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（Global Urban Heat Island Intensity）数据集**
本研究提出了一种新颖的动态等面积（dynamic equal-area, DEA）方法，用于城市热岛强度（Urban Heat Island Intensity, UHII）估算。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，最终得到与中心城区面积完全匹配的背景参考区（background reference area, BRA）。研究团队基于该DEA方法，结合八种不同的温度数据源，构建了覆盖全球尺度（包含超10000座城市）、长时序（20余年，按月度更新）、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"文档。

此外，本研究还生成了空间分辨率为1km的网格化UHII数据，该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UHII数据现已收录于地球引擎（Earth Engine）数据目录：https://gee-community-catalog.org/projects/uhii/。同时，所有数据集已上传至谷歌云盘（Google Drive），可通过https://drive.google.com/drive/folders/1dKwW2ceg457iM2UHLJWmMcNhkx5OfBY9?usp=drive_link 下载。关于数据集下载与使用的更多细节，可访问https://github.com/samapriya/awesome-gee-community-datasets/issues/276。

本团队已对全球城市热岛强度数据集进行更新，本次更新采用ESACCI土地覆盖数据作为城市范围划定的底图。更新后的数据（版本2）可通过https://figshare.com/articles/dataset/Global_Urban_Heat_Island_Intensity_Dataset_Version2_/30102847 获取。

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. 《环境遥感（Remote Sensing of Environment）》, 2024, 312. https://doi.org/10.1016/j.rse.2024.114343.

搜集汇总

背景与挑战

背景概述

该数据集是一个全球范围、长期、多方面的城市热岛强度数据集，覆盖超过10,000个城市，时间跨度超过20年，并提供了1公里空间分辨率的网格化数据。数据集采用了创新的动态等面积方法，确保数据准确性和可比性。