4 datasets found
  1. G

    DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological...

    • developers.google.com
    Updated Jan 1, 2014
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    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines (2014). DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS
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    Dataset updated
    Jan 1, 2014
    Dataset provided by
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines
    Time period covered
    Jan 1, 1992 - Jan 1, 2014
    Area covered
    Description

    The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. Version 4 of the DMSP-OLS Nighttime Lights Time Series consists of cloud-free composites made using all the available archived DMSP-OLS smooth resolution data for calendar years. In cases where two satellites were collecting data, two composites were produced. Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency.

  2. G

    VIIRS Nighttime Day/Night Annual Band Composites V2.1

    • developers.google.com
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    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines, VIIRS Nighttime Day/Night Annual Band Composites V2.1 [Dataset]. http://doi.org/10.3390/rs13050922
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    Dataset provided by
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines
    Time period covered
    Apr 1, 2012 - Jan 1, 2021
    Area covered
    Description

    Annual global VIIRS nighttime lights dataset is a time series produced from monthly cloud-free average radiance grids spanning 2013 to 2021. Data for 2022 are available in the NOAA/VIIRS/DNB/ANNUAL_V22 dataset. An initial filtering step removed sunlit, moonlit and cloudy pixels, leading to rough composites that contains lights, fires, aurora and background. The rough annual composites are made on monthly increments and then combined to form rough annual composites. The subsequent steps uses the twelve-month median radiance to discard high and low radiance outliers, filtering out most fires and isolating the background. Background areas are zeroed out using the data range (DR) calculated from 3x3 grid cells. The DR threshold for background is indexed to cloud-cover levels, with higher DR thresholds in areas having low numbers of cloud-free coverages. Note: 2012 data are not yet included because of differences in processing. (A) 201204-201212, and (B) 201204-201303. Only set (B) has masked median and average bands which doesn't follow the pattern there in other year datasets.

  3. G

    VIIRS Nighttime Day/Night Band Composites Version 1

    • developers.google.com
    Updated May 31, 2017
    + more versions
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    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines (2017). VIIRS Nighttime Day/Night Band Composites Version 1 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG
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    Dataset updated
    May 31, 2017
    Dataset provided by
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines
    Time period covered
    Apr 1, 2012 - Mar 1, 2025
    Area covered
    Description

    Monthly average radiance composite images using nighttime data from the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB). As these data are composited monthly, there are many areas of the globe where it is impossible to get good quality data coverage for that month. This can be due to …

  4. f

    Comparison of the rescue campaigns worldwide.

    • plos.figshare.com
    xls
    Updated Jun 1, 2023
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    Airam Rodríguez; Graeme Burgan; Peter Dann; Roz Jessop; Juan J. Negro; Andre Chiaradia (2023). Comparison of the rescue campaigns worldwide. [Dataset]. http://doi.org/10.1371/journal.pone.0110114.t002
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    xlsAvailable download formats
    Dataset updated
    Jun 1, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Airam Rodríguez; Graeme Burgan; Peter Dann; Roz Jessop; Juan J. Negro; Andre Chiaradia
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    aEstimated from Figure 1 in [39];bEstimated by [13].Table shows the maximum numbers of grounded fledglings in one year (the year is in brackets), the percentage of affected birds following [14], the percentage of dead birds rescued, the maximum light pollution level on the island according to a cloud-free composite of VIIRS nighttime lights corresponding to April and October of 2012 (Earth Observation Group, NOAA National Geophysical Data Center; available at http://ngdc.noaa.gov/eog/viirs/download_monthly.html) and the maximum altitude. It is not an exhaustive list.Comparison of the rescue campaigns worldwide.

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Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines (2014). DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS

DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System

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25 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Jan 1, 2014
Dataset provided by
Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines
Time period covered
Jan 1, 1992 - Jan 1, 2014
Area covered
Description

The Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) has a unique capability to detect visible and near-infrared (VNIR) emission sources at night. Version 4 of the DMSP-OLS Nighttime Lights Time Series consists of cloud-free composites made using all the available archived DMSP-OLS smooth resolution data for calendar years. In cases where two satellites were collecting data, two composites were produced. Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency.

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