{"id":25701,"date":"2018-03-21T06:07:44","date_gmt":"2018-03-21T13:07:44","guid":{"rendered":"https:\/\/www.esri.com\/about\/newsroom\/?post_type=blog&#038;p=25701"},"modified":"2024-03-06T14:18:40","modified_gmt":"2024-03-06T22:18:40","slug":"mh370-search-mission-yields-map-with-lasting-purpose","status":"publish","type":"blog","link":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose","title":{"rendered":"Downed Airliner Search Mission Yields Map with Lasting Purpose"},"author":841,"featured_media":25731,"parent":0,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"sync_status":"","episode_type":"","audio_file":"","podmotor_file_id":"","podmotor_episode_id":"","castos_file_data":"","cover_image":"","cover_image_id":"","duration":"","filesize":"","filesize_raw":"","date_recorded":"","explicit":"","block":"","itunes_episode_number":"","itunes_title":"","itunes_season_number":"","itunes_episode_type":"","_links_to":"","_links_to_target":""},"categories":[81,91],"tags":[271,1721,1731],"industry":[],"esri-blog-category":[478392],"esri_blog_department":[478172],"class_list":["post-25701","blog","type-blog","status-publish","format-standard","has-post-thumbnail","hentry","category-capability","category-mapping","tag-mapping","tag-ocean-exploration","tag-search","esri-blog-category-ocean","esri_blog_department-mapping"],"acf":{"video_source":"","video_start":"","video_stop":"","short_description":"Geoscience Australia deployed location technology to search methodically for the missing Malaysia Airlines flight MH370 aircraft.","pdf":{"host_remotely":false,"file":"","file_url":""},"flexible_content":[{"acf_fc_layout":"sidebar","layout":"standard","image_reference":null,"image_reference_figure":"","spotlight_image":null,"section_title":"","spotlight_name":"","position":"Right","content":"Key takeaways\r\n<ul>\r\n \t<li>Most of the ocean remains unmapped at a high resolution.<\/li>\r\n \t<li><a href=\"https:\/\/www.esri.com\/en-us\/location-intelligence\">Location intelligence<\/a> processed survey data to create high-resolution maps of the sea floor.<\/li>\r\n \t<li>GIS helped monitor the progress of mission.<\/li>\r\n<\/ul>","snippet":""},{"acf_fc_layout":"content","content":"On March 8, 2014, Malaysia Airlines Flight MH370, a commercial jetliner on its way from Malaysia to China with 239 people on board, strayed from its flight path and disappeared from air traffic control radar. Analysis of satellite data revealed that MH370 had flown for over six hours after contact was lost and likely crashed along a narrow arc of the southern Indian Ocean. The loss of MH370 remains one of the highest-profile catastrophes of modern commercial aviation, and four years later, despite one of the most expensive searches ever undertaken, MH370 still remains missing.\r\n\r\nThe difficulty in finding MH370 can be blamed in part on geology. The rugged topography of the Indian Ocean floor could potentially obscure the debris field, making undersea <a href=\"https:\/\/www.esri.com\/en-us\/capabilities\/mapping\/overview\">mapping<\/a> an important part of the investigation. Despite the failed search effort, the monumental deep-sea mission produced the most detailed underwater map ever created.\r\n\r\nA joint communique from the transport ministers of Malaysia, Australia, and China included the following statement upon the conclusion of the search:\r\n\r\n\u201cDespite every effort using the best science available, cutting-edge technology, as well as modelling and advice from highly skilled professionals who are the best in their field, unfortunately, the search has not been able to locate the aircraft. Accordingly, the underwater search for MH370 has been suspended. The decision to suspend the underwater search has not been taken lightly nor without sadness.\u201d\r\n\r\n<strong>Charting Uncharted Waters<\/strong>\r\n\r\nIn March of 2014, Australia led the search operation at the request of the Malaysian government. After a two-month aerial search of the surface that found no trace of MH370, the Australian Transport Safety Bureau (ATSB) began an underwater search that would use sonar, submersible vehicles, and a location intelligence platform to visualize the data. Geoscience Australia, Australia\u2019s public-sector geography authority, led the mapping effort, processing seafloor maps that helped the searchers visualize all data and adapt their strategies.\r\n\r\nAn analysis of radar data and metadata associated with subsequent satellite communications with the aircraft placed MH370 on a long arc within the Australian search-and-rescue zone. Investigators mostly agreed that the plane exhausted its fuel somewhere along that corridor. By analyzing satellite communication data, Geoscience Australia drew the search area on a map and updated it as the analysis was refined. The initial search area encompassed more than 450,000 square miles.\r\n\r\nExisting ocean depth (bathymetry) data of the search area was not of sufficient resolution to guide the submersible vehicles that would travel close to the seafloor to take closer looks. The first phase of the search would consist of a high-resolution survey of the ocean bottom. The underwater search primarily employed sidescan and multibeam sonar equipment towed behind vessels to collect high-resolution images. The ships acquired data 24\/7 as they traveled across the search area."