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<p class="xmsonormal"><span style="font-size:12.0pt;color:black">Sign up to get hands on
</span><span style="font-size:12.0pt">skills in applications of earth observation (remote sensing), geospatial data analysis and visualization
<span style="color:black">tools used in one of the fastest growing global job markets (16% growth expected by 2029)!<o:p></o:p></span></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:black"> <o:p></o:p></span></p>
<p class="MsoNormal"><span style="font-size:12.0pt;color:black">There are still open spots in
</span><span style="font-size:12.0pt">ESRM430:<span style="color:black"> </span></span><span class="me-2"><span style="font-family:"Open Sans",sans-serif;color:#6C757D;background:white">SLN </span></span><a href="http://sdb.admin.uw.edu/timeschd/uwnetid/sln.asp?QTRYR=AUT+2023&SLN=15196" title="Time Schedule for SLN 15196"><span style="font-family:"Open Sans",sans-serif;color:#4D66CA;background:white">15196</span></a><o:p></o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:black"><o:p> </o:p></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt">This class is hybrid with t<span style="color:black">he Tuesday & Thursday lectures
</span>in-person (zoom live) and<span style="color:black"> recorded for asynchronous learning. The Tuesday & Thursday labs are on-line recorded for asynchronous learning.
</span><o:p></o:p></span></p>
<p class="xmsonormal"><o:p> </o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:black">There are no course requirements to enroll in the course. The course is: 5 credits = 2 lecture credits + 3 lab credits.
</span><span style="font-size:12.0pt"><o:p></o:p></span></p>
<p class="xmsonormal"><span style="background:white"><o:p> </o:p></span></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:#3D3D3D;background:white">Students will be exposed to the principles of earth observation and optical remote sensing applications in natural resource management. In the first half of the course, manual
and computer based laboratory exercises emphasize conventional analysis of aerial photographs and high resolution satellite imagery. The second half of the course focuses on the application of active remotely sensed data, specifically LiDAR (Light Detection
and Ranging). The uses of remotely sensed information for wetlands, watersheds, forest resources, wildlife habitat, point and non-point pollution, environmental monitoring, land use planning, urban-suburban-forestry interfaces, and outdoor recreation will
be discussed and illustrated using research examples throughout the course. Students will have the opportunity to apply these principles and obtain hands-on experience. Students will come out of this course with a mastery of a wide variety of interpretation,
measurement, environmental monitoring and map making skills specific to remote sensing. Practitioners and users from public and private institutions may be involved as guest lecturers.</span><span style="font-size:12.0pt;color:black"> </span><span style="font-size:12.0pt"><o:p></o:p></span></p>
<p class="xmsonormal"><o:p> </o:p></p>
<p class="xmsonormal"><span style="font-size:12.0pt;color:black;background:white">You can find more information about the course here:
</span><a href="https://sites.uw.edu/esrm430"><span style="font-size:12.0pt">https://sites.uw.edu/esrm430</span></a><span style="font-size:12.0pt;color:black"><o:p></o:p></span></p>
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