การใช้ข้อมูล PGC ใน Earth Engine หมายความว่าผู้ใช้ยอมรับที่จะอ้างอิง PGC
และการสนับสนุนของ NSF แหล่งที่มาดั้งเดิมของข้อมูลบุคคลที่สามที่ PGC จัดหาให้ต้องมีการระบุแหล่งที่มาอย่างถูกต้องด้วย
[null,null,[],[[["\u003cp\u003eArcticDEM provides a high-resolution (2m) digital surface model (DSM) of the Arctic, including vegetation, buildings, and other surface features.\u003c/p\u003e\n"],["\u003cp\u003eIt is created from optical stereo imagery using high-performance computing and open source photogrammetry software.\u003c/p\u003e\n"],["\u003cp\u003eThe dataset is a collection of strips covering the Arctic region from 2009 to 2017, with varying dimensions depending on the satellite sensor and collection angle.\u003c/p\u003e\n"],["\u003cp\u003eUsers must acknowledge NSF support and cite PGC when using this data, as per the terms of use.\u003c/p\u003e\n"],["\u003cp\u003eData can be explored and analyzed using Google Earth Engine, a platform for scientific analysis and visualization of geospatial datasets.\u003c/p\u003e\n"]]],["The ArcticDEM dataset, provided by the University of Minnesota Polar Geospatial Center, offers a high-resolution digital surface model (DSM) of the Arctic from 2009 to 2017. Utilizing stereo imagery and photogrammetry, it captures surface features with a 2-meter pixel size. Data is in strips and includes elevation data and a matchtag for pixel processing information. The dataset, accessible via Google Earth Engine, requires NSF acknowledgment and appropriate citations for use.\n"],null,["# ArcticDEM Strips\n\nDataset Availability\n: 2009-08-16T00:00:00Z--2017-03-12T00:00:00Z\n\nDataset Provider\n:\n\n\n [University of Minnesota Polar Geospatial Center](https://www.pgc.umn.edu/data/arcticdem/)\n\nTags\n:\n[arctic](/earth-engine/datasets/tags/arctic) [dem](/earth-engine/datasets/tags/dem) [elevation-topography](/earth-engine/datasets/tags/elevation-topography) [geophysical](/earth-engine/datasets/tags/geophysical) [pgc](/earth-engine/datasets/tags/pgc) [umn](/earth-engine/datasets/tags/umn) \n\n#### Description\n\nArcticDEM is a National Geospatial-Intelligence Agency (NGA) and National\nScience Foundation (NSF) public-private initiative to automatically produce\na high-resolution, high-quality digital surface model (DSM) of the Arctic\nusing optical stereo imagery, high-performance computing, and open source\nphotogrammetry software. It includes vegetation, tree canopy, buildings, and\nother man-made surface features. The 2m asset is a collection of strips rather\nthan a single mosaic due to projection differences between strips.\n\nStrip DEM files correspond to the overlapping area of the input stereopair\nimage swaths as they are collected by DigitalGlobe's constellation of\npolar-orbiting satellites. Strip DEM dimensions will vary according to the\nsatellite sensor that acquired the images and the off-nadir angle of\ncollection. Most strips are between 16km and 18km in width, and 110km and\n120km in length.\n\n### Bands\n\n\n**Pixel Size**\n\n2 meters\n\n**Bands**\n\n| Name | Units | Pixel Size | Description |\n|-------------|-------|------------|-------------------------------------------------|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|\n| `elevation` | m | meters | Elevation |\n| `matchtag` | | meters | Bitmask raster indicating DEM pixels processing |\n| Bitmask for matchtag - Bit 0: Pixel processing - 0: Pixels have been interpolated - 1: Pixels are derived from a stereo match ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||\n\n### Terms of Use\n\n**Terms of Use**\n\nNational Science Foundation (PGC's primary funding source) policy requires\nresearchers to acknowledge NSF support in all publications, web pages, and\nmedia interviews.\n\nBy using PGC data in Earth Engine, users agree to cite PGC\nand its sponsorship by the NSF. The original source of any third-party data\nsupplied by PGC must also be properly attributed.\n\nFor more information see the PGC's\n[Acknowledgement Policy](https://www.pgc.umn.edu/guides/user-services/acknowledgement-policy/).\n\n### Citations\n\nCitations:\n\n- DEM(s) created by the Polar Geospatial Center from DigitalGlobe, Inc. imagery.\n Porter, Claire; Morin, Paul; Howat, Ian; Noh, Myoung-Jon; Bates, Brian;\n Peterman, Kenneth; Keesey, Scott; Schlenk, Matthew; Gardiner, Judith;\n Tomko, Karen; Willis, Michael; Kelleher, Cole; Cloutier, Michael; Husby, Eric;\n Foga, Steven; Nakamura, Hitomi; Platson, Melisa; Wethington, Michael, Jr.;\n Williamson, Cathleen; Bauer, Gregory; Enos, Jeremy; Arnold, Galen; Kramer, William;\n Becker, Peter; Doshi, Abhijit; D'Souza, Cristelle; Cummens, Pat; Laurier, Fabien;\n Bojesen, Mikkel, 2018, ArcticDEM, Harvard Dataverse, V1, \\[Date Accessed\\].\n\n### DOIs\n\n- \u003chttps://doi.org/10.7910/DVN/OHHUKH\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('UMN/PGC/ArcticDEM/V3/2m');\nvar elevation = dataset.select('elevation');\nvar elevationVis = {\n min: -50.0,\n max: 1000.0,\n palette: ['0d13d8', '60e1ff', 'ffffff'],\n};\nMap.setCenter(-63.402, 66.368, 7);\nMap.addLayer(elevation, elevationVis, 'Elevation');\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UMN/UMN_PGC_ArcticDEM_V3_2m) \n[ArcticDEM Strips](/earth-engine/datasets/catalog/UMN_PGC_ArcticDEM_V3_2m) \nArcticDEM is a National Geospatial-Intelligence Agency (NGA) and National Science Foundation (NSF) public-private initiative to automatically produce a high-resolution, high-quality digital surface model (DSM) of the Arctic using optical stereo imagery, high-performance computing, and open source photogrammetry software. It includes vegetation, tree canopy, buildings, and other man-made surface features. The ... \nUMN/PGC/ArcticDEM/V3/2m, arctic,dem,elevation-topography,geophysical,pgc,umn \n2009-08-16T00:00:00Z/2017-03-12T00:00:00Z \n50 -180 90 180 \nGoogle Earth Engine \nhttps://developers.google.com/earth-engine/datasets\n\n- [https://doi.org/10.7910/DVN/OHHUKH](https://doi.org/https://www.pgc.umn.edu/data/arcticdem/)\n- [https://doi.org/10.7910/DVN/OHHUKH](https://doi.org/https://developers.google.com/earth-engine/datasets/catalog/UMN_PGC_ArcticDEM_V3_2m)"]]
