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<p class="MsoNormal">FYI…<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Dear colleagues,<o:p></o:p></p>
</div>
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<p class="MsoNormal"><o:p> </o:p></p>
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<div>
<p class="MsoNormal">We would like to invite undergraduate and graduate students to sign up for the a Summer School in Remote Sensing oppotunity below. This is a unique opportunity to learn from the some of the best RS professionals in the world. There is
no cost associated with attending this program but the seats will be limited and will be made available on the first-come-first-serve basis. Please circulate this to your students - we would love to see broad participation from students across the US and
from abroad.<o:p></o:p></p>
</div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
<div>
<p class="MsoNormal">Thank you,<o:p></o:p></p>
</div>
<div>
<p class="MsoNormal">Tatiana<o:p></o:p></p>
</div>
<div>
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<div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">Quantitative Remote Sensing Summer School</span></b><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">The International Center for Innovation in Geospatial Analytics and Earth Observation (International GEO Center) at the University of Maryland is organizing a Quantitative Remote
Sensing Summer School from July 5 - 13, 2022, in cooperation with the School of Remote Sensing and Information Engineering of Wuhan University, the Quantitative Remote Sensing Research Center of Wuhan University, and the Department of Geography at the University
of Hong Kong. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">The summer school will be held in both Chinese and English, featuring talks by global experts in remote sensing. The talks will focus on quantitative remote sensing theories and
methods, recent advances in research and applications covering a range of topics including atmospheric remote sensing, land cover mapping, agricultural monitoring, remote sensing of fires, vegetation monitoring, hydrological remote sensing, and big data processing.<br>
<br>
<b>When:</b> <b>July 5 - July 13, 2022</b><br>
<b>Talks in English: 8:00 – 10:35 AM US EDT/ 1:00 – 3:35 PM UK Time/ 8:00 – 10:35 PM China Time<br>
Where:</b> <b>Online</b></span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">Registration:</span></b><span style="font-family:"Arial",sans-serif;color:#073763"> <b>Please fill out this <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLSeu_3rlEDlZnm2aEix4D6brD6afGSLil1q9RhvLMMoaJgRlXQ%2Fviewform&data=05%7C01%7Cgeog_jobs%40listserv.ohio.edu%7C738fc62e8b4949ae483608da59a18534%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637920847657817309%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Uvn%2BK%2F7WbP0SaQ2lHQDwf6Y3RlLcOL4ngRoXmWSpts8%3D&reserved=0" originalsrc="https://docs.google.com/forms/d/e/1FAIpQLSeu_3rlEDlZnm2aEix4D6brD6afGSLil1q9RhvLMMoaJgRlXQ/viewform" shash="EeiZAZwDAVy8A0G5xdKLrjGyxdzA60brJTIBvJjrOGSQGQajFbI1fr2bDF1D+xYad6ARbcl9TXah8xDihHVD5deB5fi6jq8Iqdz+FZexfbOCrhs3eTPwzdb/uZ+qmzyOUS4bYEHOZ4qPBbZxhxndZo3xqeqYn2E908tI4mmtP7c=" target="_blank">form</a></b></span><o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-family:"Arial",sans-serif;color:#073763"><br>
The Summer School Program will be released shortly!</span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">PREFERRED BACKGROUND:</span></b><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Graduate students and early career researchers in geospatial sciences /remote sensing or with related research experience</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Undergraduate students who have completed coursework related to remote sensing or have familiarity with satellite data and image processing </span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Interest in state-of-art quantitative remote sensing techniques</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">Please register to receive updates and visit <a href="https://geog.umd.edu" target="_blank">https://geog.umd.edu</a> for more information. </span><o:p></o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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/* Style Definitions */
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<p class="MsoNormal">FYI…<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Dear colleagues,<o:p></o:p></p>
