{"id":33551,"date":"2026-09-14T11:23:52","date_gmt":"2026-09-14T15:23:52","guid":{"rendered":"https:\/\/carleton.ca\/geography\/?page_id=33551"},"modified":"2026-09-17T12:52:42","modified_gmt":"2026-09-17T16:52:42","slug":"uav-mapping-geospatial-analytics-bootcamp-carleton-university","status":"publish","type":"page","link":"https:\/\/carleton.ca\/geography\/uav-mapping-geospatial-analytics-bootcamp-carleton-university\/","title":{"rendered":"UAV Mapping &amp; Geospatial Analytics | Carleton University"},"content":{"rendered":"\n<section class=\"w-screen px-6 cu-section cu-section--white ml-offset-center md:px-8 lg:px-14\">\n    <div class=\"space-y-6 cu-max-w-child-5xl  md:space-y-10 cu-prose-first-last\">\n\n            <div class=\"cu-textmedia flex flex-col lg:flex-row mx-auto gap-6 md:gap-10 my-6 md:my-12 first:mt-0 max-w-5xl\">\n        <div class=\"justify-start cu-textmedia-content cu-prose-first-last\" style=\"flex: 0 0 100%;\">\n            <header class=\"font-light prose-xl cu-pageheader md:prose-2xl cu-component-updated cu-prose-first-last\">\n                                    <h1 class=\"cu-prose-first-last font-semibold !mt-2 mb-4 md:mb-6 relative after:absolute after:h-px after:bottom-0 after:bg-cu-red after:left-px text-3xl md:text-4xl lg:text-5xl lg:leading-[3.5rem] pb-5 after:w-10 text-cu-black-700 not-prose\">\n                        Introduction to UAVs for Environmental Science Applications\n                    <\/h1>\n                \n                                \n                                    \n\n<p class=\"wp-block-paragraph\"><strong><br><\/strong>Gain hands-on experience in UAV-based geospatial data collection and mapping through an intensive bootcamp that takes participants from mission planning and field data collection to processing and the creation of professional geospatial products. <\/p>\n\n\n                            <\/header>\n\n                    <\/div>\n\n            <\/div>\n\n    <\/div>\n<\/section>\n\n\n\n<figure class=\"wp-block-image size-large\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"425\" src=\"https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-1024x425.jpg\" alt=\"UAV\" class=\"wp-image-33552\" srcset=\"https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-1024x425.jpg 1024w, https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-512x213.jpg 512w, https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-320x133.jpg 320w, https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-768x319.jpg 768w, https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV-1536x638.jpg 1536w, https:\/\/carleton.ca\/geography\/wp-content\/uploads\/sites\/108\/2026\/09\/UAV.jpg 1700w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<h2 id=\"course-details\" class=\"wp-block-heading\"><strong class=\"myprefix-text-bold\">COURSE DETAILS<\/strong><\/h2>\n\n\n\n<p class=\"wp-block-paragraph\">Over five days, participants will learn the full UAV workflow, from regulations and mission planning to field data collection, processing, analysis, and quality control. Participants will also consider where UAV data fits alongside satellite and field data, and what it can and cannot tell us.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dates: October 26\u201330, 2026<br>Format: Hybrid (In-person @ Carleton DGES + live online)<br>Time: 11:00 AM \u2013 4:00 PM (ET)<br><br><strong class=\"myprefix-text-bold\">DAILY STRUCTURE<\/strong><\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>11:00 \u2013 2:00 \u2192 Concepts, guided instructions, discussion<\/li>\n\n\n\n<li>2:00 \u2013 4:00 \u2192 Independent hands-on (with support)<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\">Follow-up session: November 4th (1-hour Q&amp;A)<\/p>\n\n\n\n<h3 id=\"who-should-attend\" class=\"wp-block-heading\">WHO SHOULD ATTEND<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>GIS \/ remote sensing professionals<\/li>\n\n\n\n<li>Environmental practitioners<\/li>\n\n\n\n<li>Graduate students (Geomatics, Geography, Environmental Science, related disciplines)<\/li>\n\n\n\n<li>Researchers &amp; postdocs<\/li>\n<\/ul>\n\n\n\n<p class=\"wp-block-paragraph\"><strong class=\"myprefix-text-bold\">Participants need to bring a laptop computer<\/strong><strong class=\"myprefix-text-bold\">:<\/strong> (Windows, macOS, or Linux) for all hands-on exercises. Installing the required software prior to the course is highly recommended to ensure a smooth learning experience.