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logistics.html
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<h2>Course logistics</h2>
<h3>Course website and Moodle</h3>
The course material can be accessed on the
<b>Schedule</b> web page.
<br>Course Forum, assignment submissions, project material, and grades are handled in
<b>Moodle</b>
<h3>Lectures</h3>
<ul>
<li>Focus of lectures is on principles, theory, concepts, methods and lectures are mostly software independent.
<li>Lecture slides and video are available at each topic's web page - you can access them through
<b>Schedule</b> or Moodle
<li>Topics webpages also include links to addition reading and other resources.
</ul>
<h3>Assignments</h3>
<p>
<ul>
<li>Most topics include hands-on assignment - the links to assignments are provided
at each topic's web page - you can access them through
<b>Schedule</b> or Moodle
<li>Following the Schedule, you will submit a brief (2 pages minimum, including images and tables)
paper for each topic with the following paragraphs:
<ul>
<li>Introduction: task, problem
<li>Methods: general description of methods and concepts
<li>Results: present the results, including maps, graphs, tables with comments
<li>Discussion: was there anything unexpected or problematic in the results?
Were there any issues related to the methdology or software?
Include suggestions for improvements here.
<li>Conclusion: 1-2 sentences on what you have learned
</ul>
<li>Submit your report through Moodle
in pdf formatt, use naming convention <code>LastnameFirstname_HW#.pdf</code>.</li>
</ul>
<h3>Software</h3>
<ul>
<li><a href="http://grass.osgeo.org/">GRASS GIS 7.8.5</a>
(you can use
<a href="http://ncsu-geoforall-lab.github.io/geospatial-modeling-course/logistics.html#software">these instructions to install it</a>)
<!--
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXRWo0TGl1a3ZVMDQ">Trimble Aerial Imaging</a> software (MS Windows only) and installation instructions <a href="assignments/trimble_install.html">here</a>
-->
<li>Agisoft Metashape (provided at NCSU) - you can work on the demo version; installation files for Windows, Linux and Mac <a href="http://www.agisoft.com/downloads/installer/"> on Agisoft website</a>
<!--
<li>open source software <a href="http://opendronemap.org/">OpenDroneMap</a>
(installation will be discussed in class)
<li>open source software <a href="https://demuc.de/colmap/">COLMAP</a> (installation will be discussed in class)
</ul>-->
Other resources:
<ul>
<li>open source software <a href="http://opendronemap.org/">OpenDroneMap</a> and <a href="http://logiciels.ign.fr/?-Micmac,3-">MicMac</a>
(documentation can be found <a href="http://logiciels.ign.fr/IMG/pdf/docmicmac-2.pdf">here</a>, not used in this course)</li>
<li><a href="http://download.osgeo.org/liblas/libLAS-1.8.0.tar.bz2">LibLAS</a> and <a href="http://www.cs.unc.edu/~isenburg/lastools/download/LAStools.zip">LAStools</a> for managing the .las files in GRASS</li>
<li><a href="https://vcl.ncsu.edu/scheduling/">NCSU Virtual Computing Lab (VCL)</a>
<ul>
<li>Go to Reservations - New reservation</li>
<li>Choose MS Windows instance <em>ArcGIS Desktop 10.5.1</em>,
which has also GRASS GIS 7.2.1,
or Linux instance <em>Ubuntu 16.04 LTS Base</em></li>
</ul>
</li>
</ul>
<p>
<h3>Data </h3>
<!-- CHECK WHICH OF THESE ARE ACTUALLY NEEDED -->
<ul>
<li><strong>General resources</strong>
<ul>
<li><a href="https://grass.osgeo.org/sampledata/north_carolina/nc_spm_08_grass7.zip">
North Carolina dataset (formatted as GRASS location)</a>
<!--
<li>Google drive <a href="https://drive.google.com/a/ncsu.edu/folderview?id=0B1AfQGDB8tPXflZPQ3FpV3kyZ1JlanpWSXczT1A4QnZEZmFGeEJVRnhQZGdDUHlGZnN2RzQ&usp=sharing">student's resources folder</a>-->
</ul>
<li><strong>UAS data</strong></li>
<ul>
<li>boundaries of all COAs obtained by NGAT in North Carolina (<a href="https://www.google.com/maps/d/edit?mid=zi8EsFDQAyqo.kr7lL7Germeo">google maps</a>, <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXa3lLYmg5VU9FdEU">shp</a>)</li>
<li>Study site (Lake Wheeler): COA boundaries (<a href="https://drive.google.com/open?id=0B1AfQGDB8tPXa3lLYmg5VU9FdEU">shp</a>, <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXOFdwR3VoTUloX0k">kml</a>), GCP coordinates (<a href="https://drive.google.com/open?id=0B1AfQGDB8tPXN2FHTzlicWRENUU">txt</a>, <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXb2c1bTF4QXhfT1k">kml</a>), also included in the GRASS location (see processed data)</li>
