affecting the state of the urban environment, health, and quality of life.There is a need to study these problems in order to solve them. Urban Green Areas (UGAs) are a part of the social space and a vital part of the urban landscape. They act as an environmental framework of the territory and a factor ensuring a more comfortable
environment of human life. This study aims at substantiating the importance of the UGAs, identifying the spatiotemporal dynamics of their functioning, and transforming
changes in their infrastructure given the expansion of their functions. This research was carried out as a case study of the second city in Ukraine, Kharkiv. The authors developed and used an original integrated approach using urban remote sensing (URS) and GIS for changes detection to evaluate the current state and monitor spatial transformations of the
UGAs. We used several GIS platforms and online resources to overcome the lack of digital cadastre of the thematic municipal area of Kharkiv. This resulted in the present original
study. The study analyses the dynamics of the spatial and functional organization of the UGAs according to the Master Plans, plans, maps, and functional zoning of the city for the
period from 1867 to 2019. The peripheral green areas became important after the large scale development of the extensive residential areas during the rapid industrial development in remote districts of the city. They provide opportunities for population recreation near living places. Central UGAs are modern, comprehensively developed clusters with multidisciplinary infrastructure, while the peripheral UGAs are currently being developed. The use of URS/GIS tools in the analysis of the satellite images covering 2000–2020 allowed identifying the factors of the UGAs losses in Kharkiv and finding that UGAs were not expanding and partially shrinking during the study period. It is caused by the intensive construction of the residential neighborhoods, primarily peripheral areas, infrastructure development, and expansion of the city transport network. Nonetheless, some sustainable trends of UGA functioning without more or less significant decrease could be proved as existing in a long-term perspective. The authors analyzed and evaluated changes and expansion of the UGAs functions according to modern social
demand. The research value of this is the usage of different approaches, scientific sources, URS/GIS tools to determine the UGAs transformation in the second-largest city in Ukraine
(Kharkiv), to expand and update the main functions of UGAs and their role in the population’s recreation. The obtained scientific results can be used to update thefollowing strategies, programs, and development plans of Kharkiv.
PB  - Frontiers Media SA
T2  - Frontiers in Environmental Science
T1  - Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine
VL  - 10
SP  - 823129
DO  - 10.3389/fenvs.2022.823129
ER  - 

@article{
author = "Morar, Cezar and Lukić, Tin and Valjarević, Aleksandar and Niemets, Liudmyla and Kostrikov, Sergiy and Sehida, Kateryna and Telebienieva, Ievgeniia and Kliuchko, Liudmyla and Kobylin, Pavlo",
year = "2022",
abstract = "Тhe contemporary globalized world characterizes the rapid population growth, its significant concentration in cities, and an increase in the urban population. Currently, many socio-cultural, economic, environmental, and other challenges are arising in modern cities, negatively affecting the state of the urban environment, health, and quality of life.There is a need to study these problems in order to solve them. Urban Green Areas (UGAs) are a part of the social space and a vital part of the urban landscape. They act as an environmental framework of the territory and a factor ensuring a more comfortable
environment of human life. This study aims at substantiating the importance of the UGAs, identifying the spatiotemporal dynamics of their functioning, and transforming
changes in their infrastructure given the expansion of their functions. This research was carried out as a case study of the second city in Ukraine, Kharkiv. The authors developed and used an original integrated approach using urban remote sensing (URS) and GIS for changes detection to evaluate the current state and monitor spatial transformations of the
UGAs. We used several GIS platforms and online resources to overcome the lack of digital cadastre of the thematic municipal area of Kharkiv. This resulted in the present original
study. The study analyses the dynamics of the spatial and functional organization of the UGAs according to the Master Plans, plans, maps, and functional zoning of the city for the
period from 1867 to 2019. The peripheral green areas became important after the large scale development of the extensive residential areas during the rapid industrial development in remote districts of the city. They provide opportunities for population recreation near living places. Central UGAs are modern, comprehensively developed clusters with multidisciplinary infrastructure, while the peripheral UGAs are currently being developed. The use of URS/GIS tools in the analysis of the satellite images covering 2000–2020 allowed identifying the factors of the UGAs losses in Kharkiv and finding that UGAs were not expanding and partially shrinking during the study period. It is caused by the intensive construction of the residential neighborhoods, primarily peripheral areas, infrastructure development, and expansion of the city transport network. Nonetheless, some sustainable trends of UGA functioning without more or less significant decrease could be proved as existing in a long-term perspective. The authors analyzed and evaluated changes and expansion of the UGAs functions according to modern social
demand. The research value of this is the usage of different approaches, scientific sources, URS/GIS tools to determine the UGAs transformation in the second-largest city in Ukraine
(Kharkiv), to expand and update the main functions of UGAs and their role in the population’s recreation. The obtained scientific results can be used to update thefollowing strategies, programs, and development plans of Kharkiv.",
publisher = "Frontiers Media SA",
journal = "Frontiers in Environmental Science",
title = "Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine",
volume = "10",
pages = "823129",
doi = "10.3389/fenvs.2022.823129"
}

Morar, C., Lukić, T., Valjarević, A., Niemets, L., Kostrikov, S., Sehida, K., Telebienieva, I., Kliuchko, L.,& Kobylin, P.. (2022). Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine. in Frontiers in Environmental Science
Frontiers Media SA., 10, 823129.
https://doi.org/10.3389/fenvs.2022.823129

Morar C, Lukić T, Valjarević A, Niemets L, Kostrikov S, Sehida K, Telebienieva I, Kliuchko L, Kobylin P. Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine. in Frontiers in Environmental Science. 2022;10:823129.
doi:10.3389/fenvs.2022.823129 .

