MODIS veri kümesi MCD64A1'e dayalı yangın sınırları. Veriler, yanmış alanlardaki yamalar arasındaki uzay-zaman ilişkisini bir grafik yapısında kodlamaya dayanan bir algoritmaya göre hesaplanmıştır.
Her yangının, etkinliği tanımlayan benzersiz bir numarası vardır.
Tablo Şeması
Tablo Şeması
Ad
Tür
Açıklama
alan
ÇİFT
Yangın alanı, metrekare
FinalDate
MÜD
1970-01-01 tarihinden itibaren milisaniye cinsinden son yayın tarihi
Kimlik
MÜD
Yangının sayısal kimliği
InitialDate
MÜD
1 Ocak 1970'ten beri geçen milisaniye cinsinden ilk yayın tarihi
Artés, T., Oom, D., De Rigo, D., Durrant, T. H., Maianti, P., Libertà, G., &
San-Miguel-Ayanz, J. (2019). Yangın rejimlerinin ve yangın davranışlarının analizi için küresel bir orman yangını veri kümesi. Scientific data, 6(1), 1-11.
doi:10.1038/s41597-019-0312-2
MODIS veri kümesi MCD64A1'e dayalı yangın sınırları. Veriler, yanmış alanların yamaları arasındaki uzay-zaman ilişkisini bir grafik yapısında kodlamaya dayanan bir algoritma temel alınarak hesaplanmıştır. Her yangının, etkinliği tanımlayan benzersiz bir numarası vardır.
[null,null,[],[[["\u003cp\u003eThis dataset provides fire boundaries derived from the MODIS MCD64A1 dataset, covering the period from 2001 to 2021.\u003c/p\u003e\n"],["\u003cp\u003eFire boundaries are determined using an algorithm that analyzes space-time relationships among burned areas, with each fire assigned a unique ID.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset includes information on fire area, initial and final fire dates, and is available as a feature collection in Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003eThe data is provided by the European Commission, Joint Research Centre, Global Wildfire Information System and is licensed under CC-BY-4.0.\u003c/p\u003e\n"]]],[],null,["# GlobFire Final Fire Event Detection Based on MCD64A1\n\nDataset Availability\n: 2001-01-01T00:00:00Z--2021-01-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [European Commission, Joint Research Centre, Global Wildfire Information System](https://doi.org/10.1038/s41597-019-0312-2)\n\nTags\n:\n[area](/earth-engine/datasets/tags/area) [burnt](/earth-engine/datasets/tags/burnt) [disaster](/earth-engine/datasets/tags/disaster) [fire](/earth-engine/datasets/tags/fire) [globfire](/earth-engine/datasets/tags/globfire) [mcd64a1](/earth-engine/datasets/tags/mcd64a1) [modis-derived](/earth-engine/datasets/tags/modis-derived) [table](/earth-engine/datasets/tags/table) [wildfire](/earth-engine/datasets/tags/wildfire) \n\n#### Description\n\nFire boundaries based on the MODIS dataset MCD64A1. The data were computed\nbased on an algorithm that relies on encoding in a graph structure\na space-time relationship among patches of burned areas.\n\nEach fire has a unique number identifying the event.\n\n### Table Schema\n\n**Table Schema**\n\n| Name | Type | Description |\n|-------------|--------|----------------------------------------------------|\n| area | DOUBLE | Fire area, square meters |\n| FinalDate | INT | Final fire date in milliseconds since 1970-01-01 |\n| Id | INT | Numeric id of the fire |\n| InitialDate | INT | Initial fire date in milliseconds since 1970-01-01 |\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- Artés, T., Oom, D., De Rigo, D., Durrant, T. H., Maianti, P., Libertà, G., \\&\n San-Miguel-Ayanz, J. (2019). A global wildfire dataset for the analysis of\n fire regimes and fire behaviour. Scientific data, 6(1), 1-11.\n [doi:10.1038/s41597-019-0312-2](https://doi.org/10.1038/s41597-019-0312-2)\n\n### DOIs\n\n- \u003chttps://doi.org/10.1038/s41597-019-0312-2\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.FeatureCollection('JRC/GWIS/GlobFire/v2/FinalPerimeters');\nvar visParams = {\n palette: ['f5ff64', 'b5ffb4', 'beeaff', 'ffc0e8', '8e8dff', 'adadad'],\n min: 0,\n max: 600000000,\n opacity: 0.8,\n};\nvar image = ee.Image().float().paint(dataset, 'area');\nMap.addLayer(image, visParams, 'GlobFire Final');\nMap.addLayer(dataset, null, 'for Inspector', false);\nMap.setCenter(-122.121, 38.56, 12);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/JRC/JRC_GWIS_GlobFire_v2_FinalPerimeters) \n[GlobFire Final Fire Event Detection Based on MCD64A1](/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_FinalPerimeters) \nFire boundaries based on the MODIS dataset MCD64A1. The data were computed based on an algorithm that relies on encoding in a graph structure a space-time relationship among patches of burned areas. Each fire has a unique number identifying the event. \nJRC/GWIS/GlobFire/v2/FinalPerimeters, area,burnt,disaster,fire,globfire,mcd64a1,modis-derived,table,wildfire \n2001-01-01T00:00:00Z/2021-01-01T00:00:00Z \n-90 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.1038/s41597-019-0312-2](https://doi.org/https://doi.org/10.1038/s41597-019-0312-2)\n- [https://doi.org/10.1038/s41597-019-0312-2](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/JRC_GWIS_GlobFire_v2_FinalPerimeters)"]]
