{"id":5060,"date":"2023-09-04T21:34:17","date_gmt":"2023-09-05T01:34:17","guid":{"rendered":"http:\/\/sites.bu.edu\/urban\/?page_id=5060"},"modified":"2025-12-10T10:48:20","modified_gmt":"2025-12-10T15:48:20","slug":"internship-impacts-cunha-chloris","status":"publish","type":"page","link":"https:\/\/sites.bu.edu\/urban\/internship-impacts-cunha-chloris\/","title":{"rendered":"Biomass Estimation to Aid Industrial Response to Climate Change"},"content":{"rendered":"\n\t<ul class=\"profile-listing profile-format-advanced\">\n\t\t\t\t\t\n<li class=\"profile-item profile-item-advanced has-title post-3183 profile type-profile status-publish hentry\">\n\t<a href=\"https:\/\/sites.bu.edu\/urban\/profile\/daniel-cunha\/\" class=\"profile-link profile-link-advanced\">\n\t\t<figure class=\"profile-photo profile-photo-advanced\">\n\t\t\t<img width=\"150\" height=\"150\" src=\"\/urban\/files\/2021\/09\/DCunha0-150x150.jpg\" class=\"attachment-thumbnail size-thumbnail\" alt=\"Daniel Cunha headshot\" loading=\"lazy\" srcset=\"https:\/\/sites.bu.edu\/urban\/files\/2021\/09\/DCunha0-150x150.jpg 150w, https:\/\/sites.bu.edu\/urban\/files\/2021\/09\/DCunha0-100x100.jpg 100w, https:\/\/sites.bu.edu\/urban\/files\/2021\/09\/DCunha0.jpg 200w\" sizes=\"(max-width: 150px) 100vw, 150px\" \/>\t\t<\/figure>\n\n\t\t<h6 class=\"profile-name profile-name-advanced\">Daniel Cunha<\/h6>\n\t\t<p class=\"profile-title profile-title-advanced\">Mathematics &#038; Statistics<\/p>\t<\/a>\n\n\t\n<\/li>\n\t\t\t<\/ul>\n\n<p><strong>Project Partner: <\/strong><a href=\"https:\/\/www.chloris.earth\/\">Chloris Geospatial<\/a>, Summer 2022<strong><br \/>\n<\/strong><\/p>\n<p><strong>Project summary:\u00a0<\/strong>Terrestrial biomass data are needed for carbon markets to function, and to assist in climate science projections.\u00a0 However, these data are difficult to collect globally, so what is needed are surrogate data sources to enable estimation. Chloris Geospatial&#8217;s goal is to estimate global biomass using remote sensing data. During Daniel&#8217;s time with Chloris, he worked on statistical models of disparate datasets towards improving biomass estimation. This work will help bring the international community closer to an actionable carbon market currency.\u00a0 The partnership resulted in the development of great working relationships and may turn into exciting opportunities down the road.<\/p>\n<p>Project deliverables:<span>\u00a0<\/span><\/p>\n<ul>\n<li><a href=\"https:\/\/github.com\/daniel-s-cunha\/terrestrial_eco_models\">Software<\/a> on Terrestrial Eco-models<\/li>\n<li><span><a href=\"https:\/\/sites.bu.edu\/urban\/files\/2023\/09\/Cunha_Summer-2022_URBAN-Internship-Deliverable.pdf\">Presentation<\/a> on contributions<\/span><\/li>\n<\/ul>\n<p>Click <a href=\"https:\/\/www.youtube.com\/watch?v=5-8MZNHrQhY&amp;list=PLF0SN9CrRTPgcRE1KROD_rWSJgsLbtu_6&amp;index=4\">here<\/a> to see Daniel&#8217;s internship lightning talk.<\/p>\n<p><img loading=\"lazy\" src=\"\/urban\/files\/2025\/12\/biomass-estimation-model-636x298.png\" alt=\"Biomass estimation model\" width=\"636\" height=\"298\" class=\"aligncenter wp-image-7108 size-medium\" srcset=\"https:\/\/sites.bu.edu\/urban\/files\/2025\/12\/biomass-estimation-model-636x298.png 636w, https:\/\/sites.bu.edu\/urban\/files\/2025\/12\/biomass-estimation-model-768x359.png 768w, https:\/\/sites.bu.edu\/urban\/files\/2025\/12\/biomass-estimation-model-800x374.png 800w, https:\/\/sites.bu.edu\/urban\/files\/2025\/12\/biomass-estimation-model.png 1024w\" sizes=\"(max-width: 636px) 100vw, 636px\" \/>Chloris Geospatial&#8217;s goal is to estimate global biomass using remote sensing data.<\/p>\n<figure id=\"attachment1883\" class=\"wp-caption aligncenter\"><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Project Partner: Chloris Geospatial, Summer 2022 Project summary:\u00a0Terrestrial biomass data are needed for carbon markets to function, and to assist in climate science projections.\u00a0 However, these data are difficult to collect globally, so what is needed are surrogate data sources to enable estimation. Chloris Geospatial&#8217;s goal is to estimate global biomass using remote sensing data. [&hellip;]<\/p>\n","protected":false},"author":18240,"featured_media":0,"parent":0,"menu_order":36,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"_links":{"self":[{"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/pages\/5060"}],"collection":[{"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/users\/18240"}],"replies":[{"embeddable":true,"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/comments?post=5060"}],"version-history":[{"count":5,"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/pages\/5060\/revisions"}],"predecessor-version":[{"id":7109,"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/pages\/5060\/revisions\/7109"}],"wp:attachment":[{"href":"https:\/\/sites.bu.edu\/urban\/wp-json\/wp\/v2\/media?parent=5060"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}