{"id":88,"date":"2019-04-24T02:27:39","date_gmt":"2019-04-24T02:27:39","guid":{"rendered":"http:\/\/hilarious-eel.w5.wpsandbox.pro\/?page_id=88"},"modified":"2026-07-26T17:30:41","modified_gmt":"2026-07-26T09:30:41","slug":"publications","status":"publish","type":"page","link":"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/","title":{"rendered":"Publications"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-post\" data-elementor-id=\"88\" class=\"elementor elementor-88\">\n\t\t\t\t<div class=\"elementor-element elementor-element-ccd568f e-flex e-con-boxed e-con e-parent\" data-id=\"ccd568f\" data-element_type=\"container\">\n\t\t\t\t\t<div class=\"e-con-inner\">\n\t\t\t\t<div class=\"elementor-element elementor-element-8f8681b elementor-widget elementor-widget-heading\" data-id=\"8f8681b\" data-element_type=\"widget\" data-widget_type=\"heading.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t<h1 class=\"elementor-heading-title elementor-size-default\"><h1 style=\"font-family: var(--uwDisplayFont);font-size: 2.25rem;font-style: normal;margin-top: 2.2rem;margin-bottom: 0.5rem;position: relative;letter-spacing: normal;text-transform: none\">Publications<span style=\"color: var( --e-global-color-primary );font-family: var( --e-global-typography-primary-font-family ), Sans-serif;font-size: var( --e-global-typography-primary-font-size );font-style: inherit;font-weight: var( --e-global-typography-primary-font-weight );letter-spacing: var( --e-global-typography-primary-letter-spacing );text-transform: var( --e-global-typography-primary-text-transform );text-align: var(--text-align)\"><\/span><\/h1><\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-fcef87d elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"fcef87d\" data-element_type=\"section\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-6351fb8\" data-id=\"6351fb8\" data-element_type=\"column\" data-settings=\"{&quot;background_background&quot;:&quot;classic&quot;}\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-3482ddc elementor-drop-cap-yes elementor-drop-cap-view-default elementor-widget elementor-widget-text-editor\" data-id=\"3482ddc\" data-element_type=\"widget\" data-settings=\"{&quot;drop_cap&quot;:&quot;yes&quot;}\" data-widget_type=\"text-editor.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t\t\t<p>\u00a0<\/p><p><style>\n        \/* \u5e73\u6ed1\u6eda\u52a8\u914d\u7f6e *\/<br \/>        html {<br \/>            scroll-behavior: smooth;<br \/>            scroll-padding-top: 80px; \/* \u6839\u636e\u5bfc\u822a\u680f\u9ad8\u5ea6\u8c03\u6574 *\/<br \/>        }<\/p>\n<p>        \/* \u56fa\u5b9a\u5bfc\u822a\u680f\u6837\u5f0f *\/<br \/>        .year-nav {<br \/>            position: sticky;<br \/>            top: 0;<br \/>            background: white;<br \/>            z-index: 100;<br \/>            padding: 15px 0;<br \/>            box-shadow: 0 2px 10px rgba(0,0,0,0.1);<br \/>            margin-bottom: 20px;<br \/>        }<\/p>\n<p>        \/* \u5e74\u4efd\u533a\u5757\u6837\u5f0f *\/<br \/>        .article-section {<br \/>            margin-top: 60px;<br \/>            padding-top: 20px;<br \/>            border-top: 1px solid #eee;<br \/>            scroll-margin-top: 80px; \/* \u786e\u4fdd\u6eda\u52a8\u65f6\u4e0d\u4f1a\u88ab\u5bfc\u822a\u680f\u906e\u6321 *\/<br \/>        }<\/p>\n<p>        \/* \u8868\u683c\u6837\u5f0f\u4f18\u5316 *\/<br \/>        table {<br \/>            width: 100%;<br \/>            border-collapse: collapse;<br \/>            margin-bottom: 20px;<br \/>        }<\/p>\n<p>        td {<br \/>            padding: 8px;<br \/>            border-bottom: 1px solid #eee;<br \/>        }<\/p>\n<p>        \/* \u54cd\u5e94\u5f0f\u9002\u914d *\/<br \/>        @media (max-width: 768px) {<br \/>            .year-nav {<br \/>                overflow-x: auto;<br \/>                white-space: nowrap;<br \/>                padding: 10px;<br \/>            }<\/p>\n<p>            td {<br \/>                padding: 4px;<br \/>                font-size: 14px;<br \/>            }<br \/>        }<br \/>    <\/style><\/p><h2>Peer reviewed journal articles<\/h2><p><!