{"id":815395,"date":"2022-02-24T09:58:59","date_gmt":"2022-02-24T17:58:59","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-project&p=815395"},"modified":"2022-02-24T09:59:01","modified_gmt":"2022-02-24T17:59:01","slug":"glacier-mapping","status":"publish","type":"msr-project","link":"https:\/\/www.microsoft.com\/en-us\/research\/project\/glacier-mapping\/","title":{"rendered":"Glacier Mapping"},"content":{"rendered":"
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Glacier mapping and glacial lakes monitoring<\/h1>\n\n\n\n

A machine learning-based approach to support ecological monitoring <\/p>\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

Glacier mapping is key to ecological monitoring in the Hindu Kush Himalaya region. Climate change poses a risk to individuals whose livelihoods depend on the health of glacier ecosystems. In this work, we present a machine learning based approach to support ecological monitoring, with a focus on glaciers. Our approach is based on semi-automated mapping from satellite images. We utilize readily available remote sensing data to create a model to identify and outline both clean ice and debris-covered glaciers from satellite imagery. We also release data and develop a web tool that allows experts to visualize and correct model predictions, with the ultimate aim of accelerating the glacier mapping process.<\/p>\n\n\n\n

Get the glacier mapping code > (opens in new tab)<\/span><\/a><\/p>\n\n\n\n

Get the glacier mapping dataset > (opens in new tab)<\/span><\/a><\/p>\n\n\n","protected":false},"excerpt":{"rendered":"

Glacier mapping and glacial lakes monitoring uses a machine learning-based approach to support ecological monitoring.<\/p>\n","protected":false},"featured_media":817117,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"research-area":[13556,198583],"msr-locale":[268875],"msr-impact-theme":[261670],"msr-pillar":[],"class_list":["post-815395","msr-project","type-msr-project","status-publish","has-post-thumbnail","hentry","msr-research-area-artificial-intelligence","msr-research-area-ecology-environment","msr-locale-en_us","msr-archive-status-active"],"msr_project_start":"","related-publications":[726268,897240],"related-downloads":[],"related-videos":[],"related-groups":[],"related-events":[],"related-opportunities":[],"related-posts":[],"related-articles":[],"tab-content":[],"slides":[],"related-researchers":[{"type":"user_nicename","display_name":"Anthony Ortiz","user_id":39715,"people_section":"Section name 0","alias":"anort"},{"type":"user_nicename","display_name":"Juan M. Lavista Ferres","user_id":39552,"people_section":"Section name 0","alias":"jlavista"},{"type":"guest","display_name":"Tenzing Sherpa","user_id":820849,"people_section":"Section name 0","alias":""},{"type":"guest","display_name":"Finu Shrestha","user_id":820858,"people_section":"Section name 0","alias":""},{"type":"guest","display_name":"Yoshua Bengio","user_id":487475,"people_section":"Section name 0","alias":""},{"type":"guest","display_name":"Kris Sankaran","user_id":819106,"people_section":"Section name 0","alias":""},{"type":"guest","display_name":"Mir Matin","user_id":820861,"people_section":"Section name 0","alias":""},{"type":"guest","display_name":"Jane Wang","user_id":798076,"people_section":"Section name 0","alias":""},{"type":"user_nicename","display_name":"Rahul Dodhia","user_id":41401,"people_section":"Section name 0","alias":"radodhia"}],"msr_research_lab":[],"msr_impact_theme":["Resilience"],"_links":{"self":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/815395"}],"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":8,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/815395\/revisions"}],"predecessor-version":[{"id":822004,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-project\/815395\/revisions\/822004"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media\/817117"}],"wp:attachment":[{"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/media?parent=815395"}],"wp:term":[{"taxonomy":"msr-research-area","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/research-area?post=815395"},{"taxonomy":"msr-locale","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-locale?post=815395"},{"taxonomy":"msr-impact-theme","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-impact-theme?post=815395"},{"taxonomy":"msr-pillar","embeddable":true,"href":"https:\/\/www.microsoft.com\/en-us\/research\/wp-json\/wp\/v2\/msr-pillar?post=815395"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}