Using historical aerial photography for monitoring of environment changes: a case study of Bovan Lake, Eastern Serbia
Abstract
Useful and important information for the spatial, ecological, and many other changes in the living environment may be obtained using the analysis of historical aerial photography, with comparison to contemporary imagery. This method provides the ability to determine the state of elements of the space over a long period, encompassing the time when it was not possible to acquire the data from satellite imagery or some other contemporary sources. Aerial images are suitable for mapping spatial phenomena with relatively limited spatial distribution because they possess a high level of details and low spatial coverage. With a comparative analysis of aerial imagery from the past, contemporary aerial imagery, and other sources of aerial imagery, we can obtain information about the nature and trends of the observed phenomena as well as directions of future actions, considering changes detected in the environment, whether they are preventive or corrective in nature. This paper gives the methodological framework for the appliance of the existing knowledge from various fields, intending to use historical aerial photography for monitoring of environmental changes of the Bovan Lake in Eastern Serbia.
Keyword : environment, landscape, historical aerial photography, photography processing, mapping, remote sensing, spatial analysis
How to Cite
Bakrač, S., Marković, V., Drobnjak, S., Đorđević, D., & Stamenković, N. (2021). Using historical aerial photography for monitoring of environment changes: a case study of Bovan Lake, Eastern Serbia. Journal of Environmental Engineering and Landscape Management, 29(3), 305-317. https://doi.org/10.3846/jeelm.2021.15567
This work is licensed under a Creative Commons Attribution 4.0 International License.
References
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Johnson, L. B., & Host, G. E. (2010). Recent developments in landscape approaches for the study of aquatic ecosystems. Journal of the North American Benthological Society, 29(1), 41–66. https://doi.org/10.1899/09-030.1
Kanakiya, R. S., Singh, S. K., & Sharma, J. N. (2014). Determining the water quality index of an urban water body Dal Lake, Kashmir, India. IOSR Journal of Environmental Science, Toxicology and Food Technology, 8(12), 64–71. https://doi.org/10.9790/2402-081236471
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Kull, C. A. (2005). Historical landscape repeat photography as a tool for land use change research. Norsk Geografisk Tidsskrift – Norwegian Journal of Geography, 59(4), 253–268. https://doi.org/10.1080/00291950500375443
Li, X., Ming, X., Song, W., Qiu, S., Qu, Y., & Liu, Z. (2016). A fuzzy technique for order preference by similarity to an ideal solution-based quality function deployment for prioritizing technical attributes of new products. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 230(12), 2249–2263. https://doi.org/10.1177/0954405416673111
Lillesand, T. M., & Kiefer, R. W. (Eds.). (2000). Remote sensing and image interpretation (4 ed.). Wiley.
Linder, W. (2009). Digital photogrammetry. Springer. https://doi.org/10.1007/978-3-540-92725-9
Liu, X., Zhang, Z., Peterson, J., & Chandra, S. (2007). LiDARderived high quality ground control information and DEM for image orthorectification. GeoInformatica, 11(1), 37–53. https://doi.org/10.1007/s10707-006-0005-9
Liu, Z., & Yang, H. (2018). The impacts of spatiotemporal landscape changes on Water quality in Shenzhen, China. International Journal of Environmental Research and Public Health, 15(5), 1038. https://doi.org/10.3390/ijerph15051038
Malhi, Y., Wood, D., Baker, T. R., Wright, J., Phillips, O. L., Cochrane, T., Meir, P., Chave, J., Almeida, S., Arroyo, L., Higuchi, N., Killeen, T. J., Laurance, S. G., Laurance, W. F., Lewis, S. L., Monteagudo, A., Neill, D. A., Núñez Vargas, P., Pitman, N. C. A., Alberto Quesada, C., Salomão, R., Silva, J. N. M., Torres Lezama, A., Terborgh, J., Vásquez Martínez, R., & Vinceti, B. (2006). The regional variation of aboveground live biomass in old‐growth Amazonian forests. Global Change Biology, 12(7), 1107–1138. https://doi.org/10.1111/j.1365-2486.2006.01120.x
Melnyk, A. (2008). Ecological analysis of landscapes. Methodology of Landscape Research. Commission of Cultural Landscape of Polish Geographical Society. Sosnowiec. http://krajobraz.kulturowy.us.edu.pl/publikacje.artykuly/metodologia/melnyk.pdf
Military Geographical Institute. (2020). Archive photo documentation. Photogrammetry Department, Cartography Department, GIS Department.
Morgan, J. L., & Gergel, S. E. (2013). Automated analysis of aerial photographs and potential for historic forest mapping. Canadian Journal of Forest Research, 43(8), 699–710. https://doi.org/10.1139/cjfr-2012-0492
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