Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina
The subject of this research is the analysis of flood dynamics in the Ukrina River Basin, Bosnia and Herzegovina, using a remote sensing-based approach and geographic information systems during the period 2016–2019. The aim is to identify the spatial and temporal patterns of floods by integrating sa...
Saved in:
| Main Authors: | , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2025-08-01
|
| Series: | Open Geosciences |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/geo-2025-0856 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849235961527926784 |
|---|---|
| author | Sabljić Luka Lukić Tin Bajić Davorin Marković Slobodan B. Spalevic Velibor Cvetković Vladimir M. Delić Dragica Adžić Dragutin Aleksova Bojana Milevski Ivica Srzentić Gordana Petković |
| author_facet | Sabljić Luka Lukić Tin Bajić Davorin Marković Slobodan B. Spalevic Velibor Cvetković Vladimir M. Delić Dragica Adžić Dragutin Aleksova Bojana Milevski Ivica Srzentić Gordana Petković |
| author_sort | Sabljić Luka |
| collection | DOAJ |
| description | The subject of this research is the analysis of flood dynamics in the Ukrina River Basin, Bosnia and Herzegovina, using a remote sensing-based approach and geographic information systems during the period 2016–2019. The aim is to identify the spatial and temporal patterns of floods by integrating satellite-derived precipitation data, hydrological data, and Sentinel-1 imagery processed through Google Earth Engine. The methodology included the use of CHIRPS precipitation data and the Standardized Precipitation Index (SPI) for identifying meteorological anomalies, while Sentinel-1 SAR data were used to map flood extent based on radar backscatter change detection. The approach combined temporal analysis with spatial overlays of land use and administrative boundaries to assess affected areas. Flood events were identified in January 2016 (89.98 ha), March 2017 (179.85 ha), March 2018 (58.81 ha), and May 2019 (195.38 ha), coinciding with periods of above-average precipitation (>125%), positive SPI values, and elevated water levels. The spatial analysis of flooded areas, overlaid with land use data, revealed that agricultural land was the most affected category, with 79.21 ha flooded in 2016, 169.15 ha in 2017, 48.89 ha in 2018, and 184.90 ha in 2019. Built-up areas were also significantly impacted, posing risks to infrastructure and economic stability. The cities and municipalities of Derventa, Prnjavor, and Stanari were most frequently affected by floods during the study period. The findings highlight the role of cumulative precipitation and hydrological conditions in triggering flood events and provide insights for flood risk management, including adaptive strategies, early warning, and sustainable land use planning. |
| format | Article |
| id | doaj-art-9ea3c7c38b914f3190ffde38e0d6109b |
| institution | Kabale University |
| issn | 2391-5447 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Open Geosciences |
| spelling | doaj-art-9ea3c7c38b914f3190ffde38e0d6109b2025-08-20T04:02:32ZengDe GruyterOpen Geosciences2391-54472025-08-01171p. 33210.1515/geo-2025-0856Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and HerzegovinaSabljić Luka0Lukić Tin1Bajić Davorin2Marković Slobodan B.3Spalevic Velibor4Cvetković Vladimir M.5Delić Dragica6Adžić Dragutin7Aleksova Bojana8Milevski Ivica9Srzentić Gordana Petković10Faculty of Natural Sciences and Mathematics, University of Banja Luka, Mladena Stojanovića 2, 78000, Banja Luka, Bosnia and HerzegovinaDepartment of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, SerbiaFaculty of Natural Sciences and Mathematics, University of Banja Luka, Mladena Stojanovića 2, 78000, Banja Luka, Bosnia and HerzegovinaDivision of Geochronology and Environmental Isotopes, Institute of Physics – Centre for Science and Education, University of Technology, Konarskiego 22b, 44100, Gliwice, PolandBiotechnical Faculty, University of Montenegro, Mihaila Lalića 15, 81000, Podgorica, MontenegroDepartment of Disaster Management and Environmental Security, Faculty of Security Studies, University of Belgrade, Gospodara Vučića 50, 11040, Belgrade, SerbiaFaculty of Natural Sciences and Mathematics, University of Banja Luka, Mladena Stojanovića 2, 78000, Banja Luka, Bosnia and HerzegovinaFaculty of Natural Sciences and Mathematics, University of