</div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
<div>
<p class="MsoNormal">We would like to invite undergraduate and graduate students to sign up for the a Summer School in Remote Sensing oppotunity below. This is a unique opportunity to learn from the some of the best RS professionals in the world. There is
no cost associated with attending this program but the seats will be limited and will be made available on the first-come-first-serve basis. Please circulate this to your students - we would love to see broad participation from students across the US and
from abroad.<o:p></o:p></p>
</div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
<div>
<p class="MsoNormal">Thank you,<o:p></o:p></p>
</div>
<div>
<p class="MsoNormal">Tatiana<o:p></o:p></p>
</div>
<div>
<div>
<div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
</div>
</div>
<div>
<p class="MsoNormal"><o:p> </o:p></p>
</div>
<div>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">Quantitative Remote Sensing Summer School</span></b><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">The International Center for Innovation in Geospatial Analytics and Earth Observation (International GEO Center) at the University of Maryland is organizing a Quantitative Remote
Sensing Summer School from July 5 - 13, 2022, in cooperation with the School of Remote Sensing and Information Engineering of Wuhan University, the Quantitative Remote Sensing Research Center of Wuhan University, and the Department of Geography at the University
of Hong Kong. </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">The summer school will be held in both Chinese and English, featuring talks by global experts in remote sensing. The talks will focus on quantitative remote sensing theories and
methods, recent advances in research and applications covering a range of topics including atmospheric remote sensing, land cover mapping, agricultural monitoring, remote sensing of fires, vegetation monitoring, hydrological remote sensing, and big data processing.<br>
<br>
<b>When:</b> <b>July 5 - July 13, 2022</b><br>
<b>Talks in English: 8:00 – 10:35 AM US EDT/ 1:00 – 3:35 PM UK Time/ 8:00 – 10:35 PM China Time<br>
Where:</b> <b>Online</b></span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">Registration:</span></b><span style="font-family:"Arial",sans-serif;color:#073763"> <b>Please fill out this <a href="https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdocs.google.com%2Fforms%2Fd%2Fe%2F1FAIpQLSeu_3rlEDlZnm2aEix4D6brD6afGSLil1q9RhvLMMoaJgRlXQ%2Fviewform&data=05%7C01%7Cgeog_jobs%40listserv.ohio.edu%7C738fc62e8b4949ae483608da59a18534%7Cf3308007477c4a70888934611817c55a%7C0%7C0%7C637920847657817309%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&sdata=Uvn%2BK%2F7WbP0SaQ2lHQDwf6Y3RlLcOL4ngRoXmWSpts8%3D&reserved=0" originalsrc="https://docs.google.com/forms/d/e/1FAIpQLSeu_3rlEDlZnm2aEix4D6brD6afGSLil1q9RhvLMMoaJgRlXQ/viewform" shash="EeiZAZwDAVy8A0G5xdKLrjGyxdzA60brJTIBvJjrOGSQGQajFbI1fr2bDF1D+xYad6ARbcl9TXah8xDihHVD5deB5fi6jq8Iqdz+FZexfbOCrhs3eTPwzdb/uZ+qmzyOUS4bYEHOZ4qPBbZxhxndZo3xqeqYn2E908tI4mmtP7c=" target="_blank">form</a></b></span><o:p></o:p></p>
<p class="MsoNormal" style="margin-bottom:12.0pt"><span style="font-family:"Arial",sans-serif;color:#073763"><br>
The Summer School Program will be released shortly!</span><o:p></o:p></p>
<p class="MsoNormal"><b><span style="font-family:"Arial",sans-serif;color:#073763">PREFERRED BACKGROUND:</span></b><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Graduate students and early career researchers in geospatial sciences /remote sensing or with related research experience</span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Undergraduate students who have completed coursework related to remote sensing or have familiarity with satellite data and image processing </span><o:p></o:p></p>
<p class="MsoNormal" style="margin-left:47.25pt"><span style="font-family:"Arial",sans-serif;color:#073763">· Interest in state-of-art quantitative remote sensing techniques</span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763"> </span><o:p></o:p></p>
<p class="MsoNormal"><span style="font-family:"Arial",sans-serif;color:#073763">Please register to receive updates and visit <a href="https://geog.umd.edu" target="_blank">https://geog.umd.edu</a> for more information. </span><o:p></o:p></p>
</div>
</div>
<p class="MsoNormal"><o:p> </o:p></p>
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<p class="MsoNormal"><o:p> </o:p></p>
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