Global Urban Heat Island Intensity Dataset

<b>Global Urban Heat Island Intensity Dataset</b>A novel dynamic equal-area (DEA) method was proposed for UHII estimations. This method can minimize the influence of various confounding factors through a dynamic cyclic process and finally obtain the background reference area (BRA) with its size equal to the central urban area. Utilizing the DEA method and leveraging eight different temperature data sources, we developed a global-scale (&gt;10,000 cities), long-term (over 20 years by month), and multi-faceted (clear-sky surface, all-sky surface, and canopy) UHII dataset. Please refer to "Readme" for details.We also produced gridded UHII data with a spatial resolution of 1km. The data can be downloaded from Baidu Cloud Drive. Link: https://pan.baidu.com/s/1XcYsRKFuVINCrvCG3nj3Ng Code: 1234This gridded UHII data is now on the Earth Engine data catalog: https://gee-community-catalog.org/projects/uhii/In addition, all datasets have been uploaded to the Google Drive and can be downloaded from https://drive.google.com/drive/folders/1dKwW2ceg457iM2UHLJWmMcNhkx5OfBY9?usp=drive_link. More information about downloading and using the datasets can be found at https://github.com/samapriya/awesome-gee-community-datasets/issues/276.<br><br><br>We have updated the Global Urban Heat Island Intensity Dataset by using the ESACCI land cover data as the<b> </b>base map for urban area delineation. The <b>updated data</b> (version 2) can be available from https://figshare.com/articles/dataset/Global_Urban_Heat_Island_Intensity_Dataset_Version2_/30102847.<br><br><br>Citation: Qiquan Yang.Global Urban Heat Island Intensity Dataset. Figshare. https://doi.org/10.6084/m9.figshare.24821538, 2024.Reference: Qiquan Yang, Yi Xu, TC Chakraborty, et al. A global urban Heat Island intensity dataset: Generation, comparison, and analysis<i>. </i><i>Remote Sensing of Environment</i>, 2024, 312. https://doi.org/10.1016/j.rse.2024.114343.<br>

**全球城市热岛强度数据集（Global Urban Heat Island Intensity Dataset）**
本研究提出了一种用于城市热岛强度（Urban Heat Island Intensity, UHII）估算的新型动态等面积（dynamic equal-area, DEA）方法。该方法通过动态循环流程最大限度降低各类混杂因素的影响，最终得到尺寸与中心城区一致的背景参考区域（Background Reference Area, BRA）。本研究借助该DEA方法，并整合8种不同的温度数据源，构建了覆盖全球尺度（超10000座城市）、长期序列（20余年逐月数据）且多维度（晴空地表、全天空地表以及冠层）的UHII数据集。详细信息请参阅"Readme"文件。

本研究同时制作了空间分辨率为1km的网格化UHII数据，可通过百度网盘下载：链接：https://pan.baidu.com/s/1XcYsRKFuVINCrvCG3nj3Ng 提取码：1234。该网格化热岛强度数据已收录于地球引擎（Earth Engine）数据目录：https://gee-community-catalog.org/projects/uhii/。此外，全部数据集已上传至谷歌云端硬盘（Google Drive），可通过以下链接下载：https://drive.google.com/drive/folders/1dKwW2ceg457iM2UHLJWmMcNhkx5OfBY9?usp=drive_link。关于数据集下载与使用的更多说明，请参阅：https://github.com/samapriya/awesome-gee-community-datasets/issues/276。

本研究已更新全球城市热岛强度数据集，采用ESACCI土地覆盖数据作为城市区域划定的底图。更新后的数据（版本2）可通过以下链接获取：https://figshare.com/articles/dataset/Global_Urban_Heat_Island_Intensity_Dataset_Version2_/30102847。

引用格式：杨启权. 全球城市热岛强度数据集. Figshare. https://doi.org/10.6084/m9.figshare.24821538, 2024。
参考文献：杨启权、徐艺、TC Chakraborty 等. 全球城市热岛强度数据集：构建、对比与分析. *Remote Sensing of Environment*，2024，312卷. https://doi.org/10.1016/j.rse.2024.114343。