이 데이터 세트에는 전 세계 10, 000개 이상의 도시 클러스터에 대한 연간, 여름,겨울 주간 및 야간 표면 도시 열섬 (SUHI) 강도가 포함되어 있습니다. 이 데이터 세트는 간소화된 도시 범위 알고리즘을 사용하여 MODIS 8일 TERRA 및 AQUA 지표 온도 (LST) 제품, Landscan 도시 범위 데이터베이스, Global Multi-resolution Terrain Elevation Data 2010, 유럽우주기구 (ESA) 기후 변화 이니셔티브 (CCI) 토지 피복 데이터를 사용하여 생성되었습니다. 이 제품은 픽셀 수준 (다운스케일링 후 300m 해상도)과 2003~2018년의 도시 클러스터 평균으로 제공됩니다. 월별 합성 데이터는 도시 클러스터 평균으로만 제공됩니다.
Chakraborty, T., & Lee, X. (2019). 전 세계적으로 표면 도시 열섬을 특성화하고 시공간적 가변성에 대한 식물 제어를 조사하기 위한 단순화된 도시 범위 알고리즘 International
Journal of Applied Earth Observation and Geoinformation, 74, 269-280.
doi:10.1016/j.jag.2018.09.015
이 데이터 세트에는 전 세계 10, 000개 이상의 도시 클러스터의 연간, 여름,겨울 지표 도시 열섬 (SUHI) 강도가 낮과 밤에 대해 포함되어 있습니다. 이 데이터 세트는 MODIS 8일 TERRA 및 AQUA 지표 온도 (LST) 제품, Landscan 도시 범위 데이터베이스, Global Multi-resolution Terrain …
[null,null,[],[[["\u003cp\u003eThis dataset provides annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters globally from 2003 to 2018.\u003c/p\u003e\n"],["\u003cp\u003eSUHI intensity data is available as both cluster means and at pixel level (300m resolution) derived from MODIS land surface temperature products.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes six components: averaged UHI for all, monthly, and yearly; and pixel-level UHI for yearly, summer, and winter.\u003c/p\u003e\n"],["\u003cp\u003eIt was created using a simplified urban-extent algorithm and can be explored further through the Global Surface UHI Explorer web application.\u003c/p\u003e\n"],["\u003cp\u003eThis specific asset focuses on cluster-mean composite daytime and nighttime SUHI intensity for annual, summer, and winter periods.\u003c/p\u003e\n"]]],[],null,["# YCEO Surface Urban Heat Islands: Spatially-Averaged Daytime and Nighttime Intensity for Annual, Summer, and Winter\n\nDataset Availability\n: 2003-01-01T00:00:00Z--2018-12-31T00:00:00Z\n\nDataset Provider\n:\n\n\n [Yale Center for Earth Observation (YCEO)](https://yceo.yale.edu/research/global-surface-uhi-explorer)\n\nTags\n:\n[climate](/earth-engine/datasets/tags/climate) [uhi](/earth-engine/datasets/tags/uhi) [urban](/earth-engine/datasets/tags/urban) [yale](/earth-engine/datasets/tags/yale) \n\n#### Description\n\nThis dataset contains annual, summertime, and wintertime surface urban\nheat island (SUHI) intensities for day and night for over 10,000 urban clusters\nthroughout the world. The dataset was created using the MODIS 8-day TERRA and\nAQUA land surface temperature (LST) products, the Landscan urban extent\ndatabase, the Global Multi-resolution Terrain Elevation Data 2010, and the\nEuropean Space Agency (ESA) Climate Change Initiative (CCI) land cover data\nusing the Simplified Urban-Extent Algorithm. The product is available both at\nthe pixel level (at 300 m resolution after downscaling) and as urban cluster\nmeans from 2003 to 2018. The monthly composites are only available as urban\ncluster means.\n\nA summary of older versions,\nincluding changes from the dataset created and analyzed in the originally\npublished manuscript can be found on the\n[Yale Center for Earth Observation website](https://yceo.yale.edu/research/global-surface-uhi-explorer).\nThe dataset can also be explored using the [Global Surface UHI\nExplorer web application](https://yceo.users.earthengine.app/view/uhimap).\n\nThe dataset is split into the following six components:\n\n1. **UHI_all_averaged:** Image containing cluster-mean\n composite daytime and nighttime SUHI intensity for annual, summer,\n and winter.\n\n2. **UHI_monthly_averaged:** Image containing cluster-mean\n monthly composites of daytime and nighttime SUHI intensity.\n\n3. **UHI_yearly_averaged:** Image collection of cluster-mean\n yearly composites of daytime and nighttime SUHI intensity from 2003.\n to 2018.\n\n4. **UHI_yearly_pixel:** Image collection of spatially\n disaggregated (nominal scale of 300 m) annual daytime and nighttime\n SUHI intensity from 2003 to 2018.\n\n5. **Summer_UHI_yearly_pixel:** Image collection of spatially\n disaggregated (nominal scale of 300 m) summertime daytime and\n nighttime SUHI intensity from 2003 to 2018.\n\n6. **Winter_UHI_yearly_pixel:** Image collection of spatially\n disaggregated (nominal scale of 300 m) wintertime daytime and\n nighttime SUHI intensity from 2003 to 2018.\n\nThis asset is the first component.\n\n### Bands\n\n\n**Pixel Size**\n\n300 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|------------------------|-------|------------|----------------------|\n| `all_daytime_UHI` | °C | meters | All Daytime UHI |\n| `all_nighttime_UHI` | °C | meters | All Nighttime UHI |\n| `summer_daytime_UHI` | °C | meters | summer Daytime UHI |\n| `summer_nighttime_UHI` | °C | meters | Summer Nighttime UHI |\n| `winter_daytime_UHI` | °C | meters | Winter Daytime UHI |\n| `winter_nighttime_UHI` | °C | meters | Winter Nighttime UHI |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Chakraborty, T., \\& Lee, X. (2019). A simplified urban-extent algorithm\n to characterize surface urban heat islands on a global scale and examine\n vegetation control on their spatiotemporal variability. International\n Journal of Applied Earth Observation and Geoinformation, 74, 269-280.\n [doi:10.1016/j.jag.2018.09.015](https://doi.org/10.1016/j.jag.2018.09.015)\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('YALE/YCEO/UHI/UHI_all_averaged/v4');\n\nvar visualization = {\n bands: ['all_daytime_UHI'],\n min: -1.5,\n max: 7.5,\n palette: [\n '313695', '74add1', 'fed976', 'feb24c', 'fd8d3c', 'fc4e2a', 'e31a1c',\n 'b10026']\n};\n\nMap.setCenter(-74.7, 40.6, 7);\n\nMap.addLayer(dataset, visualization, 'All Daytime UHI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/YALE/YALE_YCEO_UHI_UHI_all_averaged_v4) \n[YCEO Surface Urban Heat Islands: Spatially-Averaged Daytime and Nighttime Intensity for Annual, Summer, and Winter](/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_all_averaged_v4) \nThis dataset contains annual, summertime, and wintertime surface urban heat island (SUHI) intensities for day and night for over 10,000 urban clusters throughout the world. The dataset was created using the MODIS 8-day TERRA and AQUA land surface temperature (LST) products, the Landscan urban extent database, the Global Multi-resolution Terrain ... \nYALE/YCEO/UHI/UHI_all_averaged/v4, climate,uhi,urban,yale \n2003-01-01T00:00:00Z/2018-12-31T00:00:00Z \n-49.98 -180 69.7 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://yceo.yale.edu/research/global-surface-uhi-explorer)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_all_averaged_v4)"]]
