{"id":37,"date":"2015-02-05T15:10:57","date_gmt":"2015-02-05T21:10:57","guid":{"rendered":"http:\/\/faculty.tamucc.edu\/dbogucki\/?page_id=37"},"modified":"2015-03-13T13:37:30","modified_gmt":"2015-03-13T18:37:30","slug":"numerical-methods-remote-sensing","status":"publish","type":"page","link":"http:\/\/faculty.tamucc.edu\/dbogucki\/numerical-methods-remote-sensing\/","title":{"rendered":"Remote Sensing"},"content":{"rendered":"<p class=\"p04\">Introductory PDF&#8217;s<\/p>\n<ul>\n<li><a href=\"http:\/\/faculty.tamucc.edu\/dbogucki\/wp-content\/uploads\/2015\/03\/Oceanic_Lidar.pdf\">Direct Remote Measurement of Mixed Layer Using Lidar<\/a><\/li>\n<li><a href=\"http:\/\/faculty.tamucc.edu\/dbogucki\/wp-content\/uploads\/2015\/03\/Update_Kyoto_may2010_FINAL.pdf\">Improved estimation of air-sea CO2 fluxes from satellite microwave backscatter<\/a><\/li>\n<\/ul>\n<h1 class=\"p04\">Numerical Methods In Remote Sensing<\/h1>\n<p class=\"p04\">Applications include :<\/p>\n<ul>\n<li class=\"p04\">Interpretation of retrievals of remotely sensed radiance, role of optically active marine components: phytoplankton, minerals, and dissolved matter.<\/li>\n<li class=\"p04\">Simulations of spatial and temporal distribution of biogeochemical components of marine system.<\/li>\n<li class=\"p04\">Design and evaluation of new remote sensing sensors\/platforms.<\/li>\n<li class=\"p04\">New retrieval algorithms for active\/passive remotely sensed data.<\/li>\n<\/ul>\n<p><img src=\"http:\/\/faculty.tamucc.edu\/dbogucki\/wp-content\/uploads\/2015\/02\/numerical.gif\" alt=\"Numerical Methods In Remote Sensing\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Introductory PDF&#8217;s Direct Remote Measurement of Mixed Layer Using Lidar Improved estimation of air-sea CO2 fluxes from satellite microwave backscatter Numerical Methods In Remote Sensing Applications include : Interpretation of retrievals of remotely sensed radiance, role of optically active marine components: phytoplankton, minerals, and dissolved matter. Simulations of spatial and temporal distribution of biogeochemical components <a href='http:\/\/faculty.tamucc.edu\/dbogucki\/numerical-methods-remote-sensing\/' class='excerpt-more'>[&#8230;]<\/a><\/p>\n","protected":false},"author":4,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v16.6.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"http:\/\/faculty.tamucc.edu\/dbogucki\/numerical-methods-remote-sensing\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Remote Sensing - Marine Sensing And Simulation Group\" \/>\n<meta property=\"og:description\" content=\"Introductory PDF&#8217;s Direct Remote Measurement of Mixed Layer Using Lidar Improved estimation of air-sea CO2 fluxes from satellite microwave backscatter Numerical Methods In Remote Sensing Applications include : Interpretation of retrievals of remotely sensed radiance, role of optically active marine components: phytoplankton, minerals, and dissolved matter. 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