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URSUS_UHI: URban SUStainability software for detection of unfavourable areas due to the Urban Heat Island effect Rodríguez-Gómez, Francisco Del-Campo-Ávila, José López-Rodríguez, Domingo Pérez-Urrestarazu, Luis Temperatura atmosférica Cambio climático Software Remote sensing Disadvantaged area index (DAI) Spatial data mining Intelligent decision support system Identifying the most unfavourable areas of cities, in terms of high temperatures and lack of vegetation, can help to improve urban sustainability and combat climate change. URSUS_UHI is a software that could help make decisions on which areas need priority attention in terms of adding green infrastructure to reduce temperatures. It develops a spatial data mining processes that incorporates expert knowledge to automatically detect the most disadvantaged areas in terms of higher temperatures and lack of vegetation. In this way, users such as urban planners or landscape engineers can identify the most suitable areas in which to act. Funding for open access charge: Universidad de Málaga/CBUA 2024-12-10T11:25:23Z 2024-12-10T11:25:23Z 2024 2025 journal article VoR Francisco Rodríguez-Gómez, José del Campo-Ávila, Domingo López-Rodríguez, Luis Pérez-Urrestarazu, URSUS_UHI: URban SUStainability software for detection of unfavourable areas due to the Urban Heat Island effect, SoftwareX, Volume 29, 2025, 101997, ISSN 2352-7110, https://doi.org/10.1016/j.softx.2024.101997. https://hdl.handle.net/10630/35559 10.1016/j.softx.2024.101997 spa Attribution-NonCommercial-NoDerivatives 4.0 Internacional http://creativecommons.org/licenses/by-nc-nd/4.0/ open access application/pdf Elsevier