Banja Luka, Mladena Stojanovića 2, 78000, Banja Luka, Bosnia and HerzegovinaDepartment of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, SerbiaInstitute of Geography, Faculty of Natural Sciences and Mathematics, Saints Cyril and Methodius University, Arhimedova 3, 1000, Skopje, North MacedoniaDepartment of Geography, Tourism and Hotel Management, Faculty of Sciences, University of Novi Sad, Trg Dositeja Obradovića 3, 21000, Novi Sad, SerbiaThe subject of this research is the analysis of flood dynamics in the Ukrina River Basin, Bosnia and Herzegovina, using a remote sensing-based approach and geographic information systems during the period 2016–2019. The aim is to identify the spatial and temporal patterns of floods by integrating satellite-derived precipitation data, hydrological data, and Sentinel-1 imagery processed through Google Earth Engine. The methodology included the use of CHIRPS precipitation data and the Standardized Precipitation Index (SPI) for identifying meteorological anomalies, while Sentinel-1 SAR data were used to map flood extent based on radar backscatter change detection. The approach combined temporal analysis with spatial overlays of land use and administrative boundaries to assess affected areas. Flood events were identified in January 2016 (89.98 ha), March 2017 (179.85 ha), March 2018 (58.81 ha), and May 2019 (195.38 ha), coinciding with periods of above-average precipitation (>125%), positive SPI values, and elevated water levels. The spatial analysis of flooded areas, overlaid with land use data, revealed that agricultural land was the most affected category, with 79.21 ha flooded in 2016, 169.15 ha in 2017, 48.89 ha in 2018, and 184.90 ha in 2019. Built-up areas were also significantly impacted, posing risks to infrastructure and economic stability. The cities and municipalities of Derventa, Prnjavor, and Stanari were most frequently affected by floods during the study period. The findings highlight the role of cumulative precipitation and hydrological conditions in triggering flood events and provide insights for flood risk management, including adaptive strategies, early warning, and sustainable land use planning.https://doi.org/10.1515/geo-2025-0856hazardremote sensinggisflood analysisland vulnerabilityflood risk managementukrina river basinbosnia and herzegovina |
| spellingShingle | Sabljić Luka Lukić Tin Bajić Davorin Marković Slobodan B. Spalevic Velibor Cvetković Vladimir M. Delić Dragica Adžić Dragutin Aleksova Bojana Milevski Ivica Srzentić Gordana Petković Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina Open Geosciences hazard remote sensing gis flood analysis land vulnerability flood risk management ukrina river basin bosnia and herzegovina |
| title | Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina |
| title_full | Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina |
| title_fullStr | Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina |
| title_full_unstemmed | Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina |
| title_short | Spatio-temporal analysis of flood events using GIS and remote sensing-based approach in the Ukrina River Basin, Bosnia and Herzegovina |
| title_sort | spatio temporal analysis of flood events using gis and remote sensing based approach in the ukrina river basin bosnia and herzegovina |
| topic | hazard remote sensing gis flood analysis land vulnerability flood risk management ukrina river basin bosnia and herzegovina |
| url | https://doi.org/10.1515/geo-2025-0856 |
| work_keys_str_mv | AT sabljicluka spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT lukictin spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT bajicdavorin spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT markovicslobodanb spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT spalevicvelibor spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT cvetkovicvladimirm spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT delicdragica spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT adzicdragutin spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT aleksovabojana spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT milevskiivica spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina AT srzenticgordanapetkovic spatiotemporalanalysisoffloodeventsusinggisandremotesensingbasedapproachintheukrinariverbasinbosniaandherzegovina |