TY  - JOUR
AU  - Petković, Dušan
AU  - Brajović, Ljiljana
AU  - Vasilić, Violeta
AU  - Босиочић, Станислава
PY  - 2023
UR  - https://www.sits.org.rs/textview.php?file=917.html
UR  - https://scindeks.ceon.rs/Article.aspx?artid=0040-21762301021P
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/3043
AB  - Višefrekvencijski GNSS satelitski signali i njihova dostupnost omogućavaju istraživanja u nediferenciranom i nekombinovanom modelu u kome je pojedinačni signal na svakoj frekvenciji odgovarajuće nezavisno opažanje. Ovakve mogućnosti izazivaju veliko interesovanje ne samo u geodetskim istraživanjima već i u mnogim oblastima primene GNSS opažanja. Na geometrijskoj putanji signala između satelita i prijemnika, značajni izvor grešaka GNSS merenja dolazi zbog sredine prostiranja elektromagnetskih talasa. Greške koje se pripisuju prostiranju signala su jonosferski i troposferski uticaji. Navedeni izvori grešaka značajno utiču na kvalitet određenih pseudodužina, pa samim time i na kvalitet određenog položaja prijemnika u vidu trodimenzionalnih koordinata. U radu je prikazana analiza i određivanje jonosferskog kašnjenja GNSS satelitskih signala na osnovu određivanja Total Electron Content – TEC na pet stanica (Beograd, Leskovac, Sombor, Zaječar i Kraljevo) na prostoru Republike Srbije. U cilju određivanja vrednosti TEC-a, korišćen je softver pod nazivom „GPS-TEC analysis“ razvijen  u okviru Institute for Scientific Research, Boston College, USA, koji omogućava određivanje TEC vrednosti na  putanji između satelita i prijemnika. Prikupljanje podataka izvršeno je u okviru 2022. godine tako da merne sesije obuhvate karakteristične datume u okviru godine kada se očekuju najveća kolebanja u kontekstu sezonskih varijacija.
AB  - Multi-frequency GNSS satellite signals and their availability enable research in undifferentiated and uncombined models in which a single signal at each frequency is a corresponding independent observation. Such possibilities are reflected by the significant interest in geodetic research as well as in many areas of application of GNSS observation. On the geometric path of the signal between the satellite and the receiver, a significant source of GNSS measurement errors comes from the medium of propagation of electromagnetic waves. Errors attributed to signal propagation are ionospheric and tropospheric signal delay. The mentioned error sources significantly affect the quality of certain pseudorange and, thus, the quality of the receiver's position in the form of three-dimensional coordinates. This paper presents the analysis and determination of the ionospheric delay of GNSS satellite signals based on the determination of Total Electron Content - TEC at five stations (Beograd, Leskovac, Sombor, Zaječar, and Kraljevo) in the territory of the Republic of Serbia. In order to determine TEC values, the software called "GPS-TEC analysis" developed within the Institute for Scientific Research, Boston College, USA was used, which enables the determination of the TEC value on the path between the satellite and the receiver. The data collection was carried out within the year 2022 so that the measurement sessions include characteristic dates when the most significant fluctuations are expected in the context of seasonal variations.
PB  - Savez inženjera i tehničara Srbije, Beograd
T2  - Tehnika
T1  - Doprinos određivanju jonosferskog kašnjenja GNSS satelitskih signala na teritoriji Republike Srbije
EP  - 28
IS  - 1
SP  - 21
VL  - 78
DO  - 10.5937/tehnika2301021P
ER  - 

