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    <lastmod>2021-06-29</lastmod>
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      <image:title>News - 3DGL news</image:title>
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    <loc>https://magruder3dgl.com/home</loc>
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    <lastmod>2021-09-07</lastmod>
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      <image:title>Home - Feature extraction</image:title>
      <image:caption>We develop algorithms that provide automated solutions for 3D point cloud feature extraction. These features help with understanding urban infrastructure, explore vegetation structure dynamics, create accurate terrain models and investigate environmental change.</image:caption>
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      <image:title>Home - ICESat-2</image:title>
      <image:caption>The Ice, Cloud and Land Elevation Satellite-2 is NASA’s newest Earth observing laser altimeter, launched in September 2015 and has provided unprecedented 3D data of our planet. 3DGL research focuses on the engineering to support the science. using space-based systems.</image:caption>
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      <image:title>Home - UT Austin campus in 3D</image:title>
      <image:caption>Using data collected from an airborne laser altimeter we created a 3D model of the 40 acres. These models can be used in gaming engines to offer a reality based virtual experience for autonomous vehicles</image:caption>
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    <loc>https://magruder3dgl.com/publications</loc>
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    <lastmod>2025-02-08</lastmod>
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  <url>
    <loc>https://magruder3dgl.com/icesat-2</loc>
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    <lastmod>2025-02-08</lastmod>
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      <image:title>Ice, Cloud and Land Elevation Satellite-2</image:title>
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      <image:title>Ice, Cloud and Land Elevation Satellite-2</image:title>
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      <image:title>Ice, Cloud and Land Elevation Satellite-2</image:title>
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      <image:title>Ice, Cloud and Land Elevation Satellite-2</image:title>
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      <image:title>Ice, Cloud and Land Elevation Satellite-2</image:title>
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  <url>
    <loc>https://magruder3dgl.com/drone-studies</loc>
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    <lastmod>2025-02-08</lastmod>
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  <url>
    <loc>https://magruder3dgl.com/automatedfeatureextraction</loc>
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    <lastmod>2025-02-08</lastmod>
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      <image:title>Automated Feature Extraction - Make it stand out</image:title>
      <image:caption>Whatever it is, the way you tell your story online can make all the difference.</image:caption>
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      <image:title>Automated Feature Extraction</image:title>
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    <image:image>
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      <image:title>Automated Feature Extraction</image:title>
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    <image:image>
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      <image:title>Automated Feature Extraction</image:title>
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    <image:image>
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      <image:title>Automated Feature Extraction</image:title>
      <image:caption>Automated output of 3D buildings at St. Peters Square using the airborne lidar data to the left.</image:caption>
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  <url>
    <loc>https://magruder3dgl.com/people</loc>
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    <lastmod>2025-02-08</lastmod>
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      <image:title>People - Lori Magruder</image:title>
      <image:caption>Tobias Keene, D.D.S. Hailing from Richmond, Virginia, Dr. Tobias Keene brings a bit of unabashed Southern hospitality to all his patients. He moved to Washington, D.C. over thirty years ago as a freshman at Ivy College. Right after graduation, he attended World University’s School of Dentistry. Before opening Keene Dental in 1994, he worked for free clinics and some of the finest practices in the District. He is part of the 123 Dental Association and stays up-to-date on the latest dental discoveries. When not striving to keep his patients happy and healthy, he’s enjoys hiking with his family in Rock Creek Park.</image:caption>
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      <image:title>People - Megan Renshaw</image:title>
      <image:caption>Megan Renshaw is a third year Ph.D. student and a recipient of the Cockrell School Thrust 2000 Fellowship. Her research focuses on geospatial data fusion and machine learning, leveraging NASA remote sensing platforms like ICESat-2, GRACE-FO, and Sentinel-1. Megan’s work aims to better characterize seasonal flood patterns in the Amazon basin. She holds a bachelor’s degree in Aerospace Engineering from the University of Texas at Austin.</image:caption>
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      <image:title>People - Jonathan Markel</image:title>
      <image:caption>Jonathan is a second-year Ph.D. student and 2022 Future Investigator in NASA Earth and Space Science Technology (FINESST) recipient. His research combines statistics, geospatial data science, and environmental modeling, primarily relying on NASA’s ICESat-2 space-based laser altimeter. Going forward, his work will be on coastal elevation modeling with ICESat-2 and other satellite data. This research will be focused on Arctic environments where surveying is challenging due to sea ice and turbidity, but especially important as coastal erosion accelerates. Jonathan has an undergraduate degree in Aerospace Engineering from UT Austin.</image:caption>
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      <image:title>People - Jonathan Sipps</image:title>
      <image:caption>Jonathan Sipps is a third year Ph.D. student and a NASA Space Technology Graduate Research Fellow (NSTGRO recipient). His research is focused on distributed spacecraft mission (DSMs), such as constellations. The DSMs offer significant advantages for spaceborne remote sensing applications that require higher spatial coverage and faster revisit intervals. The problem that he is addressing is the complexity of iterative processing needed to design such systems. Jonathan’s research will develop a computationally efficient tool and surrogate model for faster and more accurate DSM design, enabling mission planners to take advantage of modern spacecraft technologies, launch capabilities and remote sensing instrumentation for the exploration of Earth and beyond. Jonathan has a bachelor’s degree in Aerospace Engineering from UT Austin and worked several years as an Engineering Research Associate at the UT Applied Research Laboratories prior to pursing his Ph.D.</image:caption>
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  </url>
  <url>
    <loc>https://magruder3dgl.com/student-resources</loc>
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    <lastmod>2023-08-12</lastmod>
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