연간 글로벌 VIIRS 야간 조명 데이터 세트는 2022년의 월별 클라우드 없는 평균 복사열 그리드에서 생성된 시계열입니다. 이전 연도의 데이터는 NOAA/VIIRS/DNB/ANNUAL_V21 데이터 세트에서 확인할 수 있습니다.
초기 필터링 단계에서 햇빛, 달빛, 구름이 있는 픽셀이 삭제되어 빛, 불, 오로라, 배경이 포함된 대략적인 컴포지트가 생성되었습니다. 대략적인 연간 컴포지트는 월별 증분으로 만들어진 후 결합되어 대략적인 연간 컴포지트를 형성합니다.
후속 단계에서는 12개월 중간 복사휘도를 사용하여 높거나 낮은 복사휘도 이상치를 삭제하고 대부분의 화재를 필터링하고 배경을 분리합니다. 배경 영역은 3x3 그리드 셀에서 계산된 데이터 범위 (DR)를 사용하여 0으로 설정됩니다. 백그라운드의 DR 기준점은 클라우드 커버리지 수준에 따라 색인이 생성되며, 클라우드 커버리지가 없는 영역의 수가 적을수록 DR 기준점이 높아집니다.
대역
픽셀 크기 463.83미터
대역
이름
단위
픽셀 크기
설명
average
nanoWatts/sr/cm^2
미터
평균 DNB 복사 휘도 값입니다.
average_masked
nanoWatts/sr/cm^2
미터
평균 마스크 처리된 DNB 복사휘도 값
cf_cvg
미터
구름이 없는 커버리지입니다. 각 픽셀에 사용된 총 관측 횟수입니다. 이 대역은 품질이 저하된 관측 횟수가 적은 영역을 식별하는 데 사용할 수 있습니다.
cvg
미터
햇빛과 달빛이 없는 총 관측 횟수입니다.
maximum
nanoWatts/sr/cm^2
미터
최대 DNB 복사 휘도 값입니다.
median
nanoWatts/sr/cm^2
미터
중앙 DNB 복사휘도 값
median_masked
nanoWatts/sr/cm^2
미터
마스킹된 DNB 복사휘도 값의 중앙값입니다.
minimum
nanoWatts/sr/cm^2
미터
최소 DNB 복사휘도 값
이용약관
이용약관
콜로라도 광산 대학의 데이터, 정보, 제품은 전달 방법에 관계없이 저작권의 적용을 받지 않으며 일반인의 후속 사용에 제한이 없습니다. 획득한 후에는 합법적인 용도로 사용할 수 있습니다. 위의 데이터는 퍼블릭 도메인에 속하며 사용 및 배포에 제한 없이 제공됩니다.
인용
인용:
Elvidge, C.D, Zhizhin, M., Ghosh T., Hsu FC, Taneja J. 월별 평균에서 파생된 전 세계 VIIRS 야간 조명의 연간 시계열:2012~2019년
Remote Sensing 2021, 13(5), p.922, doi:10.3390/rs13050922
doi:10.3390/rs13050922
연간 글로벌 VIIRS 야간 조명 데이터 세트는 2022년의 월별 클라우드 없는 평균 복사 휘도 그리드에서 생성된 시계열입니다. 이전 연도의 데이터는 NOAA/VIIRS/DNB/ANNUAL_V21 데이터 세트에서 확인할 수 있습니다. 초기 필터링 단계에서 햇빛, 달빛, 구름이 있는 픽셀이 삭제되어 빛, 불, 오로라, 배경이 포함된 대략적인 컴포지트가 생성되었습니다. …
[null,null,[],[[["\u003cp\u003eThe NOAA/VIIRS/DNB/ANNUAL_V22 dataset provides annual global VIIRS nighttime lights data from monthly cloud-free average radiance grids for 2022.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes bands representing average, masked, cloud-free coverages, total observations, maximum, median, and minimum DNB radiance values.\u003c/p\u003e\n"],["\u003cp\u003eData is freely available for public use with no restrictions, provided by the Colorado School of Mines.\u003c/p\u003e\n"],["\u003cp\u003ePrevious years' data (before 2022) can be accessed through the NOAA/VIIRS/DNB/ANNUAL_V21 dataset.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset utilizes filtering to remove sunlit, moonlit, and cloudy pixels, minimizing the influence of fires and aurorae on light measurements.\u003c/p\u003e\n"]]],["The annual VIIRS nighttime lights dataset, provided by the Colorado School of Mines, spans from April 1, 2012, to January 1, 2023. The dataset is derived from monthly, cloud-free radiance grids. Data processing involves filtering out sunlit, moonlit, and cloudy pixels, followed by median radiance analysis to eliminate outliers like fires. Background areas are then zeroed out. The dataset includes bands like 'average,' 'maximum,' 'minimum,' and 'median' radiance, along with cloud-free coverage data, it's available in the Earth Engine platform.\n"],null,["# VIIRS Nighttime Day/Night Annual Band Composites V2.2\n\nDataset Availability\n: 2012-04-01T00:00:00Z--2024-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines](https://eogdata.mines.edu/products/vnl/#annual_v2)\n\nCadence\n: 1 Year\n\nTags\n:\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) [population](/earth-engine/datasets/tags/population) [viirs](/earth-engine/datasets/tags/viirs) [visible](/earth-engine/datasets/tags/visible) \n\n#### Description\n\nAnnual global VIIRS nighttime lights dataset is a time series produced from\nmonthly cloud-free average radiance grids for 2022. Data for earlier\nyears are available in the\n[NOAA/VIIRS/DNB/ANNUAL_V21](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V21) dataset.