Štrbac, Orhideja

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536645d3-4e6a-4b0f-a4f3-b562b1a96d4c
  • Štrbac, Orhideja (2)
Projects

Author's Bibliography

Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets

Štrbac, Orhideja; Milanović, Miško; Ogrizović, Vukan

(Baia Mare : North University of Baia Mare, 2017)

TY  - JOUR
AU  - Štrbac, Orhideja
AU  - Milanović, Miško
AU  - Ogrizović, Vukan
PY  - 2017
UR  - https://gery.gef.bg.ac.rs/handle/123456789/801
AB  - Climate data and remote sensing images are used in this study to estimate the evapotranspiration of urban landscape vegetation. The study was conducted on a historic public park in Vrgac (Serbia), which is an important Serbian national heritage site. After comparing recordings from 14 weather stations in the region with recordings from the City Park, the weather station in Vrgac was chosen. The daily averaged values of climatic data for March, June, July and October of each year between 1949 and 2016, were used to compute the daily reference evapotranspiration ET] (mm/day), according to the FAO-56 Penman-Monteith equation. A landscape coefficient was estimated through field monitoring based on the Water Use Classification of Landscape Species (WUCOLS) principles. Also, thermal infrared images from Landsat 8 and the Normalized Difference Vegetation Index (NDVI) from the QuickBird Satellite data are used as the remote sensing inputs to model daily evapotranspiration. This research explored the relationship between urban vegetation ET1 computed by the FAO-56 Penman Monteith method with the required meteorological data and by means of the remote sensing. The analysis revealed the significant correlation between the average daily evapotranspiration estimates from 0.98 to 0.99 by the Nadaraya-Watson kernel regression and the weak Spearman's Rank correlation (p ranges from -0.006 to 0.384) leading to the conclusion that the Nadaraya-Watson kernel regression is more suitable for evaluating urban landscape water requirements.
PB  - Baia Mare : North University of Baia Mare
T2  - Carpathian Journal of Earth and Environmental Sciences
T1  - Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets
VL  - 12
IS  - 2
SP  - 605
EP  - 616
UR  - https://hdl.handle.net/21.15107/rcub_gery_801
ER  - 
@article{
author = "Štrbac, Orhideja and Milanović, Miško and Ogrizović, Vukan",
year = "2017",
abstract = "Climate data and remote sensing images are used in this study to estimate the evapotranspiration of urban landscape vegetation. The study was conducted on a historic public park in Vrgac (Serbia), which is an important Serbian national heritage site. After comparing recordings from 14 weather stations in the region with recordings from the City Park, the weather station in Vrgac was chosen. The daily averaged values of climatic data for March, June, July and October of each year between 1949 and 2016, were used to compute the daily reference evapotranspiration ET] (mm/day), according to the FAO-56 Penman-Monteith equation. A landscape coefficient was estimated through field monitoring based on the Water Use Classification of Landscape Species (WUCOLS) principles. Also, thermal infrared images from Landsat 8 and the Normalized Difference Vegetation Index (NDVI) from the QuickBird Satellite data are used as the remote sensing inputs to model daily evapotranspiration. This research explored the relationship between urban vegetation ET1 computed by the FAO-56 Penman Monteith method with the required meteorological data and by means of the remote sensing. The analysis revealed the significant correlation between the average daily evapotranspiration estimates from 0.98 to 0.99 by the Nadaraya-Watson kernel regression and the weak Spearman's Rank correlation (p ranges from -0.006 to 0.384) leading to the conclusion that the Nadaraya-Watson kernel regression is more suitable for evaluating urban landscape water requirements.",
publisher = "Baia Mare : North University of Baia Mare",
journal = "Carpathian Journal of Earth and Environmental Sciences",
title = "Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets",
volume = "12",
number = "2",
pages = "605-616",
url = "https://hdl.handle.net/21.15107/rcub_gery_801"
}
Štrbac, O., Milanović, M.,& Ogrizović, V.. (2017). Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets. in Carpathian Journal of Earth and Environmental Sciences
Baia Mare : North University of Baia Mare., 12(2), 605-616.
https://hdl.handle.net/21.15107/rcub_gery_801
Štrbac O, Milanović M, Ogrizović V. Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets. in Carpathian Journal of Earth and Environmental Sciences. 2017;12(2):605-616.
https://hdl.handle.net/21.15107/rcub_gery_801 .
Štrbac, Orhideja, Milanović, Miško, Ogrizović, Vukan, "Estimation the evapotranspiration of urban parks with field based and remotely sensed datasets" in Carpathian Journal of Earth and Environmental Sciences, 12, no. 2 (2017):605-616,
https://hdl.handle.net/21.15107/rcub_gery_801 .
2

Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'

Milanović, Miško; Čakmak, Dragan; Perović, Veljko; Štrbac, Orhideja; Bakrač, Saša T.

(Savez geodeta Srbije, Beograd, 2014)

TY  - JOUR
AU  - Milanović, Miško
AU  - Čakmak, Dragan
AU  - Perović, Veljko
AU  - Štrbac, Orhideja
AU  - Bakrač, Saša T.
PY  - 2014
UR  - https://gery.gef.bg.ac.rs/handle/123456789/616
AB  - The subject of this work is the protection zone and the 'Kula' area of outstanding features in Vršac Mountains. Soil samples were taken at certain locations and were later detailed laboratory processed. Regarding the site of the 'Kula area' and degree of protection, the main goal of this study was to determine the degree of degrading soil covering surface. For the studied territory, the presence of high Fe and Mn and low Cu in the samples is proven.
PB  - Savez geodeta Srbije, Beograd
T2  - Geonauka
T1  - Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'
VL  - 2
IS  - 4
SP  - 23
EP  - 29
DO  - 10.14438/gn.2014.28
UR  - https://hdl.handle.net/21.15107/rcub_gery_616
ER  - 
@article{
author = "Milanović, Miško and Čakmak, Dragan and Perović, Veljko and Štrbac, Orhideja and Bakrač, Saša T.",
year = "2014",
abstract = "The subject of this work is the protection zone and the 'Kula' area of outstanding features in Vršac Mountains. Soil samples were taken at certain locations and were later detailed laboratory processed. Regarding the site of the 'Kula area' and degree of protection, the main goal of this study was to determine the degree of degrading soil covering surface. For the studied territory, the presence of high Fe and Mn and low Cu in the samples is proven.",
publisher = "Savez geodeta Srbije, Beograd",
journal = "Geonauka",
title = "Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'",
volume = "2",
number = "4",
pages = "23-29",
doi = "10.14438/gn.2014.28",
url = "https://hdl.handle.net/21.15107/rcub_gery_616"
}
Milanović, M., Čakmak, D., Perović, V., Štrbac, O.,& Bakrač, S. T.. (2014). Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'. in Geonauka
Savez geodeta Srbije, Beograd., 2(4), 23-29.
https://doi.org/10.14438/gn.2014.28
https://hdl.handle.net/21.15107/rcub_gery_616
Milanović M, Čakmak D, Perović V, Štrbac O, Bakrač ST. Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'. in Geonauka. 2014;2(4):23-29.
doi:10.14438/gn.2014.28
https://hdl.handle.net/21.15107/rcub_gery_616 .
Milanović, Miško, Čakmak, Dragan, Perović, Veljko, Štrbac, Orhideja, Bakrač, Saša T., "Geospatial analysis of soil pollution by hurtful materials in the Vršac mountains, Serbia: Case study: Landscapes of outstanding features 'Kula'" in Geonauka, 2, no. 4 (2014):23-29,
https://doi.org/10.14438/gn.2014.28 .,
https://hdl.handle.net/21.15107/rcub_gery_616 .