BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Asia/Kolkata BEGIN:STANDARD DTSTART:19451014T230000 TZOFFSETFROM:+0630 TZOFFSETTO:+0530 TZNAME:IST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20241004T065544Z UID:F935B3FE-D9C9-4356-A018-F87EC872AE0D DTSTART;TZID=Asia/Kolkata:20230808T120000 DTEND;TZID=Asia/Kolkata:20230812T194500 DESCRIPTION:The Bangalore Section IEEE GRSS Chapter\, established on 24 Dec ember 2012\, unites like-minded IEEE members interested in satellite remot e sensing and geographical information science (GISci). It aims to raise a wareness among existing IEEE members and scientists/engineers at instituti ons like ISRO about GRSS activities and encourage GRSS memberships. The ch apter conducts one-day workshops on geoscience and remote sensing topics\, promotes contributions to IEEE GRSS journals\, and organizes short course s for postgraduates\, scholars\, researchers\, faculty\, and industry prof essionals.\n\nThe Summer School on Remote Sensing focuses on gathering dat a about objects from a distance using mechanical devices called remote sen sors. These sensors use advanced technology to collect information accurat ely and efficiently without physical contact. The field of remote sensing is employed by geographers to monitor and measure phenomena in the lithosp here\, biosphere\, hydrosphere\, and atmosphere of Earth. Remote sensing i magery finds diverse applications in mapping land-use\, agriculture\, fore stry\, city planning\, archaeology\, military observation\, and more. Adva nced methods of AI and ML are utilized to handle the challenges of big dat a in remote sensing images\, particularly for efficient classification. Th e proposed online summer school aims to teach participants the application in remote sensing data analysis\, even for those with limited background knowledge in the field. It aims to equip attendees with practical software tools to tackle remote sensing challenges effectively.\n\nSpeaker(s): B S Daya Sagar\, Shwetha H. R.\, Nimish Gupta\, Shyam Lal\, T. V. Ramachandra \, Dr. Vinod Kumar Sharma\, Bharath H. Aithal\, Indu J\n\nAgenda: \nThe go al of the Summer School on Remote Sensing is to use mechanical devices kno wn as remote sensors to collect data about objects remotely. These sensors don't require physical contact to rapidly and precisely gather data thank s to cutting-edge technology. Geographers use remote sensing to track and quantify phenomena in Earth's lithosphere\, biosphere\, hydrosphere\, and atmosphere. Applications for remote sensing imagery are numerous and inclu de mapping land-use\, forestry\, agriculture\, city planning\, archeology\ , and military observation\, among other fields. To address the problems o f large data in remote sensing photos\, advanced AI and ML techniques are used\, especially for effective classification. Even for individuals with little prior experience in the subject\, the proposed online summer school intends to educate participants the application in remote sensing data an alysis.\n\nVirtual: https://events.vtools.ieee.org/m/416345 LOCATION:Virtual: https://events.vtools.ieee.org/m/416345 ORGANIZER:nameesh160@gmail.com SEQUENCE:57 SUMMARY:NEW HORIZONS IN REMOTE SENSING: BASICS AND BEYOND URL;VALUE=URI:https://events.vtools.ieee.org/m/416345 X-ALT-DESC:Description: <br /><p class="MsoNormal" style="line-height: 150% \;"><img style="display: block\; margin-left: auto\; margin-right: auto\;" src="https://events.vtools.ieee.org/vtools_ui/media/display/ab24a86e-0fa8 -4b50-8d33-4429216087e1" width="639" height="479"></p>\n<p class="MsoNorma l" style="line-height: 150%\; text-align: justify\;">The Bangalore Section IEEE GRSS Chapter\, established on 24 December 2012\, unites like-minded IEEE members interested in satellite remote sensing and geographical infor mation science (GISci). It aims to raise awareness among existing IEEE mem bers and scientists/engineers at institutions like ISRO about GRSS activit ies and encourage GRSS memberships. The chapter conducts one-day workshops on geoscience and remote sensing topics\, promotes contributions to IEEE GRSS journals\, and organizes short courses for postgraduates\, scholars\, researchers\, faculty\, and industry professionals.</p>\n<p style="text-a lign: justify\;"><span style="font-size: 12.0pt\; line-height: 107%\; font -family: 'Times New Roman'\,serif\; mso-fareast-font-family: Calibri\; mso -fareast-theme-font: minor-latin\; mso-ansi-language: EN-IN\; mso-fareast- language: EN-US\; mso-bidi-language: AR-SA\;">The Summer School on Remote Sensing focuses on gathering data about objects from a distance using mech anical devices called remote sensors. These sensors use advanced technolog y to collect information accurately and efficiently without physical conta ct. The field of remote sensing is employed by geographers to monitor and measure phenomena in the lithosphere\, biosphere\, hydrosphere\, and atmos phere of Earth. Remote sensing imagery finds diverse applications in mappi ng land-use\, agriculture\, forestry\, city planning\, archaeology\, milit ary observation\, and more. Advanced methods of AI and ML are utilized to handle the challenges of big data in remote sensing images\, particularly for efficient classification. The proposed online summer school aims to te ach participants the application in remote sensing data analysis\, even fo r those with limited background knowledge in the field. It aims to equip a ttendees with practical software tools to tackle remote sensing challenges effectively.</span></p><br /><br />Agenda: <br /><p class="MsoNormal" sty le="margin-bottom: 0cm\; text-align: justify\; line-height: normal\;"><spa n style="mso-fareast-font-family: 'Times New Roman'\; mso-fareast-language : EN-IN\;">The goal of the Summer School on Remote Sensing is to use mecha nical devices known as remote sensors to collect data about objects remote ly. These sensors don't require physical contact to rapidly and precisely gather data thanks to cutting-edge technology. Geographers use remote sens ing to track and quantify phenomena in Earth's lithosphere\, biosphere\, h ydrosphere\, and atmosphere. Applications for remote sensing imagery are n umerous and include mapping land-use\, forestry\, agriculture\, city plann ing\, archeology\, and military observation\, among other fields. To addre ss the problems of large data in remote sensing photos\, advanced AI and M L techniques are used\, especially for effective classification. Even for individuals with little prior experience in the subject\, the proposed onl ine summer school intends to educate participants the application in remot e sensing data analysis.</span></p> END:VEVENT END:VCALENDAR