Cet ensemble de données contient les intensités annuelles, estivales et hivernales de l'îlot de chaleur urbain de surface (SUHI) pour le jour et la nuit pour plus de 10 000 agglomérations urbaines dans le monde. L'ensemble de données a été créé à l'aide des produits MODIS 8-day TERRA et AQUA sur la température de surface terrestre (LST), de la base de données Landscan sur l'étendue urbaine, des données mondiales d'élévation du terrain multi-résolution 2010 et des données sur la couverture terrestre de l'initiative sur le changement climatique (CCI) de l'Agence spatiale européenne (ESA) à l'aide de l'algorithme simplifié d'étendue urbaine. Le produit est disponible au niveau des pixels (à une résolution de 300 m après réduction) et sous forme de moyennes de zones urbaines de 2003 à 2018. Les composites mensuels ne sont disponibles que sous forme de moyennes de clusters urbains.
L'ensemble de données est divisé en six composants :
UHI_all_averaged: : image contenant l'intensité SUHI composite moyenne des clusters pour le jour et la nuit, pour l'année, l'été et l'hiver.
UHI_monthly_averaged: : image contenant des composites mensuels moyens au niveau du cluster de l'intensité de l'UHIS de jour et de nuit.
UHI_yearly_averaged: : collection d'images de composites annuels moyens au niveau des clusters de l'intensité de l'UHIS de jour et de nuit de 2003 à 2018.
UHI_yearly_pixel: : collection d'images de l'intensité annuelle de l'îlot de chaleur urbain (SUHI, Surface Urban Heat Island) de jour et de nuit, désagrégée spatialement (échelle nominale de 300 mètres), de 2003 à 2018.
Summer_UHI_yearly_pixel: : collection d'images de l'intensité de l'îlot de chaleur urbain (ICU) estival de jour et de nuit, désagrégée spatialement (échelle nominale de 300 m), de 2003 à 2018.
Winter_UHI_yearly_pixel: : collection d'images de l'intensité de l'îlot de chaleur urbain (ICU) en hiver, le jour et la nuit, de 2003 à 2018, avec une échelle nominale de 300 mètres.
Chakraborty, T., & Lee, X. (2019). Un algorithme simplifié d'étendue urbaine pour caractériser les îlots de chaleur urbains de surface à l'échelle mondiale et examiner le contrôle de la végétation sur leur variabilité spatiotemporelle. International
Journal of Applied Earth Observation and Geoinformation, 74, 269-280.
doi:10.1016/j.jag.2018.09.015
Cet ensemble de données contient les intensités annuelles, estivales et hivernales de l'îlot de chaleur urbain en surface (SUHI) pour le jour et la nuit dans plus de 10 000 agglomérations urbaines du monde entier. L'ensemble de données a été créé à l'aide des produits MODIS 8-day TERRA et AQUA sur la température des sols en surface (LST), de la base de données sur l'étendue urbaine Landscan, du terrain global multirésolution…
[null,null,[],[[["\u003cp\u003eThis dataset provides monthly, annual, summertime, and wintertime surface urban heat island (SUHI) intensity data for over 10,000 urban clusters globally from 2003 to 2018.\u003c/p\u003e\n"],["\u003cp\u003eSUHI intensity is provided for both daytime and nighttime, and the dataset includes cluster-mean monthly composites, as well as spatially disaggregated data at a 300m resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset was created using MODIS land surface temperature products, Landscan urban extent data, terrain elevation data, and ESA land cover data using the Simplified Urban-Extent Algorithm.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore the data further using the Global Surface UHI Explorer web application or access it programmatically via the provided Earth Engine snippet.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available under a CC-BY-4.0 license and citations for relevant publications are provided.\u003c/p\u003e\n"]]],["This dataset from the Yale Center for Earth Observation (YCEO) provides surface urban heat island (SUHI) intensity data from 2003 to 2018, covering over 10,000 urban clusters globally. The data, derived from MODIS and other sources, includes monthly, annual, summer, and wintertime composites for day and night. It offers cluster-mean values and pixel-level data at 300m resolution, all accessible through Google Earth Engine with specified visualization parameters. The data is licensed under CC-BY-4.0.\n"],null,["# YCEO Surface Urban Heat Islands: Spatially-Averaged Monthly Composites of Daytime and Nighttime Intensity\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 second component.\n\n### Bands\n\n\n**Pixel Size**\n\n300 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|-----------------|-------|------------|-------------------------|\n| `Jan_day_UHI` | °C | meters | January Daytime UHI |\n| `Jan_night_UHI` | °C | meters | January Nighttime UHI |\n| `Feb_day_UHI` | °C | meters | February Daytime UHI |\n| `Feb_night_UHI` | °C | meters | February Nighttime UHI |\n| `Mar_day_UHI` | °C | meters | March Daytime UHI |\n| `Mar_night_UHI` | °C | meters | March Nighttime UHI |\n| `Apr_day_UHI` | °C | meters | April Daytime UHI |\n| `Apr_night_UHI` | °C | meters | April Nighttime UHI |\n| `May_day_UHI` | °C | meters | May Daytime UHI |\n| `May_night_UHI` | °C | meters | May Nighttime UHI |\n| `Jun_day_UHI` | °C | meters | June Daytime UHI |\n| `Jun_night_UHI` | °C | meters | June Nighttime UHI |\n| `Jul_day_UHI` | °C | meters | July Daytime UHI |\n| `Jul_night_UHI` | °C | meters | July Nighttime UHI |\n| `Aug_day_UHI` | °C | meters | August Daytime UHI |\n| `Aug_night_UHI` | °C | meters | August Nighttime UHI |\n| `Sep_day_UHI` | °C | meters | September Daytime UHI |\n| `Sep_night_UHI` | °C | meters | September Nighttime UHI |\n| `Oct_day_UHI` | °C | meters | October Daytime UHI |\n| `Oct_night_UHI` | °C | meters | October Nighttime UHI |\n| `Nov_day_UHI` | °C | meters | November Daytime UHI |\n| `Nov_night_UHI` | °C | meters | November Nighttime UHI |\n| `Dec_day_UHI` | °C | meters | December Daytime UHI |\n| `Dec_night_UHI` | °C | meters | December 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_monthly_averaged/v4');\n\nvar visualization = {\n bands: ['Jan_day_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, 'January Daytime UHI');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/YALE/YALE_YCEO_UHI_UHI_monthly_averaged_v4) \n[YCEO Surface Urban Heat Islands: Spatially-Averaged Monthly Composites of Daytime and Nighttime Intensity](/earth-engine/datasets/catalog/YALE_YCEO_UHI_UHI_monthly_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_monthly_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_monthly_averaged_v4)"]]
