LST: Campus USP Butantã
Description
This dataset is part of a PhD research entitled "Urban heating, lack of green and lack of space: proposals for urban redesign to adapt to climate change at the microscale in the city of São Paulo". **General Details This dataset includes four items. Three of them are PNG images showing different maps of Land Surface Temperature (LST) for the University of São Paulo, Campus Butantã area – one map for all the seasons, and two representing the hottest ones. Regarding LST, the values were processed from scenes of Landsat 8 and 9 TIRS (path 219 row 76) in different periods of time. All the Landsat scenes were acquired from Collection 2, Level 1, Tier 1 (C2L1T1), do not present cloud coverage over the urban area, have a spatial resolution of 30m, and the Landsat time of passage over the city of São Paulo is ~10:00a.m. Also, all the LST maps represent an average value for a specific time period in each pixel. The LST calculation was based on Emmanuel et al. (2023), and the steps are listed below: 1. Converting the Digital Numbers of each pixel of Band10 into Radiance Values 2. Calculating the brightness temperature 3. Calculating NDVI 4. Calculating the Proportion of Vegetation 5. Calculating Land Surface Emissivity 6. Calculating LST converted to Celsius degrees Finally, the fourth item is the shapefile used for spatializing the Campus’ boundaries. More details and specificities on the four files can be seen below. Everything was processed in QGIS LTR 3.28.11, using the projection: EPSG 31983 – SIRGAS 2000/ UTM zone 23S. * PNG_01 – The general average A LST map produced from 41 Landsat 8 and 9 TIRS scenes (35 from L8 and 6 from L9), obtained from Apr/2013 to Dec/2023. *PNG_02 – The average for the spring season A LST map produced from using 7 Landsat 8 and 9 TIRS scenes (6 from L8 and 1 from L9), obtained from Sep/2015 to Dec/2023. *PNG_03 – The average for the summer season A LST map produced from using 8 Landsat 8 and 9 TIRS scenes (7 from L8 and 1 from L9), obtained from Feb/2014 to Mar/2023. *Campus’ boundaries shapefile A shapefile obtained from the open and public source GEOSAMPA was used for extracting the campus boundaries (https://geosampa.prefeitura.sp.gov.br/PaginasPublicas/_SBC.aspx#) References Emmanuel, R., Jalal, M., Ogunfuyi, S., Maharoof, N., Zala, M., Perera, N., & Ratnayake, R. (2023). Urban Heat Risk: Protocols for Mapping and Implications for Colombo, Sri Lanka. Atmosphere, 14(2). https://doi.org/10.3390/atmos14020343 Acknowledgements: This work was supported by the São Paulo Research Foundation (FAPESP) - grants #2021/04751-7, #2023/03279-8, #2022/08401-3, #2021/11762-5 and #2020/06694-8, by the National Council for Scientific and Technological Development, CNPq - grant #312592/2021-3, and by Coordination for the Improvement of Higher Education Personnel (CAPES) - grant #88881.688962/2022-01.
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Funding
Fundação de Amparo à Pesquisa do Estado de São Paulo