-- \u56fa\u5b9a\u5bfc\u822a\u680f --><\/p><div class=\"year-nav\"><a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2025\">2025<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2024\">2024<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2023\">2023<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2022\">2022<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2021\">2021<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2020\">2020<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2019\">2019<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2018\">2018<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2017\">2017<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2016\">2016<\/a> &#8211;\u00a0<a href=\"https:\/\/www.vegetation-dynamics.com\/index.php\/publications\/#2015\">2015<\/a><\/div><p><!-- \u6587\u7ae0\u5185\u5bb9\u5bb9\u5668 --><\/p><div class=\"article-container\"><p><!-- 2025\u5e74\u5185\u5bb9 --><\/p><div id=\"2025\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2025<\/td><td width=\"1261\">Tian YP, <strong><b>Zhao F<\/b><\/strong><strong><b>*<\/b><\/strong>, Meng R, Sun R, Zhang Y, Shen YY, Wang B, Liu J, Li MZ. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271745\/1-s2.0-S0034425724X00231\/1-s2.0-S0034425725001798\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIB3DXqHy8bYnPXBJ250fi%2Fq8HIn9elKzjDQATzstYylXAiAXFLaylIDkG8h\">A vision foundation model-based method for large-scale forest disturbance mapping using time series Sentinel-1 SAR data<\/a>. <em><i>Remote Sensing of Environment<\/i><\/em><\/td><\/tr><tr><td width=\"99\">2025<\/td><td width=\"1261\">Xu BY, Tian HQ*, Pan SF, etc., <strong><b>Zhao F<\/b><\/strong>. <a href=\"https:\/\/essd.copernicus.org\/preprints\/essd-2024-527\/essd-2024-527.pdf\">HIStory of LAND transformation by humans in South America (HISLAND-SA): annual and 1-km crop-specific gridded data (1950\u20132020)<\/a>. <em><i>Earth System Science Data<\/i><\/em>.<\/td><\/tr><\/tbody><\/table><\/div><p><!-- 2024\u5e74\u5185\u5bb9 --><\/p><div id=\"2024\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2024<\/td><td width=\"1261\">Liu T, Li PP, <strong><b>Zhao F<\/b><\/strong>, Liu J, Meng R*. <a href=\"https:\/\/www.mdpi.com\/2072-4292\/16\/17\/3197\">Early-Stage Mapping of Winter Canola by Combining Sentinel-1 and Sentinel-2 Data in Jianghan Plain China<\/a>. <em><i>Remote Sensing<\/i><\/em>, 16:3197.<\/td><\/tr><tr><td width=\"99\">2024<\/td><td width=\"1261\">Lv ZG, Xu BY, Zhong LH, Chen GS, Huang ZH, Sun R, Huang W, <strong><b>Zhao F<\/b><\/strong>, Meng R*. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271304\/1-s2.0-S0168169924X00083\/1-s2.0-S0168169924006239\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOX%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJIMEYCIQCRBo11Iiw21ohPpR7z%2F3LkIF8qn1DbvnftFq7Yb9WZmwIhANsVngKyQtA\">Improved monitoring of southern corn rust using UAV-based multi-view imagery and an attention-based deep learning method<\/a>. <em><i>Computers and Electronics in Agriculture<\/i><\/em>, 224 :109232.<\/td><\/tr><tr><td width=\"99\">2024<\/td><td width=\"1261\">Shen Y, Zhao YT, Chen GS, Lv ZG, <strong><b>Zhao F<\/b><\/strong>, Yang WN, Meng R*. <a href=\"https:\/\/www.sciopen.com\/article\/pdf\/10.12133\/j.smartag.SA202310016.pdf?ifPreview=0\">Identification and Severity Classification of Typical Maize Foliar Diseases Based on Hyperspectral Data. (In Chinese)<\/a>. <em><i>Smart Agriculture <\/i><\/em>2:28-39.