AI-generated Key Takeaways
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The FROM-GLC GAIA dataset provides annual change information of global impervious surface area at a 30m resolution from 1985 to 2018.
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It identifies the year of transition from pervious (e.g., non-urban) to impervious (e.g., urban) surfaces using a combined approach of supervised classification and temporal consistency checking.
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Pixel values represent the year of change, ranging from 34 (1985) to 1 (2018), allowing for the analysis of impervious surface expansion over time.
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The dataset is freely available for research, education, and non-profit use under a Creative Commons Attribution 4.0 International License.
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Users can access and analyze this dataset using the Google Earth Engine platform.
- Dataset Availability
- 1985-01-01T00:00:00Z–2018-12-31T00:00:00Z
- Dataset Provider
- Tsinghua University
- Tags
Description
This dataset contains annual change information of global impervious surface area from 1985 to 2018 at a 30m resolution. Change from pervious to impervious was determined using a combined approach of supervised classification and temporal consistency checking. Impervious pixels are defined as above 50% impervious. The year of the transition (from pervious to impervious) can be identified from the pixel value, ranging from 34 (year: 1985) to 1 (year: 2018). For example, the impervious surface in 1990 can be revealed as the pixel value greater than 29 (see the lookup table). This dataset is temporally consistent, following the conversion from pervious (e.g., non-urban) to impervious (e.g., urban) monotonically. For more information about the mapping approach and assessment, see Annual maps of global artificial impervious area (GAIA) between 1985 and 2018 (Gong et al. 2020).
Bands
Pixel Size
30 meters
Bands
| Name | Min | Max | Pixel Size | Description |
|---|---|---|---|---|
change_year_index |
1* | 34* | meters | Year of the transition from from pervious to impervious. From 34 (year: 1985) to 1 (year: 2018) |
change_year_index Class Table
| Value | Color | Description |
|---|---|---|
| 1 | #014352 | 2018 |
| 2 | #1a492c | 2017 |
| 3 | #071ec4 | 2016 |
| 4 | #b5ca36 | 2015 |
| 5 | #729eac | 2014 |
| 6 | #8ea5de | 2013 |
| 7 | #818991 | 2012 |
| 8 | #62a3c3 | 2011 |
| 9 | #ccf4fe | 2010 |
| 10 | #74f0b9 | 2009 |
| 11 | #32bc55 | 2008 |
| 12 | #c72144 | 2007 |
| 13 | #56613b | 2006 |
| 14 | #c14683 | 2005 |
| 15 | #c31c25 | 2004 |
| 16 | #5f6253 | 2003 |
| 17 | #11bf85 | 2002 |
| 18 | #a61b26 | 2001 |
| 19 | #99fbc5 | 2000 |
| 20 | #188aaa | 1999 |
| 21 | #c2d7f1 | 1998 |
| 22 | #b7d9d8 | 1997 |
| 23 | #856f96 | 1996 |
| 24 | #109c6b | 1995 |
| 25 | #2de3f4 | 1994 |
| 26 | #9a777d | 1993 |
| 27 | #151796 | 1992 |
| 28 | #c033d8 | 1991 |
| 29 | #510037 | 1990 |
| 30 | #640c21 | 1989 |
| 31 | #31a191 | 1988 |
| 32 | #223ab0 | 1987 |
| 33 | #b692ac | 1986 |
| 34 | #2de3f4 | 1985 |
Terms of Use
Terms of Use
This work is licensed under a Creative Commons Attribution 4.0 International License. https://creativecommons.org/licenses/by/4.0/
Citations
Gong, P., Li, X., Wang, J., Bai, Y., Chen, B., Hu, T., ... & Zhou, Y. (2020). Annual maps of global artificial impervious area (GAIA) between 1985 and 2018. Remote Sensing of Environment, 236, 111510.
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee.Image('Tsinghua/FROM-GLC/GAIA/v10'); var visualization = { bands: ['change_year_index'], min: 0, max: 34, palette: [ '014352', '1a492c', '071ec4', 'b5ca36', '729eac', '8ea5de', '818991', '62a3c3', 'ccf4fe', '74f0b9', '32bc55', 'c72144', '56613b', 'c14683', 'c31c25', '5f6253', '11bf85', 'a61b26', '99fbc5', '188aaa', 'c2d7f1', 'b7d9d8', '856f96', '109c6b', '2de3f4', '9a777d', '151796', 'c033d8', '510037', '640c21', '31a191', '223ab0', 'b692ac', '2de3f4', ] }; Map.setCenter(-37.62, 25.8, 2); Map.addLayer(dataset, visualization, 'Change year index');