Occupations in unstructured areas subject to flooding and landslides in Brazilian cities have little vegetation, soil sealing, and concentration of air and noise pollution, impacting human health and well-being. Urban density combined with paved soil in high areas of the city can cause the phenomenon of a heat island in extreme weather events, such as rainwater flooding the lower regions of the city. There is important identify areas that need to be rebuilt to mitigate urban heat and vulnerability. This work presents a methodology for monitoring meteorological data for constructing urban heat maps in Suzano, Brazil, assisting in developing urban risk mitigation strategies. The urban parameters considered in these analyses were land uses and occupation, urban configurations (height and width of buildings), vegetation, topography, and wetlands. Methods: a) survey of urban parameters in four different areas; b) collection of environmental data during three seasons. There were used the fixed station to collect data on air temperature and humidity for 20 days in 4 areas of cities and a mobile station to collect data on air temperature and globe temperatures, humidity, wind, and surface temperatures for 1 hour in the morning an 1 hour in the afternoon for each season); c) data analysis: correlation between mapping climate data and urban parameters; d) development of urban guidelines for mitigating urban heat. In the central area, it was observed that air temperatures were around 3o C higher than in other areas. It is influenced by materials used on façades and pavements and the lack of urban trees or pocket parks. In areas close to green areas, the humidity was 5% higher than in other areas. Actions to increase permeable and green areas on sidewalks, such as the implementation of rain gardens and incentives to reduce car circulation, are actions considered. Urban heat maps help architects, urban planners, engineers, and professionals interested in improving the environment and bringing sustainability to cities.