@article{
author = "Petković, Dušan and Brajović, Ljiljana and Vasilić, Violeta and Босиочић, Станислава",
year = "2023",
abstract = "Višefrekvencijski GNSS satelitski signali i njihova dostupnost omogućavaju istraživanja u nediferenciranom i nekombinovanom modelu u kome je pojedinačni signal na svakoj frekvenciji odgovarajuće nezavisno opažanje. Ovakve mogućnosti izazivaju veliko interesovanje ne samo u geodetskim istraživanjima već i u mnogim oblastima primene GNSS opažanja. Na geometrijskoj putanji signala između satelita i prijemnika, značajni izvor grešaka GNSS merenja dolazi zbog sredine prostiranja elektromagnetskih talasa. Greške koje se pripisuju prostiranju signala su jonosferski i troposferski uticaji. Navedeni izvori grešaka značajno utiču na kvalitet određenih pseudodužina, pa samim time i na kvalitet određenog položaja prijemnika u vidu trodimenzionalnih koordinata. U radu je prikazana analiza i određivanje jonosferskog kašnjenja GNSS satelitskih signala na osnovu određivanja Total Electron Content – TEC na pet stanica (Beograd, Leskovac, Sombor, Zaječar i Kraljevo) na prostoru Republike Srbije. U cilju određivanja vrednosti TEC-a, korišćen je softver pod nazivom „GPS-TEC analysis“ razvijen  u okviru Institute for Scientific Research, Boston College, USA, koji omogućava određivanje TEC vrednosti na  putanji između satelita i prijemnika. Prikupljanje podataka izvršeno je u okviru 2022. godine tako da merne sesije obuhvate karakteristične datume u okviru godine kada se očekuju najveća kolebanja u kontekstu sezonskih varijacija., Multi-frequency GNSS satellite signals and their availability enable research in undifferentiated and uncombined models in which a single signal at each frequency is a corresponding independent observation. Such possibilities are reflected by the significant interest in geodetic research as well as in many areas of application of GNSS observation. On the geometric path of the signal between the satellite and the receiver, a significant source of GNSS measurement errors comes from the medium of propagation of electromagnetic waves. Errors attributed to signal propagation are ionospheric and tropospheric signal delay. The mentioned error sources significantly affect the quality of certain pseudorange and, thus, the quality of the receiver's position in the form of three-dimensional coordinates. This paper presents the analysis and determination of the ionospheric delay of GNSS satellite signals based on the determination of Total Electron Content - TEC at five stations (Beograd, Leskovac, Sombor, Zaječar, and Kraljevo) in the territory of the Republic of Serbia. In order to determine TEC values, the software called "GPS-TEC analysis" developed within the Institute for Scientific Research, Boston College, USA was used, which enables the determination of the TEC value on the path between the satellite and the receiver. The data collection was carried out within the year 2022 so that the measurement sessions include characteristic dates when the most significant fluctuations are expected in the context of seasonal variations.",
publisher = "Savez inženjera i tehničara Srbije, Beograd",
journal = "Tehnika",
title = "Doprinos određivanju jonosferskog kašnjenja GNSS satelitskih signala na teritoriji Republike Srbije",
pages = "28-21",
number = "1",
volume = "78",
doi = "10.5937/tehnika2301021P"
}

Petković, D., Brajović, L., Vasilić, V.,& Босиочић, С.. (2023). Doprinos određivanju jonosferskog kašnjenja GNSS satelitskih signala na teritoriji Republike Srbije. in Tehnika
Savez inženjera i tehničara Srbije, Beograd., 78(1), 21-28.
https://doi.org/10.5937/tehnika2301021P

Petković D, Brajović L, Vasilić V, Босиочић С. Doprinos određivanju jonosferskog kašnjenja GNSS satelitskih signala na teritoriji Republike Srbije. in Tehnika. 2023;78(1):21-28.
doi:10.5937/tehnika2301021P .

Petković, Dušan, Brajović, Ljiljana, Vasilić, Violeta, Босиочић, Станислава, "Doprinos određivanju jonosferskog kašnjenja GNSS satelitskih signala na teritoriji Republike Srbije" in Tehnika, 78, no. 1 (2023):21-28,
https://doi.org/10.5937/tehnika2301021P . .

TY  - CONF
AU  - Босиочић, Станислава
AU  - Босиочић, Небојша
AU  - Petković, Dušan
AU  - Костић, Миодраг
PY  - 2020
UR  - https://symopis.sf.bg.ac.rs/download/Zbornik%20SYMOPIS%202020.pdf
UR  - https://grafar.grf.bg.ac.rs/handle/123456789/2233
AB  - Sa razvojem raþunara i softvera za obradu rasterskih slika zemljine površi, danas sve više dobijaju na  znaþaju  postupci  automatske  klasifikacije  zemljišnih  oblika.  U  radu  su  uporeÿeni  rezultati  automatske  i  TPI klasifikacije zemljišnih oblika u GIS okruženju. Danas se automatska klasifikacija þesto koristi u analizi reljefnih   formi   podruþja   od   interesa.   Metoda   se   bazira   na   digitalnom   modelu   terena   (DMT)   i   geomorfološkim parametrima koji se mogu izvesti iz matematiþkog modela površi. U ovom radu opisana je metoda  automatske  klasifikacije  zemljišnih  oblika  (unsuperevised  landform  classification)  i  puluautomatske  klasifikacije  zemljišnih  oblika  (superevised  landform  classification).  Za  primenu  metode  osim  DMT  u  radu  su korišüeni parametri: nagib zemljišta, planarna i profilna zakrivljenost i topografski pozicioni indeks (TPI) sa  modelima  susedstva.  Rezultati  su  pokazali  da  se  na  podruþju  od  interesa  nalaze  razliþite  morfografske  kategorije  reljefa.  Rezultati  klasifikacije  raÿeni  za  test  podruþje  dela  opštine  Novi  Pazar  potvrÿuju  da  se  automatske metode mogu koristiti u postupku klasifikacije reljefa.
AB  - With  the  development  of  computers  and  software  for  processing  raster  images  of  the  earth's  surface,  the  procedures  of  automatic  classification  of  landforms  are  becoming  more  and  more  important  today.  The  paper  compares  the  results  of  GIS  based  automatic  and  TPI  classification  of  landforms.Today,  automatic classification is often used in the analysis of relief forms of areas of interest. The method is based on   a   digital   terrain   model   (DMT)   and   geomorphological   parameters   that   can   be   derived   from   a   mathematical  surface  model.  This  paper  describes  the  method  of  automatic  landform  classification  and  superevised  landform  classification.  For  the  application  of  the  method,  apart  from  DMT,  the  following  parameters  were  used:  slope,  planar  and  profile  curvature  and  topographic  position  index  (TPI)  with  neighborhood models. The results showed that there are different morphographic categories of relief in the area of interest. The classification results made for the test area of the part of the municipality of Novi Pazar confirm that automatic methods can be used in the relief classification procedure.
PB  - University of Belgrade, Faculty of Transport and Traffic Engineering
T1  - Application of GIS based digital terrain models in the procedure of automatic classification of landforms
EP  - 98
SP  - 93
UR  - https://hdl.handle.net/21.15107/rcub_grafar_2233
ER  - 

