{"id":7346,"date":"2025-09-11T16:33:20","date_gmt":"2025-09-11T08:33:20","guid":{"rendered":"https:\/\/www.nus.edu.sg\/cncs\/?page_id=7346"},"modified":"2025-09-11T16:43:24","modified_gmt":"2025-09-11T08:43:24","slug":"wang-ruoqi","status":"publish","type":"page","link":"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/","title":{"rendered":"Wang Ruoqi"},"content":{"rendered":"\n\n\t\t\t\t<img decoding=\"async\" src=\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2025\/09\/Ruoqi-scaled.jpg\" alt=\"Ruoqi\" itemprop=\"image\" height=\"2560\" width=\"1707\" onerror=\"this.style.display='none'\" loading='lazy' \/>\n\t<p><strong>Wang Ruoqi<\/strong><\/p>\n<p><strong>Academic Qualifications<\/strong><\/p>\n<p>Ph.D. student in Cartography and Geographic Information System, Fujian Normal University, China<\/p>\n<p>B.Sc. in Physical Geography and Resources Environment, Fujian Normal University, China<\/p>\n<p><strong>Research Areas<\/strong><\/p>\n<p>Forest biomass estimation; Remote sensing; Spaceborne LiDAR<\/p>\n<p><strong>Research Interests<\/strong><\/p>\n<p>My research interests lie in forest remote sensing, with a focus on canopy height retrieval and aboveground biomass estimation in subtropical China&#8217;s plantations, secondary and natural forests, including\u00a0optimizing algorithms for large-area canopy-height extraction using spaceborne LiDAR and developing region-to-national biomass modelling with\u00a0multi-source data.<\/p>\n<p><strong>Biography<\/strong><\/p>\n<p>Wang is a PhD student at\u00a0Fujian Normal University. She joined the Centre for Nature-Based Climate Solutions with a scholarship from China Scholarship Council.<\/p>\n<p><strong>Selected publications<\/strong><\/p>\n<ol>\n<li><strong>Ruoqi Wang<\/strong>, Guiying Li, Yagang Lu &amp; Dengsheng Lu (2023). A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data. Geo-spatial Information Science<\/li>\n<li><strong>Ruoqi Wang<\/strong>, Yagang Lu, Dengsheng Lu &amp; Guiying Li (2024). Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions.GIScience &amp; Remote Sensing<\/li>\n<li><strong>Ruoqi Wang<\/strong>, Dengsheng Lu, Guiying Li, Yisa Lia\u00a0&amp;\u00a0Wenjing Liu (2025). Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region. Smart Agricultural Technology<\/li>\n<li>Dengsheng Lu, Xiandie Jiang, Yunhe Li,\u00a0<strong>Ruoqi Wang <\/strong>&amp;\u00a0Guiying Li (2025).\u00a0Forest biomass estimation with LiDAR data. National Remote Sensing Bulletin<\/li>\n<\/ol>\n\n","protected":false},"excerpt":{"rendered":"<p>Wang Ruoqi Academic Qualifications Ph.D. student in Cartography and Geographic Information System, Fujian Normal University, China B.Sc. in Physical Geography and Resources Environment, Fujian Normal University, China Research Areas Forest biomass estimation; Remote sensing; Spaceborne LiDAR Research Interests My research interests lie in forest remote sensing, with a focus on canopy height retrieval and aboveground biomass estimation in subtropical China&#8217;s plantations, secondary and natural forests, including\u00a0optimizing algorithms for large-area canopy-height extraction using spaceborne LiDAR and developing region-to-national biomass modelling with\u00a0multi-source data. Biography Wang is a PhD student at\u00a0Fujian Normal University. She joined the Centre for Nature-Based Climate Solutions with a scholarship from China Scholarship Council. Selected publications Ruoqi Wang, Guiying Li, Yagang Lu &amp; Dengsheng Lu (2023). A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data. Geo-spatial Information Science Ruoqi Wang, Yagang Lu, Dengsheng Lu &amp; Guiying Li (2024). Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions.GIScience &amp; Remote Sensing Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Lia\u00a0&amp;\u00a0Wenjing Liu (2025). Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region. Smart Agricultural Technology Dengsheng Lu, Xiandie Jiang, Yunhe Li,\u00a0Ruoqi Wang &amp;\u00a0Guiying Li (2025).\u00a0Forest biomass estimation with LiDAR data. National Remote Sensing Bulletin<\/p>\n","protected":false},"author":22,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-7346","page","type-page","status-publish","hentry"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Wang Ruoqi - NUS Centre for Nature-based Climate Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Wang Ruoqi - NUS Centre for Nature-based Climate Solutions\" \/>\n<meta property=\"og:description\" content=\"Wang Ruoqi Academic Qualifications Ph.D. student in Cartography and Geographic Information System, Fujian Normal University, China B.Sc. in Physical Geography and Resources Environment, Fujian Normal University, China Research Areas Forest biomass