Peer-reviewed articles 17,970 +


Title: AUTOMATIC URBANISATION MONITORING FOR RISK ASSESSMENT BY REMOTE SENSING AND COPERNICUS DATA – A PRELIMINARY RESEARCH
AUTOMATIC URBANISATION MONITORING FOR RISK ASSESSMENT BY REMOTE SENSING AND COPERNICUS DATA – A PRELIMINARY RESEARCH

PlumX Article Metrics by Elsevier
Iva Gasparovic; Mateo Gasparovic; Filip Radic; Mario Uros
10.5593/sgem2024v/4.2/s19.33
10.5593/sgem2024v/4.2
1314-2704
978-619-7603-77-4
English
24
4.2
•    Prof. DSc. Oleksandr Trofymchuk, UKRAINE 
•    Prof. Dr. hab. oec. Baiba Rivza, LATVIA
Ecology, Biodiversity, and Environmental Protection
Rapid urbanization increases the vulnerability of cities to natural hazards, especially earthquakes, as unplanned growth can aggravate structural risks and strain infrastructure. This research is based on a project “Automatic urbanization monitoring for risk assessment by remote sensing and Copernicus data” which aims to improve the detection of urban growth patterns and identify areas with increased seismic vulnerability. This project’s main goal is to develop and test a prototype for automatic urbanization monitoring for risk assessment aided by remote sensing and Copernicus data for fast and accurate data acquisition and to provide improved risk assessment for the study sites in Croatia. The development of an automatic system for urbanization monitoring for risk assessment will enable the acquisition of accurate and current spatial and attribute data of buildings, such as building construction year. Using advanced image processing and machine learning techniques, the system analyses Earth observation satellite data to map urban extent, assess changes in land use, and identify critical areas where rapid growth may affect structural stability. This preliminary research demonstrates an algorithm for building construction year detection from Earth observation (EO) data. This research utilized Sentinel-2 imagery to extract building construction years for Tresnjevka sjever in Zagreb, Croatia. The preliminary results are promising, demonstrating that Earth Observation (EO) data, specifically Sentinel-2, can effectively assess building construction year. This approach is adaptable to other locations worldwide and, as EO data, other satellite missions can be used like Landsat, PlanetScope, etc. The automated method offers valuable insights for urban planners and policymakers, supporting proactive disaster preparedness and enhancing urban resilience.
[1] Zhou, N. Q., & Zhao, S. Urbanization process and induced environmental geological hazards in China. Natural Hazards, 67, 797-810, 2013.
[2] Dodman, D., Leck, H., Rusca, M., & Colenbrander, S. African urbanisation and urbanism: Implications for risk accumulation and reduction. International journal of disaster risk reduction, 26, 7-15, 2017.
[3] Sanusi, M. S. M., Ramli, A. T., Hassan, W. M. S. W., Lee, M. H., Izham, A., Said, M. N., ... & Heryanshah, A. Assessment of impact of urbanisation on background radiation exposure and human health risk estimation in Kuala Lumpur, Malaysia. Environment international, 104, 91-101, 2017.
[4] Gasparovic, M. Urban growth pattern detection and analysis. In Urban ecology (pp. 35-48). Elsevier, 2020.
[5] Danciu L., Nandan S., Reyes C., Basili R., Weatherill G., Beauval C., Rovida A., Vilanova S., Sesetyan K., Bard P-Y., Cotton F., Wiemer S., Giardini D.- The 2020 update of the European Seismic Hazard Model: Model Overview. EFEHR Technical Report 001, v1.0.0, https://doi.org/10.12686/a15, 2021.
[6] Herak M., Allegretti I., Herak D., Ivancic I., Kuk V., Maric K., Markusic S., Sovic I. Republika Hrvatska, Karta potresnih podrucja, http://seizkarta.gfz.hr, 2011.
[7] Atalic, J., Hak, S. Risk assessment of natural disasters in Republic of Croatia – seismic risk assessment (in Croatian), in collaboration of FCE with NRPD and MCPP, 2014.
[8] Cummins, J.D., Mahul, O. Catastrophe Risk Financing In Developing Countries: Principles For Public Intervention, The World Bank, Washington DC, USA, 2009.
[9] Mehta, H., Kanani, P., & Lande, P. Google maps. International Journal of Computer Applications, 178(8), 41-46, 2019.
[10] Jiang, Z., Huete, A. R., Didan, K., & Miura, T. Development of a two-band enhanced vegetation index without a blue band. Remote sensing of Environment, 112(10), 3833-3845, 2008.
[11] Huete, A. R.. A soil-adjusted vegetation index (SAVI). Remote sensing of environment, 25(3), 295-309, 1988.
[12] Rouse, J. W., Haas, R. H., Schell, J. A., & Deering, D. W. Monitoring vegetation systems in the Great Plains with ERTS. NASA Spec. Publ, 351(1), 309, 1974.
[13] Zhang, Y., Odeh, I. O., & Han, C. Bi-temporal characterization of land surface temperature in relation to impervious surface area, NDVI and NDBI, using a sub-pixel image analysis. International Journal of Applied Earth Observation and Geoinformation, 11(4), 256-264, 2009.
[14] Kaimaris, D., & Patias, P. Identification and Area Measurement of the Built-up Area with the Built-up Index (BUI). Int. J. Adv. Remote Sens. GIS, 5(1), 1844-1858, 2016.
[15] Gasparovic, M., Klobucar, D., & Gasparovic, I. Automatic Forest degradation monitoring by remote sensing methods and Copernicus data. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 43, 611-616, 2022.
This work was supported by the Europe Space Agency for the RS4RISK project: “Automatic urbanization monitoring for risk assessment by remote sensing and Copernicus data”.
conference
https://doi.org/10.5593/sgem2024v/4.2/s19.33
Download PDF
Proceedings of 24th International Multidisciplinary Scientific GeoConference SGEM 2024
24th International Multidisciplinary Scientific GeoConference SGEM 2024, 27 - 30 November, 2024
Proceedings Paper
STEF92 Technology
International Multidisciplinary Scientific GeoConference Surveying Geology and Mining Ecology Management, SGEM
SWS Scholarly Society; Acad Sci Czech Republ; Latvian Acad Sci; Polish Acad Sci; Russian Acad Sci; Serbian Acad Sci and Arts; Natl Acad Sci Ukraine; Natl Acad Sci Armenia; Sci Council Japan; European Acad Sci, Arts and Letters; Acad Fine Arts Zagreb Croatia; Croatian Acad Sci and Arts; Acad Sci Moldova; Montenegrin Acad Sci and Arts; Georgian Acad Sci; Acad Fine Arts and Design Bratislava; Russian Acad Arts; Turkish Acad Sci.
245-252
27 - 30 November, 2024
website
10124
remote sensing, risk assessment, Earth observation, urbanization

25th SGEM International Conference on Earth & Planetary Sciences


International GeoConference SGEM2025
27 June - 6 July, 2025 / Albena, Bulgaria

Read More		   

SGEM Vienna GREEN "Green Science for Green Life"


Extended Scientific Sessions SGEM Vienna GREEN
3 -6 December, 2025 / Vienna, Austria

Read More
   

A scientific platform for Art-Inspired Scientists!


The Magical World Where Science meets Art
Vienna, Austria

Read More