LandScan High Definition (HD) bietet geschätzte Bevölkerungszahlen in einem Raster mit einer Auflösung von 3 Bogensekunden (ca. 100 m). Die Werte für jede LandScan HD-Zelle stellen eine Schätzung der Bevölkerungszahl im Umfeld (d.h. Durchschnitt über 24 Stunden) dar. So werden nicht nur Wohnorte, sondern alle potenziellen Aktivitäten von Personen im Laufe des Tages und der Nacht erfasst. Das LandScan HD-Modell enthält aktuelle Daten zur Landnutzung und Infrastruktur aus verschiedenen Quellen, wendet Schätzungen zur Belegung von Einrichtungen aus dem PDT-Projekt (Population Density Tables) von ORNL an und nutzt neuartige Bildverarbeitungsalgorithmen, die bei ORNL entwickelt wurden, um Gebäudestrukturen und Stadtteile mithilfe von Hochleistungs-Computing-Umgebungen schnell zu kartieren.
Die Quelle für die subnationalen Bevölkerungszahlen, die bei der Entwicklung dieser Daten verwendet wurden, ist der State Statistics Service of Ukraine.
Diese subnationalen Schätzungen wurden an die Gesamtbevölkerung des Landes angepasst, die im CIA World Factbook angegeben ist.
Bänder
Pixelgröße 100 Meter
Bänder
Name
Min.
Max.
Pixelgröße
Beschreibung
population
0*
1.020*
Meter
Geschätzte durchschnittliche Bevölkerungszahl über 24 Stunden
* geschätzter Mindest- oder Höchstwert
Nutzungsbedingungen
Nutzungsbedingungen
Dieser Datensatz ist unter der Lizenz CC-BY 4.0 lizenziert.
LandScan High Definition (HD) bietet geschätzte Bevölkerungszahlen in einem Raster mit einer Auflösung von 3 Bogensekunden (ca. 100 m). Die Werte für jede LandScan HD-Zelle stellen eine Schätzung der Bevölkerungszahl in der Umgebung (d.h. den 24-Stunden-Durchschnitt) dar. So werden die Daten über den gesamten Tag und die ganze Nacht hinweg erfasst …
[null,null,[],[[["\u003cp\u003eThis dataset provides gridded population estimates for Ukraine at ~100m resolution for January 2022.\u003c/p\u003e\n"],["\u003cp\u003ePopulation estimates represent a 24-hour average, reflecting potential activity space rather than just residential locations.\u003c/p\u003e\n"],["\u003cp\u003eLandScan HD utilizes land use, infrastructure data, and novel image processing algorithms to generate these estimates.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is licensed under CC-BY 4.0 and is available for exploration within Google Earth Engine.\u003c/p\u003e\n"],["\u003cp\u003ePopulation counts were derived from the State Statistics Service of Ukraine and the CIA World Factbook.\u003c/p\u003e\n"]]],["The LandScan High Definition (HD) dataset from Oak Ridge National Laboratory offers gridded population estimates for Ukraine, captured in January 2022. This data provides a 24-hour average population count at a 100-meter resolution. The dataset, available through Google Earth Engine, uses subnational population data from Ukraine's State Statistics Service, adjusted to match the CIA World Factbook's total population count. Users can access and visualize this dataset, which is licensed under CC-BY 4.0, using Earth Engine's code editor.\n"],null,["# LandScan High Definition Data for Ukraine, January 2022\n\nDataset Availability\n: 2022-01-01T00:00:00Z--2022-02-01T00:00:00Z\n\nDataset Provider\n:\n\n\n [Oak Ridge National Laboratory](https://landscan.ornl.gov/ukraine-landscan-hd-data)\n\nTags\n:\n [landscan](/earth-engine/datasets/tags/landscan) [population](/earth-engine/datasets/tags/population) \nukraine \n\n#### Description\n\n[LandScan High Definition (HD)](https://landscan.ornl.gov)\nprovides gridded population estimates at 3\narc-second (\\~100m) resolution. Values for each LandScan HD cell represent an\nambient (i.e. 24 hour average) population count estimate. In this way, the\ndata capture the full potential activity space of people throughout the\ncourse of the day and night rather than just a residential location. The\nLandScan HD model incorporates current land use and infrastructure data from\na variety of sources, applies facility occupancy estimates from ORNL's\nPopulation Density Tables (PDT) project, and leverages novel image\nprocessing algorithms developed at ORNL to rapidly map building\nstructures and neighborhood areas using high-performance computing\nenvironments.\n\nThe source for subnational population counts used in the development of this\ndata comes from\n[State Statistics Service of Ukraine](https://ukrstat.org/en/operativ/operativ2021/ds/kn/arh_kn2021_e.html).\n\nThese subnational estimates were adjusted to the country total population\nprovided by the\n[CIA World Factbook](https://www.cia.gov/the-world-factbook/countries/ukraine/#people-and-society).\n\n### Bands\n\n\n**Pixel Size**\n\n100 meters\n\n**Bands**\n\n| Name | Min | Max | Pixel Size | Description |\n|--------------|-----|--------|------------|-------------------------------------------|\n| `population` | 0\\* | 1020\\* | meters | 24 hour average population count estimate |\n\n\\* estimated min or max value\n\n### Terms of Use\n\n**Terms of Use**\n\nThis dataset is licensed under\n[CC-BY 4.0](https://creativecommons.org/licenses/by/4.0/).'\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.Image('DOE/ORNL/LandScan_HD/Ukraine_202201');\nvar vis = {\n min: 0.0,\n max: 10.0,\n palette: ['lemonchiffon', 'khaki', 'orange', 'orangered', 'red', 'maroon'],\n};\nMap.centerObject(dataset);\nMap.addLayer(dataset, vis, 'Population Count');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/DOE/DOE_ORNL_LandScan_HD_Ukraine_202201) \n[LandScan High Definition Data for Ukraine, January 2022](/earth-engine/datasets/catalog/DOE_ORNL_LandScan_HD_Ukraine_202201) \nLandScan High Definition (HD) provides gridded population estimates at 3 arc-second (\\~100m) resolution. Values for each LandScan HD cell represent an ambient (i.e. 24 hour average) population count estimate. In this way, the data capture the full potential activity space of people throughout the course of the day and night ... \nDOE/ORNL/LandScan_HD/Ukraine_202201, landscan,population \n2022-01-01T00:00:00Z/2022-02-01T00:00:00Z \n44.175 22.125 52.4 40.225 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [](https://doi.org/https://landscan.ornl.gov/ukraine-landscan-hd-data)\n- [](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/DOE_ORNL_LandScan_HD_Ukraine_202201)"]]
