{"id":955,"date":"2020-03-05T12:02:17","date_gmt":"2020-03-05T17:02:17","guid":{"rendered":"http:\/\/pages.charlotte.edu\/gang-chen\/?page_id=955"},"modified":"2022-06-02T13:38:25","modified_gmt":"2022-06-02T18:38:25","slug":"research-products","status":"publish","type":"page","link":"https:\/\/pages.charlotte.edu\/gang-chen\/research-products\/","title":{"rendered":"Research Products"},"content":{"rendered":"\n

Product 1: <\/strong> UrbanWatch: A 1-meter resolution land cover and land use database for major cities in the United States<\/strong><\/p>\n\n\n\n

UrbanWatch is a 1-meter resolution, open-access land cover and land use (LCLU) database for major cities across the conterminous United States. UrbanWatch contains 9 LCLU classes, i.e., building, road, parking lot, tree canopy, grass\/shrub, water, agriculture, barren, and others, with an overall accuracy of 91.52%. The data are open access through: https:\/\/urbanwatch.charlotte.edu\/<\/a>. A paper describing the details about UrbanWatch has been published in Remote Sensing of Environment<\/em>.<\/p>\n\n\n\n

Zhang, Y., Chen, G., Myint, S.W., Zhou, Y., Hay, G.J., Vukomanovic, J., & Meentemeyer, R.K. (2022).\u00a0UrbanWatch: A 1-meter resolution land cover and land use database for 22 major cities in the United States<\/a>.\u00a0Remote Sensing of Environment<\/em>, 278: 113106.<\/p>\n\n\n\n

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Figure: Examples of various types of LCLU (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), demonstrating intraclass or interclass variation. <\/strong><\/figcaption><\/figure>\n\n\n\n

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Product 2: Shadow Semantic Annotation Database (SSAD)<\/strong><\/p>\n\n\n\n

This database was developed for extracting fine-scale land cover in shadows from high-resolution remote sensing imagery. It comprises 103 image patches (500\u00d7500 pixels per patch, 1.0-meter resolution) containing various types of shadows and six major land-cover classes \u2013 building, tree, grass\/shrub, road, water, and farmland. A paper describing the details about the SSAD and the use of this database has been published in Remote Sensing of Environment<\/em>.<\/p>\n\n\n\n

Zhang, Y., Chen, G., Vukomanovic, J., Singh K.K., Liu, Y., Holden, S., & Meentemeyer, R.K. (2020). Recurrent Shadow Attention Model (RSAM) for shadow removal in high-resolution urban land-cover mapping<\/a>. Remote Sensing of Environment<\/em>, 247, 111945. <\/p>\n\n\n\n

The database is freely accessible (click HERE<\/a>). <\/p>\n\n\n\n

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Figure: Three sample patches along an urban-rural gradient from SSAD: (a) NAIP Infrared-Red-Green image composites, (b) SSAD Category (i) results, and (c) SSAD Category (ii) results.<\/strong> <\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"

Product 1: UrbanWatch: A 1-meter resolution land cover and land use database for major cities in the United States UrbanWatch is a 1-meter resolution, open-access land cover and land use (LCLU) database for major cities across the conterminous United States. UrbanWatch contains 9 LCLU classes, i.e., building, road, parking lot, tree canopy, grass\/shrub, water, agriculture, […]<\/p>\n","protected":false},"author":44,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"jetpack_post_was_ever_published":false,"footnotes":""},"class_list":["post-955","page","type-page","status-publish","hentry"],"jetpack_shortlink":"https:\/\/wp.me\/P2VSMp-fp","jetpack_sharing_enabled":true,"jetpack_likes_enabled":true,"_links":{"self":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/955","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/types\/page"}],"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=955"}],"version-history":[{"count":18,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/955\/revisions"}],"predecessor-version":[{"id":1127,"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/pages\/955\/revisions\/1127"}],"wp:attachment":[{"href":"https:\/\/pages.charlotte.edu\/gang-chen\/wp-json\/wp\/v2\/media?parent=955"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}