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.
대역
픽셀 크기 927.67미터
대역
이름
최소
최대
픽셀 크기
설명
avg_vis
0*
63*
미터
추가 필터링 없이 표시되는 밴드 디지털 번호 값의 평균입니다.
stable_lights
0*
63*
미터
정리된 avg_vis에는 도시, 마을, 가스 플레어를 비롯한 지속적인 조명이 있는 기타 사이트의 조명이 포함됩니다.
화재와 같은 일시적인 이벤트는 삭제되었습니다. 배경 소음이 식별되어 0 값으로 대체되었습니다.
cf_cvg
0*
126*
미터
구름이 없는 지역은 각 30초 호 그리드 셀에 포함된 총 관측 횟수를 집계합니다. 이 대역은 품질이 저하된 관측 횟수가 적은 영역을 식별하는 데 사용할 수 있습니다.
avg_lights_x_pct
0*
63*
미터
구름이 없는 빛 감지의 평균 가시 대역 디지털 번호 (DN)에 빛 감지 빈도 백분율을 곱한 값입니다.
감지 기간의 백분율을 포함하면 조명 지속성의 변화에 대한 결과 디지털 값이 정규화됩니다.
예를 들어 절반의 시간 동안만 감지된 조명의 값은 50% 할인됩니다. 이 제품에는 화재 감지와 다양한 양의 배경 소음이 포함되어 있습니다.
* 예상 최솟값 또는 최댓값
이용약관
이용약관
NOAA 데이터, 정보, 제품은 전송 방법에 관계없이 저작권이 적용되지 않으며 일반인의 후속 사용에 제한이 없습니다. 획득한 후에는 합법적인 용도로 사용할 수 있습니다. 위의 데이터는 퍼블릭 도메인에 속하며 사용 및 배포에 제한 없이 제공됩니다.
국방 기상 프로그램 (DMSP) 운영 라인 스캔 시스템 (OLS)은 야간에 가시광선 및 근적외선 (VNIR) 방출원을 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 구름이 없는 합성으로 구성됩니다. …
[null,null,[],[[["\u003cp\u003eThe NOAA/DMSP-OLS/NIGHTTIME_LIGHTS dataset provides nighttime light data, valuable for studying human activities and urbanization patterns.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset offers cloud-free, yearly composites of nighttime lights from 1992 to 2014, collected by the Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS).\u003c/p\u003e\n"],["\u003cp\u003eData includes average visible light, stable lights (persistent lighting sources), cloud-free coverage, and average light frequency.\u003c/p\u003e\n"],["\u003cp\u003eThe data is freely available for public use without restrictions, provided by NOAA's National Geophysical Data Center and the US Air Force Weather Agency.\u003c/p\u003e\n"],["\u003cp\u003eUsers can explore and analyze this dataset using Google Earth Engine, a platform for geospatial data analysis.\u003c/p\u003e\n"]]],["The NOAA's DMSP-OLS Nighttime Lights dataset, provided by the Earth Observation Group, spans 1992-2014. It contains cloud-free, yearly composites of visible and near-infrared emissions at night, processed from DMSP-OLS data. Key bands include `avg_vis` (average visible light), `stable_lights` (persistent light sources), `cf_cvg` (cloud-free coverage), and `avg_lights_x_pct` (light detection frequency). This data is in the public domain and available via Google Earth Engine for analysis and visualization.\n"],null,["# DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System\n\nDataset Availability\n: 1992-01-01T00:00:00Z--2014-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Earth Observation Group, Payne Institute for Public Policy, Colorado School of Mines](https://eogdata.mines.edu/dmsp/downloadV4composites.html)\n\nTags\n:\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) [population](/earth-engine/datasets/tags/population) [visible](/earth-engine/datasets/tags/visible) [yearly](/earth-engine/datasets/tags/yearly) \n\n#### Description\n\nThe Defense Meteorological Program (DMSP) Operational Line-Scan System\n(OLS) has a unique capability to detect visible and near-infrared (VNIR)\nemission sources at night.\n\nVersion 4 of the DMSP-OLS Nighttime Lights Time Series consists of\ncloud-free composites made using all the available archived DMSP-OLS smooth\nresolution data for calendar years. In cases where two satellites were\ncollecting data, two composites were produced.\n\nImage and data processing by NOAA's National Geophysical Data Center.\nDMSP data collected by US Air Force Weather Agency.\n\n### Bands\n\n\n**Pixel Size**\n\n927.67 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------------------|-----|-------|------------|----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `avg_vis` | 0\\* | 63\\* | meters | The average of the visible band digital number values with no further filtering. |\n| `stable_lights` | 0\\* | 63\\* | meters | The cleaned up avg_vis contains the lights from cities, towns, and other sites with persistent lighting, including gas flares. Ephemeral events, such as fires, have been discarded. The background noise was identified and replaced with values of zero. |\n| `cf_cvg` | 0\\* | 126\\* | meters | Cloud-free coverages tally the total number of observations that went into each 30-arc second grid cell. This band can be used to identify areas with low numbers of observations where the quality is reduced. |\n| `avg_lights_x_pct` | 0\\* | 63\\* | meters | The average visible band digital number (DN) of cloud-free light detections multiplied by the percent frequency of light detection. The inclusion of the percent frequency of detection term normalizes the resulting digital values for variations in the persistence of lighting. For instance, the value for a light only detected half the time is discounted by 50%. Note that this product contains detections from fires and a variable amount of background noise. |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nNOAA data, information, and products, regardless 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### 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/DMSP-OLS/NIGHTTIME_LIGHTS')\n .filter(ee.Filter.date('2010-01-01', '2010-12-31'));\nvar nighttimeLights = dataset.select('avg_vis');\nvar nighttimeLightsVis = {\n min: 3.0,\n max: 60.0,\n};\nMap.setCenter(7.82, 49.1, 4);\nMap.addLayer(nighttimeLights, nighttimeLightsVis, 'Nighttime Lights');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/NOAA/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS) \n[DMSP OLS: Nighttime Lights Time Series Version 4, Defense Meteorological Program Operational Linescan System](/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS) \nThe 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 ... \nNOAA/DMSP-OLS/NIGHTTIME_LIGHTS, dmsp,eog,imagery,lights,nighttime,ols,population,visible,yearly \n1992-01-01T00:00:00Z/2014-01-01T00:00:00Z \n-65 -180 75 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://eogdata.mines.edu/dmsp/downloadV4composites.html)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS)"]]
