{"id":1888,"date":"2025-03-17T16:00:08","date_gmt":"2025-03-17T16:00:08","guid":{"rendered":"https:\/\/eoric.uenr.edu.gh\/?p=1888"},"modified":"2025-04-07T22:57:50","modified_gmt":"2025-04-07T22:57:50","slug":"remote-sensing-for-environmental-monitoring","status":"publish","type":"post","link":"https:\/\/eoric.uenr.edu.gh\/?p=1888","title":{"rendered":"REMOTE SENSING FOR ENVIRONMENTAL MONITORING"},"content":{"rendered":"<p>Ovrerview<\/p>\n<p>The training in remote sensing for environmental monitoring seeks to introduce state-of-the-art scientific and innovative approaches to environmental monitoring. The training will focus on key components of the physical environment, including land, air, and water. Participants will learn how to use analysis-ready data and key environmental monitoring indices to inform decisions on various aspects of the environment. The training targets students, lecturers, and professionals in health, air and water quality, vegetation, and urban monitoring. Basic knowledge of scripting in Python is required but not mandatory. An introductory course in satellite data analysis with Python will equip participants for\u00a0the\u00a0training.<\/p>\n<p>&nbsp;<\/p>\n<p>Date: 9th &#8211; 11th April, 2025<\/p>\n<p>Rate: GHC1000 (Professional and researchers), GHC700 (Postgraduate students) and GHC500 (undergraduate students)<\/p>\n<p>Expected participants: Professionals, researchers, postgraduate students, undergraduate students<\/p>\n<p>NB: A Special discount will be given to the 1st 50 participants<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-1889 size-large\" src=\"https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring-945x1024.jpg\" alt=\"\" width=\"945\" height=\"1024\" srcset=\"https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring-945x1024.jpg 945w, https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring-277x300.jpg 277w, https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring-768x832.jpg 768w, https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring-1418x1536.jpg 1418w, https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring.jpg 1500w\" sizes=\"auto, (max-width: 945px) 100vw, 945px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Ovrerview The training in remote sensing for environmental monitoring seeks to introduce state-of-the-art scientific and innovative approaches to environmental monitoring. The training will focus on key components of the physical environment, including land, air, and water. Participants will learn how to use analysis-ready data and key environmental monitoring indices to inform decisions on various aspects<\/p>\n","protected":false},"author":1,"featured_media":1889,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"om_disable_all_campaigns":false,"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"_uf_show_specific_survey":0,"_uf_disable_surveys":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":""},"categories":[67,17],"tags":[],"class_list":["post-1888","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-featured","category-training-programmes"],"aioseo_notices":[],"jetpack_featured_media_url":"https:\/\/eoric.uenr.edu.gh\/wp-content\/uploads\/2025\/04\/Remote-sensing-for-Environmental-monitoring.jpg","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/posts\/1888","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=1888"}],"version-history":[{"count":6,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/posts\/1888\/revisions"}],"predecessor-version":[{"id":1929,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/posts\/1888\/revisions\/1929"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=\/wp\/v2\/media\/1889"}],"wp:attachment":[{"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=1888"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=1888"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/eoric.uenr.edu.gh\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=1888"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}