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong class=\"myprefix-text-bold\">Minimum System Requirements:<\/strong> 64-bit (Windows, macOS, or Linux) operating system , At least 16 GB RAM At least 50 GB of available disk space<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong class=\"myprefix-text-bold\">Required Software:<\/strong> WebODM, QGIS, R (version 4.2 or newer), RStudio Desktop (install after R has been installed)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Download links: \u00a0<a href=\"https:\/\/can01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwebodm.org%2Fdownload%2F&amp;data=05%7C02%7CAshrafElshorbagy%40cunet.carleton.ca%7Cfbda3965ad2e4e836d2508df126c7bd7%7C6ad91895de06485ebc51fce126cc8530%7C0%7C0%7C639249929270949058%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=3L39ExKwwV0lQGsw9FrS7WSZ7mtXN8Id00CY%2FF0unbw%3D&amp;reserved=0\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/webodm.org\/download\/<\/a> \u00a0<a href=\"https:\/\/can01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fqgis.org%2Fdownload%2F&amp;data=05%7C02%7CAshrafElshorbagy%40cunet.carleton.ca%7Cfbda3965ad2e4e836d2508df126c7bd7%7C6ad91895de06485ebc51fce126cc8530%7C0%7C0%7C639249929270979039%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=xHK49EyYt7oVXh6iR3sd1PZXCs4HjLcpSUdleWnJuo8%3D&amp;reserved=0\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/qgis.org\/download\/<\/a> \u00a0<a href=\"https:\/\/can01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fwww.r-project.org%2F&amp;data=05%7C02%7CAshrafElshorbagy%40cunet.carleton.ca%7Cfbda3965ad2e4e836d2508df126c7bd7%7C6ad91895de06485ebc51fce126cc8530%7C0%7C0%7C639249929271004280%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=i613bl%2FDbcMZwip%2BLMCbGxwmZJaxSbv9Cf5fZdss0cg%3D&amp;reserved=0\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/www.r-project.org\/<\/a> <a href=\"https:\/\/can01.safelinks.protection.outlook.com\/?url=https%3A%2F%2Fposit.co%2Fdownloads&amp;data=05%7C02%7CAshrafElshorbagy%40cunet.carleton.ca%7Cfbda3965ad2e4e836d2508df126c7bd7%7C6ad91895de06485ebc51fce126cc8530%7C0%7C0%7C639249929271026193%7CUnknown%7CTWFpbGZsb3d8eyJFbXB0eU1hcGkiOnRydWUsIlYiOiIwLjAuMDAwMCIsIlAiOiJXaW4zMiIsIkFOIjoiTWFpbCIsIldUIjoyfQ%3D%3D%7C0%7C%7C%7C&amp;sdata=gBKFLh1Rq3uukZHwHM9y9ebNtRjH3w2Clm3FCX2pPbI%3D&amp;reserved=0\" target=\"_blank\" rel=\"noreferrer noopener\">https:\/\/posit.co\/downloads<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><em class=\"myprefix-text-italic\">No prior experience with UAVs or the required software is necessary<\/em><\/p>\n\n\n\n<h3 id=\"what-you-will-learn\" class=\"wp-block-heading\">WHAT YOU WILL LEARN<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Overview of Canadian RPAS regulatory requirements and safety practices.<\/li>\n\n\n\n<li>Mission planning, ground control, and PPK positioning.<\/li>\n\n\n\n<li>Photogrammetric processing and quality control.<\/li>\n\n\n\n<li>Orthomosaics, DSMs, and point clouds.<\/li>\n\n\n\n<li>Radiometric calibration and vegetation indices from multispectral imagery<\/li>\n\n\n\n<li>Environmental monitoring applications<\/li>\n<\/ul>\n\n\n\n<h3 id=\"course-outline\" class=\"wp-block-heading\">COURSE OUTLINE<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Day 1: Platforms, sensors, and regulations<br>Day 2: Mission planning and execution<br>Day 3: PPK correction and photogrammetric processing<br>Day 4: Radiometric calibration and vegetation indices<br>Day 5: 3D Environmental mapping with UAV point clouds<\/p>\n\n\n\n<h3 id=\"instructors\" class=\"wp-block-heading\">INSTRUCTOR(S)<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">This course is delivered by instructors affiliated with Carleton University, and partner organizations. Instructors combine expertise in UAV mapping, geomatics, remote sensing, environmental monitoring, and geospatial technologies with extensive field experience. This cohort&#8217;s instructor is Leila Rashid.