이 데이터 세트에는 1985년부터 2018년까지 30m 해상도의 전 세계 불투수면적의 연간 변화 정보가 포함되어 있습니다. 투과성에서 불투과성으로의 변화는 감독 분류와 시간적 일관성 검사의 결합된 접근 방식을 사용하여 결정되었습니다. 불투과성 픽셀은 불투과성이 50% 이상인 것으로 정의됩니다. 이전에서 불투과성으로의 전환 연도는 34(연도: 1985)에서 1(연도: 2018)에 이르는 픽셀 값으로 식별할 수 있습니다. 예를 들어 1990년의 불투수성 표면은 픽셀 값이 29보다 큰 것으로 표시될 수 있습니다(조회 표 참고). 이 데이터 세트는 이전 (예: 비도시)에서 불투과성 (예: 도시)으로 단조롭게 변환된 후 시간적으로 일관됩니다. 매핑 접근 방식 및 평가에 관한 자세한 내용은 1985년과 2018년 사이의 전 세계 인공 불투수 지역 연간 지도(Gong et al. 2020)를 참고하세요.
Gong, P., Li, X., Wang, J., 바이, Y., Chen, B., Hu, T., ... & Zhou, Y. (2020).
1985~2018년 전 세계 인공 불투수 지역 (GAIA)의 연간 지도
Remote Sensing of Environment, 236, 111510.
이 데이터 세트에는 1985년부터 2018년까지 30m 해상도의 전 세계 불투수면적의 연간 변화 정보가 포함되어 있습니다. 이전에서 불투과성으로의 변경은 감독 분류와 시간적 일관성 검사의 결합된 접근 방식을 사용하여 결정되었습니다. 불투수성 픽셀은 불투수성이 50% 이상인 것으로 정의됩니다. 전환 연도 …
[null,null,[],[[["\u003cp\u003eThe FROM-GLC GAIA dataset provides annual change information of global impervious surface area at a 30m resolution from 1985 to 2018.\u003c/p\u003e\n"],["\u003cp\u003eIt 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.\u003c/p\u003e\n"],["\u003cp\u003ePixel values represent the year of change, ranging from 34 (1985) to 1 (2018), allowing for the analysis of impervious surface expansion over time.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is freely available for research, education, and non-profit use under a Creative Commons Attribution 4.0 International License.\u003c/p\u003e\n"],["\u003cp\u003eUsers can access and analyze this dataset using the Google Earth Engine platform.\u003c/p\u003e\n"]]],[],null,["# Tsinghua FROM-GLC Year of Change to Impervious Surface\n\nDataset Availability\n: 1985-01-01T00:00:00Z--2018-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [Tsinghua University](http://data.ess.tsinghua.edu.cn/)\n\nTags\n:\n [built](/earth-engine/datasets/tags/built) [population](/earth-engine/datasets/tags/population) [tsinghua](/earth-engine/datasets/tags/tsinghua) [urban](/earth-engine/datasets/tags/urban) \n development \nimpervious \n\n#### Description\n\nThis dataset contains annual change information of global impervious surface area from 1985 to\n2018 at a 30m resolution. Change from pervious to impervious was determined using a combined\napproach of supervised classification and temporal consistency checking. Impervious pixels are\ndefined as above 50% impervious. The year of the transition (from pervious to impervious) can\nbe identified from the pixel value, ranging from 34 (year: 1985) to 1 (year: 2018). For\nexample, the impervious surface in 1990 can be revealed as the pixel value greater than 29\n(see the lookup table). This dataset is temporally consistent, following the conversion from\npervious (e.g., non-urban) to impervious (e.g., urban) monotonically. For more information\nabout the mapping approach and assessment, see\n[Annual maps of global artificial impervious area (GAIA) between 1985 and 2018\n(Gong et al. 2020)](https://doi.org/10.1016/j.rse.2019.111510).