<\/td><\/tr><\/tbody><\/table><\/div><p><!-- 2023\u5e74\u5185\u5bb9 --><\/p><div id=\"2023\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2023<\/td><td width=\"1261\"><u>Sun R<\/u>, <strong><b>Zhao F*<\/b><\/strong>, Huang CQ, Huang HB, Zhao P, Ni X, Meng R. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271745\/1-s2.0-S0034425723X00133\/1-s2.0-S0034425723003723\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCICDzhfqeWneetu1KMQlkvA27kfbIz85k102vJk3iNs09AiEA6HCmBc3%2FJa%\">Integration of deep learning algorithms with a Bayesian method for improved characterization of tropical deforestation frontiers using Sentinel-1 SAR imagery<\/a>. <em><i>Remote Sensing of Environment <\/i><\/em>298:113821.<\/td><\/tr><tr><td width=\"99\">2023<\/td><td width=\"1261\"><u>Huang ZH<\/u>, Zhong LH, <strong><b>Zhao F*<\/b><\/strong>, Wu J, Tang H, Lv ZG, Xu BY, Zhou LF, Sun R, Meng R*. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271826\/1-s2.0-S0924271623X00094\/1-s2.0-S0924271623002502\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOb%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCICDzhfqeWneetu1KMQlkvA27kfbIz85k102vJk3iNs09AiEA6HCmBc3%2FJa%\">A spectral-temporal constrained deep learning method for tree species mapping of plantation forests using time series Sentinel-2 imagery<\/a>. <em><i>ISPRS Journal of Photogrammetry and Remote Sensing,<\/i><\/em> 204:397-420.<\/td><\/tr><!-- \u540e\u7eed2023\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837 --><\/tbody><\/table><\/div><p><!-- \u540e\u7eed\u5e74\u4efd\u5185\u5bb9\uff082022-2015\uff09\u4fdd\u6301\u539f\u6837\uff0c\u6bcf\u4e2a\u5e74\u4efd\u5305\u88f9\u5728div\u4e2d --><br \/><!-- 2022\u5e74\u5185\u5bb9 --><\/p><div id=\"2022\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2022<\/td><td width=\"1261\">Meng R, Xu B, <strong><b>Zhao F<\/b><\/strong>*, Dong Y, Wang C, Sun R, Zhou Y, Zhou L, Gong S, Zhang D*. <a href=\"https:\/\/pdf.sciencedirectassets.com\/273184\/1-s2.0-S1618866722X00083\/1-s2.0-S1618866722002138\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIDkQDCkyhF1sZoDWiSOjdTrnxFxwyF8RCsKoQxyUVaOuAiBqZaL2asduHaCzu\">Characterizing the provision and inequality of primary school greenspaces in China\u2019s major cities based on multi-sensor remote sensing<\/a>. <em><i>Urban Forestry and Urban Greening.<\/i><\/em> 76:127670. (<strong><b>Elsevier\u2019s McBride Best Paper Award<\/b><\/strong>)<\/td><\/tr><!-- \u5176\u4ed62022\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837 --><\/tbody><\/table><\/div><p><!-- 2021-2015\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837\uff0c\u6bcf\u4e2a\u5e74\u4efd\u5305\u88f9\u5728div\u4e2d --><br \/><!-- \u6bcf\u4e2a\u5e74\u4efd\u5185\u5bb9\u4fdd\u6301\u539f\u6709\u8868\u683c\u7ed3\u6784\uff0c\u4ec5\u5728\u5916\u5c42\u6dfb\u52a0div\u5bb9\u5668 --><br \/><!-- \u793a\u4f8b\uff1a2021\u5e74\u5185\u5bb9 --><\/p><div id=\"2021\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2021<\/td><td width=\"1261\">Qi M, <strong><b>Zhao F<\/b><\/strong>, Sun T*, Voinov A. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271743\/1-s2.0-S0304380021X00154\/1-s2.0-S0304380021002064\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIAWmzNccq%2FarHHw%2B36isqdDVIPFWkzbSTU8TYQ65z9GdAiBfLibaH34xZ\">Disentangling the relative influence of regeneration processes on marsh plant assembly with a stage-structured plant assembly model<\/a>. <em><i>Ecological Modelling<\/i><\/em>, 455: 109646.<\/td><\/tr><!