{"id":414,"date":"2023-12-13T09:39:46","date_gmt":"2023-12-13T09:39:46","guid":{"rendered":"https:\/\/garslab.com\/?page_id=414"},"modified":"2025-08-02T09:08:34","modified_gmt":"2025-08-02T09:08:34","slug":"%e9%a6%96%e9%a1%b5","status":"publish","type":"page","link":"https:\/\/garslab.com\/","title":{"rendered":"Home"},"content":{"rendered":"\n<div class=\"row align-middle\"  id=\"row-2124101444\">\n\n\n\t<div id=\"col-1892452522\" class=\"col medium-6 small-12 large-6\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\n<div class=\"row\"  id=\"row-702892238\">\n\n\n\t<div id=\"col-165307616\" class=\"col small-12 large-12\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\n<div>\u00a0 \u00a0 Welcome to the Global Aqua Remote Sensing (GARS) laboratory. Our research is dedicated to observing global aquatic environments using advanced remote sensing techniques. We focus on exploring the spatial and temporal changes of these environments and their potential impacts. By combining remote sensing with numerical modeling and field surveys, our goal is to gain a comprehensive understanding of aquatic environment dynamics and their extensive effects on both ecosystems and human activities.<\/div>\n<div>\u00a0<\/div>\n<div>\u00a0 \u00a0 Over the years, our team has developed a wealth of datasets pertaining to the remote sensing of aquatic environments. We are enthusiastic about collaborating and invite researchers and professionals interested in this field to explore and utilize these datasets. Our lab is committed to fostering collaborative efforts that can further our understanding and contribute to meaningful scientific and environmental advancements.<\/div>\n<div>\u00a0<\/div>\n<div>\u00a0 \u00a0 We are also looking for passionate Postdocs, Ph.D., Master, and Undergraduate students to<a href=\"https:\/\/garslab.com\/?page_id=562&amp;lang=en\"> join the team<\/a>!<\/div>\n\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\n\n<\/div>\n\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\n\n\t<div id=\"col-92490285\" class=\"col medium-6 small-12 large-6\"  >\n\t\t\t\t<div class=\"col-inner\"  >\n\t\t\t\n\t\t\t\n\n\t<div class=\"img has-hover x md-x lg-x y md-y lg-y\" id=\"image_189808266\">\n\t\t\t\t\t\t\t\t<div class=\"img-inner dark\" >\n\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"1020\" height=\"680\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920-1024x683.jpg\" class=\"attachment-large size-large\" alt=\"\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920-1024x683.jpg 1024w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920-300x200.jpg 300w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920-768x512.jpg 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920-1536x1024.jpg 1536w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/11\/2022102811244920.jpg 1872w\" sizes=\"auto, (max-width: 1020px) 100vw, 1020px\" \/>\t\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\n<style>\n#image_189808266 {\n  width: 100%;\n}\n<\/style>\n\t<\/div>\n\t\n\n\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\n\t\n\n<\/div>\n<div class=\"container section-title-container\" ><h3 class=\"section-title section-title-normal\"><b><\/b><span class=\"section-title-main\" ><i class=\"icon-play\" ><\/i>Data<\/span><b><\/b><a href=\"https:\/\/garslab.com\/?cat=1&lang=en\" target >More<i class=\"icon-angle-right\" ><\/i><\/a><\/h3><\/div>\n\n\n  \n    <div class=\"row large-columns-2 medium-columns-1 small-columns-1 row-collapse\" >\n  <div class=\"col post-item\" >\n\t\t\t<div class=\"col-inner\">\n\t\t\t\t<div class=\"box box-normal box-text-bottom box-blog-post has-hover\">\n            \t\t\t\t\t<div class=\"box-image\" >\n  \t\t\t\t\t\t<div class=\"image-cover\" style=\"padding-top:50%;\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=460\" class=\"plain\" aria-label=\"Global Coastal Algal Bloom\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"530\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-6-768x530.png\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-6-768x530.png 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-6-300x207.png 300w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-6-150x104.png 150w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-6.png 831w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t<\/a>\n  \t\t\t\t\t\t\t  \t\t\t\t\t\t\t  \t\t\t\t\t\t<\/div>\n  \t\t\t\t\t\t  \t\t\t\t\t<\/div>\n          \t\t\t\t\t<div class=\"box-text text-center\" >\n\t\t\t\t\t<div class=\"box-text-inner blog-post-inner\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<h5 class=\"post-title is-large \">\n\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=460\" class=\"plain\">Global Coastal Algal Bloom<\/a>\n\t\t\t\t\t<\/h5>\n\t\t\t\t\t\t\t\t\t\t<div class=\"is-divider\"><\/div>\n\t\t\t\t\t\t\t\t\t\t<p class=\"from_the_blog_excerpt \">\n\t\t\t\t\t\tBasic descriptions The Global Coastal Algal Bloom Dataset is derived from daily MODIS satellite images with a resolution of 1 km, totaling 0.76 million images globally, spanning the period from 2003 to 2020. It captures the occurrences of coastal blooms for\t\t\t\t\t<\/p>\n\t\t\t\t\t                    \n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><div class=\"col post-item\" >\n\t\t\t<div class=\"col-inner\">\n\t\t\t\t<div class=\"box box-normal box-text-bottom box-blog-post has-hover\">\n            \t\t\t\t\t<div class=\"box-image\" >\n  \t\t\t\t\t\t<div