<li>Survey data: <a href="https://drive.google.com/a/ncsu.edu/file/d/1xYhNBBDVPP4UG2aiSjcZ_tTOm4gnQcMz/view?usp=sharing">down-sampled pictures</a> and <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXTWdfdGJWZ0pkOWc">log</a> from the flight 06/20/2015</li>
<a href="https://drive.google.com/open?id=0B1AfQGDB8tPXYlVyM2x5YTNqTjg">sample pictures and log</a> from the flight 09/22/2016</li>, <a href="https://drive.google.com/drive/folders/0B1AfQGDB8tPXOXBRSHlJUmZZQmM?resourcekey=0-CSu2NTf4BxeHPfF7Q0ljww&usp">all pictures and log (full flight)</a> from the flight 09/22/2016</li>
<li>Processed data:</li>
<ul>
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXNXVpOEdyejlpbEE">
Mid Pines dataset (formatted as GRASS location): LakeWheeler_NCspm</a> with timeseries of DSMs from 2015 flights
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXaUZGU0FPSW5DNWM">Smaller sample point cloud: 2015_06_sample_points_NCsmp.las</a>
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXUlc5N2pNQlR1T0E">Mid Pines point clouds</a>(limited extent)
<p>Optional (very large files: 1GB+)
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXfk1IZlhLZ2FhNksyQ1VfX1o3YVFpZ19MOVRTWE9PNnpySXNtRTdJN2pFNlU">
Mid Pines point clouds from 2015 flights in las, obj and txt formats</a> </li>
<li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXSDdSZGpJSktXM3c">Point clouds for the gully area at Midpines</a> (high density, from 2015 flights) </li>
</ul>
</ul>
<li><strong>Lidar data</strong></li>
<ul>
<li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/mid_pines_spm_2013.las">Classified lidar point cloud in LAS format for Mid_Pines</a></li>
<li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/secref_mid_pines_spm_elev.zip">Secref and Mid Pines</a> interpolated DEM/DSM (use r.unpack)</li>
</ul>
<li><strong>Orthophotography</strong></li>
<ul>
<li><a href="https://drive.google.com/drive/folders/0B1AfQGDB8tPXd05tSTVLZUZBd00">Orthophotos</a> as GRASS GIS packed rasters,
use r.unpack from within the LakeWheeler_NCspm location to import them,
run it with -o to override projection (it is just a different EPSG for HARN versus NAD83 datum, the difference is negligible)
</ul>
</ul>
<!-- we provide the references on the topics pages
<h3>Literature</h3>
<p>
<ul>
<li>Journals:
<ul>
<li><a href="http://www.nrcresearchpress.com/journal/juvs">Journal of Unmanned Vehicle Systems</a>
<li><a href="http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1096-9837">Earth Surface Processes and Landforms</a>
</ul>
<li>Papers
<ul>
<li><a href="https://drive.google.com/drive/folders/0B8j08KoSleFQWGdOd3hfeGZ1cDA">Papers on GIS595 Google drive,</a> organzied by topics
</ul>
</ul> -->
<!-- moved to topics pages
<p>
Assignments (see schedule for associated dates and topic pages)
<ol>
<li><a href="assignments/uas_types.html">Explore different types of UAS</a></li>
<li><a href="assignments/flight_plan.html">Flight plan preparation</a>
- use Trimble Aerial Imaging (<a href="assignments/trimble_workflow.html">Assignment 2A</a>) and GRASS GIS (<a href="assignments/flight_prep_GIS.html">Assignment 2B</a>)
<li>Processing the data to create orthophoto and DSM using <a href="assignments/geoprocessing.html">Agisoft Photoscan</a>
and <a href="assignments/opendronemap.html">OpenDroneMap</a></li>
<li><a href="assignments/analysis.html">GIS-based analysis of UAS derived data geoprocessing outputs</a>
<li><a href="assignments/lidar.html">Multiple return lidar data analysis and visualization</a></li>
<li><a href="assignments/fusion_uas_lidar.html">Fusion of lidar and UAV data</a></li>
<li><a href="assignments/python.html">Create a script to process multiple raster or vector maps</a>
<ul>
<li>In case you are not familiar with Python, go through e.g.,
<a href="https://www.codecademy.com/tracks/python">Codecademy Python track</a>.
<li>Run examples in the <a href="assignments/python_intro.html">introduction</a>
to see examples of how GRASS GIS is used in Python.
</ul>
<li> <a href="assignments/water_flow.html">Impact of terrain change on landscape processes: dynamic simulation on fused lidar/UAS DsM time series</a>
</ol>
-->