এই ডেটাসেটে সারা বিশ্বে 10,000টিরও বেশি শহুরে ক্লাস্টারের জন্য বার্ষিক, গ্রীষ্মকালীন এবং শীতকালীন সারফেস আরবান হিট আইল্যান্ড (SUHI) দিন ও রাতের তীব্রতা রয়েছে। ডেটাসেটটি MODIS 8-দিনের TERRA এবং AQUA ল্যান্ড সারফেস টেম্পারেচার (LST) প্রোডাক্ট, ল্যান্ডস্ক্যান আরবান এক্সটেন্ট ডেটাবেস, গ্লোবাল মাল্টি-রেজোলিউশন টেরেইন এলিভেশন ডেটা 2010, এবং ইউরোপিয়ান স্পেস এজেন্সি (ESA) ক্লাইমেট চেঞ্জ ইনিশিয়েটিভ (CCI) ল্যান্ড কভার ডেটা ব্যবহার করে তৈরি করা হয়েছে। পণ্যটি পিক্সেল স্তরে (ডাউনস্কেলিংয়ের পরে 300 মিটার রেজোলিউশনে) এবং শহুরে ক্লাস্টার মানে 2003 থেকে 2018 উভয় ক্ষেত্রেই পাওয়া যায়। মাসিক কম্পোজিটগুলি শুধুমাত্র শহুরে ক্লাস্টার উপায় হিসাবে উপলব্ধ।
চক্রবর্তী, টি., এবং লি, এক্স. (2019)। একটি সরলীকৃত শহুরে-ব্যাপ্তি অ্যালগরিদম যা বিশ্বব্যাপী শহুরে তাপ দ্বীপগুলির বৈশিষ্ট্য চিহ্নিত করে এবং তাদের স্প্যাটিওটেম্পোরাল পরিবর্তনশীলতার উপর গাছপালা নিয়ন্ত্রণ পরীক্ষা করে। ফলিত আর্থ অবজারভেশন অ্যান্ড জিওইনফরমেশনের আন্তর্জাতিক জার্নাল, 74, 269-280। doi:10.1016/j.jag.2018.09.015
এই ডেটাসেটে সারা বিশ্বে 10,000টিরও বেশি শহুরে ক্লাস্টারের জন্য বার্ষিক, গ্রীষ্মকালীন এবং শীতকালীন সারফেস আরবান হিট আইল্যান্ড (SUHI) দিন ও রাতের তীব্রতা রয়েছে। ডেটাসেটটি MODIS 8-দিনের TERRA এবং AQUA ল্যান্ড সারফেস টেম্পারেচার (LST) প্রোডাক্ট, ল্যান্ডস্ক্যান আরবান এক্সটেন্ট ডাটাবেস, গ্লোবাল মাল্টি-রেজোলিউশন টেরেন ব্যবহার করে তৈরি করা হয়েছে …
[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)"]]
