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IDENTIFICATION OF URBAN LANDSCAPE UNITS BASED ON SENTINEL-2A SATELLITE IMAGERY AND ILLEGAL LANDFILLS: CASE STUDY FROM VELINGRAD CITY (BULGARIA)
Abstract
The variety of urban landscapes, especially of urban green spaces provide a wide range of human well-being opportunities, physical recreation, sport activities, and urban heat mitigation. Therefore, there are many studies applying remote sensing and GIS methods, which were related to the sustainable city development focused on the -green network-, -green spaces- and land use. Conversely, illegal landfills in and around settlements and rivers have a negative anthropogenic impact on the environment. Therefore, their study is crucial for sustainable planning and landscaping. In this work, the study on urban landscape units and illegal landfills in the Velingrad City, Bulgaria is presented. The following main urban landscape units (ULU) were identified using remote sensing and GIS techniques for calculation of several vegetation and built-up indices from Sentinel 2A satellite imagery (Date: 2023-02-14) and Mean Shift segmentation: 1. Green areas; 2. Residential area/ Impervious surface; 3. Industrial area; 4. Stadium; 5. Broad-leaved forest; 7. Coniferous forest; 7. Mixed forest; 8. Grass/ Pasture/ Shrub; 9. Arable land; 10. Complex cultivation patterns/ significant areas of natural vegetation; 11. Water body/ River Bank Trees; 12. Lake, and 13. Bare Earth/ Paths. The illegal dumps have been investigated in the summer of 2023. The results show that the main types of unregulated landfills in the city of Velingrad are household, construction/ industrial and plastic waste. They are distributed in the river and the riverside, near construction areas, hotels and restaurants, as well as in Lake Kleptuza, and most of them can be cleaned, re-cultivated and landscaped. The methodological approach and obtained results in this work will be further used to elaborate models of anthropogenic impact at river basin scale.
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References18
Conine, A., Xiang, W.-N., Young, J., Whitley, D., Planning for Multi-PurposeGreenways in Concord, North Carolina. Landscape and Urban Planning, vol. 68, pp.271-287, 2004. DOI: 10.1016/s0169-2046(03)00159-2
Keith, S. J., Larson, L. R., Shafer, C. S., Hallo, J. C., Fernandez M., Greenway useand preferences in diverse urban communities: Implications for trail design andmanagement, Landscape and Urban Planning, vol. 172, pp 47-59, 2018, ISSN 0169-2046, DOI: 10.1016/j.landurbplan.2017.12.007.
Beatley, T. (Ed.) Green Cities of Europe, Global Lessons on Green Urbanism. IslandPress Washington, DC, USA, pp 234, 2012, p. 234, DOI: 10.5822/978-1-61091-175-7.
Kopecka, M., Szatmari, D., Rosina, K., Analysis of Urban Green Spaces Based onSentinel-2A: Case Studies from Slovakia, Land, vol. 6 (2), 25, pp 1-17, 2017,DOI: 10.3390/land6020025.
Aryal, J., Sitaula, C., Aryal, S., NDVI Threshold-Based Urban Green SpaceMapping from Sentinel-2A at the Local Governmental Area (LGA) Level of Victoria,Australia, Land, vol. 11(3), 351, pp 1-21, 2022. DOI: 10.3390/land11030351
Stoycheva, V., Geneletti, D. A review of regulating ecosystem services in thecontext of urban planning, Journal of the Bulgarian Geographical Society, vol. 48, pp27�42, 2023. DOI: 10.3897/jbgs.e93499
Mukim, M., Roberts, M. (Eds.), Making Cities Green, Resilient, and Inclusive in aChanging Climate. Thriving, International Bank for Reconstruction and Development,The World Bank, USA, 326 pp, 2023, ISBN (paper): 978-1-4648-1935-3, ISBN(electronic): 978-1-4648-1936-0, DOI: 10.1596/978-1-4648-1935-3.
Da Silva, V.S., Salami, G., Da Silva, M.I.O., Silva, E.A., Monteiro Junior, J.J., Alba,E. Methodological evaluation of vegetation indexes in land use and land cover (LULC)classification. Geology, Ecology, and Landscapes, 4 (2), pp 159-169, 2020. DOI: 10.1080/24749508.2019.1608409
. Osgouei, P.E., Kaya, S., Sertel, E., Alganci, U. Separating Built-Up Areas fromBare Land in Mediterranean Cities Using Sentinel-2A Imagery. Remote Sensing, 2019,11, 345, pp 1-24, DOI: 10.3390/rs11030345.
Kaza, �., Yao, L., Bhada-Tata, P., Van Woerden, F. (Eds.), What a Waste 2.0 AGlobal Snapshot of Solid Waste Management to 2050, International Bank forReconstruction and Development, The World Bank, USA, 2018, 271 pp, ISBN (paper):978-1-4648-1329-0, ISBN (electronic): 978-1-4648-1347-4,DOI: 10.1596/978-1-4648-1329-0
Shahab, S.; Anjum, M. Solid Waste Management Scenario in Indiaand IllegalDump Detection Using Deep Learning: An AI Approach towards the Sustainable WasteManagement. Sustainability, 2022, 14, 15896. DOI: 10.3390/su142315896.
Sakti, A. D., Sembiring, E., Rohayani, P., Fauzan, K., Septi Anggraini, T., Santoso,C., Patricia, V., Ihsan, K., Ramadan, A., Arjasakusuma, S., Candra, D. Identification ofillegally dumped plastic waste in a highly polluted river in Indonesia using Sentinel-2satellite imagery. Scientific Reports, 13, 5039, 2023. DOI: 10.1038/s41598-023-32087-5.
Papale, L.G., Guerrisi, G., De Santis, D., Schiavon, G., Del Frate, F. Satellite DataPotentialities in Solid Waste Landfill Monitoring: Review and Case Studies. Sensors,23, 3917, 2023. DOI: 10.3390/s23083917.
Dabovski, H., Zagorchev, I. Alpine tectonic subdivision of Bulgaria. In Zagorchev,I., H. Dabovski, T. Nikolov. (Eds), Geology of Bulgaria. Part II, Mesozoic Geology.Bulgaria, 2009, pp 30-37. (in Bulgarian, with English abstract);
Integrated Development Plan �f Velingrad Municipality 2021-2027. 2021, 204 pp.(Accessed: 18th July 2023:https://www.strategy.bg/StrategicDocuments/View.aspx?lang=bg-BG&Id=1389 (inBulgarian).
Velev, St. Climatic zoning. In: Kopralev, I., M. Yordanova, Ch. Mladenov (eds.)Geography of Bulgaria. Physical geography and Socio-economic geography. Sofia:Publishing House ForCom, 2002, pp 155-166. (in Bulgarian, with English abstract);
He, C., Shi, P., Xie, D., Zhao, Y. Improving the normalized difference built-upindex to map urban built-up areas using a semiautomatic segmentation approach.Remote Sensing Letters, 1, 2010, pp 213-221.DOI: 10.1080/01431161.2010.481681.
Kaimaris, D., Patias, P. Identification and Area Measurement of the Built-Up Areawith the Built-Up Index (BUI). Int. J. Adv. Remote Sens. GIS, 5, pp 1844�1858, 2016. DOI: 10.23953/cloud.ijarsg.64
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