Kumpulan data Lampu Malam yang Konsisten dan Dikoreksi (CCNL) adalah
versi yang diproses ulang dari Defense Meteorological Program (DMSP)
Operational Line-Scan System (OLS) Versi 4.
Serangkaian metode digunakan untuk memitigasi dampak inkonsistensi, saturasi, dan efek blooming antar-tahunan serta meningkatkan kualitas data.
CCNL Versi 1 mencakup seluruh dunia dari 75N hingga 65S dan memiliki ukuran piksel 1 km.
Zhao,Chenchen, Cao,Xin, Chen,Xuehong, & Cui,Xihong. (2020). Dataset Cahaya Malam yang Konsisten dan Dikoreksi (CCNL 1992-2013) dari data DMSP-OLS (Versi 1.0) [Set data]. Zenodo. https://doi.org/10.5281/zenodo.6644980
Kumpulan data Consistent and Corrected Nighttime Lights (CCNL) adalah versi yang diproses ulang dari Defense Meteorological Program (DMSP) Operational Line-Scan System (OLS) Versi 4. Serangkaian metode digunakan untuk memitigasi dampak inkonsistensi antar-tahunan, saturasi, dan efek blooming serta untuk meningkatkan kualitas data. CCNL Versi 1 mencakup …
[null,null,[],[[["\u003cp\u003eThe Consistent and Corrected Nighttime Lights (CCNL) dataset provides nighttime light intensity data from 1992 to 2013, derived from the DMSP-OLS satellite.\u003c/p\u003e\n"],["\u003cp\u003eThis dataset has been reprocessed to address inconsistencies, saturation, and blooming effects present in the original DMSP-OLS data, resulting in improved data quality.\u003c/p\u003e\n"],["\u003cp\u003eCCNL Version 1 offers global coverage from 75°N to 65°S with a 1km spatial resolution.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is available through Google Earth Engine and is licensed under CC-BY-4.0.\u003c/p\u003e\n"],["\u003cp\u003eCCNL data is valuable for various applications, including studying urbanization, economic activity, and light pollution.\u003c/p\u003e\n"]]],["The Consistent and Corrected Nighttime Lights (CCNL) dataset, provided by Beijing Normal University, spans from 1992 to 2014, offering yearly data. It is a reprocessed version of the DMSP-OLS dataset, addressing inconsistencies, saturation, and blooming. The dataset, available on Google Earth Engine via the snippet `ee.ImageCollection(\"BNU/FGS/CCNL/v1\")`, covers 75N to 65S with 1km pixel size. It features a corrected nighttime light intensity band (`b1`) and is licensed under CC-BY-4.0.\n"],null,["# CCNL: Consistent and Corrected Nighttime Light Dataset from DMSP-OLS (1992-2013) v1\n\nDataset Availability\n: 1992-01-01T00:00:00Z--2014-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Beijing Normal University](https://doi.org/10.5281/zenodo.6644980)\n\nCadence\n: 1 Year\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) \nbnu \n\n#### Description\n\nThe Consistent and Corrected Nighttime Lights (CCNL) dataset is\na reprocessed version of the [Defense Meteorological Program (DMSP)\nOperational Line-Scan System (OLS) Version 4](/earth-engine/datasets/catalog/NOAA_DMSP-OLS_NIGHTTIME_LIGHTS).\nA series of methods was used to mitigate the impact of inter-annual\ninconsistency, saturation, and blooming effects and to improve data quality.\n\nCCNL Version 1 spans the globe from 75N to 65S and has 1 km pixel size.\n\n### Bands\n\n\n**Pixel Size**\n\n1000 meters\n\n**Bands**\n\n| Name | Pixel Size | Description |\n|------|------------|--------------------------------------|\n| `b1` | meters | Corrected nighttime light intensity. |\n\n### Terms of Use\n\n**Terms of Use**\n\n[CC-BY-4.0](https://spdx.org/licenses/CC-BY-4.0.html)\n\n### Citations\n\nCitations:\n\n- Zhao,Chenchen, Cao,Xin, Chen,Xuehong, \\& Cui,Xihong. (2020). A Consistent\n and Corrected Nighttime Light dataset (CCNL 1992-2013) from DMSP-OLS data\n (Version 1.0) \\[Data set\\]. Zenodo. https://doi.org/10.5281/zenodo.6644980\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('BNU/FGS/CCNL/v1')\n .filter(ee.Filter.date('2010-01-01', '2010-12-31'));\nvar nighttimeLights = dataset.select('b1');\nvar nighttimeLightsVis = {\n min: 3.0,\n max: 60.0,\n};\nMap.setCenter(31.4, 30, 6);\nMap.addLayer(nighttimeLights, nighttimeLightsVis, 'Nighttime Lights');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/BNU/BNU_FGS_CCNL_v1) \n[CCNL: Consistent and Corrected Nighttime Light Dataset from DMSP-OLS (1992-2013) v1](/earth-engine/datasets/catalog/BNU_FGS_CCNL_v1) \nThe 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 quality. CCNL Version 1 spans ... \nBNU/FGS/CCNL/v1, 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://doi.org/10.5281/zenodo.6644980)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/BNU_FGS_CCNL_v1)"]]
