The Consistent and Corrected Nighttime Lights (CCNL) dataset is a reprocessed version of the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) Version 4. A series of methods was used to mitigate the impact of inter-annual inconsistency, saturation, and blooming effects and to improve data …
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 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 …
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 …
Annual global VIIRS nighttime lights dataset is a time series produced from monthly cloud-free average radiance grids for 2022. Data for earlier years are available in the NOAA/VIIRS/DNB/ANNUAL_V21 dataset. An initial filtering step removed sunlit, moonlit and cloudy pixels, leading to rough composites that contains …
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. …
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. …
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Missing the information I need","missingTheInformationINeed","thumb-down"],["Too complicated / too many steps","tooComplicatedTooManySteps","thumb-down"],["Out of date","outOfDate","thumb-down"],["Samples / code issue","samplesCodeIssue","thumb-down"],["Other","otherDown","thumb-down"]],[],[[["This collection of datasets provides various nighttime lights data, primarily from the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) and the Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band (DNB)."],["DMSP-OLS datasets offer global nighttime lights observations from 1992 to 2013, including calibrated lights, time series, and a consistent and corrected version (CCNL) mitigating inter-annual inconsistencies and saturation effects."],["VIIRS datasets provide higher resolution nighttime lights data, including annual composites from 2013 to 2022 (V2.1 and V2.2) and monthly composites (V1) with and without stray light correction."],["These datasets enable analysis of nighttime light emissions, reflecting human activities, urbanization, and environmental changes over time."],["Users can access both DMSP-OLS and VIIRS nighttime lights datasets, selecting the appropriate dataset based on their specific needs for temporal and spatial coverage, data quality, and processing levels."]]],[]]
