6 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

    DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense...

    • developers.google.com
    Updated Jul 31, 2011
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    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines (2011). DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4
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    Dataset updated
    Jul 31, 2011
    Dataset provided by
    Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines
    Time period covered
    Mar 16, 1996 - Jul 31, 2011
    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. This collection contains global nighttime lights images with no sensor saturation. The sensor is typically operated at a high-gain setting to enable the detection of moonlit clouds. However, with six bit quantization and limited dynamic range, the recorded data are saturated in the bright cores of urban centers. A limited set of observations at low lunar illumination were obtained where the gain of the detector was set significantly lower than its typical operational setting (sometimes by a factor of 100). Sparse data acquired at low-gain settings were combined with the operational data acquired at high-gain settings to produce the set of global nighttime lights images with no sensor saturation. Data from different satellites were merged and blended into the final product in order to gain maximum coverage. For more information, see this readme file from the provider. Image and data processing by NOAA's National Geophysical Data Center. DMSP data collected by US Air Force Weather Agency.

  3. Harmonization of DMSP and VIIRS nighttime light data from 1992-2024 at the...

    • figshare.com
    tiff
    Updated Aug 10, 2025
    + more versions
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    Xuecao Li; Yuyu Zhou; Min zhao; Xia Zhao (2025). Harmonization of DMSP and VIIRS nighttime light data from 1992-2024 at the global scale [Dataset]. http://doi.org/10.6084/m9.figshare.9828827.v10
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    tiffAvailable download formats
    Dataset updated
    Aug 10, 2025
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Xuecao Li; Yuyu Zhou; Min zhao; Xia Zhao
    License

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

    Description

    The dataset contains (1) temporally calibrated DMSP-OLS NTL time series data from 1992-2013; and (2) converted NTL time series from the VIIRS data (2014-2024)Spatial resolution: 30 arc-seconds (~1km)Information about the composited images from the calibrated DMSP dataset:F10(1992-1994); F12(1995-1996); F14(1997-2003); F16(2004-2009); F18(2010-2013)We suggested using pixels with DN values greater than 7.

  4. f

    Cloud-free coverage - DMSP-OLS Nighttime Lights

    • data.apps.fao.org
    Updated Apr 16, 2021
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    (2021). Cloud-free coverage - DMSP-OLS Nighttime Lights [Dataset]. https://data.apps.fao.org/map/catalog/sru/search?orgName=DMSP%20data%20collected%20by%20US%20Air%20Force%20Weather%20Agency
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    Dataset updated
    Apr 16, 2021
    Description

    Cloud-free coverages (cf_cvg) tally the total number of observations that went into each 30 arc second grid cell. This image can be used to identify areas with low numbers of observations where the quality is reduced. In some years there are areas with zero cloud-free observations in certain locations. This composite set is a component of the DMSP-OLS nighttime lights imagery for the years 1992-2013. The individual images are cloud-free composites made using all the available archived DMSP-OLS (Defense Meteorological Satellite Program - Operational Linescan System) smooth resolution data for calendar years. In cases where two satellites were collecting data - two composites were produced. The products are 30 arc second grids, spanning -180 to 180 degrees longitude and -65 to 75 degrees latitude. Each composite set is named with the satellite and the year (F121995 is from DMSP satellite number F12 for the year 1995).

  5. G

    DMSP OLS: 夜間照明の時系列バージョン 4、国防気象プログラム運用ラインスキャン システム

    • developers.google.com
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    コロラド鉱山大学、Payne Institute for Public Policy、Earth Observation Group, DMSP OLS: 夜間照明の時系列バージョン 4、国防気象プログラム運用ラインスキャン システム [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS?hl=ja
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    Dataset provided by
    コロラド鉱山大学、Payne Institute for Public Policy、Earth Observation Group
    Time period covered
    Jan 1, 1992 - Jan 1, 2014
    Area covered
    Description

    国防気象プログラム(DMSP)運用ラインスキャン システム(OLS)には、夜間に可視光と近赤外線(VNIR)の放射源を検出する独自の機能があります。DMSP-OLS 夜間照明時系列のバージョン 4 は、利用可能なすべてのアーカイブ済み DMSP-OLS スムーズ解像度データを使用して作成された、暦年の雲のない複合画像で構成されています。…

  6. G

    DMSP OLS: 야간 조명 시계열 버전 4, 국방 기상 프로그램 운영 라인스캔 시스템

    • developers.google.com
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    지구 관측 그룹, 콜로라도 광산 학교 공공 정책 페인 연구소, DMSP OLS: 야간 조명 시계열 버전 4, 국방 기상 프로그램 운영 라인스캔 시스템 [Dataset]. https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS?hl=ko
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    Dataset provided by
    지구 관측 그룹, 콜로라도 광산 학교 공공 정책 페인 연구소
    Time period covered
    Jan 1, 1992 - Jan 1, 2014
    Area covered
    Description

    국방 기상 프로그램 (DMSP) 운영 라인 스캔 시스템(OLS)은 밤에 가시광선 및 근적외선 (VNIR) 방출 소스를 감지하는 고유한 기능을 갖추고 있습니다. DMSP-OLS 야간 조명 시계열 버전 4는 달력 연도에 사용할 수 있는 모든 보관된 DMSP-OLS 부드러운 해상도 데이터를 사용하여 만든 구름 없는 합성으로 구성됩니다. 두 대의 위성이 데이터를 수집한 경우 두 개의 합성 이미지가 생성되었습니다. NOAA의 National Geophysical Data Center에서 이미지와 데이터를 처리합니다. 미국 공군 기상청에서 수집한 DMSP 데이터입니다.

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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

Explore at:
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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