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Leila holds an MSc in Geography from Carleton University and is a researcher in the GeoSTARS Lab, where she works with cutting-edge UAV technologies, including LiDAR, multispectral, and thermal sensors, to support environmental monitoring and geospatial research projects. <\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Her expertise spans research design, UAV mission planning, field data collection, sensor calibration, data processing, and the application of drone-based remote sensing to environmental and resource management challenges.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Drawing on both research and applied field experience, she has successfully planned and executed many UAV data collection missions across a wide range of environmental settings, including wetlands and northern ecosystems in the Yukon, forest landscapes in Ontario, and projects in other regions across Canada.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Her comprehensive understanding of drone-based mapping workflows, from mission planning and data acquisition to processing and analysis, enables her to provide participants with practical, hands-on guidance grounded in real-world applications. As an instructor, she brings both technical expertise and extensive field experience, helping participants develop the skills and confidence needed to successfully plan, execute, and analyze UAV mapping missions in diverse environmental conditions.<\/p>\n\n\n\n<h3 id=\"fees-registration\" class=\"wp-block-heading\">FEES &amp; REGISTRATION<\/h3>\n\n\n\n<p class=\"wp-block-paragraph\">Regular: C$750 + Tax<br>Student pricing (open to all institutions): C$250 + Tax (limited spots)<br><br><a href=\"https:\/\/payments.carleton.ca\/geography\/uav-bootcamp\/?\">Registration Link<\/a> (click to the left to register)<br>Deadline: October 23, 2026<br>Contact: Ashraf Elshorbagy (<a href=\"mailto:ashraf.elshorbagy@carleton.ca\">ashraf.elshorbagy@carleton.ca<\/a>)<\/p>\n\n\n\n<h3 id=\"why-this-course\" class=\"wp-block-heading\">WHY THIS COURSE?<\/h3>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Complete end-to-end UAV mapping pipeline<\/li>\n\n\n\n<li>Strong balance of theory and hands-on practice<\/li>\n\n\n\n<li>Real-world environmental and geomatics applications<\/li>\n\n\n\n<li>Designed for both academia and industry<\/li>\n<\/ul>\n\n\n","protected":false},"excerpt":{"rendered":"<p>COURSE DETAILS Over five days, participants will learn the full UAV workflow, from regulations and mission planning to field data collection, processing, analysis, and quality control. Participants will also consider where UAV data fits alongside satellite and field data, and what it can and cannot tell us. Dates: October 26\u201330, 2026Format: Hybrid (In-person @ Carleton [&hellip;]<\/p>\n","protected":false},"author":632,"featured_media":33552,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_cu_dining_location_slug":"","footnotes":"","_links_to":"","_links_to_target":""},"cu_page_type":[],"class_list":["post-33551","page","type-page","status-publish","has-post-thumbnail","hentry"],"acf":{"cu_post_thumbnail":""},"_links":{"self":[{"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/pages\/33551","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/users\/632"}],"replies":[{"embeddable":true,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/comments?post=33551"}],"version-history":[{"count":5,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/pages\/33551\/revisions"}],"predecessor-version":[{"id":33583,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/pages\/33551\/revisions\/33583"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/media\/33552"}],"wp:attachment":[{"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/media?parent=33551"}],"wp:term":[{"taxonomy":"cu_page_type","embeddable":true,"href":"https:\/\/carleton.ca\/geography\/wp-json\/wp\/v2\/cu_page_type?post=33551"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}