{"id":148,"date":"2025-10-09T18:25:31","date_gmt":"2025-10-09T18:25:31","guid":{"rendered":"https:\/\/dev.www.purdue.edu\/fnr\/nrsa-lab\/?page_id=148"},"modified":"2025-12-13T19:08:14","modified_gmt":"2025-12-13T19:08:14","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"<div  class=\"section has-padding-bottom-small  page-layout-wide page-layout-two-column\">\n    <div class=\"container\">\n                \n\n<div class=\"wp-block-columns are-vertically-aligned-center page-layout-columns columns is-multiline is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center column is-full-tablet page-layout-main is-layout-flow wp-block-column-is-layout-flow\">\n<h1 class=\"wp-block-heading\">Publications<\/h1>\n<\/div>\n<\/div>\n\n    <\/div>\n<\/div>\n\n<div  class=\"section has-padding-top-small has-padding-bottom-small  page-layout-wide\">\n    <div class=\"container\">\n                \n\n<div class=\"wp-block-columns are-vertically-aligned-center is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">Songlin Fei<\/h2>\n<\/div>\n\n\n\n<div class=\"wp-block-column is-vertically-aligned-center is-layout-flow wp-block-column-is-layout-flow\">\n<div class=\"wp-block-buttons is-content-justification-center is-layout-flex wp-container-core-buttons-is-layout-fe48e5de wp-block-buttons-is-layout-flex\">\n<div class=\"wp-block-button has-custom-width wp-block-button__width-75\"><a class=\"wp-block-button__link wp-element-button\" href=\"https:\/\/scholar.google.com\/citations?hl=en&amp;user=7NTCF5oAAAAJ&amp;view_op=list_works&amp;sortby=pubdate\" target=\"_blank\" rel=\"noreferrer noopener\">Google Scholar<\/a><\/div>\n<\/div>\n<\/div>\n<\/div>\n\n\n\n<div class=\"wp-block-columns page-layout-columns columns is-multiline is-layout-flex wp-container-core-columns-is-layout-8f761849 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column column is-full-tablet page-layout-main is-layout-flow wp-block-column-is-layout-flow\">\n<h3 class=\"wp-block-heading\">Recent Publications<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Songlin Fei, Yawen Lu, Jui-Cheng Chiu, Nabin Khanal, Sizheng Cailean Chen, Qianyu Guo, Dongfang Liu, Yingjie Victor Chen, <em>VidFin: A video-based monocular UAV pipeline for automatic forest inventory in diverse scenes<\/em>, Smart Agricultural Technology, Volume 12, 2025, 101504, ISSN 2772-3755, <a href=\"https:\/\/doi.org\/10.1016\/j.atech.2025.101504\">https:\/\/doi.org\/10.1016\/j.atech.2025.101504<\/a>.<\/li>\n\n\n\n<li>S. Fei., Elliott,\u00a0J. M.,\u00a0E. A. Flaherty,\u00a0R. K. Swihart, and\u00a0J. Jung.\u00a02025.\u00a0Application of lidar and camera traps to model wildlife habitat.\u00a0<em>Journal of Wildlife Management<\/em> 89:e70093. <a href=\"https:\/\/doi.org\/10.1002\/jwmg.70093\">https:\/\/doi.org\/10.1002\/jwmg.70093<\/a><\/li>\n\n\n\n<li>Fei, S., Zhao, C., Hyung, S., Manish, R., Shin, S.-Y., Park, S., and Habib, A.: Framework for the Georeferencing and Processing of BikePack LiDAR Data for Urban Tree Mapping, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 1753\u20131760, <a href=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-G-2025-1753-2025\">https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-G-2025-1753-2025<\/a>, 2025.<\/li>\n\n\n\n<li>Fei, S., Hanafy, H., Shin, S.