YCEO Surface Urban Heat Islands: Pixel-Level Yearly Composites of Wintertime Daytime and Nighttime Intensity

  • This dataset provides pixel-level yearly composites of wintertime daytime and nighttime Surface Urban Heat Island (SUHI) intensity from 2003 to 2018 for over 10,000 urban clusters globally.

  • The data has a nominal resolution of 300 meters and includes bands for both Daytime and Nighttime UHI intensity in degrees Celsius.

  • It was generated using MODIS LST products, urban extent and elevation data, and land cover data through the Simplified Urban-Extent Algorithm.

  • This dataset is one of six components providing various averaged and pixel-level SUHI data.

  • The dataset is available for exploration and analysis through the Google Earth Engine platform and the Global Surface UHI Explorer web application.

YALE/YCEO/UHI/Winter_UHI_yearly_pixel/v4
Dataset Availability
2003-01-01T00:00:00Z–2018-12-31T00:00:00Z
Dataset Provider
Earth Engine Snippet
ee.ImageCollection("YALE/YCEO/UHI/Winter_UHI_yearly_pixel/v4")
Tags
climate uhi urban yale

Description

This 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 Elevation Data 2010, and the European Space Agency (ESA) Climate Change Initiative (CCI) land cover data using the Simplified Urban-Extent Algorithm. The product is available both at the pixel level (at 300 m resolution after downscaling) and as urban cluster means from 2003 to 2018. The monthly composites are only available as urban cluster means.

A summary of older versions, including changes from the dataset created and analyzed in the originally published manuscript can be found on the Yale Center for Earth Observation website. The dataset can also be explored using the Global Surface UHI Explorer web application.

The dataset is split into the following six components:

  1. UHI_all_averaged: Image containing cluster-mean composite daytime and nighttime SUHI intensity for annual, summer, and winter.

  2. UHI_monthly_averaged: Image containing cluster-mean monthly composites of daytime and nighttime SUHI intensity.

  3. UHI_yearly_averaged: Image collection of cluster-mean yearly composites of daytime and nighttime SUHI intensity from 2003. to 2018.

  4. UHI_yearly_pixel: Image collection of spatially disaggregated (nominal scale of 300 m) annual daytime and nighttime SUHI intensity from 2003 to 2018.

  5. Summer_UHI_yearly_pixel: Image collection of spatially disaggregated (nominal scale of 300 m) summertime daytime and nighttime SUHI intensity from 2003 to 2018.

  6. Winter_UHI_yearly_pixel: Image collection of spatially disaggregated (nominal scale of 300 m) wintertime daytime and nighttime SUHI intensity from 2003 to 2018.

This asset is the sixth component.

Bands

Pixel Size
300 meters

Bands

Name Units Pixel Size Description
Daytime °C meters

Daytime UHI

Nighttime °C meters

Nighttime UHI

Terms of Use

Terms of Use

CC-BY-4.0

Citations

Citations:
  • Chakraborty, T., & Lee, X. (2019). A simplified urban-extent algorithm to characterize surface urban heat islands on a global scale and examine vegetation control on their spatiotemporal variability. International Journal of Applied Earth Observation and Geoinformation, 74, 269-280. doi:10.1016/j.jag.2018.09.015

Explore with Earth Engine

Code Editor (JavaScript)

var dataset = ee.ImageCollection('YALE/YCEO/UHI/Winter_UHI_yearly_pixel/v4');

var visualization = {
  bands: ['Daytime'],
  min: -1.5,
  max: 7.5,
  palette: [
    '313695', '74add1', 'fed976', 'feb24c', 'fd8d3c', 'fc4e2a', 'e31a1c',
    'b10026']
};

Map.setCenter(-74.7, 40.6, 7);

Map.addLayer(dataset, visualization, 'Daytime UHI');
Open in Code Editor