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CCNL: ensemble de données sur les lumières nocturnes cohérent et corrigé à partir de DMSP-OLS (1992-2013) v1
Le jeu de données CCNL (Consistent and Corrected Nighttime Lights) est une version retravaillée de la version 4 du système OLS (Operational Line-Scan System) du programme de météorologie de défense (DMSP). Une série de méthodes a été utilisée pour atténuer l'impact de l'incohérence interannuelle, de la saturation et des effets de floraison, et pour améliorer les données … dmsp eog imagerie lumières nuit ols -
DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System
Le système OLS (Operational Line-Scan System) du programme de météorologie de défense (DMSP) a la capacité unique de détecter les sources d'émissions visibles et infrarouges proches (VNIR) la nuit. Cette collection contient des images globales des lumières nocturnes sans saturation des capteurs. Le capteur est généralement utilisé avec un gain élevé pour permettre … dmsp eog imagerie lumières nuit ols -
DMSP OLS: série temporelle des lumières nocturnes, version 4, système de balayage opérationnel du programme de météorologie de défense
Le système OLS (Operational Line-Scan System) du programme de météorologie de défense (DMSP) a la capacité unique de détecter les sources d'émissions visibles et infrarouges proches (VNIR) la nuit. La version 4 de la série temporelle des lumières nocturnes du DMSP-OLS se compose de composites sans nuage créés à l'aide de toutes les résolutions lisses DMSP-OLS archivées disponibles. dmsp eog imagerie lumières nuit ols -
Composites annuels des bandes jour/nuit de VIIRS (version 2.1)
Le jeu de données annuel mondial sur les lumières nocturnes du VIIRS est une série temporelle produite à partir de grilles mensuelles de radiance moyenne sans nuage couvrant la période 2013-2021. Les données pour 2022 sont disponibles dans l'ensemble de données NOAA/VIIRS/DNB/ANNUAL_V22. Une première étape de filtrage a supprimé les pixels ensoleillés, éclairés par la lune et nuageux, ce qui a donné des composites bruts qui … annuel dnb eog lumières nuit noaa -
Composites annuels des bandes jour/nuit de VIIRS (version 2.2)
Le jeu de données annuel mondial sur les lumières nocturnes du VIIRS est une série temporelle produite à partir de grilles mensuelles de radiance moyenne sans nuage pour 2022. Les données des années précédentes sont disponibles dans l'ensemble de données NOAA/VIIRS/DNB/ANNUAL_V21. Une première étape de filtrage a supprimé les pixels ensoleillés, éclairés par la lune et nuageux, ce qui a donné des composites bruts contenant … annuel dnb eog lumières nuit noaa -
Composites de bandes jour/nuit de nuit du VIIRS, version 1
Images composites de la radiance moyenne mensuelle à l'aide de données nocturnes de la bande Day/Night (DNB) du radiomètre imageur infrarouge visible (VIIRS). Étant donné que ces données sont agrégées mensuellement, il est impossible d'obtenir une couverture de données de bonne qualité pour un mois donné dans de nombreuses régions du monde. … dnb eog lights monthly nighttime noaa -
Composites de bandes jour/nuit corrigés des lumières parasites du VIIRS, version 1
Images composites de la radiance moyenne mensuelle à l'aide de données nocturnes de la bande Day/Night (DNB) du radiomètre imageur infrarouge visible (VIIRS). Étant donné que ces données sont agrégées mensuellement, il est impossible d'obtenir une couverture de données de bonne qualité pour un mois donné dans de nombreuses régions du monde. … dnb eog lights monthly nighttime noaa
Datasets tagged eog in Earth Engine
[null,null,[],[[["\u003cp\u003eThis collection provides access to multiple versions of nighttime lights datasets, including DMSP-OLS and VIIRS.\u003c/p\u003e\n"],["\u003cp\u003eDMSP-OLS datasets offer global nighttime lights data, with versions focusing on radiance-calibrated imagery, time series analysis, and a consistent, corrected dataset (CCNL).\u003c/p\u003e\n"],["\u003cp\u003eVIIRS datasets provide annual and monthly composites of nighttime lights, with options for stray light correction and varying versions (V2.1, V2.2).\u003c/p\u003e\n"],["\u003cp\u003eThese datasets allow for the analysis of nighttime light emissions, enabling studies on urbanization, economic activity, and environmental changes.