-- \u5176\u4ed62021\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837 --><\/tbody><\/table><\/div><p><!-- \u540e\u7eed\u5e74\u4efd\uff082020-2015\uff09\u4fdd\u6301\u76f8\u540c\u7ed3\u6784 --><br \/><!-- \u6bcf\u4e2a\u5e74\u4efd\u5185\u5bb9\u4fdd\u6301\u539f\u6709\u8868\u683c\u7ed3\u6784\uff0c\u4ec5\u5728\u5916\u5c42\u6dfb\u52a0div\u5bb9\u5668 --><br \/><!-- \u793a\u4f8b\uff1a2020\u5e74\u5185\u5bb9 --><\/p><div id=\"2020\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2020<\/td><td width=\"1261\">Meng R*, Lv Z, Yan J, Chen G, <strong><b>Zhao F<\/b><\/strong>, Zeng L, <u>Xu B<\/u>. <a href=\"Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification\">Development of Spectral Disease Indices for Southern Corn Rust Detection and Severity Classification<\/a>, <em><i>Remote Sensing<\/i><\/em>, 12(19): 3233.<\/td><\/tr><!-- \u5176\u4ed62020\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837 --><\/tbody><\/table><\/div><p><!-- 2019-2015\u5e74\u5185\u5bb9\u4fdd\u6301\u76f8\u540c\u7ed3\u6784 --><br \/><!-- \u793a\u4f8b\uff1a2019\u5e74\u5185\u5bb9 --><\/p><div id=\"2019\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2019<\/td><td width=\"1261\"><strong><b>Zhao F<\/b><\/strong>*, Meng R, Gu H, Serbin S. <a href=\"https:\/\/ieeexplore.ieee.org\/document\/8900522\">Assessing post-fire tree mortality and biomass change by integrating Lidar and hyperspectral data<\/a>, <em><i>IEEE International Geoscience and Remote Sensing Symposium<\/i><\/em>.<\/td><\/tr><\/tbody><\/table><\/div><p><!-- \u540e\u7eed\u5e74\u4efd\uff082018-2015\uff09\u4fdd\u6301\u76f8\u540c\u7ed3\u6784 --><br \/><!-- \u6bcf\u4e2a\u5e74\u4efd\u5185\u5bb9\u4fdd\u6301\u539f\u6709\u8868\u683c\u7ed3\u6784\uff0c\u4ec5\u5728\u5916\u5c42\u6dfb\u52a0div\u5bb9\u5668 --><br \/><!-- \u793a\u4f8b\uff1a2018\u5e74\u5185\u5bb9 --><\/p><div id=\"2018\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2018<\/td><td width=\"1261\">Xu Y, Yu L*, <strong><b>Zhao F<\/b><\/strong>, Cai X, Zhao J, Lu H, Gong P. <a href=\"Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa\">Tracking annual cropland changes from 1984 to 2016 using time-series Landsat images with a change-detection and post-classification approach: Experiments from three sites in Africa<\/a>, <em><i>Remote Sensing of Environment<\/i><\/em>, 218:13-31.<\/td><\/tr><!-- \u5176\u4ed62018\u5e74\u5185\u5bb9\u4fdd\u6301\u539f\u6837 --><\/tbody><\/table><\/div><p><!-- 2017-2015\u5e74\u5185\u5bb9\u4fdd\u6301\u76f8\u540c\u7ed3\u6784 --><br \/><!-- \u793a\u4f8b\uff1a2017\u5e74\u5185\u5bb9 --><\/p><div id=\"2017\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2017<\/td><td width=\"1261\">Meng R*, Wu J, Schwager K, <strong><b>Zhao F<\/b><\/strong><strong><b>,<\/b><\/strong> Dennison P, Cook B, Brewer K, Green T, and Serbin SP. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271745\/1-s2.0-S0034425717X00023\/1-s2.0-S0034425717300159\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIEeMfQkAnsKjvQ%2FF%2FAWE2zKd2dPzZkfZyfkAvEiebQ0UAiEAjgVO%2FED\">Using high spatial resolution satellite imagery to map forest burn severity across spatial scales in a Pine Barrens ecosystem<\/a>, <em><i>Remote Sensing of Environment, <\/i><\/em>191: 95-109<em><i>.<\/i><\/em><\/td><\/tr><\/tbody><\/table><\/div><p><!-- 2016-2015\u5e74\u5185\u5bb9\u4fdd\u6301\u76f8\u540c\u7ed3\u6784 --><br \/><!-- \u793a\u4f8b\uff1a2016\u5e74\u5185\u5bb9 --><\/p><div id=\"2016\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2016<\/td><td width=\"1261\"><strong><b>Zhao F*<\/b><\/strong>, Meng R, Huang CQ, Zhao M, Zhao FA, Gong P, Yu L, Zhu Z. <a href=\"Long-term post-disturbance forest recovery in the Greater Yellowstone Ecosystem analyzed using Landsat Time Series Stack\">Long-term post-disturbance forest recovery in the Greater Yellowstone Ecosystem analyzed using Landsat Time Series Stack<\/a>, <em><i>Remote Sensing, <\/i><\/em>8: 898<strong><b>.