},{"acf_fc_layout":"image","image":25751,"image_position":"right","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<strong>Flagging Potential Hiding Places<\/strong>\r\n\r\nAs the vessels moved across the search area, surveyors reviewed the sonar data in real time to flag any anomalies that could be an aircraft debris field. Onboard the ships, a geographic information system (GIS) functioned as a photographer\u2019s \u201cdark room,\u201d allowing Geoscience Australia to develop pictures from the incoming data that would help searchers monitor sonar data quality as well as mission progress.\r\n\r\nThe resulting high-resolution maps would orient an autonomous underwater vehicle's (AUV) more detailed searching. The AUV was used to explore the anomalous areas that warranted closer inspection with a camera and it was also used to search areas where there were gaps in the primary sonar coverage due to the seafloor terrain. Geoscience Australia mapped each gap that could potentially hide pieces of aircraft.\r\n\r\n\u201cGaps will always exist where steep geology prevents soundwaves from reaching bottom,\u201d said Megan McCabe, cartographer at Geoscience Australia. \u201cThe idea was to capture as much of those areas as possible and stitch the data captured by the AUV into the sonar coverage.\u201d"},{"acf_fc_layout":"image","image":25761,"image_position":"center","orientation":"horizontal","hyperlink":""},{"acf_fc_layout":"content","content":"<strong>Building an Underwater Highway<\/strong>\r\n\r\nWith gaps sparsely spread out over the entire search area, the challenge centered on the best way to search each gap. A makeshift underwater highway had to be created using the Esri mapping platform.\r\n\r\n\u201cWe created a network analysis to see how we could move from gap to gap most efficiently by thinking about it like a delivery man\u2019s dilemma,\u201d McCabe said. \u201cThe goal was to prioritize anomalies to build a \u2018road network\u2019 between them that we could efficiently investigate.\u201d\r\n\r\nOnce it had the network, Geoscience Australia could create the best routes to get from point A to point B. This method helped navigate the AUVs to the areas of highest priority. The search located four shipwrecks but found no aircraft wreckage.\r\n\r\nThe improved resolution of the mapping effort also led to the discovery of deep sea volcanoes, towering ridges, and deep trenches in a remote part of the southern Indian Ocean that was largely unexplored. Investigators discovered that the large mountain ridge within the arc was created by the collision of two tectonic plates. Sonar data revealed structures that soared more than 300 meters high in some places and trenches that plunged as deep as 1400 meters.\r\n\r\n<strong>Adding Value to the Mission<\/strong>\r\n\r\nThe exhaustive search for MH370 also ranks as one of the largest marine surveys ever conducted thanks to the Fugro Survey team\u2019s decision to always keep the multibeam sonar system on. The search collected 172,741 square miles of bathymetry data in the search area and another 268,432 square miles of data as the vessels travelled to and from the search area.\r\n\r\nThree years\u2019 worth of meticulous scanning and quality assurance review produced a highly detailed picture of the seafloor in the southern Indian Ocean. Geoscience Australia presented a story map to tell the <a href=\"https:\/\/geoscience-au.maps.arcgis.com\/apps\/Cascade\/index.html?appid=038a72439bfa4d28b3dde81cc6ff3214\">story of their search<\/a>. It includes interactive maps that recount the mission using embedded videos showing how the data was collected and what the new bathymetry looks like compared to previous seafloor maps in the area.\r\n\r\n\u201cThis difficult search united teams across Geoscience Australia to rigorously apply science and technology to this important task,\u201d McCabe said. \u201cWe\u2019re all disappointed that we did not find the aircraft, and we\u2019re hopeful that the survey work will eventually lead to its discovery to provide closure for the families of the missing passengers and crew.\u201d\r\n\r\nAlthough the mystery of the loss of the aircraft hasn\u2019t been solved, the seafloor maps from the search will benefit scientific explorations of the southern Indian Ocean for years to come. Geoscience Australia published the first phase of data in 2017. The second phase of the data will be released later this year.\r\n\r\n&nbsp;\r\n\r\nLearn how ocean scientists, resource managers, and conservationists\u00a0<a href=\"http:\/\/www.esri.com\/industries\/oceans\">use GIS<\/a>\u00a0to assess deep ocean features and guide sustainable ocean practices.\u00a0Learn how <a href=\"http:\/\/www.esri.com\/software\/arcgis\/smart-mapping\">smart mapping<\/a> makes mapping easier and more impactful.