| SEASONS IN STUTTGART: DEVELOPING A GOOGLE EARTH ENGINE TOOL FOR HEAT ISLAND MAPPING |
| Paper ID : 1409-SMPR |
| Authors: |
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Johan Sebastian Ojeda Ramirez, Raquel Magdiel Zafrir Vallejo, Harpreet Singh, Michael Hahn * Stuttgart University of Applied Sciences |
| Abstract: |
| This project generates a mapping process in GEE (Google Earth Engine) for SUHI (Surface Urban Heat islands) derived from TIRS (Thermal Infrared Sensor) and OLI (Operational Land Imager) sensors of Landsat 8 imagery in the area of Stuttgart, Germany. Comparing the resulting images of temperature in Winter and Summer seasons, through a polynomial regression model, a relation between the Surface Cover (SC), the Terrain Shape (DEM) and the LST (Land Surface Temperature) can be established. A Python code is used for processing the data and displaying the results linked to GEE. The results indicate that Surface Cover as urban and Meadow which are open areas without vegetation get the bigger values of temperature and the Terrain Shape is an indicator of the bigger the height, the lower the temperature in most of the cases. This project gives a better understanding in handling and developing applications using a web-based platform and provides a fast and accurate result for identifying the SUHI effect due to the accelerated process of urbanization. As a result, it can infer the necessity to include more vegetation areas in order to reduce the mean value of temperature, even more in Stuttgart with low values in height and highly urbanized. |
| Keywords: |
| Remote Sensing, Land Surface Temperature, Landsat, Urban Heat Island, Google Earth Engine, Python |
| Status : Conditional Accept (Poster) |