<\/b><\/strong><\/td><\/tr><\/tbody><\/table><\/div><p><!-- 2015\u5e74\u5185\u5bb9 --><\/p><div id=\"2015\" class=\"article-section\"><table><tbody><tr><td width=\"99\">2015<\/td><td width=\"1261\">Meng R, <strong><b>Zhao F<\/b><\/strong>, Sun K, Zhang R, Huang CQ, Yang J*. <a href=\"https:\/\/lweb.cfa.harvard.edu\/~kangsun\/files\/Meng_Analysis%20of%20the%202014%20APEC%20Blue%20in%20Beijing%20using%20more%20than%20one%20decade%20of%20Satellite%20Observations%20Lessons%20learned%20from%20radical%20emission%20control%20measures.pdf\">Analysis of the 2014 \u201cAPEC Blue\u201d in Beijing using more than one decade of satellite observations: lessons learned from radical emission control measures<\/a>, <em><i>Remote Sensing<\/i><\/em>, 7: 15224-15243.<\/td><\/tr><tr><td width=\"99\">2015<\/td><td width=\"1261\"><strong><b>Zhao F*<\/b><\/strong><strong><b>,<\/b><\/strong> Huang CQ, Zhu Z. Use of Vegetation Change Tracker and Support Vector Machine to map disturbance types in Greater Yellowstone Ecosystems in a 1984\u20132010 Landsat time series, <em><i>Geoscience and Remote Sensing Letters, IEEE<\/i><\/em> 12: 1650-1654.<\/td><\/tr><tr><td width=\"99\">2015<\/td><td width=\"1261\"><strong><b>Zhao F*<\/b><\/strong>, Keane R, Zhu Z, Huang CQ. <a href=\"https:\/\/pdf.sciencedirectassets.com\/271259\/1-s2.0-S0378112715X00053\/1-s2.0-S0378112715000225\/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEOf%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJGMEQCIHo0EJGbhuXxRkNgxn%2FE0B8kaAu35hZdZzKMVDJkUIGvAiB73n%2BwMTe3F\">Comparing historical and current wildfire regimes in the northern Rocky Mountains using a landscape succession model<\/a>, <em><i>Forest Ecology and Management<\/i><\/em> 343: 9-21.<\/td><\/tr><\/tbody><\/table><\/div><\/div><p><!-- \u517c\u5bb9\u6027\u811a\u672c --><br \/><script>\n        \/\/ \u517c\u5bb9\u65e7\u7248\u6d4f\u89c8\u5668\u7684\u5e73\u6ed1\u6eda\u52a8\n        document.querySelectorAll('a[href^=\"#\"]').forEach(anchor => {\n            anchor.addEventListener('click', function(e) {\n                e.preventDefault();\n                const target = document.querySelector(this.getAttribute('href'));\n                if(target) {\n                    target.scrollIntoView({ behavior: 'smooth' });\n                }\n            });\n        });\n    <\/script><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Publications \u00a0 Peer reviewed journal articles 2025 &#8211;\u00a02024 &#8211;\u00a02023 &#8211;\u00a02022 &#8211;\u00a02021 &#8211;\u00a02020 &#8211;\u00a02019 &#8211;\u00a02018 &#8211;\u00a02017 &#8211;\u00a02016 &#8211;\u00a02015 2025 Tian YP, Zhao F*, Meng R, Sun R, Zhang Y, Shen YY, Wang B, Liu J, Li MZ. A vision foundation model-based method for large-scale forest disturbance mapping using time series Sentinel-1 SAR data. Remote Sensing of [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":5,"comment_status":"closed","ping_status":"closed","template":"page-templates\/pagebuilder.php","meta":{"footnotes":""},"class_list":["post-88","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/pages\/88","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/comments?post=88"}],"version-history":[{"count":64,"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/pages\/88\/revisions"}],"predecessor-version":[{"id":2813,"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/pages\/88\/revisions\/2813"}],"wp:attachment":[{"href":"https:\/\/www.vegetation-dynamics.com\/index.php\/wp-json\/wp\/v2\/media?parent=88"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}