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X-WR-CALNAME;VALUE=TEXT:ABCD-GIS / Geography Colloquium - Integrating cloud computing with the KNIME platform for monitoring deforestation
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SUMMARY:ABCD-GIS / Geography Colloquium - Integrating cloud computing with the KNIME platform for monitoring deforestation
DESCRIPTION:<p dir="ltr">	<strong><span>Abstract</span></strong></p><p>	<span>The burgeoning volume of Earth observation data necessitates robust and scalable computational platforms. <a href="https://earthengine.google.com/">Google Earth Engine</a> (GEE) , a cloud-based platform, addresses this need by offering a multi-petabyte catalog of satellite imagery and geospatial datasets. It facilitates planetary-scale analysis capabilities, enabling users to explore data visualization and undertake extensive analyses using diverse algorithms and models. The integration of Google Earth Engine with <a href="https://www.knime.com/">KNIME</a>, a free and open-source data analytics platform, extends these capabilities to desktop-based workflows. KNIME supports a low-code experience, allowing users to construct analytical tools and integrate workflows for applications in geospatial analysis and remote sensing.</span></p><p>	<span>This seminar will explore the utilization of Google Earth Engine for data processing and analysis, emphasizing the synergy with KNIME workflows to enhance the node coding experience as well as local machine-based analysis. The session will focus on a case study of deforestation monitoring, showcasing how these integrated technologies can be leveraged to address complex environmental challenges.</span></p><p>	<strong><span>Presentation Agenda</span></strong></p><p>	<span>12:00 – 12:25 <a href="internal:/people/bandit-mienmany">Bandit Mienmany</a> Introduction to an overview of Google Earth Engine for geospatial datasets, remote sensing analysis, and a case study of deforestation monitoring.</span></p><p>	<span>12:25 – 12:50 <a href="internal:/people/xiaokang-fu">Xiaokang Fu</a> Introduction to KNIME platform and how to use KNIME to do reproducible geospatial analysis especially with KNIME Google Earth Engine extension without coding.</span></p><p>	<span>12:50 – 1:15 <a href="internal:/people/zhan-zhang">Zhan Zhang</a> presentation of the KNIME workflow for processing remote sensing images and applying land use/land cover classification techniques.</span></p><p>	<span>1:15 – 1:30 <a href="internal:/people/bandit-mienmany">Bandit Mienmany</a> Wrap-up on analysis, limitations, and future plans and open discussion.</span></p><p>	<strong>Presentation video available upon request.</strong></p><p>	<a href="internal:/sites/projects.iq.harvard.edu/files/image_03.png" title="knime"><drupal-media data-entity-type="media" data-entity-uuid="0ff8c602-2fa0-4c51-a92c-5e80e433711c" alt="knime" data-view-mode="hwp_full_width"></drupal-media></a></p><p dir="ltr">	 </p><p dir="ltr">	 </p><p dir="ltr">	 </p>
LOCATION:CGIS Knafel Building Room K262 Bowie Vernon, 2nd Floor, 1737 Cambridge St, Cambridge, MA, and Virtual.  See Zoom link below.
STATUS:CONFIRMED
DTSTART:20240522T160000Z
DTEND:20240522T173000Z
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