the-production-of-a-multi-resolution-global-index-.json

{
  "alias": "video/1985/the-production-of-a-multi-resolution-global-index-",
  "category": "SciPy 2013",
  "copyright_text": "https://www.youtube.com/t/terms",
  "description": "",
  "duration": null,
  "id": 1985,
  "language": "eng",
  "quality_notes": "",
  "recorded": "2013-07-01",
  "slug": "the-production-of-a-multi-resolution-global-index-",
  "speakers": [],
  "summary": "The Production of a Multi-Resolution Global Index for Geographic\nInformation Systems\n\nAuthors: MacManus, Kytt, Columbia University CIESIN\n\nTrack: GIS - Geospatial Data Analysis\n\nIn order to efficiently access geographic information at the pixel\nlevel, at a global scale, it is useful to develop an indexing system\nwith nested location information. Considering a 1 sq. km image\nresolution, the number of global pixels covering land exceeds 200\nmillion. This talk will summarize the steps taken to produce a global\nmulti-resolution raster indexing system using the Geospatial Data\nAbstraction Library (GDAL) 1.9, and NumPy. The implications of\npresenting this data to a user community reliant on Microsoft Office\ntechnologies will also be discussed.\n",
  "tags": [
    "Tech"
  ],
  "thumbnail_url": "https://i1.ytimg.com/vi/bQTdFnZfkts/hqdefault.jpg",
  "title": "The Production of a Multi-Resolution Global Index for GIS; SciPy 2013 Presentation",
  "videos": [
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      "length": 0,
      "type": "youtube",
      "url": "https://www.youtube.com/watch?v=bQTdFnZfkts"
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}