estimation; Remote sensing; Spaceborne LiDAR Research Interests My research interests lie in forest remote sensing, with a focus on canopy height retrieval and aboveground biomass estimation in subtropical China&#8217;s plantations, secondary and natural forests, including\u00a0optimizing algorithms for large-area canopy-height extraction using spaceborne LiDAR and developing region-to-national biomass modelling with\u00a0multi-source data. Biography Wang is a PhD student at\u00a0Fujian Normal University. She joined the Centre for Nature-Based Climate Solutions with a scholarship from China Scholarship Council. Selected publications Ruoqi Wang, Guiying Li, Yagang Lu &amp; Dengsheng Lu (2023). A comparative analysis of grid-based and object-based modeling approaches for poplar forest growing stock volume estimation in plain regions using airborne LIDAR data. Geo-spatial Information Science Ruoqi Wang, Yagang Lu, Dengsheng Lu &amp; Guiying Li (2024). Improving extraction of forest canopy height through reprocessing ICESat-2 ATLAS and GEDI data in sparsely forested plain regions.GIScience &amp; Remote Sensing Ruoqi Wang, Dengsheng Lu, Guiying Li, Yisa Lia\u00a0&amp;\u00a0Wenjing Liu (2025). Forest classification and carbon stock estimation with integration of airborne LiDAR and satellite Gaofen-6 data in a subtropical region. Smart Agricultural Technology Dengsheng Lu, Xiandie Jiang, Yunhe Li,\u00a0Ruoqi Wang &amp;\u00a0Guiying Li (2025).\u00a0Forest biomass estimation with LiDAR data. National Remote Sensing Bulletin\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/\" \/>\n<meta property=\"og:site_name\" content=\"NUS Centre for Nature-based Climate Solutions\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-11T08:43:24+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2025\/09\/Ruoqi-scaled.jpg\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data1\" content=\"3 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/\",\"url\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/\",\"name\":\"Wang Ruoqi - NUS Centre for Nature-based Climate Solutions\",\"isPartOf\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/#primaryimage\"},\"thumbnailUrl\":\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2025\/09\/Ruoqi-scaled.jpg\",\"datePublished\":\"2025-09-11T08:33:20+00:00\",\"dateModified\":\"2025-09-11T08:43:24+00:00\",\"breadcrumb\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/#primaryimage\",\"url\":\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2025\/09\/Ruoqi-scaled.jpg\",\"contentUrl\":\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2025\/09\/Ruoqi-scaled.jpg\",\"width\":1707,\"height\":2560},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/www.nus.edu.sg\/cncs\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Wang Ruoqi\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#website\",\"url\":\"https:\/\/www.nus.edu.sg\/cncs\/\",\"name\":\"NUS Centre for Nature-based Climate Solutions\",\"description\":\"\",\"publisher\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/www.nus.edu.sg\/cncs\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#organization\",\"name\":\"NUS Centre for Nature-based Climate Solutions\",\"url\":\"https:\/\/www.nus.edu.sg\/cncs\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2022\/10\/cropped-CoBrand-CNCS_H_Transparent1-1-1.png\",\"contentUrl\":\"https:\/\/www.nus.edu.sg\/cncs\/wp-content\/uploads\/2022\/10\/cropped-CoBrand-CNCS_H_Transparent1-1-1.png\",\"width\":1131,\"height\":363,\"caption\":\"NUS Centre for Nature-based Climate Solutions\"},\"image\":{\"@id\":\"https:\/\/www.nus.edu.sg\/cncs\/#\/schema\/logo\/image\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Wang Ruoqi - NUS Centre for Nature-based Climate Solutions","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/www.nus.edu.sg\/cncs\/wang-ruoqi\/","og_locale":"en_US","og_type":"article","og_title":"Wang Ruoqi - NUS Centre for Nature-based Climate Solutions","og_description":"Wang Ruoqi Academic Qualifications Ph.D. student in Cartography and Geographic Information System, Fujian Normal University, China B.Sc. in Physical Geography and Resources Environment, Fujian Normal University, China Research Areas Forest biomass estimation; Remote sensing; Spaceborne LiDAR Research Interests My research interests lie in forest remote sensing, with a focus on canopy height retrieval and aboveground biomass estimation in subtropical China&#8217;s plantations, secondary and natural forests, including\u00a0optimizing algorithms for large-area canopy-height extraction using spaceborne LiDAR and developing region-to-national biomass modelling with\u00a0multi-source data. 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