
{"id":1128,"date":"2022-06-03T07:29:57","date_gmt":"2022-06-03T12:29:57","guid":{"rendered":"https:\/\/pages.charlotte.edu\/gang-chen\/?p=1128"},"modified":"2022-06-03T07:29:57","modified_gmt":"2022-06-03T12:29:57","slug":"urbanwatch-1-meter-resolution-urban-land-cover-and-land-use-maps-for-major-u-s-cities","status":"publish","type":"post","link":"https:\/\/pages.charlotte.edu\/gang-chen\/blog\/2022\/06\/03\/urbanwatch-1-meter-resolution-urban-land-cover-and-land-use-maps-for-major-u-s-cities\/","title":{"rendered":"UrbanWatch: 1-meter resolution urban land cover and land use maps for major U.S. cities"},"content":{"rendered":"\n<p>Main characteristics of UrbanWatch:<\/p>\n\n\n\n<p>\u25aa Very high spatial resolution at 1 meter.<\/p>\n\n\n\n<p>\u25aa Open access (free):&nbsp;https:\/\/urbanwatch.charlotte.edu\/product.<\/p>\n\n\n\n<p>\u25aa 9 land cover\/use types: building, road, parking lot, tree canopy, grass\/shrub, water, agriculture, barren, and others.<\/p>\n\n\n\n<p>\u25aa Overall accuracy of 91.52%.<\/p>\n\n\n\n<p>\u25aa Coverage of 23 major U.S. cities (more to add).<\/p>\n\n\n\n<p>\u25aa Peer reviewed and published in&nbsp;the journal&nbsp;Remote Sensing of Environment&nbsp;(ranked <strong>#1<\/strong> in remote sensing, impact factor: 10.164).<\/p>\n\n\n\n<p>\u25aa Cutting-edge AI deep learning algorithm, trained with over 52 million samples to capture diverse land cover and land use types and urban spatial patterns.<\/p>\n\n\n\n<p>\u25aa Below please find some examples of various types of land cover and land use\u00a0(e.g., \u201cA\u201d, \u201cB\u201d, and \u201cAA\u201d) and their corresponding results in UrbanWatch (e.g., \u201cA_1\u201d, \u201cB_1\u201d, and \u201cAA_1\u201d).<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><a href=\"https:\/\/pages.charlotte.edu\/gang-chen\/wp-content\/uploads\/sites\/184\/2022\/06\/UrbanWatch-example-1.jpg\"><img loading=\"lazy\" decoding=\"async\" width=\"790\" height=\"739\" src=\"https:\/\/pages.charlotte.edu\/gang-chen\/wp-content\/uploads\/sites\/184\/2022\/06\/UrbanWatch-example-1.jpg\" alt=\"\" class=\"wp-image-1129\" srcset=\"https:\/\/pages.charlotte.edu\/gang-chen\/wp-content\/uploads\/sites\/184\/2022\/06\/UrbanWatch-example-1.jpg 790w, https:\/\/pages.charlotte.edu\/gang-chen\/wp-content\/uploads\/sites\/184\/2022\/06\/UrbanWatch-example-1-300x281.jpg 300w, https:\/\/pages.charlotte.edu\/gang-chen\/wp-content\/uploads\/sites\/184\/2022\/06\/UrbanWatch-example-1-768x718.jpg 768w\" sizes=\"auto, (max-width: 790px) 100vw, 790px\" \/><\/a><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Main characteristics of UrbanWatch: \u25aa Very high spatial resolution at 1 meter. \u25aa Open access (free):&nbsp;https:\/\/urbanwatch.charlotte.edu\/product. \u25aa 9 land cover\/use types: building, road, parking lot, tree canopy, grass\/shrub, water, agriculture, barren, and others. \u25aa Overall accuracy of 91.52%. \u25aa Coverage of 23 major U.S. cities (more to add). \u25aa Peer reviewed and published in&nbsp;the journal&nbsp;Remote [&hellip;]<\/p>\n","protected":false},"author":44,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[1],"tags":[],"class_list":["post-1128","post","type-post","status-publish","format-standard","hentry","category-updates"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_shortlink":"https:\/\/wp.me\/p2VSMp-ic","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/1128","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/users\/44"}],"replies":[{"embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/comments?post=1128"}],"version-history":[{"count":1,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/1128\/revisions"}],"predecessor-version":[{"id":1130,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/posts\/1128\/revisions\/1130"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/media?parent=1128"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/categories?post=1128"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/tags?post=1128"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}