\r\n\r\n&nbsp;"},{"acf_fc_layout":"image","image":25891,"image_position":"center","orientation":"horizontal","hyperlink":"https:\/\/ralphnaderradiohour.com\/good-news-for-the-environment\/"}],"references":null},"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v25.9 (Yoast SEO v25.9) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>MH370 Search Mission Yields Map with Lasting Purpose<\/title>\n<meta name=\"description\" content=\"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Downed Airliner Search Mission Yields Map with Lasting Purpose\" \/>\n<meta property=\"og:description\" content=\"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose\" \/>\n<meta property=\"og:site_name\" content=\"Esri\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/esrigis\/\" \/>\n<meta property=\"article:modified_time\" content=\"2024-03-06T22:18:40+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:site\" content=\"@Esri\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"7 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\n\t    \"@context\": \"https:\/\/schema.org\",\n\t    \"@graph\": [\n\t        {\n\t            \"@type\": \"WebPage\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose\",\n\t            \"name\": \"MH370 Search Mission Yields Map with Lasting Purpose\",\n\t            \"isPartOf\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\"\n\t            },\n\t            \"primaryImageOfPage\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage\"\n\t            },\n\t            \"image\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage\"\n\t            },\n\t            \"thumbnailUrl\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg\",\n\t            \"datePublished\": \"2018-03-21T13:07:44+00:00\",\n\t            \"dateModified\": \"2024-03-06T22:18:40+00:00\",\n\t            \"description\": \"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.\",\n\t            \"breadcrumb\": {\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#breadcrumb\"\n\t            },\n\t            \"inLanguage\": \"en-US\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"ReadAction\",\n\t                    \"target\": [\n\t                        \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose\"\n\t                    ]\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"ImageObject\",\n\t            \"inLanguage\": \"en-US\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg\",\n\t            \"contentUrl\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg\",\n\t            \"width\": 826,\n\t            \"height\": 465\n\t        },\n\t        {\n\t            \"@type\": \"BreadcrumbList\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#breadcrumb\",\n\t            \"itemListElement\": [\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 1,\n\t                    \"name\": \"Home\",\n\t                    \"item\": \"https:\/\/www.esri.com\/about\/newsroom\"\n\t                },\n\t                {\n\t                    \"@type\": \"ListItem\",\n\t                    \"position\": 2,\n\t                    \"name\": \"Downed Airliner Search Mission Yields Map with Lasting Purpose\"\n\t                }\n\t            ]\n\t        },\n\t        {\n\t            \"@type\": \"WebSite\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#website\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/\",\n\t            \"name\": \"Esri\",\n\t            \"description\": \"Esri Newsroom\",\n\t            \"potentialAction\": [\n\t                {\n\t                    \"@type\": \"SearchAction\",\n\t                    \"target\": {\n\t                        \"@type\": \"EntryPoint\",\n\t                        \"urlTemplate\": \"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}\"\n\t                    },\n\t                    \"query-input\": {\n\t                        \"@type\": \"PropertyValueSpecification\",\n\t                        \"valueRequired\": true,\n\t                        \"valueName\": \"search_term_string\"\n\t                    }\n\t                }\n\t            ],\n\t            \"inLanguage\": \"en-US\"\n\t        },\n\t        {\n\t            \"@type\": \"Person\",\n\t            \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/7b29b491844c5f2623fe40353f9e0a0e\",\n\t            \"name\": \"Dr. Dawn Wright\",\n\t            \"image\": {\n\t                \"@type\": \"ImageObject\",\n\t                \"inLanguage\": \"en-US\",\n\t                \"@id\": \"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/image\/\",\n\t                \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/09\/Wright_Dawn_600.jpg\",\n\t                \"contentUrl\": \"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/09\/Wright_Dawn_600.jpg\",\n\t                \"caption\": \"Dr. Dawn Wright\"\n\t            },\n\t            \"description\": \"Dawn Wright is Chief Scientist of Esri. She works to strengthen the scientific foundation for the company\u2019s products and services. Notably, Dawn led the team that created the Ecological Marine Units (EMUs), a 3D digital ocean that creates better understanding of marine environments and how to plan for more sustainable activities there in the wake of climate change. Dawn joined Esri in 2011, and has written and contributed to some of the most definitive literature on marine geographic information system (GIS) technology. An elected member of both the National Academy of Sciences and the National Academy of Engineering, as well as the American Academy of Arts &amp; Sciences, she earned her doctorate in Physical Geography and Marine Geology from UC Santa Barbara. In 2022, Dawn became the first Black person to visit the Challenger Deep in the Pacific Ocean, the deepest and most unexplored place on planet Earth.