Using Historical Aerial Photography in Landslide Monitoring: Umka Case Study, Serbia
Dejan Radovan Đorđević,
Uroš Đurić,
Saša Tomislav Bakrač (),
Siniša Milanko Drobnjak () and
Stevan Radojčić
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Dejan Radovan Đorđević: Military Geographical Institute, Mije Kovačevića St. 5, 11000 Belgrade, Serbia
Uroš Đurić: Faculty of Civil Engineering, University of Belgrade, Bulevar kralja Aleksandra St. 73, 11000 Belgrade, Serbia
Saša Tomislav Bakrač: Military Geographical Institute, Mije Kovačevića St. 5, 11000 Belgrade, Serbia
Siniša Milanko Drobnjak: Military Geographical Institute, Mije Kovačevića St. 5, 11000 Belgrade, Serbia
Stevan Radojčić: Military Geographical Institute, Mije Kovačevića St. 5, 11000 Belgrade, Serbia
Land, 2022, vol. 11, issue 12, 1-17
Abstract:
The application of remote sensing methods provides useful information that can be used for numerous research. Thus, spatial changes in soil, vegetation, hydrography and such can be analyzed. By analyzing the data obtained by remote sensing methods, high-quality and important data can be obtained for monitoring changes in soil movement caused by landslides. This method provides the possibility of determining the state of the observed space over a longer period of time. Historical aerial imagery has a high level of spatial detail analysis. Comparative analysis of the aerial imagery from the past, recent ones and other surveys can certainly provide information on the trend of ground movement, as well as lead to conclusions for taking specific measures. The present paper gives an example of the analysis of the particular area of the “Umka” landslide based on historical surveys. The “Umka” landslide is located along the right bank of the Sava River near the city of Belgrade, which, with its long-term activity, jeopardizes residential buildings, infrastructure facilities and the population that still lives on it.
Keywords: aerial photography; photography processing; landslide monitoring; remote sensing (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jlands:v:11:y:2022:i:12:p:2282-:d:1001917
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