Set data ini berisi intensitas pulau panas perkotaan permukaan (SUHI) tahunan, musim panas, dan musim dingin untuk siang dan malam selama lebih dari 10.000 gugus perkotaan di seluruh dunia. Kumpulan data ini dibuat menggunakan produk suhu permukaan lahan (LST) MODIS 8 hari TERRA dan AQUA, database cakupan perkotaan Landscan, Global Multi-resolution Terrain Elevation Data 2010, dan data cakupan lahan Climate Change Initiative (CCI) European Space Agency (ESA) menggunakan Algoritma Cakupan Perkotaan yang Disederhanakan. Produk ini tersedia di tingkat piksel (pada resolusi 300 m setelah di-downscale) dan sebagai sarana kelompok perkotaan dari tahun 2003 hingga 2018. Komposit bulanan hanya tersedia sebagai rata-rata
kelompok perkotaan.
UHI_all_averaged: Gambar yang berisi intensitas SUHI siang dan malam komposit rata-rata per cluster untuk tahunan, musim panas, dan musim dingin.
UHI_monthly_averaged: Gambar yang berisi komposit bulanan intensitas SUHI siang dan malam hari dengan rata-rata per cluster.
UHI_yearly_averaged: Kumpulan gambar komposit tahunan rata-rata per cluster dari intensitas SUHI siang dan malam hari dari tahun 2003 hingga 2018.
UHI_yearly_pixel: Kumpulan gambar intensitas SUHI tahunan siang dan malam yang terpisah secara spasial (skala nominal 300 m) dari tahun 2003 hingga 2018.
Summer_UHI_yearly_pixel: Kumpulan gambar intensitas SUHI siang dan malam hari musim panas yang terpisah secara spasial (skala nominal 300 m) dari tahun 2003 hingga 2018.
Winter_UHI_yearly_pixel: Kumpulan gambar intensitas SUHI siang dan malam hari musim dingin yang terpisah secara spasial (skala nominal 300 m) dari tahun 2003 hingga 2018.
Chakraborty, T., & Lee, X. (2019). Algoritma cakupan perkotaan yang disederhanakan untuk mengkarakterisasi pulau panas perkotaan di permukaan dalam skala global dan memeriksa kontrol vegetasi pada variabilitas ruang-waktu. International
Journal of Applied Earth Observation and Geoinformation, 74, 269-280.
doi:10.1016/j.jag.2018.09.015
Set data ini berisi intensitas pulau panas perkotaan permukaan (SUHI) tahunan, musim panas, dan musim dingin untuk siang dan malam selama lebih dari 10.000 gugus perkotaan di seluruh dunia. Set data ini dibuat menggunakan produk suhu permukaan lahan (LST) TERRA dan AQUA 8 hari MODIS, database cakupan perkotaan Landscan, 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)"]]
