{
  "id": 134476,
  "title": "Only NO2 data array is opposition north and south?",
  "url": "/competitions/ds4g-environmental-insights-explorer/discussion/134476",
  "author_name": "",
  "post_date": "2020-03-08T12:00:02.784619900Z",
  "votes": 3,
  "comment_count": 2,
  "views": 0,
  "content": "<p>Now i'm confused.</p>\n\n<p>Explore Image Meta Data shows  </p>\n\n<p>For s5p_no2 : \"BoundingBox(left=-67.32431391288841,  <strong><em>bottom=18.564903861343627</em></strong>, right=-65.19081511310455, top=17.90015055109518)\". </p>\n\n<p>This means </p>\n\n<p>array[0,0]=latitude[18.5649, -67.324]</p>\n\n<p>And in the same notebook, </p>\n\n<p>for gldas : \"BoundingBox(left=-67.32431391288841,  <strong><em>bottom=17.901215296567198</em></strong>, right=-65.19081511310455, top=18.565968606815645)\".</p>\n\n<p>This means</p>\n\n<p>array[0,0]=latitude[17.9012, -67.324]</p>\n\n<p>right?</p>",
  "messages": [
    {
      "id": "766577",
      "postDate": "03/08/2020 12:00:02",
      "content": "<p>Now i'm confused.</p>\n\n<p>Explore Image Meta Data shows  </p>\n\n<p>For s5p_no2 : \"BoundingBox(left=-67.32431391288841,  <strong><em>bottom=18.564903861343627</em></strong>, right=-65.19081511310455, top=17.90015055109518)\". </p>\n\n<p>This means </p>\n\n<p>array[0,0]=latitude[18.5649, -67.324]</p>\n\n<p>And in the same notebook, </p>\n\n<p>for gldas : \"BoundingBox(left=-67.32431391288841,  <strong><em>bottom=17.901215296567198</em></strong>, right=-65.19081511310455, top=18.565968606815645)\".</p>\n\n<p>This means</p>\n\n<p>array[0,0]=latitude[17.9012, -67.324]</p>\n\n<p>right?</p>",
      "rawMarkdown": "Now i'm confused.\n\n[Explore Image Meta Data](hymooney/explore-image-metadata-s5p-gfs-gldas) shows  \n\nFor s5p_no2 : \"BoundingBox(left=-67.32431391288841,  ***bottom=18.564903861343627***, right=-65.19081511310455, top=17.90015055109518)\". \n\nThis means \n\narray[0,0]=latitude[18.5649, -67.324]\n\n\nAnd in the same notebook, \n\nfor gldas : \"BoundingBox(left=-67.32431391288841,  ***bottom=17.901215296567198***, right=-65.19081511310455, top=18.565968606815645)\".\n\nThis means\n\narray[0,0]=latitude[17.9012, -67.324]\n\nright?",
      "votes": null
    },
    {
      "id": "767388",
      "postDate": "03/09/2020 15:11:18",
      "content": "<p>You can find the coordinates for individual positions within each image by running the following code snippet:</p>\n\n<p>```\nimport rasterio as rio</p>\n\n<p>s5p_file = '/kaggle/input/ds4g-environmental-insights-explorer/eie_data/s5p_no2/s5p_no2_20190501T161114_20190507T174400.tif'</p>\n\n<p>def preview_meta_data(file_name):\n    with rio.open(file_name) as img_filename:\n        print('Bounding Box:',img_filename.bounds)\n        print('Coordinates of Top Left Corner: ',img_filename.transform * (0,0))\n        print('Coordinates of Bottom Right Corner: ',img_filename.transform * (img_filename.width,img_filename.height))\npreview_meta_data(s5p_file)\n```</p>\n\n<p>You can find more information about viewing image metadata in the <a href=\"https://rasterio.readthedocs.io/en/latest/quickstart.html\">rasterio documentation</a>, in the <a href=\"https://www.kaggle.com/paultimothymooney/explore-image-metadata-s5p-gfs-gldas\">starter notebook</a>, or by using <a href=\"https://www.qgis.org/en/site/\">QGIS</a>.</p>",
      "rawMarkdown": "You can find the coordinates for individual positions within each image by running the following code snippet:\n\n```\nimport rasterio as rio\n\ns5p_file = '/kaggle/input/ds4g-environmental-insights-explorer/eie_data/s5p_no2/s5p_no2_20190501T161114_20190507T174400.tif'\n\ndef preview_meta_data(file_name):\n    with rio.open(file_name) as img_filename:\n        print('Bounding Box:',img_filename.bounds)\n        print('Coordinates of Top Left Corner: ',img_filename.transform * (0,0))\n        print('Coordinates of Bottom Right Corner: ',img_filename.transform * (img_filename.width,img_filename.height))\npreview_meta_data(s5p_file)\n```\n\nYou can find more information about viewing image metadata in the [rasterio documentation](https://rasterio.readthedocs.io/en/latest/quickstart.html), in the [starter notebook](https://www.kaggle.com/paultimothymooney/explore-image-metadata-s5p-gfs-gldas), or by using [QGIS](https://www.qgis.org/en/site/).",
