全球不透水表面积（1972-2019）数据集

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全球不透水表面积（1972-2019）
该研究利用300多万张Landsat卫星图像，建立了第一个1972年至2019年的全球不透水面积（GISA）数据集。基于全世界270个城市的120,777个独立和随机的参考点，GISA的遗漏误差、委托误差和F分数分别为5.16%、0.82%和0.954。与现有的全球数据集相比，GISA的优点包括。(1）它提供了1985年以前的全球ISA地图，显示了最长的时间跨度（1972-2019年）和最高的精度（从大量的随机选择和第三方验证样本集来看）；（2）它提出了一种新的全球ISA制图方法，包括半自动的全球样本收集、局部自适应分类策略和时空后处理程序；（3）它从整个全球陆地区域（不是从城市掩码）提取ISA，因此降低了低估。GISA可以帮助人们进一步了解过去半个世纪人类对自然的利用和改造。

每张地图中的像素值表示检测到ISA的第一年。检测到的年份和像素值的查询表如下。

第一个ISA的年份：[1972, 1978, 1985, 1986, 1987, 1988, 1989, 1990, 1991, 1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003, 2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019]

像素值[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37] 。

数据下载 download the dataset here

You can read about the methodology in the paper heyin

文章和数据引用： 

Huang, X., Li, J., Yang, J. et al. 30 m global impervious surface area dynamics
and urban expansion pattern observed by Landsat satellites: From 1972 to 2019.
Sci. China Earth Sci. (2021). https://doi.org/10.1007/s11430-020-9797-9

Xin Huang, Jiayi Li, Jie Yang, Zhen Zhang, Dongrui Li, & Xiaoping Liu. (2021).
30 m global impervious surface area dynamics and urban expansion pattern observed
by Landsat satellites: from 1972 to 2019 (Version 1.0.0)
[Data set]. http://doi.org/10.1007/s11430-020-9797-9

代码：

var gisa = ee.ImageCollection("projects/sat-io/open-datasets/GISA_1972_2019");

// Load packages for basemap
var style = require('users/gena/packages:style')

Map.addLayer(gisa.mosaic(),{},'GISA 1972-2019')

style.SetMapStyleGrey()

代码链接：https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:global-landuse-landcover/GLOBAL-IMPERVIOUS-SURFACE-AREA

License¶

This work is licensed under a Creative Commons Attribution 4.0 International License. You are free to copy and redistribute the material in any medium or format, and to transform and build upon the material for any purpose, even commercially. You must give appropriate credit, provide a link to the license, and indicate if changes were made.

Created by : Xin Huang, Jiayi Li, Jie Yang, Zhen Zhang, Dongrui Li, & Xiaoping Liu

Curated in GEE by: Samapriya Roy

Keywords: Landsat, Urban, Google Earth Engine, Impervious area, Urban expansion

Last updated : 2021-08-01