\",\n\t            \"sameAs\": [\n\t                \"http:\/\/www.esri.com\"\n\t            ],\n\t            \"honorificSuffix\": \"Ph.D.\",\n\t            \"url\": \"https:\/\/www.esri.com\/about\/newsroom\/author\/dawn-wright\"\n\t        }\n\t    ]\n\t}<\/script>\n<!-- \/ Yoast SEO Premium plugin. -->","yoast_head_json":{"title":"MH370 Search Mission Yields Map with Lasting Purpose","description":"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose","og_locale":"en_US","og_type":"article","og_title":"Downed Airliner Search Mission Yields Map with Lasting Purpose","og_description":"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.","og_url":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose","og_site_name":"Esri","article_publisher":"https:\/\/www.facebook.com\/esrigis\/","article_modified_time":"2024-03-06T22:18:40+00:00","og_image":[{"url":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg","type":"","width":"","height":""}],"twitter_card":"summary_large_image","twitter_site":"@Esri","twitter_misc":{"Est. reading time":"7 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose","url":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose","name":"MH370 Search Mission Yields Map with Lasting Purpose","isPartOf":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/#website"},"primaryImageOfPage":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage"},"image":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage"},"thumbnailUrl":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg","datePublished":"2018-03-21T13:07:44+00:00","dateModified":"2024-03-06T22:18:40+00:00","description":"MH370\u2019s presumed flight path across the Indian Ocean required a detailed mapping effort that, while unsuccessful in the search, continues to inform science.","breadcrumb":{"@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#primaryimage","url":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg","contentUrl":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2018\/03\/SearchCoverage_826.jpg","width":826,"height":465},{"@type":"BreadcrumbList","@id":"https:\/\/www.esri.com\/about\/newsroom\/blog\/mh370-search-mission-yields-map-with-lasting-purpose#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https:\/\/www.esri.com\/about\/newsroom"},{"@type":"ListItem","position":2,"name":"Downed Airliner Search Mission Yields Map with Lasting Purpose"}]},{"@type":"WebSite","@id":"https:\/\/www.esri.com\/about\/newsroom\/#website","url":"https:\/\/www.esri.com\/about\/newsroom\/","name":"Esri","description":"Esri Newsroom","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/www.esri.com\/about\/newsroom\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/7b29b491844c5f2623fe40353f9e0a0e","name":"Dr. Dawn Wright","image":{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/www.esri.com\/about\/newsroom\/#\/schema\/person\/image\/","url":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/09\/Wright_Dawn_600.jpg","contentUrl":"https:\/\/www.esri.com\/about\/newsroom\/app\/uploads\/2017\/09\/Wright_Dawn_600.jpg","caption":"Dr. Dawn Wright"},"description":"Dawn Wright is Chief Scientist of Esri. She works to strengthen the scientific foundation for the company\u2019s products and services. Notably, Dawn led the team that created the Ecological Marine Units (EMUs), a 3D digital ocean that creates better understanding of marine environments and how to plan for more sustainable activities there in the wake of climate change. Dawn joined Esri in 2011, and has written and contributed to some of the most definitive literature on marine geographic information system (GIS) technology. An elected member of both the National Academy of Sciences and the National Academy of Engineering, as well as the American Academy of Arts &amp; Sciences, she earned her doctorate in Physical Geography and Marine Geology from UC Santa Barbara. In 2022, Dawn became the first Black person to visit the Challenger Deep in the Pacific Ocean, the deepest and most unexplored place on planet Earth.","sameAs":["http:\/\/www.esri.com"],"honorificSuffix":"Ph.D.","url":"https:\/\/www.esri.com\/about\/newsroom\/author\/dawn-wright"}]}},"_links":{"self":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/blog\/25701","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/blog"}],"about":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/types\/blog"}],"author":[{"embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/users\/841"}],"version-history":[{"count":0,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/blog\/25701\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/media\/25731"}],"wp:attachment":[{"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/media?parent=25701"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/categories?post=25701"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/tags?post=25701"},{"taxonomy":"industry","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/industry?post=25701"},{"taxonomy":"esri-blog-category","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/esri-blog-category?post=25701"},{"taxonomy":"esri_blog_department","embeddable":true,"href":"https:\/\/www.esri.com\/about\/newsroom\/wp-json\/wp\/v2\/esri_blog_department?post=25701"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}