-Y., Eissa, A. M., Hany, Y., Park, S., and Habib, A.: General Framework for Georeferencing and Interpretation of Multi-Resolution LiDAR Data for Fine-Scale Forest Inventory, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-G-2025, 567\u2013574, <a href=\"https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-G-2025-567-2025\">https:\/\/doi.org\/10.5194\/isprs-archives-XLVIII-G-2025-567-2025<\/a>, 2025.<\/li>\n\n\n\n<li>Fei, S., Warner, C., Wu, F., Gazo, R., &amp; Benes, B.  (2025). Environmental Sensitivity in AI Tree Bark Detection: Identifying Key Factors for Improving Classification Accuracy.\u00a0<em>Algorithms<\/em>,\u00a0<em>18<\/em>(7), 417. <a href=\"https:\/\/doi.org\/10.3390\/a18070417\">https:\/\/doi.org\/10.3390\/a18070417<\/a><\/li>\n\n\n\n<li>Songlin Fei, Knott,\u00a0Jonathan,\u00a0Jianmin Wang,\u00a0David Walker, and\u00a0Grant Domke\u00a0\u00a02025. \u201c\u00a0Robustness of Ecological Indicators to Species Misidentification in the National Forest Inventory of the United States.\u201d\u00a0<em>Ecosphere<\/em>\u00a016(7): e70340.\u00a0<a href=\"https:\/\/doi.org\/10.1002\/ecs2.70340\">https:\/\/doi.org\/10.1002\/ecs2.70340<\/a><\/li>\n\n\n\n<li>Fei, S., Zhao, C., Hanafy, H., Eissa, A., Hany, Y., Habib, A., Shao, J., Integration of Near-Proximal and Proximal Lidar Sensing for Fine-Resolution Forest Inventory. <em>Photogrammetric Engineering &amp; Remote Sensing<\/em>. <a href=\"https:\/\/doi.org\/10.14358\/PERS.24-00122R3\">https:\/\/doi.org\/10.14358\/PERS.24-00122R3<\/a><\/li>\n\n\n\n<li>FocalSR: Revisiting image super-resolution transformers with fourier-transform cross attention layers for remote sensing image enhancement, <em>Geomatica<\/em>, 2025, 100042, ISSN 1195-1036, <a href=\"https:\/\/doi.org\/10.1016\/j.geomat.2024.100042\">https:\/\/doi.org\/10.1016\/j.geomat.2024.100042<\/a><\/li>\n\n\n\n<li>Songlin Fei, Christopher Ardohain, The impacts of training data spatial resolution on deep learning in remote sensing, S<em>cience of Remote Sensing<\/em>, 2025, 100185, ISSN 2666-0172, <a href=\"https:\/\/doi.org\/10.1016\/j.srs.2024.100185\">https:\/\/doi.org\/10.1016\/j.srs.2024.100185<\/a><\/li>\n\n\n\n<li>Songlin Fei, Dennis Heejoon Choi, Isaac S. Morton, Lindsay E. Darling, Jianmin Wang, Bina Thapa, Edward P.F. Price, David N. Zaya,   Brady S. Hardiman, Detecting patches of invasive shrubs using high-density airborne LiDAR data and spectral imagery, <em>Urban Forestry &amp; Urban Greening<\/em>, 2025, 128764, ISSN 1618-8667, <a href=\"https:\/\/doi.org\/10.1016\/j.ufug.2025.128764\">https:\/\/doi.org\/10.1016\/j.ufug.2025.128764<\/a><\/li>\n<\/ul>\n<\/div>\n\n\n\n<div class=\"wp-block-column column is-one-quarter-desktop is-full-tablet is-full-mobile page-layout-sidebar is-layout-flow wp-block-column-is-layout-flow\">\n<p class=\"wp-block-paragraph\"><\/p>\n<\/div>\n<\/div>\n\n    <\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-148","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/pages\/148","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/comments?post=148"}],"version-history":[{"count":8,"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/pages\/148\/revisions"}],"predecessor-version":[{"id":740,"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/pages\/148\/revisions\/740"}],"wp:attachment":[{"href":"https:\/\/www.purdue.edu\/fnr\/nrsa-lab\/wp-json\/wp\/v2\/media?parent=148"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}