{"id":576,"date":"2015-10-01T16:21:11","date_gmt":"2015-10-01T16:21:11","guid":{"rendered":"http:\/\/arlduc.org\/senseandscale\/?p=576"},"modified":"2015-10-08T13:41:51","modified_gmt":"2015-10-08T17:41:51","slug":"data-vis-session-5-data-journalism","status":"publish","type":"post","link":"https:\/\/arlduc.org\/senseandscale\/?p=576","title":{"rendered":"Data Vis Session 5: Data Journalism and Satellite data"},"content":{"rendered":"<h2>Announcements and Links<\/h2>\n<ul>\n<li><a href=\"http:\/\/news.nationalgeographic.com\/2015\/09\/150922-data-points-visualization-eye-candy-efficiency\/\" target=\"_blank\">Data Visualization from Eye Candy to Efficiency<\/a><\/li>\n<\/ul>\n<h2>Agenda<\/h2>\n<ul>\n<li class=\"p3\">6:30-7:15: Updates\u00a0(including visualization assignments)<\/li>\n<li class=\"p3\">7:15-8:15: <a href=\"https:\/\/drive.google.com\/file\/d\/0B1KM70jlEfvpd2s3bF84Q3d4UzA\/view?usp=sharing\" target=\"_blank\">Catherine D&#8217;Ignazio\u00a0lecture \/ Q&amp;A<\/a><\/li>\n<li class=\"p3\">8:15-8:25: Break<\/li>\n<li class=\"p3\">8:25-9:15: Remote sensing (satellite data) lecture \/ Q&amp;A.<br \/>\nGuest co-speaker: Ilias Koen.<\/li>\n<li class=\"p3\">9:15-9:20: Final notes and comments<\/li>\n<\/ul>\n<h2>Notes<\/h2>\n<ul>\n<li>Remote sensing: Spectral, Temporal, Spatial\n<ul>\n<li><a href=\"http:\/\/landsat.gsfc.nasa.gov\/wp-content\/uploads\/2012\/12\/intro2landsat.pdf\" target=\"_blank\">Working with Landsat Data<\/a> (2006)<\/li>\n<li><a href=\"http:\/\/landsat.usgs.gov\/band_designations_landsat_satellites.php\" target=\"_blank\">Landsat Mission Acronyms<\/a><\/li>\n<li><a href=\"http:\/\/landsat.gsfc.nasa.gov\/?p=3231\" target=\"_blank\">The Worldwide Reference System<\/a><\/li>\n<li><a href=\"http:\/\/glcf.umd.edu\/data\/landsat\/\" target=\"_blank\">UMD Global Landcover Facility<\/a><\/li>\n<li><a href=\"http:\/\/openir.media.mit.edu\/main\/?cat=13\" target=\"_blank\">OpenIR<\/a> (2013)<\/li>\n<li><a href=\"https:\/\/earthengine.google.org\" target=\"_blank\">Google Earth Engine<\/a>, with <a href=\"https:\/\/developers.google.com\/earth-engine\/\" target=\"_blank\">API guide<\/a><\/li>\n<li>USGS\u00a0<a href=\"http:\/\/landsat.usgs.gov\/landsat8.php\" target=\"_blank\">Landsat 8<\/a><\/li>\n<li><a href=\"http:\/\/landsat.gsfc.nasa.gov\/?p=3186\" target=\"_blank\">NASA Landsat 8<\/a><\/li>\n<li><a href=\"http:\/\/www.nasa.gov\/mission_pages\/landsat\/main\/index.html\" target=\"_blank\">Landsat Mission page<\/a><\/li>\n<li><a href=\"http:\/\/landsatlook.usgs.gov\/viewer.html\" target=\"_blank\">NASA Echo Reverb<\/a><\/li>\n<li><a href=\"https:\/\/search.earthdata.nasa.gov\/\" target=\"_blank\">NASA Earthdata search<\/a><\/li>\n<li><a href=\"https:\/\/www.mapbox.com\/blog\/putting-landsat-8-bands-to-work\/\" target=\"_blank\">Mapbox Landsat 8 band explanation<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Band\u00a0Combinations\n<ul>\n<li><a href=\"http:\/\/earthobservatory.nasa.gov\/blogs\/elegantfigures\/2013\/10\/22\/how-to-make-a-true-color-landsat-8-image\/\" target=\"_blank\">How to make a true color Landsat 8 band in Photoshop<\/a><\/li>\n<li><a href=\"http:\/\/blogs.esri.com\/esri\/arcgis\/2013\/07\/24\/band-combinations-for-landsat-8\/\" target=\"_blank\">Band combinations for Landsat 8<\/a><\/li>\n<\/ul>\n<\/li>\n<li>Tile\u00a0Mosaics\n<ul>\n<li><a href=\"http:\/\/www.gdal.org\/\" target=\"_blank\">Geospatial