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Satellite-Derived Environmental Indicators

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  • Collection Overview
  • Data Sets (10)
    • Global Urban Heat Island (UHI) Data Set, v1 (2013)
    • Annual PM2.5 Concentrations for Countries and Urban Areas, v1 (1998 – 2016)
    • Global (GL) Annual PM2.5 Grids from MODIS, MISR and SeaWiFS Aerosol Optical Depth (AOD), v4.03 (1998 – 2019)
    • Global 3-Year Running Mean Ground-Level NO2 Grids from GOME, SCIAMACHY and GOME-2, v1 (1996 – 2012)
    • Global Fire Emissions Indicators, Country-Level Tabular Data, v1 (1997 – 2015)
    • Global Fire Emissions Indicators, Grids, v1 (1997 – 2015)
    • Global High Resolution Daily Extreme Urban Heat Exposure (UHE-Daily), v1 (1983 – 2016)
    • Global Summer Land Surface Temperature (LST) Grids, v1 (2013)
    • Trends in Global Freshwater Availability from the Gravity Recovery and Climate Experiment (GRACE), v1 (2002 – 2016)
    • VIIRS Plus DMSP Change in Lights (VIIRS+DMSP dLIGHT), v1 (1992, 2002, 2013)
  • Map Gallery (65)
  • Map Services (14)
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Global Urban Heat Island (UHI) Data Set, v1 (2013)

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Purpose:
To provide a global data set of average summer daytime maximum/nighttime minimum land surface temperatures (LSTs) for urban extents, as well as the LST difference between the urban area and the buffer.
Abstract:
The Urban Heat Island (UHI) effect represents the relatively higher temperatures found in urban areas compared to surrounding rural areas owing to higher proportions of impervious surfaces and the release of waste heat from vehicles and heating and cooling systems. Paved surfaces and built structures tend to absorb shortwave radiation from the sun and release long-wave radiation after a lag of a few hours. The Global Urban Heat Island (UHI) Data Set, 2013, estimates the land surface temperature within urban areas in degrees Celsius (average summer daytime maximum and average summer nighttime minimum) as well as the difference between those temperatures and the temperatures in surrounding rural areas, defined as a 10km buffer around the urban extent. Urban extents are from SEDAC’s Global Rural-Urban Mapping Project, Version 1 (GRUMPv1), and land surface temperatures are from SEDAC’s Global Summer Land Surface Temperature (LST) Grids, 2013, which are derived from the Aqua Level-3 Moderate Resolution Imaging Spectroradiometer (MODIS) Version 5 global daytime and nighttime Land Surface Temperature (LST) 8-day composite data (MYD11A2). For most regions, the UHI data set provides the average daytime maximum (1:30 p.m. overpass) and average nighttime minimum (1:30 a.m. overpass) temperatures in urban and rural areas, and the urban-rural temperature differences, derived from LST data representing a 40-day time-span during July-August (Julian days 185-224) in the northern hemisphere and January-February (Julian days 001-040) in the southern hemisphere. LST grid cells with missing values resulting from high cloud cover in tropical regions were filled with daytime maximum and nighttime minimum LST values from April-May 2013 in the northern hemisphere and December 2013-January 2014 in the southern hemisphere, where available. Some data gaps remain in areas where data were insufficient (e.g., Central Africa).
Recommended Citation(s)*:

Center for International Earth Science Information Network - CIESIN - Columbia University. 2016. Global Urban Heat Island (UHI) Data Set, 2013. Palisades, New York: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4H70CRF. Accessed DAY MONTH YEAR.

ENW (EndNote & RefWorks)†
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* When authors make use of data they should cite both the data set and the scientific publication, if available. Such a practice gives credit to data set producers and advances principles of transparency and reproducibility. Please visit the data citations page for details. Users who would like to choose to format the citation(s) for this dataset using a myriad of alternate styles can copy the DOI number and paste it into Crosscite's website.

† For EndNote users, please check the Research Note field for issues with importing authors that are organizations when using the ENW file format.

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