Enhancing the Urban Atlas Features with the Water Balance Estimates Using the Landsat 8 Imagery

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Abstract

Between climate change and anthropogenic forcing, pressure on water resources is continually increasing all over the world. The growing population is gathering more and more in cities where the artificialization of soils and urban developments of all kinds are modifying the local water cycle. However, knowledge about the hydrological cycle in urban areas is not well developed today. Urbanization in a watershed can produce significant changes to the natural water cycle, mainly because permeable soils have been covered by less permeable surfaces. The consequences of this urbanization can be significant and multiple. The assessment of urban water resources aims to provide a suitable circumstances for planning, conditions for the planning, design, construction, operation, and maintenance of works used for irrigation and sanitation, among other applications. The methodology of the research is based on the data collection, which includes climatic data from June 2021 to June 2022 and the use of Digital elevation model to create a hydrographic network. The second part is land use data processing to create a land cover map using maximum Likelihood Supervised Classification, by combining different band composites of Landsat 8 images and NDVI to differentiate between vegetative and non-vegetative areas. However, CORINE Land Cover database was utilized to distinguish between continuous and discontinuous urban area in this classification. The final step in the process is to determine the hydrological coefficients by calculating the water cycle parameters (Evapotranspiration Runoff and Infiltration) for each land-use class. Furthermore, establishing a link between land use and hydrological behaviour and conducting a precise calculation of water balance-related coefficients in urban areas using Urban Atlas 2018.

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APA

Guizani, D., Buday-Bodi, E., Tamas, J., & Nagy, A. (2023). Enhancing the Urban Atlas Features with the Water Balance Estimates Using the Landsat 8 Imagery. In IOP Conference Series: Earth and Environmental Science (Vol. 1189). Institute of Physics. https://doi.org/10.1088/1755-1315/1189/1/012027

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