{"id":19222,"date":"2016-10-04T20:32:30","date_gmt":"2016-10-04T12:32:30","guid":{"rendered":"https:\/\/wp-productionenv-bjg9h2g2bgg5b8aa.southeastasia-01.azurewebsites.net\/news\/google-cloud-offers-a-quadrillion-bytes-of-landsat-and-sentinel-2-satellite-views\/"},"modified":"2016-10-04T20:32:30","modified_gmt":"2016-10-04T12:32:30","slug":"google-cloud-offers-a-quadrillion-bytes-of-landsat-and-sentinel-2-satellite-views","status":"publish","type":"post","link":"https:\/\/starpath.global\/news\/google-cloud-offers-a-quadrillion-bytes-of-landsat-and-sentinel-2-satellite-views\/","title":{"rendered":"Google Cloud offers a quadrillion bytes of Landsat and Sentinel-2 satellite views"},"content":{"rendered":"<figure id=\"attachment_279617\" aria-describedby=\"caption-attachment-279617\" style=\"width: 630px\" class=\"wp-caption aligncenter\"><img fetchpriority=\"high\" decoding=\"async\" class=\"size-full-width wp-image-279617\" src=\"https:\/\/cdn.geekwire.com\/wp-content\/uploads\/2016\/10\/161004-google-brisbane-630x366.png\" alt=\"Sentinel-2 image of Brisbane\" width=\"630\" height=\"366\" srcset=\"https:\/\/cdn.geekwire.com\/wp-content\/uploads\/2016\/10\/161004-google-brisbane-630x366.png 630w, https:\/\/cdn.geekwire.com\/wp-content\/uploads\/2016\/10\/161004-google-brisbane-768x447.png 768w, https:\/\/cdn.geekwire.com\/wp-content\/uploads\/2016\/10\/161004-google-brisbane-1240x721.png 1240w, https:\/\/cdn.geekwire.com\/wp-content\/uploads\/2016\/10\/161004-google-brisbane.png 1515w\" sizes=\"(max-width: 630px) 100vw, 630px\"><figcaption data-nosnippet=\"\" id=\"caption-attachment-279617\" class=\"wp-caption-text\">An image from the Sentinel-2 satellite shows the Australian city of Brisbane and its surroundings. (Credit: ESA \/ Google)<\/figcaption><\/figure>\n<p>How do you channel&nbsp;a flood of almost 5 million images into useful applications? Google Cloud is doing it with more than 30&nbsp;years\u2019 worth of satellite imagery from the Landsat and Sentinel-2 missions, for free.<\/p>\n<p>Satellite views have long been part of Google\u2019s global mapping operation, of course. But putting them on the cloud is a&nbsp;different matter.<\/p>\n<p>One of the&nbsp;newly added data sets draws upon the complete catalog of pictures from Landsat 4, 5, 7 and 8, amounting to 1.3 petabytes of data that go back to 1984. The other data set takes advantage of more than 430 terabytes\u2019 worth of multispectral imaging from the European Space Agency\u2019s Sentinel-2 satellite, which is part of the Copernicus program to monitor global environmental indicators.<\/p>\n<p>The Landsat database keeps track of 4 million scenes, while the Sentinel-2 set offers 970,000 images. More pictures are being added daily.<\/p>\n<p>When satellite images&nbsp;become available via the cloud, customers who focus on geospatial analysis don\u2019t have to worry about downloading and organizing 1.7 quadrillion bytes of data on their own. In a Google blog posting,&nbsp;Descartes Labs CEO Mark Johnson explained how the shift to the cloud makes the job of predicting crop yields easier.<\/p>\n<p><iframe title=\"Teaching the Cloud to see the Earth | Steven Brumby | TEDxABQ\" src=\"https:\/\/www.youtube.com\/embed\/VLze6W7SvyY?feature=oembed\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen=\"\" data-ratio=\"0.5625\" data-width=\"800\" data-height=\"450\" style=\"display: block; margin: 0px; width: 800px; height: 450px;\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n<p>\u201cTo make accurate machine-learning models of major crops, we needed decades of satellite imagery from the entire globe,\u201d Johnson said. \u201cThanks to Google Earth Engine hosting the entire Landsat archive publicly on Google Cloud, we can focus on algorithms instead of worrying about collecting petabytes of data. Earth observation will continue to improve with every new satellite launch, and so will our ability to forecast global food supply.\u201d<\/p>\n<p>Another venture that\u2019s taking advantage of Google\u2019s cloud-based satellite data is Spaceknow, which analyzes changes over time to track economic trends. Spaceknow\u2019s algorithms digest billions of observations from Landsat satellites to determine, for example, the ups and downs of Chinese manufacturing activity.<\/p>\n<p>In today\u2019s posting, the project manager for Google Earth Engine, Peter Birch, says there\u2019s likely to be more to come. \u201cWith dozens of public satellites in orbit and many more scheduled over the next decade, the size and complexity of geospatial imagery continues to grow,\u201d Birch says.<\/p>\n<p>There\u2019s also likely to be more competition in the cloud as well: Amazon Web Services has its own repository of free imagery from Landsat and other Earth-watching satellites, while Microsoft\u2019s Azure platform has been used to process MODIS satellite imagery&nbsp;and tease out hydrological trends.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>An image from the Sentinel-2 satellite shows the Australian city of Brisbane and its surroundings. (Credit: ESA \/ Google) How do you channel&nbsp;a flood of almost 5 million images into useful applications? Google Cloud is doing it with more than 30&nbsp;years\u2019 worth of satellite imagery from the Landsat and Sentinel-2 missions, for free. Satellite views [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[2],"tags":[5503,2097,20,4895,1309,21],"class_list":["post-19222","post","type-post","status-publish","format-standard","hentry","category-news","tag-google-cloud-platform","tag-landsat","tag-satellite","tag-science","tag-sentinel-2","tag-space"],"acf":[],"_links":{"self":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/19222"}],"collection":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/comments?post=19222"}],"version-history":[{"count":0,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/posts\/19222\/revisions"}],"wp:attachment":[{"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/media?parent=19222"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/categories?post=19222"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/starpath.global\/blog\/wp-json\/wp\/v2\/tags?post=19222"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}