\u003c/p\u003e\n"],["\u003cp\u003eData from both DMSP-OLS and VIIRS are available for different time periods, allowing for temporal analysis and change detection.\u003c/p\u003e\n"]]],["The core content focuses on various nighttime light datasets, including the Consistent and Corrected Nighttime Lights (CCNL) and multiple versions of the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) and Visible Infrared Imaging Radiometer Suite (VIIRS) data. These datasets capture visible and near-infrared emissions at night, offering both annual and monthly composites. Data processing involves removing factors such as sunlit, moonlit, and cloudy pixels to produce refined, cloud-free composites. The CCNL dataset mitigates issues like inter-annual inconsistency and saturation.\n"],null,["# Datasets tagged eog in Earth Engine\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### CCNL: Consistent and Corrected Nighttime Light Dataset from DMSP-OLS (1992-2013) v1](/earth-engine/datasets/catalog/BNU_FGS_CCNL_v1) |\n | 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 ... |\n | [dmsp](/earth-engine/datasets/tags/dmsp) [eog](/earth-engine/datasets/tags/eog) [imagery](/earth-engine/datasets/tags/imagery) [lights](/earth-engine/datasets/tags/lights) [nighttime](/earth-engine/datasets/tags/nighttime) [ols](/earth-engine/datasets/tags/ols) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DMSP OLS: Global Radiance-Calibrated Nighttime Lights Version 4, Defense Meteorological Program Operational Linescan System](/earth-engine/datasets/catalog/NOAA_DMSP-OLS_CALIBRATED_LIGHTS_V4) |\n | 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 ... |\n | [dmsp](/earth-engine/datasets/tags/dmsp) [eog](/earth-engine/datasets/tags/eog) [imagery](/earth-engine/datasets/tags/imagery) [lights](/earth-engine/datasets/tags/lights) [nighttime](/earth-engine/datasets/tags/nighttime) [ols](/earth-engine/datasets/tags/ols) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System](/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS) |\n | 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 ... |\n | [dmsp](/earth-engine/datasets/tags/dmsp) [eog](/earth-engine/datasets/tags/eog) [imagery](/earth-engine/datasets/tags/imagery) [lights](/earth-engine/datasets/tags/lights) [nighttime](/earth-engine/datasets/tags/nighttime) [ols](/earth-engine/datasets/tags/ols) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VIIRS Nighttime Day/Night Annual Band Composites V2.1](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V21) |\n | 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 ... |\n | [annual](/earth-engine/datasets/tags/annual) [dnb](/earth-engine/datasets/tags/dnb) [eog](/earth-engine/datasets/tags/eog) [lights](/earth-engine/datasets/tags/lights) [nighttime](/earth-engine/datasets/tags/nighttime) [noaa](/earth-engine/datasets/tags/noaa) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VIIRS Nighttime Day/Night Annual Band Composites V2.2](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V22) |\n | 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 ... |\n | [annual](/earth-engine/datasets/tags/annual) [dnb](/earth-engine/datasets/tags/dnb) [eog](/earth-engine/datasets/tags/eog) [lights](/earth-engine/datasets/tags/lights) [nighttime](/earth-engine/datasets/tags/nighttime) [noaa](/earth-engine/datasets/tags/noaa) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VIIRS Nighttime Day/Night Band Composites Version 1](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMCFG) |\n | 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. ... |\n | [dnb](/earth-engine/datasets/tags/dnb) [eog](/earth-engine/datasets/tags/eog) [lights](/earth-engine/datasets/tags/lights) [monthly](/earth-engine/datasets/tags/monthly) [nighttime](/earth-engine/datasets/tags/nighttime) [noaa](/earth-engine/datasets/tags/noaa) |\n\n-\n\n |------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### VIIRS Stray Light Corrected Nighttime Day/Night Band Composites Version 1](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_MONTHLY_V1_VCMSLCFG) |\n | 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. ... |\n | [dnb](/earth-engine/datasets/tags/dnb) [eog](/earth-engine/datasets/tags/eog) [lights](/earth-engine/datasets/tags/lights) [monthly](/earth-engine/datasets/tags/monthly) [nighttime](/earth-engine/datasets/tags/nighttime) [noaa](/earth-engine/datasets/tags/noaa) |"]]