全球30米不透水面产品（MSMT_IS30）2015年
下载链接：https://zenodo.org/record/3505079#.YV2oWZpBxnI
http://www.geodata.cn/data/datadetails.html?dataguid=214900664506554&docid=1
论文链接：https://essd.copernicus.org/articles/12/1625/2020/essd-12-1625-2020.html
全球30米不透水面数据产品（2015年），该产品由中国科学院空天信息创新研究院刘良云研究员团队生产。
人工不透水面地表因光谱和空间结构异常复杂，高精度的全球不透水面提取存在极大挑战。传统方法仅依赖于光学数据或雷达数据的制图策略往往很难将不透水面地表和裸地完全区分开来，从而导致了不透水面地类存在较为严重的误分现象。该团队提出了基于多源多时相遥感数据的不透水面提取算法和基于GEE平台的全球不透水面产品生产框架。首先，利用GlobeLand30地表覆盖产品、VIIRS夜间灯光数据和MODIS EVI植被指数产品，自动提取了全球高置信度的人工不透水面分类的训练样本。其次，利用多时相Landsat-8 OLI反射率特征、Sentinel-1 SAR结构特征和SRTM/ASTER DEM地形特征，采用随机森林分类模型，以5°网格进行了逐区块地自适应随机森林建模。最后，利用GEE云平台的数据、存储和计算资源以及随机森林分类模型，逐区块地生产了不透水面产品，并经过地理拼接生产了2015年全球30米不透水面产品 MSMT_IS30-2015。
The GlobeLand30 data were also used to automatically derive the global impervious and nonimpervious training samples.
做全球的不透水面可以选择不同大陆的一些典型城市来展示，以及不同大陆上的网格区域来进行一些操作，比如变量重要性度量
全球30米分辨率(1985-2015)城市用地动态扩张数据集 NUACI
下载链接
论文链接
The NUACI-based maps, developed using the spectral index-based method applied to Landsat and DMSP OLS NTL imagery, are multitemporal global 30 m impervious surface datasets (Liu et al., 2018). This map has been validated as having an overall accuracy of 0.81–0.84 and kappa coefficient of 0.43–0.50 at the global level (Liu et al., 2018).
这套数据感觉精度有点低
FROM_GLC数据（GAIA）
下载链接
论文链接
FROM-GLC, first produced in 2010, was the first 30 m resolution global land-cover dataset and was produced by the supervised classification of 8900 Landsat images (Gong et al., 2013). The second generation of FROM-GLC from 2015 (FROM-GLC-2015; http://data.ess.tsinghua.edu.cn/, last access: 8 July 2020) was produced by using multiseasonal Landsat imagery acquired between 2013 and 2015 and incorporates the day of year, geographical coordinates and elevation data (Li et al., 2017).
GHSL数据（全球人居图层）
The GHSL, a global information baseline describing the spatial evolution of human settlements in the past 40 years, was developed by using a symbolic machine learning model trained by the collected high-resolution samples, multitemporal Landsat imagery in the epochs 1975, 1990, 2000 and 2015 (Florczyk et al., 2019). The GHSL impervious surface map at 30 m for 2015 (GHSL-2015; https://ghsl.jrc.ec.europa.eu/download.php, last access: 8 July 2020) achieved an overall accuracy of 96.28 % and kappa coefficient of 0.3233 validated using Land Use/Cover Area frame Survey reference data (Pesaresi et al., 2016).
GlobeLand30
GlobeLand30 is an operational 30 m global land-cover dataset produced using the pixel–object–knowledge-based method (POK-based) approach in 2000 and 2010 (Chen et al., 2015). In this study, the global impervious product derived from GlobeLand30 in 2010 (GlobeLand30-2010; http://www.globallandcover.com/GLC30Download/index.aspx, last access: 8 July 2020) was produced by combining pixel-based classification, multiscale segmentation and manual editing based on the high-resolution imagery and had been validated as having a user's accuracy of 86.7 %.
HBASE-2010
下载链接
The HBASE dataset was the first global 30 m dataset of artificial impervious cover derived from the Global Land Survey (GLS) Landsat data for 2010. It was produced by combining meter-resolution training data (exceeding 20 million), OpenStreetMap, VIIRS NTL, GLS Landsat SR and MODIS normalized difference vegetation index (NDVI) products and achieved a kappa coefficient of 0.91 using scene-level cross validation in Europe (Wang et al., 2017a, b).
论文：
Wang, P., C. Huang, E. C. Brown de Colstoun, J. C. Tilton, and B. Tan. 2017. Global Human Built-up And Settlement Extent (HBASE) Dataset From Landsat. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC).