Data underlying the publication: Spatial pattern recognition of local high temperature increases in mountain areas based on MODIS land surface temperature images

Finding out local high temperature increase (HTI) is significant for exploiting and conserving mountain climatic resources. We proposes an image pattern recognition method to identify the HTI zones by GIS and RS technologies, and used the method to produce HTI fileds, HTI strips and other auxiliary data of Yunnan Province, China. The research paper described the method and these data will be submit to the our objective SCI magazine. Therefore, this dataset contains all available data of our submission manuscript.

探明局地高温增幅（High Temperature Increase, HTI）对于山地气候资源的开发与保护具有重要意义。本研究提出一种依托地理信息系统（Geographic Information System, GIS）与遥感（Remote Sensing, RS）技术的图像模式识别方法，用于识别HTI区域，并利用该方法生成了中国云南省的HTI场、HTI带及其他辅助数据。阐述该方法的研究论文及上述数据将提交至目标SCI期刊，因此本数据集包含本次投稿稿件中的所有可用相关数据。