{"id":589504,"date":"2020-02-18T17:14:21","date_gmt":"2019-05-23T23:43:52","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&#038;p=589504"},"modified":"2022-03-21T13:03:28","modified_gmt":"2022-03-21T20:03:28","slug":"land-cover-mapping","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/land-cover-mapping\/","title":{"rendered":"Land Cover Mapping"},"content":{"rendered":"<section class=\"mb-3 moray-highlight\">\n\t<div class=\"card-img-overlay mx-lg-0\">\n\t\t<div class=\"card-background  has-background- card-background--full-bleed\">\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1920\" height=\"1272\" src=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/grass.jpg\" class=\"attachment-full size-full\" alt=\"Close-up photo of grass\" style=\"object-position: 40% 42%\" srcset=\"https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/grass.jpg 1920w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/grass-300x199.jpg 300w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/grass-768x509.jpg 768w, https:\/\/www.microsoft.com\/en-us\/research\/wp-content\/uploads\/2019\/05\/grass-1024x678.jpg 1024w\" sizes=\"auto, (max-width: 1920px) 100vw, 1920px\" \/>\t\t<\/div>\n\t\t<!-- Foreground -->\n\t\t<div class=\"card-foreground d-flex mt-md-n5 my-lg-5 px-g px-lg-0\">\n\t\t\t<!-- Container -->\n\t\t\t<div class=\"container d-flex mt-md-n5 my-lg-5 align-self-center\">\n\t\t\t\t<!-- Card wrapper -->\n\t\t\t\t<div class=\"w-100 w-lg-col-5\">\n\t\t\t\t\t<!-- Card -->\n\t\t\t\t\t<div class=\"card material-md-card py-5 px-md-5\">\n\t\t\t\t\t\t<div class=\"card-body \">\n\t\t\t\t\t\t\t\n\t\t\t\t\t\t\t\n\n<h1 id=\"land-cover-mapping\" class=\"h2\">Land Cover Mapping<\/h1>\n\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div>\n\t<\/div>\n<\/section>\n\n\n\n\n\n<div class=\"wp-block-columns is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<p>Environmental scientists use satellite and aerial imagery to understand patterns of land use, in particular to understand the impacts of climate change and human population expansion on Earth&#8217;s natural resources. However, distilling imagery into actionable data \u2013 in the form of land cover maps \u2013 currently requires extensive manual annotation. This work uses computer vision to accelerate this process, allowing environmental scientists and geospatial analysts to spend less time drawing polygons and more time on conservation planning.<\/p>\n\n\n\n<ul class=\"wp-block-list\"><li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/lila.science\/datasets\/chesapeakelandcover\" target=\"_blank\" rel=\"noopener noreferrer\">Access the benchmark datasets ><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li><li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"https:\/\/aka.ms\/landcoverdemo\" target=\"_blank\" rel=\"noopener noreferrer\">View demo of PEARL Microsoft Planetary Computer Land Cover Mapping platform ><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li><li><a class=\"msr-external-link glyph-append glyph-append-open-in-new-tab glyph-append-xsmall\" href=\"http:\/\/developmentseed.org\/\" target=\"_blank\" rel=\"noopener noreferrer\">Learn more about the land cover mapping platform built by Development Seed ><span class=\"sr-only\"> (opens in new tab)<\/span><\/a><\/li><\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-layout-flow wp-block-column-is-layout-flow\">\n<figure class=\"wp-block-embed is-type-video is-provider-youtube wp-block-embed-youtube wp-embed-aspect-16-9 wp-has-aspect-ratio\"><div class=\"wp-block-embed__wrapper\">\n<iframe loading=\"lazy\" title=\"AI for Earth - Land Cover Mapping Demo\" width=\"500\" height=\"281\" src=\"https:\/\/www.youtube-nocookie.com\/embed\/9aFUzUlHQVc?feature=oembed&rel=0\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen><\/iframe>\n<\/div><\/figure>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-buttons is-layout-flex wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button is-style-outline is-style-outline--1\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/land-cover-mapping\/publications\/\">See our publications<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--2\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"https:\/\/www.microsoft.com\/en-us\/research\/project\/land-cover-mapping\/downloads\/\">Get the code<\/a><\/div>\n\n\n\n<div class=\"wp-block-button is-style-outline is-style-outline--3\"><a data-bi-type=\"button\" class=\"wp-block-button__link\" href=\"mailto:landcover@microsoft.com\">Contact us<\/a><\/div>\n<\/div>\n\n\n","protected":false},"excerpt":{"rendered":"<p>Our land cover mapping work uses computer vision to accelerate the process of turning remote sensing data into land use and land cover information, so that environmental scientists and geospatial analysts can spend less time drawing polygons, and more time planning conservation.<\/p>\n","protected":false},"featured_media":597832,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,13562,198583],"msr-locale":[268875],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-589504","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-computer-vision","msr-research-area-ecology-environment","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[589525,617997,637458,637470,637476,684183,768175,771013,771049,809149,814522,899205],"related-downloads":[],"related-videos":[],"related-groups":[696544,768895],"related-events":[],"related-opportunities":[],"related-posts":[579013],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Caleb Robinson","user_id":39606,"people_section":"Section name 1","alias":"davrob"},{"type":"user_nicename","display_name":"Anthony Ortiz","user_id":39715,"people_section":"Section name 1","alias":"anort"},{"type":"guest","display_name":"Le Hou","user_id":589645,"people_section":"Section name 1","alias":""},{"type":"guest","display_name":"Kolya Malkin","user_id":589639,"people_section":"Section name 1","alias":""},{"type":"user_nicename","display_name":"Nebojsa Jojic","user_id":32384,"people_section":"Section name 1","alias":"jojic"},{"type":"guest","display_name":"Dan Morris","user_id":825838,"people_section":"Section name 1","alias":""},{"type":"guest","display_name":"Siyu Yang","user_id":597769,"people_section":"Section name 1","alias":""}],"msr_research_lab":[],"msr_impact_theme":[],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/589504","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project"}],"about":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/types\/msr-project"}],"version-history":[{"count":66,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/589504\/revisions"}],"predecessor-version":[{"id":815053,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/589504\/revisions\/815053"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/597832"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=589504"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=589504"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=589504"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=589504"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=589504"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}