assignments.html

<h2>Course logistics for Assignments</h2>

<em>2016 material, 2018 logistics moved to logistics.html</em>

We will use Moodle to manage the assignments.
<p>
<h3>Data </h3>
<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 (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>
	<li> <a href="https://sketchfab.com/osgeolab/models"> OSGeoLab Sketchfab account </a>- uploaded models from classroom projects and flights (contact us if you want your model to be added)
    </ul>
<li><strong>UAV 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/open?id=0B1AfQGDB8tPXaGpBTG5keW5RMUk">all pictures and log (full flight)</a> from the flight 09/22/2016</li>
    	<li>Processed data:</li>
		<ul>
		    <li>LakeWheeler_NCspm <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXNXVpOEdyejlpbEE">GRASS location</a> with timeseries of DSMs from 2015 flights
		    <li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXfk1IZlhLZ2FhNksyQ1VfX1o3YVFpZ19MOVRTWE9PNnpySXNtRTdJN2pFNlU">point clouds from 2015 flights</a>  </li>
		    <li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXSDdSZGpJSktXM3c">point clouds for the gully area </a> (high density, from 2015 flights) </li>
		    <li><a href="https://drive.google.com/open?id=0B1AfQGDB8tPXUlc5N2pNQlR1T0E">point clouds</a> used for flow simulation (limited extent)
		</ul>
   </ul>
<li><strong>Lidar data</strong></li>
<ul>
    <li>2013 lidar</li>
      <ul>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/mid_pines_spm_2013.las">Classified point cloud in LAS format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2013_spm_all.txt">All returns and classes in TXT format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2013_spm_ground.txt">Ground only in TXT format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2013_spm_first.txt">First return only in TXT format</a></li>
      </ul>
    <li>2015 lidar</li>
      <ul>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2015_spm.las">Classified point cloud in LAS format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2015_spm_all.txt">All returns and classes in TXT format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2015_spm_ground.txt">Ground only in TXT format</a></li>
          <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/midpines_2015_spm_first.txt">First return only in TXT format</a></li>
      </ul>
    <li><a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/secref_spm_2013.las">Secref</a> las point cloud
    <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>
    <li>for additional point cloud tiles:</li>
        <ul>
        <li>see <a href="http://fatra.cnr.ncsu.edu/uav-lidar-analytics-course/LAS_overview_2013.pack">the overview vector file</a> in GRASS,
        <li>download preselected tiles from <a href="http://fatra.cnr.ncsu.edu/lidar">here</a>,
        <li>follow the <a href="assignments/lidar_import.html">instructions</a> for importing lidar data to GRASS GIS.
        </ul>
    <li>ASPRS <a href="http://www.asprs.org/a/society/committees/lidar/LAS_1-4_R6.pdf">LAS specification file</a> with the list of ASPRS Standard LIDAR Point Classes on p.10
</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 to import them, run it with -o to override projection (it is just a different EPSG for HARN versus NAD83 datumi, the difference is negligible)
   </ul>
</ul>
<p>
<h3>Software </h3>
<ul>
    <li><a href="http://grass.osgeo.org/">GRASS GIS 7.0.4</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 and installation instructions <a href="trimble_install.html">here</a>
    <li>Agisoft Photoscan (provided at NCSU) - you can work on the demo version; installation files: <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXemVqZ2YzOG9nenM"> Windows</a>, <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXREJoR2M5TE96RlU"> Mac</a>, <a href="https://drive.google.com/open?id=0B1AfQGDB8tPXajZaWHFhS2J0QkE">Linux</a>
    <li>open source software <a href="http://opendronemap.org/">OpenDroneMap</a>
        (installation will be discussed in class)
    <li>open source software <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>)
    <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>software provided at NCSU is available through
        <a href="https://drive.google.com/a/ncsu.edu/folderview?id=0B1AfQGDB8tPXflZPQ3FpV3kyZ1JlanpWSXczT1A4QnZEZmFGeEJVRnhQZGdDUHlGZnN2RzQ&usp=sharing">Google Drive</a>
        (accessible with NCSU account)
</ul>

<h3>Assignment reports</h3>
<p>
For each topic (as indicated in the schedule) you will submit a brief paper with the following sections:
<ul>
  <li>Introduction: task, problem, background
  <li>Approach: 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? 
      Also discuss the software issues, including fixes and suggestions for improvements here.
  <li>Conclusion: 1-2 sentences what you have learned
  <li>References, if applicable
</ul>

Note that the submitted report should be in PDF, use naming convention <code>LastnameFirstname_HW#.pdf</code>.</li>

<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>
     <li>ISPRS journals
 </ul>
 <li>Papers 
 <ul>
    <li><a href="https://drive.google.com/drive/folders/0B8j08KoSleFQWGdOd3hfeGZ1cDA">Papers on GIS595 Google drive,</a> organzied by topics
    <li>NCSU papers
 </ul>
</ul>

<h3>Moodle</h3>
To manage your HW reports and project material we will use Moodle. Upload your HW report as PDF file LastnameFirstname_HW#.pdf (for example SmithJohn_HW3.pdf) on Moodle site by 11pm on the due date.
You will also use Moodle to post your project proposal, interim report, presentation and a final paper as well as any additional material that you would like to share (videos, demos, data, google maps).

<!--
<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>
-->