MAPPING OF THE ENVIRONMENT USING MULTISPECTRAL SATELLITE IMAGERY
Abstract
Continuous environmental mapping has never been more necessary because of the fast-paced lifestyle, technology development, climate change. Monitoring changes in the environment has become one of the most important tasks todayto understand those changes and take the necessary measures to coordinate sustainable development with the emerging natural and socio-economic events. Remote sensing combined with cartography gives us the opportunity to obtain current information on the state of the environment and react suitablyin order to reduce damage to a minimum in accordance with sustainable development.
References
Campbell, B. A. 1996. Introduction to Remote Sensing. In Introduction to Space Sciences and Spacecraft Applications. London: Taylor and Francis.
Đorđević, T., Potić, I. & Milanović, M. 2019. Quantification of the Impact of High-rise Buildings on Generating Heat Islands in the Area of the Realisation of the Special Purpose Plan "Belgrade Waterfront" in Belgrade. In Mihajlović, M. (Eds.), Conference proceedings International scientific conference Environmental impact of illegal construction, poor planning and design IMPEDE 2019, 10 – 11 October 2019, Belgrade, Serbia (378-387). Association of Chemists and Chemical Engineers of Serbia (UHTS), Belgrade.
Goyal, M. K., Singh, V. & Meena, A. H. 2015. Geospatial and hydrological modeling to assess hydropower potential zones and site location over rainfall dependent Inland catchment. Water Resour. Manage. 29: 2875.
Ivanović, R., Valjarević, A., Vukoičić, D., & Radovanović, D. 2016. Climatic regions of Kosovo and Metohija. The University Thought-Publication in Natural Sciences, 6(1), pp 49-54. doi:10.5937/univtho6-10409
Landsat 8 (L8) Data Users Handbook, Version 5.0 (2019). Department of the Interior, U.S. Geological Survey, EROS, Sioux Falls, South Dakota.
Liu, X. (-) Supervised classification and Unsupervised classification. Harvard: Smithsonian Center for Astrophysics. ATS 670 Class Project; Available: https://www.cfa.harvard.edu/~xliu/presentations/SRS1_project_report.PDF.
Milanović, M., & Lješević, M. 2009. Teledetekcione metode istraživanja životne sredine. Beograd: Geografski fakultet.
Mulahusić, A. 2007. Kreiranje tematskih karti na osnovu satelitskih snimaka korištenjem Maximum likelihood klasifikacije. Sarajevo: Geodetski glasnik. br. 39.
Potić, I. 2018. Geosistemska analiza višestrukih stresova životne sredine u valorizacijima lihhidro elektrana Srbije. Doctoral dissertation, University of Belgrade, Faculty of Geography.
Potić, I., & Potić, M. 2017. Remote sensing machine learning algorithms in environmental stress detection: Case study of Pan-European south section of Corridor 10 in Serbia. The University Thought-Publication in Natural Sciences, 7(2), pp. 41-46. doi:10.5937/univtho7-14957
Potić, I., Ćurčić, N., Potić, M., Radovanović, M. & Tretiakova, T. 2017. Remote sensing role in environmental stress analysis: Eаst Serbia wildfires case study (2007–2017). Journal of the Geographical Institute “Jovan Cvijić” SASA, 67(3), pp. 249–264.
Potić, I., Golić, R. & Joksimović, T. (2016). Analysis of insolation potential of Knjaževac Municipality (Serbia) using multi-criteria approach. Renewable and Sustainable Energy Reviews, 56, pp. 235-245. doi.org/10.1016/j.rser.2015.11.056
Potić I, Joksimović M & Golić, R. 2015. Changes in vegetation cover on Staraplanina: towards sustainable management of ski resorts in sensitive areas. Bull Serb Geogr Soc 95(2), pp.25-40.
Reddy, A. 2008. Textbook of Remote Sensing and Geographical Information Systems. Hyderbad: BS Publications. Third Edition.
Richards, J. A. 1993. Remote sensing digital image analysis: An introduction. Springer-Verlag. second edition.
Stanković, S. 2001. Putevima Jugoslavije. Beograd: Zavod za udžbenike i nastavna sredstva.
Strategic Plan for Social Policy of the City of Bor for the Period 2019-2023 2018. Available: http://bor.rs/wp-content/uploads/2019/04/Strateški-plan-za-socijalnu-politiku-grada-Bora-za-period-2019-2023.pdf.
Valjarević, A., Djekić, T., Stevanović, V., Ivanović, R. & Jandziković, B. 2018. GIS numerical and remote sensing analyses of forest changes in the Toplica region for the period of 1953–2013. Applied geography, 92, pp. 131-139.
Valjarević, A. 2016. GIS modelling of solar potential in Toplica region. The University Thought-Publication in Natural Sciences, 6(1), pp. 44-48.doi:10.5937/univtho6-10739
Bing maps 2013. [Bing aerial]. Retrieved in 2013, from URL: [https://www.bing.com/maps?osid=674cd93c-5ad8-4557-a37e4ae51c5a801e&cp=44.073285~22.097064&lvl=16&v=2&sV=2&form=S00027]
Google 2013. [Google satellite]. Retrieved in 2013, from URL: [https://www.google.com/maps/@44.0693725,22.0919778,1816m/data=!3m1!1e3]
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