Global 30m impervious surface dynamic data set (GISD30)?
The Global 30 m Impervious Surface Dynamics Dataset (GISD30) provides a valuable resource for understanding the changing landscape of impervious surfaces worldwide from 1985 to 2020. This dataset has far-reaching scientific significance and practical applications in the fields of urban sustainable development, anthropogenic carbon emissions assessment, and global ecological environment modeling. GISD30 was carefully created through an innovative automated approach that takes full advantage of spectral generalization and automated sample extraction strategies. This dataset leverages time-series Landsat images on the Google Earth Engine cloud computing platform to provide comprehensive insights into the dynamics of impervious surfaces. Preface – Artificial Intelligence Tutorial
During the dataset creation process, global training samples and corresponding reflectance spectra are automatically exported, improving accuracy and reliability. A spatio-temporal adaptive classification model is employed that takes into account the dynamic nature of impervious surfaces in different eras and geographical regions. Furthermore, a spatiotemporal consistency correction method is introduced to enhance the reliability of impermeable surface dynamics. The GISD30 dynamic model demonstrated excellent accuracy, validated using a large dataset of 23,322 global time series samples, with an overall accuracy of 90.1% and a kappa coefficient of 0.865. This dataset provides important insights into the global doubling of impervious surface area over the past 35 years (1985 to 2020), with the most significant increase in Asia. The GISD30 dataset is freely accessible and is an important tool for monitoring urbanization at regional and global scales, providing valuable support for a variety of applications. Access the dataset here (Liu et al., 2021b). Preface – Artificial Intelligence Tutorial
Use the global dynamic data set to mark the extended information within a single band; specifically, the permeable surface and impervious surface before 1985 are marked as 0 and 1 respectively, 1985-1990, 1990-1995, 1995-2000, 2000 -Impervious surfaces that expanded during 2005, 2005-2010, 2010-2010, 2015, and 2015-2020 are labeled 2, 3, 4, 5, 6, 7, and 8.
| Year | Impermeable surface label |
|---|---|
| Before 1985 | 1 |
| 1985–1990 | 2 |
| 1990–1995 | 3 |
| 1995–2000 | 4 |
| 2000–2005 | 5 |
| 2005–2010 Year | 6 |
| 2010–2015 | 7 |
| 2015–2020 | 8 |
Citation?
Zhang, X., Liu, L., Zhao, T., Gao, Y., Chen, X., and Mi, J.: GISD30: global 30?m impervious-surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform, Earth Syst. Sci. Data, 14, 1831–1856, https://doi.org/10.5194/essd-14-1831-2022, 2022
Dataset citation?
Liangyun,Liu; Xiao,Zhang; Tingting,Zhao; Yuan,Gao; Xidong,Chen; Jun,Mi. (2021). GISD30: global 30-m impervious surface dynamic dataset from 1985 to 2020 using time-series Landsat imagery on the Google Earth Engine platform [Data set]. Zenodo. https://doi.org/10.5281/zenodo.5220816
Earth Engine Snippet?
var gisd30 = ee.Image("projects/sat-io/open-datasets/GISD30_1985_2020");
//zoom to an urban center
Map.setCenter(31.16387, 30.97292,8)
var gisd_vis = ["#808080", "#006400", "#228B22", "#32CD32", "#ADFF2F", "#FFFF00", "#FFA500", "#FF0000"];
var snazzy = require("users/aazuspan/snazzy:styles");
snazzy.addStyle("https://snazzymaps.com/style/132/light-gray", "Grayscale");
// Define a dictionary which will be used to make legend and visualize image on map
var dict = {
"names": [
"Before 1985",
"1985-1990",
"1990-1995",
"1995-2000",
"2000-2005",
"2005-2010",
"2010-2015",
"2015-2020",
],
"colors": [
"#808080",
"#006400",
"#228B22",
"#32CD32",
"#ADFF2F",
"#FFFF00",
"#FFA500",
"#FF0000"]};
// Create a panel to hold the legend widget
// Create a panel to hold the legend widget
// Create a panel to hold the legend widget
var legend = ui.Panel({
style: {
position: 'bottom-left',
padding: '8px 15px'
}
});
// Function to generate the legend
function addCategoricalLegend(panel, dict, title) {
// Create and add the legend title.
var legendTitle = ui.Label({
value: title,
style: {
fontWeight: 'bold',
fontSize: '18px',
margin: '0 0 4px 0',
padding: '0'
}
});
panel.add(legendTitle);
var loading = ui.Label('Loading legend...', {margin: '2px 0 4px 0'});
panel.add(loading);
// Creates and styles 1 row of the legend.
var makeRow = function(color, name) {
// Create the label that is actually the colored box.
var colorBox = ui.Label({
style: {
backgroundColor: color,
// Use padding to give the box height and width.
padding: '8px',
margin: '0 0 4px 0'
}
});
// Create the label filled with the description text.
var description = ui.Label({
value: name,
style: {margin: '0 0 4px 6px'}
});
return ui.Panel({
widgets: [colorBox, description],
layout: ui.Panel.Layout.Flow('horizontal')
});
};
// Get the list of palette colors and class names from the image.
var palette = dict['colors'];
var names = dict['names'];
loading.style().set('shown', false);
for (var i = 0; i < names.length; i + + ) {
panel.add(makeRow(palette[i], names[i]));
}
Map.add(panel);
}
addCategoricalLegend(legend, dict, 'Impervious Surface (Years)');
Map.addLayer(gisd30, {min:1,max:8,palette:gisd_vis}, 'Impervious Surface (Years)');
Example code: https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:/global-landuse-landcover/GLOBAL-IMPERVIOUS-30-GISD
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 commercial ones. You must give appropriate credit, provide a link to the license, and indicate if changes were made.
Creators: Zhang X., Liu L., Zhao T., Gao Y., Chen X., Mi J.
GEE Curator: Samapriya Roy
Keywords: Landsat, cities, Google Earth Engine, impervious areas, urban expansion, global datasets
GEE last updated: 2023-09-12