The urban heat island is one of the most investigated environmental problems at the local climate scale. It is a thermal anomaly resulting from the difference in temperature between urban areas and the surrounding rural areas that add heat to the atmosphere and lead to thermal discomfort for part of the population. This study aims to identify and analyze the urban heat island in the city of Três Lagoas, in the state of Mato Grosso do Sul, Brazil, and represent it by multicriterial modeling considering air temperature and surface characteristics as parameters. For this purpose, air temperature was recorded using mobile transects and images from the Landsat 8 satellite for an unsupervised automatic classification of the visible and near infrared bands, in addition to NDVI, which was grouped into classes. Statistical relations were determined between the intensity of the urban heat island in places where temperatures were recorded and urban parameters, such as vegetation, buildings, and exposed soil. The resulting model for a winter event identifies a heat island of strong magnitude associated with densely built areas and exposed soil. We verified through descriptive statistics that the generated model approached the reality with a 95% confidence.

在当地气候规模上，城市热岛是研究最多的环境问题之一。这是由于城市地区与周围农村地区之间的温度差异导致的热异常，使气温升高并给部分人口造成热不适。这项研究旨在识别和分析巴西南马托格罗索州的特雷斯拉各斯市的城市热岛，并通过以气温和地表特征为参数的多尺度模拟来表示。为此，除了NDVI外，还使用Landsat 8卫星的移动样线和图像记录了气温，以便对可见和近红外波段进行无监督自动分类。确定了记录温度的城市热岛强度与城市参数（例如植被，建筑物和裸露的土壤）之间的统计关系。冬季事件的最终模型确定了与密集建筑区域和裸露土壤相关的强热岛。我们通过描述性统计数据验证了生成的模型以95％的置信度逼近现实。