{"id":969,"date":"2025-03-25T13:09:30","date_gmt":"2025-03-25T13:09:30","guid":{"rendered":"https:\/\/garslab.com\/?p=969"},"modified":"2025-09-23T08:17:37","modified_gmt":"2025-09-23T08:17:37","slug":"global-fluvial-sediment-dataset","status":"publish","type":"post","link":"https:\/\/garslab.com\/?p=969","title":{"rendered":"Global fluvial Sediment Dataset"},"content":{"rendered":"\n<h2 class=\"wp-block-heading\"><strong>Basic descriptions<\/strong><\/h2>\n\n\n\n<p>The Global fluvial Sediment Dataset (GSED) provides suspended sediment concentration data at the reach scale worldwide from 1985 to 2020, covering 6,383 river segments with channel widths exceeding 120 meters. This dataset is constructed using Landsat-4\/5\/7 satellite imagery based on weighted multi-band ratios model, delivering monthly averaged suspended sediment concentration (mg\/L) for each river segment.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"866\" height=\"849\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png\" alt=\"\" class=\"wp-image-971\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png 866w, https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1-300x294.png 300w, https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1-150x147.png 150w, https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1-768x753.png 768w\" sizes=\"auto, (max-width: 866px) 100vw, 866px\" \/><\/figure>\n\n\n\n<p>The GSED database enables users to analyze spatiotemporal dynamics of suspended sediment transport across riverine systems from upstream to downstream. The long-term monthly records enable the identification of sediment variation trends over nearly 40 years (1985~2020) in areas of interest. For key focus areas such as dams\/reservoirs and estuaries, it also provides evaluation results including dam impoundment times, sediment trapping efficiency of dams, and sediment flux into the ocean. This dataset offers important scientific support for monitoring, managing, and protecting river ecosystems under global climate change and human activities.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Data download<\/strong><\/h2>\n\n\n\n<p>The GSED database is publicly available at the figshare platform: <a href=\"https:\/\/figshare.com\/s\/dde3bffd8e12227e2b26.\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/figshare.com\/s\/dde3bffd8e12227e2b26.<\/a><\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>Related Publications<\/strong><\/h2>\n\n\n\n<p>Sun, X., Tian, L., Fang, H. et al. Changes in global fluvial sediment concentrations and fluxes between 1985 and 2020. Nat Sustain 8, 142\u2013151 (2025). https:\/\/doi.org\/10.1038\/s41893-024-01476-7<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Basic descriptions The Global fluvial Sediment Dataset (GSED) provides suspended sediment concentration data at the reach scale worldwide from 1985 to 2020, covering 6,383 river segments with channel widths exceeding 120 meters. This dataset is constructed using Landsat-4\/5\/7 satellite imagery based on weighted multi-band ratios model, delivering monthly averaged suspended sediment concentration (mg\/L) for each<\/p>\n","protected":false},"author":2,"featured_media":971,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[21,1],"tags":[],"class_list":["post-969","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-biochemical-parameters","category-data"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory<\/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:\/\/garslab.com\/?p=969\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"og:description\" content=\"Basic descriptions The Global fluvial Sediment Dataset (GSED) provides suspended sediment concentration data at the reach scale worldwide from 1985 to 2020, covering 6,383 river segments with channel widths exceeding 120 meters. This dataset is constructed using Landsat-4\/5\/7 satellite imagery based on weighted multi-band ratios model, delivering monthly averaged suspended sediment concentration (mg\/L) for each\" \/>\n<meta property=\"og:url\" content=\"https:\/\/garslab.com\/?p=969\" \/>\n<meta property=\"og:site_name\" content=\"Global Aqua Remote Sensing (GARS) laboratory\" \/>\n<meta property=\"article:published_time\" content=\"2025-03-25T13:09:30+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-09-23T08:17:37+00:00\" \/>\n<meta property=\"og:image\" content=\"http:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png\" \/>\n\t<meta property=\"og:image:width\" content=\"866\" \/>\n\t<meta property=\"og:image:height\" content=\"849\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/png\" \/>\n<meta name=\"author\" content=\"(GARS) laboratory\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"(GARS) laboratory\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\/\/garslab.com\/?p=969\",\"url\":\"https:\/\/garslab.com\/?p=969\",\"name\":\"Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory\",\"isPartOf\":{\"@id\":\"https:\/\/garslab.com\/?lang=en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/garslab.com\/?p=969#primaryimage\"},\"image\":{\"@id\":\"https:\/\/garslab.com\/?p=969#primaryimage\"},\"thumbnailUrl\":\"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png\",\"datePublished\":\"2025-03-25T13:09:30+00:00\",\"dateModified\":\"2025-09-23T08:17:37+00:00\",\"author\":{\"@id\":\"https:\/\/garslab.com\/?lang=en\/#\/schema\/person\/74390600b9516cb8102fef145f5a3f97\"},\"breadcrumb\":{\"@id\":\"https:\/\/garslab.com\/?p=969#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/garslab.com\/?p=969\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/garslab.com\/?p=969#primaryimage\",\"url\":\"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png\",\"contentUrl\":\"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png\",\"width\":866,\"height\":849},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/garslab.com\/?p=969#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"\u9996\u9875\",\"item\":\"https:\/\/garslab.