\n\n### Bands\n\n\n**Pixel Size**\n\n30 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|---------------------|-----|------|------------|-------------------------------------------------------------------------------------------------|\n| `change_year_index` | 1\\* | 34\\* | meters | Year of the transition from from pervious to impervious. From 34 (year: 1985) to 1 (year: 2018) |\n\n\\* estimated min or max value\n\n**change_year_index Class Table**\n\n| Value | Color | Description |\n|-------|---------|-------------|\n| 1 | #014352 | 2018 |\n| 2 | #1a492c | 2017 |\n| 3 | #071ec4 | 2016 |\n| 4 | #b5ca36 | 2015 |\n| 5 | #729eac | 2014 |\n| 6 | #8ea5de | 2013 |\n| 7 | #818991 | 2012 |\n| 8 | #62a3c3 | 2011 |\n| 9 | #ccf4fe | 2010 |\n| 10 | #74f0b9 | 2009 |\n| 11 | #32bc55 | 2008 |\n| 12 | #c72144 | 2007 |\n| 13 | #56613b | 2006 |\n| 14 | #c14683 | 2005 |\n| 15 | #c31c25 | 2004 |\n| 16 | #5f6253 | 2003 |\n| 17 | #11bf85 | 2002 |\n| 18 | #a61b26 | 2001 |\n| 19 | #99fbc5 | 2000 |\n| 20 | #188aaa | 1999 |\n| 21 | #c2d7f1 | 1998 |\n| 22 | #b7d9d8 | 1997 |\n| 23 | #856f96 | 1996 |\n| 24 | #109c6b | 1995 |\n| 25 | #2de3f4 | 1994 |\n| 26 | #9a777d | 1993 |\n| 27 | #151796 | 1992 |\n| 28 | #c033d8 | 1991 |\n| 29 | #510037 | 1990 |\n| 30 | #640c21 | 1989 |\n| 31 | #31a191 | 1988 |\n| 32 | #223ab0 | 1987 |\n| 33 | #b692ac | 1986 |\n| 34 | #2de3f4 | 1985 |\n\n### Terms of Use\n\n**Terms of Use**\n\nThis work is licensed under a Creative Commons Attribution 4.0 International License.\n\u003chttps://creativecommons.org/licenses/by/4.0/\u003e\n\n### Citations\n\nCitations:\n\n- Gong, P., Li, X., Wang, J., Bai, Y., Chen, B., Hu, T., ... \\& Zhou, Y. (2020).\n Annual maps of global artificial impervious area (GAIA) between 1985 and 2018.\n Remote Sensing of Environment, 236, 111510.\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.Image('Tsinghua/FROM-GLC/GAIA/v10');\n\nvar visualization = {\n bands: ['change_year_index'],\n min: 0,\n max: 34,\n palette: [\n '014352', '1a492c', '071ec4', 'b5ca36', '729eac', '8ea5de',\n '818991', '62a3c3', 'ccf4fe', '74f0b9', '32bc55', 'c72144',\n '56613b', 'c14683', 'c31c25', '5f6253', '11bf85', 'a61b26',\n '99fbc5', '188aaa', 'c2d7f1', 'b7d9d8', '856f96', '109c6b',\n '2de3f4', '9a777d', '151796', 'c033d8', '510037', '640c21',\n '31a191', '223ab0', 'b692ac', '2de3f4',\n ]\n};\n\nMap.setCenter(-37.62, 25.8, 2);\n\nMap.addLayer(dataset, visualization, 'Change year index');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/Tsinghua/Tsinghua_FROM-GLC_GAIA_v10) \n[Tsinghua FROM-GLC Year of Change to Impervious Surface](/earth-engine/datasets/catalog/Tsinghua_FROM-GLC_GAIA_v10) \nThis 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 ... \nTsinghua/FROM-GLC/GAIA/v10, built,population,tsinghua,urban \n1985-01-01T00:00:00Z/2018-12-31T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/http://data.ess.tsinghua.edu.cn/)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/Tsinghua_FROM-GLC_GAIA_v10)"]]