class=\"image-cover\" style=\"padding-top:50%;\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=328\" class=\"plain\" aria-label=\"Global Lake Algal Bloom\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"736\" height=\"557\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/Global-lake-algal-bloom-dataset.png\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/Global-lake-algal-bloom-dataset.png 736w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/Global-lake-algal-bloom-dataset-300x227.png 300w\" sizes=\"auto, (max-width: 736px) 100vw, 736px\" \/>\t\t\t\t\t\t\t<\/a>\n  \t\t\t\t\t\t\t  \t\t\t\t\t\t\t  \t\t\t\t\t\t<\/div>\n  \t\t\t\t\t\t  \t\t\t\t\t<\/div>\n          \t\t\t\t\t<div class=\"box-text text-center\" >\n\t\t\t\t\t<div class=\"box-text-inner blog-post-inner\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<h5 class=\"post-title is-large \">\n\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=328\" class=\"plain\">Global Lake Algal Bloom<\/a>\n\t\t\t\t\t<\/h5>\n\t\t\t\t\t\t\t\t\t\t<div class=\"is-divider\"><\/div>\n\t\t\t\t\t\t\t\t\t\t<p class=\"from_the_blog_excerpt \">\n\t\t\t\t\t\tBasic descriptions This dataset provides maximum bloom extent (MBE, in km2) and median bloom occurrence (BO, in %) for 21,878 freshwater lakes worldwide in the entire period (1980s-2010s) and three sub-periods (1980\u20131990s, 2000s and 2010s), which was generated using Landsat satellite\t\t\t\t\t<\/p>\n\t\t\t\t\t                    \n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><div class=\"col post-item\" >\n\t\t\t<div class=\"col-inner\">\n\t\t\t\t<div class=\"box box-normal box-text-bottom box-blog-post has-hover\">\n            \t\t\t\t\t<div class=\"box-image\" >\n  \t\t\t\t\t\t<div class=\"image-cover\" style=\"padding-top:50%;\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=650\" class=\"plain\" aria-label=\"Global Lake Surface Water Temperature\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"768\" height=\"865\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-13-768x865.png\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-13-768x865.png 768w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-13-266x300.png 266w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-13-133x150.png 133w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-13.png 831w\" sizes=\"auto, (max-width: 768px) 100vw, 768px\" \/>\t\t\t\t\t\t\t<\/a>\n  \t\t\t\t\t\t\t  \t\t\t\t\t\t\t  \t\t\t\t\t\t<\/div>\n  \t\t\t\t\t\t  \t\t\t\t\t<\/div>\n          \t\t\t\t\t<div class=\"box-text text-center\" >\n\t\t\t\t\t<div class=\"box-text-inner blog-post-inner\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<h5 class=\"post-title is-large \">\n\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=650\" class=\"plain\">Global Lake Surface Water Temperature<\/a>\n\t\t\t\t\t<\/h5>\n\t\t\t\t\t\t\t\t\t\t<div class=\"is-divider\"><\/div>\n\t\t\t\t\t\t\t\t\t\t<p class=\"from_the_blog_excerpt \">\n\t\t\t\t\t\tBasic descriptions The GLAST dataset is a comprehensive, high-temporal-resolution global lake surface temperature dataset, covering 92,245 lakes worldwide (with 36% located in the Arctic region) from 1981 to 2099. This dataset is generated through lake-specific calibrated simulations using the FLake model,\t\t\t\t\t<\/p>\n\t\t\t\t\t                    \n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><div class=\"col post-item\" >\n\t\t\t<div class=\"col-inner\">\n\t\t\t\t<div class=\"box box-normal box-text-bottom box-blog-post has-hover\">\n            \t\t\t\t\t<div class=\"box-image\" >\n  \t\t\t\t\t\t<div class=\"image-cover\" style=\"padding-top:50%;\">\n\t\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=234\" class=\"plain\" aria-label=\"Global Lake Area\">\n\t\t\t\t\t\t\t\t<img loading=\"lazy\" decoding=\"async\" width=\"554\" height=\"440\" src=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image.png\" class=\"attachment-medium_large size-medium_large wp-post-image\" alt=\"\" srcset=\"https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image.png 554w, https:\/\/garslab.com\/wp-content\/uploads\/2023\/12\/image-300x238.png 300w\" sizes=\"auto, (max-width: 554px) 100vw, 554px\" \/>\t\t\t\t\t\t\t<\/a>\n  \t\t\t\t\t\t\t  \t\t\t\t\t\t\t  \t\t\t\t\t\t<\/div>\n  \t\t\t\t\t\t  \t\t\t\t\t<\/div>\n          \t\t\t\t\t<div class=\"box-text text-center\" >\n\t\t\t\t\t<div class=\"box-text-inner blog-post-inner\">\n\n\t\t\t\t\t\n\t\t\t\t\t\t\t\t\t\t<h5 class=\"post-title is-large \">\n\t\t\t\t\t\t<a href=\"https:\/\/garslab.com\/?p=234\" class=\"plain\">Global Lake Area<\/a>\n\t\t\t\t\t<\/h5>\n\t\t\t\t\t\t\t\t\t\t<div class=\"is-divider\"><\/div>\n\t\t\t\t\t\t\t\t\t\t<p class=\"from_the_blog_excerpt \">\n\t\t\t\t\t\tBasic descriptions GLAKES is a comprehensive dataset that comprises the maximum extents of 3.4 million lakes with surface area &gt;0.03 km\u00b2 over the past four decades (from 1984 to 2019). Overall, the GLAKES dataset shows marked improvements over previous global lake\t\t\t\t\t<\/p>\n\t\t\t\t\t                    \n\t\t\t\t\t\n\t\t\t\t\t\n\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t\t\t\t\t\t<\/div>\n\t\t\t<\/div>\n\t\t<\/div><\/div>\n\n\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":29,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-414","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.7 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Home - 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\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Home - 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