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Global fluvial Sediment Dataset\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/garslab.com\/?lang=en\/#website\",\"url\":\"https:\/\/garslab.com\/?lang=en\/\",\"name\":\"Global Aqua Remote Sensing (GARS) laboratory\",\"description\":\"\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/garslab.com\/?lang=en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/garslab.com\/?lang=en\/#\/schema\/person\/74390600b9516cb8102fef145f5a3f97\",\"name\":\"(GARS) laboratory\",\"url\":\"https:\/\/garslab.com\/?author=2\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory","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:\/\/garslab.com\/?p=969","og_locale":"en_US","og_type":"article","og_title":"Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory","og_description":"Basic descriptions The Global fluvial Sediment Dataset (GSED) provides suspended sediment concentration data at the reach scale worldwide from 1985 to 2020, covering 6,383 river segments with channel widths exceeding 120 meters. This dataset is constructed using Landsat-4\/5\/7 satellite imagery based on weighted multi-band ratios model, delivering monthly averaged suspended sediment concentration (mg\/L) for each","og_url":"https:\/\/garslab.com\/?p=969","og_site_name":"Global Aqua Remote Sensing (GARS) laboratory","article_published_time":"2025-03-25T13:09:30+00:00","article_modified_time":"2025-09-23T08:17:37+00:00","og_image":[{"width":866,"height":849,"url":"http:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png","type":"image\/png"}],"author":"(GARS) laboratory","twitter_card":"summary_large_image","twitter_misc":{"Written by":"(GARS) laboratory","Est. reading time":"2 minutes"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"WebPage","@id":"https:\/\/garslab.com\/?p=969","url":"https:\/\/garslab.com\/?p=969","name":"Global fluvial Sediment Dataset - Global Aqua Remote Sensing (GARS) laboratory","isPartOf":{"@id":"https:\/\/garslab.com\/?lang=en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/garslab.com\/?p=969#primaryimage"},"image":{"@id":"https:\/\/garslab.com\/?p=969#primaryimage"},"thumbnailUrl":"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png","datePublished":"2025-03-25T13:09:30+00:00","dateModified":"2025-09-23T08:17:37+00:00","author":{"@id":"https:\/\/garslab.com\/?lang=en\/#\/schema\/person\/74390600b9516cb8102fef145f5a3f97"},"breadcrumb":{"@id":"https:\/\/garslab.com\/?p=969#breadcrumb"},"inLanguage":"en-US","potentialAction":[{"@type":"ReadAction","target":["https:\/\/garslab.com\/?p=969"]}]},{"@type":"ImageObject","inLanguage":"en-US","@id":"https:\/\/garslab.com\/?p=969#primaryimage","url":"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png","contentUrl":"https:\/\/garslab.com\/wp-content\/uploads\/2025\/03\/image-1.png","width":866,"height":849},{"@type":"BreadcrumbList","@id":"https:\/\/garslab.com\/?p=969#breadcrumb","itemListElement":[{"@type":"ListItem","position":1,"name":"\u9996\u9875","item":"https:\/\/garslab.com\/"},{"@type":"ListItem","position":2,"name":"Global fluvial Sediment Dataset"}]},{"@type":"WebSite","@id":"https:\/\/garslab.com\/?lang=en\/#website","url":"https:\/\/garslab.com\/?lang=en\/","name":"Global Aqua Remote Sensing (GARS) laboratory","description":"","potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/garslab.com\/?lang=en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"en-US"},{"@type":"Person","@id":"https:\/\/garslab.com\/?lang=en\/#\/schema\/person\/74390600b9516cb8102fef145f5a3f97","name":"(GARS) laboratory","url":"https:\/\/garslab.com\/?author=2"}]}},"_links":{"self":[{"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/posts\/969","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/garslab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=969"}],"version-history":[{"count":2,"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/posts\/969\/revisions"}],"predecessor-version":[{"id":1268,"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/posts\/969\/revisions\/1268"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/garslab.com\/index.php?rest_route=\/wp\/v2\/media\/971"}],"wp:attachment":[{"href":"https:\/\/garslab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=969"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/garslab.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=969"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/garslab.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=969"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}