Data Abstraction Library (GDAL<\/a>)<\/li>\n<li>GDAL utility programs including <a href=\"http:\/\/www.gdal.org\/gdalwarp.html\" target=\"_blank\">gdalwarp<\/a>, <a href=\"http:\/\/www.gdal.org\/gdal2tiles.html\" target=\"_blank\">gdal2tiles<\/a>, <a href=\"http:\/\/landsat.gsfc.nasa.gov\/?p=3231\" target=\"_blank\">gdal_merge<\/a><\/li>\n<li><a href=\"http:\/\/openir.media.mit.edu\/main\/?p=980\" target=\"_blank\">Developing your own IR data viewers using OpenIR scripts<\/a>\u00a0(note: <a href=\"http:\/\/glcf.umd.edu\/\">GLCF.UMD<\/a>\u00a0data sources are Landsat 7)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2><a href=\"http:\/\/blogs.esri.com\/esri\/arcgis\/2013\/07\/24\/band-combinations-for-landsat-8\/\" target=\"_blank\">\u00a0<\/a><\/h2>\n<h2>Next Week&#8217;s Assignments<\/h2>\n<ul>\n<li><strong>Blog post (due next week):<\/strong> Complete\u00a0another brief visualization exercise. It can, but doesn&#8217;t have to, be related to your midterm project. It can follow\u00a0one of the tutorials on this site, or it can follow an external tutorial. You can even dive deeper into one of the remote sensing-related tools like Google Earth Engine or GDAL. It&#8217;s up to you!<\/li>\n<li><strong>Midterm (due in two weeks).\u00a0<\/strong>A full project brief is <a href=\"http:\/\/arlduc.org\/senseandscale\/?p=591\">here<\/a>. If it will help\u00a0you prepare, I can\u00a0write a walk-through of one of my <a href=\"http:\/\/hdr.media.mit.edu\" target=\"_blank\">previous visualization projects<\/a> (which includes\u00a0<a href=\"https:\/\/github.com\/arlduc\/UN_HDR2011\/blob\/master\/documents\/ACM_ICIC_paper\/NetworksInSustainabilityEquity.pdf\" target=\"_blank\">a write-up<\/a>) that is about the same scope as a midterm or final, depending on your prior technical experience. You can see the project files for this vis, called &#8220;Networks in Equity and Sustainability,&#8221; at <a href=\"https:\/\/github.com\/arlduc\/UN_HDR2011\" target=\"_blank\">Github<\/a>.<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"<p>Announcements and Links Data Visualization from Eye Candy to Efficiency Agenda 6:30-7:15: Updates\u00a0(including visualization assignments) 7:15-8:15: Catherine D&#8217;Ignazio\u00a0lecture \/ Q&amp;A 8:15-8:25: Break 8:25-9:15: Remote sensing (satellite data) lecture \/ Q&amp;A. Guest co-speaker: Ilias Koen. 9:15-9:20: Final notes and comments Notes Remote sensing: Spectral, Temporal, Spatial Working with Landsat Data (2006) Landsat Mission Acronyms The Worldwide [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[7],"tags":[],"class_list":["post-576","post","type-post","status-publish","format-standard","hentry","category-nyu-datavis"],"_links":{"self":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/576","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=576"}],"version-history":[{"count":14,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/576\/revisions"}],"predecessor-version":[{"id":621,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=\/wp\/v2\/posts\/576\/revisions\/621"}],"wp:attachment":[{"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=576"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=576"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/arlduc.org\/senseandscale\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=576"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}