Determining the influence of the earthquake on the change(s) of objects using remote sensing data

• Autorzy: Chetverikov B. , Babiy L. , Dorozhynskyy O.
• Języki publikacji: EN

Abstrakty

EN

Two methods of determining changes of objects (structures) using remote sensing data obtained in different times are considered in this article. The comparison of the percentage of destroyed buildings as a consequence of the earthquake in L'Aquila city (Italy) was implemented. For comparison two ways of data collection were used: obtaining data by the digitalization of objects before and after the disaster (using MapInfo software) and by automatic image classification using a special module Delta Cue (Erdas software).

Słowa kluczowe

EN

aerial image; space image; Erdas Imagine; vector layer; classification

PL

zdjęcie lotnicze; trzęsienie ziemi

• Wydawca: Wydawnictwo Uniwersytetu Rolniczego w Krakowie
• Czasopismo: Geomatics, Landmanagement and Landscape
• Rocznik: 2013
• Tom: no. 3
• Strony: 7--15
• Opis fizyczny: Bibliogr. 7 poz., rys.

Twórcy

autor

Chetverikov B.

• Lviv Polytechnic National University Department of Photogrammetry and Geoinformatics

autor

Babiy L.

• Lviv Polytechnic National University Department of Photogrammetry and Geoinformatics

autor

Dorozhynskyy O.

• Lviv Polytechnic National University Department of Photogrammetry and Geoinformatics

Bibliografia

• Dorozhynskyy O., Tukaj R. 2009. Fotogrametria. Wydawnictwo Politechniki Lwowskiej, Lwów – Kraków.
• Imamaliyeva J. 2011. Arrangement of protection from natural disasters in the urban economy. Econ. Build. Urban Econ., 7, 1, 59–64.
• Kussul N.M. 2011. High-performance intelligent computations for environmental and disaster monitoring. Intelligent Data Processing in Global Monitoring for Environment and Security, ITHEA, Kyiv–Sophia, 76–103.
• Samoylenko L.I., Kolos L., Pidgorodetska L., Ilienko T., Vlasova E. 2009. Information technology of flood monitoring using remote sensing data, Space Sci. Technol.,15, 3, 50-55.
• Skakun S.V. 2010. Geoinformation service of monitoring of floods using satellite data. Sci. Innovât., 6, 4, 29-36.
• http://www.erdas.com.ua
• http://www.leleky.org