\n\nAn initial filtering step removed sunlit, moonlit and cloudy pixels,\nleading to rough composites that contains lights, fires, aurora and\nbackground. The rough annual composites are made on monthly increments and\nthen combined to form rough annual composites.\n\nThe subsequent steps uses the twelve-month median radiance to discard high\nand low radiance outliers, filtering out most fires and isolating the\nbackground. Background areas are zeroed out using the data range (DR)\ncalculated from 3x3 grid cells. The DR threshold for background is indexed\nto cloud-cover levels, with higher DR thresholds in areas having low numbers\nof cloud-free coverages.\n\n### Bands\n\n\n**Pixel Size**\n\n463.83 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|------------------|--------------------|------------|------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `average` | nanoWatts/sr/cm\\^2 | meters | Average DNB radiance values. |\n| `average_masked` | nanoWatts/sr/cm\\^2 | meters | Average Masked DNB radiance values |\n| `cf_cvg` | | meters | Cloud-free coverages; the total number of observations that went into each pixel. This band can be used to identify areas with low numbers of observations where the quality is reduced. |\n| `cvg` | | meters | Total number of observations free of sunlight and moonlight. |\n| `maximum` | nanoWatts/sr/cm\\^2 | meters | Maximum DNB radiance values. |\n| `median` | nanoWatts/sr/cm\\^2 | meters | Median DNB radiance values |\n| `median_masked` | nanoWatts/sr/cm\\^2 | meters | Median masked DNB radiance values. |\n| `minimum` | nanoWatts/sr/cm\\^2 | meters | Minimum DNB radiance values |\n\n### Terms of Use\n\n**Terms of Use**\n\nColorado School of Mines data, information, and products,\nregardless of the method of delivery,\nare not subject to copyright and carry no restrictions on their subsequent\nuse by the public. Once obtained, they may be put to any lawful use. The\nforgoing data is in the public domain and is being provided without\nrestriction on use and distribution.\n\n### Citations\n\nCitations:\n\n- Elvidge, C.D, Zhizhin, M., Ghosh T., Hsu FC, Taneja J. Annual time series of\n global VIIRS nighttime lights derived from monthly averages:2012 to 2019.\n Remote Sensing 2021, 13(5), p.922, doi:10.3390/rs13050922\n [doi:10.3390/rs13050922](https://doi.org/10.3390/rs13050922)\n\n### DOIs\n\n- \u003chttps://doi.org/10.3390/rs13050922\u003e\n\n### Explore with Earth Engine\n\n| **Important:** Earth Engine is a platform for petabyte-scale scientific analysis and visualization of geospatial datasets, both for public benefit and for business and government users. Earth Engine is free to use for research, education, and nonprofit use. To get started, please [register for Earth Engine access.](https://console.cloud.google.com/earth-engine)\n\n### Code Editor (JavaScript)\n\n```javascript\nvar dataset = ee.ImageCollection('NOAA/VIIRS/DNB/ANNUAL_V22')\n .filter(ee.Filter.date('2022-01-01', '2023-01-01'));\n\nvar nighttime = dataset.select('maximum');\nvar nighttimeVis = {min: 0.0, max: 60.0};\nMap.setCenter(-77.1056, 38.8904, 8);\nMap.addLayer(nighttime, nighttimeVis, 'Nighttime');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NOAA/NOAA_VIIRS_DNB_ANNUAL_V22) \n[VIIRS Nighttime Day/Night Annual Band Composites V2.2](/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V22) \nAnnual 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 lights, fires, aurora and background. ... \nNOAA/VIIRS/DNB/ANNUAL_V22, annual,dnb,eog,lights,nighttime,noaa,population,viirs,visible \n2012-04-01T00:00:00Z/2024-01-01T00:00:00Z \n-65 -180 75 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.3390/rs13050922](https://doi.org/https://eogdata.mines.edu/products/vnl/#annual_v2)\n- [https://doi.org/10.3390/rs13050922](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NOAA_VIIRS_DNB_ANNUAL_V22)"]]