Morar, Cezar, Lukić, Tin, Valjarević, Aleksandar, Niemets, Liudmyla, Kostrikov, Sergiy, Sehida, Kateryna, Telebienieva, Ievgeniia, Kliuchko, Liudmyla, Kobylin, Pavlo, "Spatiotemporal Analysis of Urban Green Areas Using Change Detection: A Case Study of Kharkiv, Ukraine" in Frontiers in Environmental Science, 10 (2022):823129,
https://doi.org/10.3389/fenvs.2022.823129 . .

TY  - JOUR
AU  - Valjarević, Aleksandar
AU  - Morar, Cezar
AU  - Živković, Jelena
AU  - Niemets, Liudmyla
AU  - Kićović, Dušan
AU  - Golijanin, Jelena
AU  - Gocić, Milena
AU  - Martić-Bursać, Nataša
AU  - Stričević, Ljiljana
AU  - Žiberna, Igor
AU  - Bačević, Nikola
AU  - Milevski, Ivica
AU  - Durlević, Uroš
AU  - Lukić, Tin
PY  - 2021
UR  - http://gery.gef.bg.ac.rs/handle/123456789/1331
AB  - The use of weather satellite recordings has been growing rapidly over the last three decades.
Determining the patterns between meteorological and topographical features is an important scientific
job. Cloud cover analysis and properties can be of the utmost significance for potential cloud seeding.
Here, the analysis of the cloud properties was conducted by means of Moderate Resolution Imaging
Spectroradiometer (MODIS) satellite recordings. The resolution of used data was 1 km2 within the
period of 30 years (1989–2019). This research showed moderate changing of cloudiness in the territory
of Serbia with a high cloudiness in February, followed by cloudiness in January and November. For
the past three decades, May has been the month with the highest cloudiness. The regions in the east
and south-west, and particularly in the west, have a high absolute cloudiness, which is connected
with the high elevation of the country. By means of long term monitoring, the whole territory of
Serbia was analyzed for the first time, in terms of cloudiness. Apart from the statistical and numerical
results obtained, this research showed a connection between relief and clouds, especially in the
winter season. Linear regression MK (Mann-Kendall test) has proven this theory right, connecting
high elevation sides with high absolute cloudiness through the year.
PB  - Basel : MDPI
T2  - Atmosphere
T1  - Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia
VL  - 12
IS  - 8
SP  - 964
DO  - 10.3390/atmos12080964
ER  - 

@article{
author = "Valjarević, Aleksandar and Morar, Cezar and Živković, Jelena and Niemets, Liudmyla and Kićović, Dušan and Golijanin, Jelena and Gocić, Milena and Martić-Bursać, Nataša and Stričević, Ljiljana and Žiberna, Igor and Bačević, Nikola and Milevski, Ivica and Durlević, Uroš and Lukić, Tin",
year = "2021",
abstract = "The use of weather satellite recordings has been growing rapidly over the last three decades.
Determining the patterns between meteorological and topographical features is an important scientific
job. Cloud cover analysis and properties can be of the utmost significance for potential cloud seeding.
Here, the analysis of the cloud properties was conducted by means of Moderate Resolution Imaging
Spectroradiometer (MODIS) satellite recordings. The resolution of used data was 1 km2 within the
period of 30 years (1989–2019). This research showed moderate changing of cloudiness in the territory
of Serbia with a high cloudiness in February, followed by cloudiness in January and November. For
the past three decades, May has been the month with the highest cloudiness. The regions in the east
and south-west, and particularly in the west, have a high absolute cloudiness, which is connected
with the high elevation of the country. By means of long term monitoring, the whole territory of
Serbia was analyzed for the first time, in terms of cloudiness. Apart from the statistical and numerical
results obtained, this research showed a connection between relief and clouds, especially in the
winter season. Linear regression MK (Mann-Kendall test) has proven this theory right, connecting
high elevation sides with high absolute cloudiness through the year.",
publisher = "Basel : MDPI",
journal = "Atmosphere",
title = "Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia",
volume = "12",
number = "8",
pages = "964",
doi = "10.3390/atmos12080964"
}

Valjarević, A., Morar, C., Živković, J., Niemets, L., Kićović, D., Golijanin, J., Gocić, M., Martić-Bursać, N., Stričević, L., Žiberna, I., Bačević, N., Milevski, I., Durlević, U.,& Lukić, T.. (2021). Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia. in Atmosphere
Basel : MDPI., 12(8), 964.
https://doi.org/10.3390/atmos12080964

Valjarević A, Morar C, Živković J, Niemets L, Kićović D, Golijanin J, Gocić M, Martić-Bursać N, Stričević L, Žiberna I, Bačević N, Milevski I, Durlević U, Lukić T. Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia. in Atmosphere. 2021;12(8):964.
doi:10.3390/atmos12080964 .

Valjarević, Aleksandar, Morar, Cezar, Živković, Jelena, Niemets, Liudmyla, Kićović, Dušan, Golijanin, Jelena, Gocić, Milena, Martić-Bursać, Nataša, Stričević, Ljiljana, Žiberna, Igor, Bačević, Nikola, Milevski, Ivica, Durlević, Uroš, Lukić, Tin, "Long Term Monitoring and Connection between Topography and Cloud Cover Distribution in Serbia" in Atmosphere, 12, no. 8 (2021):964,
https://doi.org/10.3390/atmos12080964 . .