ไฟล์ DEM แบบโมเสกได้รับการรวบรวมจากไฟล์ DEM แถบคุณภาพดีที่สุด
ซึ่งได้รับการผสมและปรับขอบเพื่อลดพื้นที่ว่างและสิ่งประดิษฐ์ที่เกิดจากการจับคู่ขอบ
เราได้ใช้ข้อมูลการวัดความสูงจากดาวเทียม IceSAT ที่กรองแล้วกับไฟล์แรสเตอร์
เพื่อปรับปรุงความแม่นยำสัมบูรณ์
การใช้ข้อมูล PGC ใน Earth Engine หมายความว่าผู้ใช้ยอมรับที่จะอ้างอิง PGC
และการสนับสนุนของ NSF แหล่งที่มาดั้งเดิมของข้อมูลบุคคลที่สามที่ PGC จัดหาให้ต้องมีการระบุแหล่งที่มาอย่างถูกต้องด้วย
[null,null,[],[],[],null,["# ArcticDEM Mosaic V4.1\n\nDataset Availability\n: 2012-06-03T00:00:00Z--2020-09-03T23:59:59Z\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\nMosaicked DEM files are compiled from the best quality strip DEM files\nwhich have been blended and feathered to reduce void areas and edge-matching\nartifacts. Filtered IceSAT altimetry data has been applied to the raster\nfiles to improve absolute accuracy.\n\nThese version (V4.1) mosaics include additional raster bands:\n'count', 'mad','mindate', and 'maxdate' to provide\ninformation on data provenance and uncertainty.\n\n### Bands\n\n\n**Pixel Size**\n\n2 meters\n\n**Bands**\n\n| Name | Units | Min | Max | Pixel Size | Description |\n|-------------|-------|-----------|-----------|------------|-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n| `elevation` | m | -416.45\\* | 5971.24\\* | meters | Elevation |\n| `count` | | | | meters | Number of source DEMs used to calculate the elevation value at that pixel. |\n| `mad` | m | | | meters | Median absolute deviation of the stack of source datasets from the median elevation value. |\n| `mindate` | | | | meters | Earliest date of the source DEMs used to build the mosaic, as the number of days since January 1, 2000. |\n| `maxdate` | | | | meters | Latest date of the source DEMs used to build the mosaic, as the number of days since January 1, 2000. |\n| `datamask` | | | | meters | Data mask indicates whether the elevation was 0 or 1. where 0 indicates , Filled/merged with another dataset or masked out as NoData in quality control steps. 1 indicates output by SETSM, the Ohio State University's Surface Extraction with TIN-based Search-space Minimization software package. |\n\n\\* estimated min or max value\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.Image('UMN/PGC/ArcticDEM/V4/2m_mosaic');\n\nvar elevationVis = {\n min: -50.0,\n max: 1000.0,\n palette: ['0d13d8', '60e1ff', 'ffffff'],\n bands: ['elevation'],\n};\n\nvar countVis = {\n min: 0,\n max: 10,\n palette: [\n 'black',\n 'blue',\n 'purple',\n 'cyan',\n 'green',\n 'yellow',\n 'red',\n ],\n bands: ['count'],\n};\n\nvar madVis = {\n min: 0,\n max: 50,\n palette: [\n '006633',\n 'E69800',\n 'D4E157',\n 'FFF59D',\n ],\n bands: ['mad'],\n};\n\nvar datamaskVis = {\n min: 0,\n max: 1,\n palette: [\n 'black',\n 'white',\n ],\n bands: ['datamask'],\n};\n\nMap.setCenter(-63.402, 66.368, 7);\n\nMap.addLayer(dataset, elevationVis, 'Elevation', true);\nMap.addLayer(dataset, countVis, 'Data Count', false);\nMap.addLayer(dataset, madVis, 'MAD', false);\nMap.addLayer(dataset, datamaskVis, 'Data Mask', false);\n```\n[Open in Code Editor](https://code.earthengine.google.com/?scriptPath=Examples:Datasets/UMN/UMN_PGC_ArcticDEM_V4_2m_mosaic) \n[ArcticDEM Mosaic V4.1](/earth-engine/datasets/catalog/UMN_PGC_ArcticDEM_V4_2m_mosaic) \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/V4/2m_mosaic, arctic,dem,elevation-topography,geophysical,pgc,umn \n2012-06-03T00:00:00Z/2020-09-03T23:59:59Z \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_V4_2m_mosaic)"]]
