{"action":"created","issue":{"url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/4","repository_url":"https://api.github.com/repos/polar-computing/AerosolDelta","labels_url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/4/labels{/name}","comments_url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/4/comments","events_url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/4/events","html_url":"https://github.com/polar-computing/AerosolDelta/issues/4","id":163640946,"number":4,"title":"Phase 2: Data Retrieval and Cleaning Pipeline","user":{"login":"karanjeets","id":14089051,"avatar_url":"https://avatars.githubusercontent.com/u/14089051?v=3","gravatar_id":"","url":"https://api.github.com/users/karanjeets","html_url":"https://github.com/karanjeets","followers_url":"https://api.github.com/users/karanjeets/followers","following_url":"https://api.github.com/users/karanjeets/following{/other_user}","gists_url":"https://api.github.com/users/karanjeets/gists{/gist_id}","starred_url":"https://api.github.com/users/karanjeets/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/karanjeets/subscriptions","organizations_url":"https://api.github.com/users/karanjeets/orgs","repos_url":"https://api.github.com/users/karanjeets/repos","events_url":"https://api.github.com/users/karanjeets/events{/privacy}","received_events_url":"https://api.github.com/users/karanjeets/received_events","type":"User","site_admin":false},"labels":[],"state":"closed","locked":false,"assignee":{"login":"nithinkrishna","id":6264334,"avatar_url":"https://avatars.githubusercontent.com/u/6264334?v=3","gravatar_id":"","url":"https://api.github.com/users/nithinkrishna","html_url":"https://github.com/nithinkrishna","followers_url":"https://api.github.com/users/nithinkrishna/followers","following_url":"https://api.github.com/users/nithinkrishna/following{/other_user}","gists_url":"https://api.github.com/users/nithinkrishna/gists{/gist_id}","starred_url":"https://api.github.com/users/nithinkrishna/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nithinkrishna/subscriptions","organizations_url":"https://api.github.com/users/nithinkrishna/orgs","repos_url":"https://api.github.com/users/nithinkrishna/repos","events_url":"https://api.github.com/users/nithinkrishna/events{/privacy}","received_events_url":"https://api.github.com/users/nithinkrishna/received_events","type":"User","site_admin":false},"assignees":[{"login":"nithinkrishna","id":6264334,"avatar_url":"https://avatars.githubusercontent.com/u/6264334?v=3","gravatar_id":"","url":"https://api.github.com/users/nithinkrishna","html_url":"https://github.com/nithinkrishna","followers_url":"https://api.github.com/users/nithinkrishna/followers","following_url":"https://api.github.com/users/nithinkrishna/following{/other_user}","gists_url":"https://api.github.com/users/nithinkrishna/gists{/gist_id}","starred_url":"https://api.github.com/users/nithinkrishna/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nithinkrishna/subscriptions","organizations_url":"https://api.github.com/users/nithinkrishna/orgs","repos_url":"https://api.github.com/users/nithinkrishna/repos","events_url":"https://api.github.com/users/nithinkrishna/events{/privacy}","received_events_url":"https://api.github.com/users/nithinkrishna/received_events","type":"User","site_admin":false},{"login":"karanjeets","id":14089051,"avatar_url":"https://avatars.githubusercontent.com/u/14089051?v=3","gravatar_id":"","url":"https://api.github.com/users/karanjeets","html_url":"https://github.com/karanjeets","followers_url":"https://api.github.com/users/karanjeets/followers","following_url":"https://api.github.com/users/karanjeets/following{/other_user}","gists_url":"https://api.github.com/users/karanjeets/gists{/gist_id}","starred_url":"https://api.github.com/users/karanjeets/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/karanjeets/subscriptions","organizations_url":"https://api.github.com/users/karanjeets/orgs","repos_url":"https://api.github.com/users/karanjeets/repos","events_url":"https://api.github.com/users/karanjeets/events{/privacy}","received_events_url":"https://api.github.com/users/karanjeets/received_events","type":"User","site_admin":false}],"milestone":null,"comments":5,"created_at":"2016-07-04T09:46:18Z","updated_at":"2016-07-07T23:50:40Z","closed_at":"2016-07-07T23:50:40Z","body":"## **Pipeline**\r\n\r\n1. Download \r\n\t1. Randolph Glacier Inventory (RGI) 5.0 Complete\r\n\r\n\t2. MERRA-2 Aerosol Raster Modeled Data\r\n\r\n\t3. CALIOP Aerosol Raster observation Version 3 Aerosol Profile Data\r\n\r\n\t4. MODIS, Aqua, Collection 6, 8-day Surface Reflectance Raster Data\r\n\r\n\t5. Landsat Data\r\n\r\n2. From RGI data, unzip *_00_rgi50_attribs_* which contains CSV files for each of the regions. Each file contains the Lat-Lon information.\r\n\r\n3. Extract all Latitudes and Longitudes and store it in a separate file named _coordinates.txt_\r\n\r\n4. For all latitude and longitude in _coordinates.txt_\r\n\t1. Extract all Scientific data (cited in README) from MERRA-2 M2TMNXAER.5.12.4 (Monthly Mean Data) for each month\r\n\t \r\n\t2. Extract 500m Surface Reflectance data from MODIS MYD09A1 8-Day L3 for each band and parse the bits\r\n\t\r\n\t3. Extract monthly data from CALIOP CAL_LID_L3_APro_CloudFree-Standard-V3-00\r\n\r\n\t4. Extract Surface Reflectance data from Landsat\r\n\t\r\n5. Index all the data in ElasticSearch (Decide how to model the schema)\r\n\r\n\r\n## **Questions**\r\n1. Is there a better way to map Latitude and Longitude from RGI with MERRA-2 and other source files?\r\n\r\n2. How are we analyzing data from different sources? MERRA-2 is a monthly mean whereas MODIS is 8-day.\r\n\r\n3. Please describe what variables we should collect from each data source? We need to list them point by point to avoid any miss. As a start, it includes all 12 scientific data sets from MERRA-2 listed in README. \r\n\r\n4. Landsat needs more explanation on downloading and understanding the data. I have included a user guide in README. Please confirm if it is the correct one.\r\n\r\n"},"comment":{"url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/comments/231240595","html_url":"https://github.com/polar-computing/AerosolDelta/issues/4#issuecomment-231240595","issue_url":"https://api.github.com/repos/polar-computing/AerosolDelta/issues/4","id":231240595,"user":{"login":"nithinkrishna","id":6264334,"avatar_url":"https://avatars.githubusercontent.com/u/6264334?v=3","gravatar_id":"","url":"https://api.github.com/users/nithinkrishna","html_url":"https://github.com/nithinkrishna","followers_url":"https://api.github.com/users/nithinkrishna/followers","following_url":"https://api.github.com/users/nithinkrishna/following{/other_user}","gists_url":"https://api.github.com/users/nithinkrishna/gists{/gist_id}","starred_url":"https://api.github.com/users/nithinkrishna/starred{/owner}{/repo}","subscriptions_url":"https://api.github.com/users/nithinkrishna/subscriptions","organizations_url":"https://api.github.com/users/nithinkrishna/orgs","repos_url":"https://api.github.com/users/nithinkrishna/repos","events_url":"https://api.github.com/users/nithinkrishna/events{/privacy}","received_events_url":"https://api.github.com/users/nithinkrishna/received_events","type":"User","site_admin":false},"created_at":"2016-07-07T23:50:40Z","updated_at":"2016-07-07T23:50:40Z","body":"Just a quick update.\r\n\r\nI did some initial analysis on the following data set. I used [QGIS](http://www.qgis.org/en/site/). It's a relatively easy tool to setup and analyze shp files.\r\n\r\n**Randolph Glacier Inventory (RGI) 5.0**\r\n"}}
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