@conference{
author = "Босиочић, Станислава and Босиочић, Небојша and Petković, Dušan and Костић, Миодраг",
year = "2020",
abstract = "Sa razvojem raþunara i softvera za obradu rasterskih slika zemljine površi, danas sve više dobijaju na  znaþaju  postupci  automatske  klasifikacije  zemljišnih  oblika.  U  radu  su  uporeÿeni  rezultati  automatske  i  TPI klasifikacije zemljišnih oblika u GIS okruženju. Danas se automatska klasifikacija þesto koristi u analizi reljefnih   formi   podruþja   od   interesa.   Metoda   se   bazira   na   digitalnom   modelu   terena   (DMT)   i   geomorfološkim parametrima koji se mogu izvesti iz matematiþkog modela površi. U ovom radu opisana je metoda  automatske  klasifikacije  zemljišnih  oblika  (unsuperevised  landform  classification)  i  puluautomatske  klasifikacije  zemljišnih  oblika  (superevised  landform  classification).  Za  primenu  metode  osim  DMT  u  radu  su korišüeni parametri: nagib zemljišta, planarna i profilna zakrivljenost i topografski pozicioni indeks (TPI) sa  modelima  susedstva.  Rezultati  su  pokazali  da  se  na  podruþju  od  interesa  nalaze  razliþite  morfografske  kategorije  reljefa.  Rezultati  klasifikacije  raÿeni  za  test  podruþje  dela  opštine  Novi  Pazar  potvrÿuju  da  se  automatske metode mogu koristiti u postupku klasifikacije reljefa., With  the  development  of  computers  and  software  for  processing  raster  images  of  the  earth's  surface,  the  procedures  of  automatic  classification  of  landforms  are  becoming  more  and  more  important  today.  The  paper  compares  the  results  of  GIS  based  automatic  and  TPI  classification  of  landforms.Today,  automatic classification is often used in the analysis of relief forms of areas of interest. The method is based on   a   digital   terrain   model   (DMT)   and   geomorphological   parameters   that   can   be   derived   from   a   mathematical  surface  model.  This  paper  describes  the  method  of  automatic  landform  classification  and  superevised  landform  classification.  For  the  application  of  the  method,  apart  from  DMT,  the  following  parameters  were  used:  slope,  planar  and  profile  curvature  and  topographic  position  index  (TPI)  with  neighborhood models. The results showed that there are different morphographic categories of relief in the area of interest. The classification results made for the test area of the part of the municipality of Novi Pazar confirm that automatic methods can be used in the relief classification procedure.",
publisher = "University of Belgrade, Faculty of Transport and Traffic Engineering",
title = "Application of GIS based digital terrain models in the procedure of automatic classification of landforms",
pages = "98-93",
url = "https://hdl.handle.net/21.15107/rcub_grafar_2233"
}

Босиочић, С., Босиочић, Н., Petković, D.,& Костић, М.. (2020). Application of GIS based digital terrain models in the procedure of automatic classification of landforms. 
University of Belgrade, Faculty of Transport and Traffic Engineering., 93-98.
https://hdl.handle.net/21.15107/rcub_grafar_2233

Босиочић С, Босиочић Н, Petković D, Костић М. Application of GIS based digital terrain models in the procedure of automatic classification of landforms. 2020;:93-98.
https://hdl.handle.net/21.15107/rcub_grafar_2233 .

Босиочић, Станислава, Босиочић, Небојша, Petković, Dušan, Костић, Миодраг, "Application of GIS based digital terrain models in the procedure of automatic classification of landforms" (2020):93-98,
https://hdl.handle.net/21.15107/rcub_grafar_2233 .