      "votes": null
    },
    {
      "id": "768081",
      "postDate": "03/10/2020 12:43:21",
      "content": "<p>I've tried.\nVery useful information, thank you!</p>",
      "rawMarkdown": "I've tried.\nVery useful information, thank you!",
      "votes": null
    }
  ],
  "comments": [
    {
      "id": 767388,
      "author_name": "paultimothymooney",
      "author_url": "",
      "post_date": "03/09/2020 15:11:18",
      "content": "<p>You can find the coordinates for individual positions within each image by running the following code snippet:</p>\n\n<p>```\nimport rasterio as rio</p>\n\n<p>s5p_file = '/kaggle/input/ds4g-environmental-insights-explorer/eie_data/s5p_no2/s5p_no2_20190501T161114_20190507T174400.tif'</p>\n\n<p>def preview_meta_data(file_name):\n    with rio.open(file_name) as img_filename:\n        print('Bounding Box:',img_filename.bounds)\n        print('Coordinates of Top Left Corner: ',img_filename.transform * (0,0))\n        print('Coordinates of Bottom Right Corner: ',img_filename.transform * (img_filename.width,img_filename.height))\npreview_meta_data(s5p_file)\n```</p>\n\n<p>You can find more information about viewing image metadata in the <a href=\"https://rasterio.readthedocs.io/en/latest/quickstart.html\">rasterio documentation</a>, in the <a href=\"https://www.kaggle.com/paultimothymooney/explore-image-metadata-s5p-gfs-gldas\">starter notebook</a>, or by using <a href=\"https://www.qgis.org/en/site/\">QGIS</a>.</p>",
      "votes": null,
      "replies": [
        {
          "id": 768081,
          "author_name": "hotton",
          "author_url": "",
          "post_date": "03/10/2020 12:43:21",
          "content": "<p>I've tried.\nVery useful information, thank you!</p>",
          "votes": null,
          "replies": []
        }
      ]
    }
  ],
  "raw_markdown_by_id": {
    "766577": "Now i'm confused.\n\n[Explore Image Meta Data](hymooney/explore-image-metadata-s5p-gfs-gldas) shows  \n\nFor s5p_no2 : \"BoundingBox(left=-67.32431391288841,  ***bottom=18.564903861343627***, right=-65.19081511310455, top=17.90015055109518)\". \n\nThis means \n\narray[0,0]=latitude[18.5649, -67.324]\n\n\nAnd in the same notebook, \n\nfor gldas : \"BoundingBox(left=-67.32431391288841,  ***bottom=17.901215296567198***, right=-65.19081511310455, top=18.565968606815645)\".\n\nThis means\n\narray[0,0]=latitude[17.9012, -67.324]\n\nright?",
    "767388": "You can find the coordinates for individual positions within each image by running the following code snippet:\n\n```\nimport rasterio as rio\n\ns5p_file = '/kaggle/input/ds4g-environmental-insights-explorer/eie_data/s5p_no2/s5p_no2_20190501T161114_20190507T174400.tif'\n\ndef preview_meta_data(file_name):\n    with rio.open(file_name) as img_filename:\n        print('Bounding Box:',img_filename.bounds)\n        print('Coordinates of Top Left Corner: ',img_filename.transform * (0,0))\n        print('Coordinates of Bottom Right Corner: ',img_filename.transform * (img_filename.width,img_filename.height))\npreview_meta_data(s5p_file)\n```\n\nYou can find more information about viewing image metadata in the [rasterio documentation](https://rasterio.readthedocs.io/en/latest/quickstart.html), in the [starter notebook](https://www.kaggle.com/paultimothymooney/explore-image-metadata-s5p-gfs-gldas), or by using [QGIS](https://www.qgis.org/en/site/).",
    "768081": "I've tried.\nVery useful information, thank you!"
  },
  "source": "meta"
}