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TZID:Asia/Muscat
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DTSTART:20380119T071407
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BEGIN:VEVENT
DTSTAMP:20241126T091440Z
UID:6E6608B9-6727-4F0A-9655-EB872A435B63
DTSTART;TZID=Asia/Muscat:20240703T100000
DTEND;TZID=Asia/Muscat:20240704T143000
DESCRIPTION:Join and unlock the power of Python for GIS &amp; Remote Sensing An
 alytics! You&#39;ll master techniques like analysing raster data\, extracting 
 terrain data from DEMs\, reducing noise from satellite imagery\, and lever
 aging AI to extract land cover features. We&#39;ll guide you through using top
 -notch Python libraries such as Numpy\, Rasterio\, RichDEM\, XArray\, and 
 Scikit-eo. Sign up now and take the first step towards becoming an expert!
 \n\nHighlights\n\n- Python essentials: Focus solely on the essentials need
 ed for raster analysis. No overwhelming or unrelated computer science conc
 epts.\n- Connecting Python to Raster Data: Gain a deep understanding of ho
 w raster data is structured in Python by mastering two-dimensional arrays 
 with the Numpy package.\n- Mastering Raster Packages: Learn to effectively
  use powerful packages like Rasterio\, RichDEM\, XArray\, and Scikit-eo fo
 r your raster analytics projects.\n- Raster analysis: Implement two key ex
 amples: extract slope and aspect values from DEM raster\, generate median 
 composites to eliminate clouds and shadow noise in imagery.\n- Exploring M
 achine Learning Algorithms: Dive into advanced techniques to extract land 
 cover features using cutting-edge machine learning algorithms.\n\nWorkshop
  fees: 525 AED (VAT Inclusive)\n\nCo-sponsored by: MBRSC and ESGRS\n\nMBRS
 C\, Dubai\, United Arab Emirates\, United Arab Emirates
LOCATION:MBRSC\, Dubai\, United Arab Emirates\, United Arab Emirates
ORGANIZER:Reem.AlAli@mbrsc.ae
SEQUENCE:3
SUMMARY:Advanced Raster Analytics and AI Algorithms for GIS &amp; Remote Sensin
 g Hands-on Workshop
URL;VALUE=URI:https://events.vtools.ieee.org/m/423903
X-ALT-DESC:Description: &lt;br /&gt;&lt;div class=&quot;elementor-element elementor-eleme
 nt-0fcd805 elementor-widget elementor-widget-heading&quot; data-id=&quot;0fcd805&quot; da
 ta-element_type=&quot;widget&quot; data-widget_type=&quot;heading.default&quot;&gt;\n&lt;div class=&quot;
 elementor-widget-container&quot;&gt;\n&lt;p class=&quot;elementor-heading-title elementor-
 size-default&quot;&gt;Join and unlock the power of Python for GIS &amp;amp\; Remote Se
 nsing Analytics! You&#39;ll master techniques like analysing raster data\, ext
 racting terrain data from DEMs\, reducing noise from satellite imagery\, a
 nd leveraging AI to extract land cover features. We&#39;ll guide you through u
 sing top-notch Python libraries such as Numpy\, Rasterio\, RichDEM\, XArra
 y\, and Scikit-eo. Sign up now and take the first step towards becoming an
  expert!&lt;/p&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;div class=&quot;elementor-element elementor-elem
 ent-f1ca6bd elementor-widget elementor-widget-spacer&quot; data-id=&quot;f1ca6bd&quot; da
 ta-element_type=&quot;widget&quot; data-widget_type=&quot;spacer.default&quot;&gt;\n&lt;div class=&quot;e
 lementor-widget-container&quot;&gt;\n&lt;div class=&quot;elementor-spacer&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n
 &lt;/div&gt;\n&lt;/div&gt;\n&lt;div class=&quot;elementor-element elementor-element-ba661f3 el
 ementor-widget elementor-widget-heading&quot; data-id=&quot;ba661f3&quot; data-element_ty
 pe=&quot;widget&quot; data-widget_type=&quot;heading.default&quot;&gt;\n&lt;div class=&quot;elementor-wid
 get-container&quot;&gt;\n&lt;h2 class=&quot;elementor-heading-title elementor-size-default
 &quot;&gt;Highlights&lt;/h2&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;div class=&quot;elementor-element elementor
 -element-5241270 elementor-widget elementor-widget-spacer&quot; data-id=&quot;524127
 0&quot; data-element_type=&quot;widget&quot; data-widget_type=&quot;spacer.default&quot;&gt;\n&lt;div cla
 ss=&quot;elementor-widget-container&quot;&gt;&amp;nbsp\;&lt;/div&gt;\n&lt;/div&gt;\n&lt;div class=&quot;element
 or-element elementor-element-85844dc elementor-widget elementor-widget-hea
 ding&quot; data-id=&quot;85844dc&quot; data-element_type=&quot;widget&quot; data-widget_type=&quot;headi
 ng.default&quot;&gt;\n&lt;div class=&quot;elementor-widget-container&quot;&gt;\n&lt;div class=&quot;elemen
 tor-heading-title elementor-size-default&quot;&gt;\n&lt;ol class=&quot;ollistofworkshop&quot;&gt;\
 n&lt;li&gt;&lt;strong&gt;Python essentials:&lt;/strong&gt;&amp;nbsp\;Focus solely on the essenti
 als needed for raster analysis. No overwhelming or unrelated computer scie
 nce concepts.&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Connecting Python to Raster Data:&amp;nbsp\;&lt;/
 strong&gt;Gain a deep understanding of how raster data is structured in Pytho
 n by mastering two-dimensional arrays with the Numpy package.&lt;/li&gt;\n&lt;li&gt;&lt;s
 trong&gt;Mastering Raster Packages:&lt;/strong&gt;&amp;nbsp\;Learn to effectively use p
 owerful packages like Rasterio\, RichDEM\, XArray\, and Scikit-eo for your
  raster analytics projects.&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Raster analysis:&lt;/strong&gt;&amp;nb
 sp\;Implement two key examples: extract slope and aspect values from DEM r
 aster\, generate median composites to eliminate clouds and shadow noise in
  imagery.&lt;/li&gt;\n&lt;li&gt;&lt;strong&gt;Exploring Machine Learning Algorithms:&lt;/strong
 &gt;&amp;nbsp\;Dive into advanced techniques to extract land cover features using
  cutting-edge machine learning algorithms.&lt;/li&gt;\n&lt;/ol&gt;\n&lt;/div&gt;\n&lt;/div&gt;\n&lt;/
 div&gt;\n&lt;div class=&quot;elementor-element elementor-element-95b9aca elementor-wi
 dget elementor-widget-heading&quot; data-id=&quot;95b9aca&quot; data-element_type=&quot;widget
 &quot; data-widget_type=&quot;heading.default&quot;&gt;\n&lt;div class=&quot;elementor-widget-contai
 ner&quot;&gt;\n&lt;p class=&quot;elementor-heading-title elementor-size-default&quot;&gt;&lt;strong&gt;W
 orkshop fees:&lt;/strong&gt;&amp;nbsp\;&lt;strong&gt;525 AED (VAT Inclusive)&lt;/strong&gt;&lt;/p&gt;\
 n&lt;/div&gt;\n&lt;/div&gt;
END:VEVENT
END:VCALENDAR

