feat: add lidar course
@@ -0,0 +1,5 @@
|
||||
*.las
|
||||
*.laz
|
||||
*.xyz
|
||||
venv/
|
||||
.ipynb_*
|
||||
|
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|
||||
<body>
|
||||
@@ -34,34 +46,104 @@
|
||||
<hr>
|
||||
<small>Joaquin Gottlebe</small>
|
||||
<small>24.04.2026</small>
|
||||
<br>
|
||||
<img src="https://www.enerparc.de/img/static/logo_enerparc.png" width="200px"></img>
|
||||
</section>
|
||||
<section >
|
||||
|
||||
<h3>Basics: Geographic Information (Geodata)</h3>
|
||||
<div class="r-stack">
|
||||
|
||||
<img class="fragment fade-out r-stretch" src="images/geodata_features.png"></img>
|
||||
|
||||
<table class="fragment current-visible" border="1" cellpadding="6" cellspacing="0">
|
||||
<thead>
|
||||
<tr>
|
||||
<th>id</th>
|
||||
<th>name</th>
|
||||
<th>category</th>
|
||||
<th>elevation_m</th>
|
||||
<th>geometry</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr>
|
||||
<td>1</td>
|
||||
<td>Berlin Center</td>
|
||||
<td>city</td>
|
||||
<td>34</td>
|
||||
<td>POINT(13.4050 52.5200)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>2</td>
|
||||
<td>Potsdam Station</td>
|
||||
<td>transport</td>
|
||||
<td>38</td>
|
||||
<td>POINT(13.0657 52.3914)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>3</td>
|
||||
<td>Forest Plot A</td>
|
||||
<td>sample_site</td>
|
||||
<td>72</td>
|
||||
<td>POINT(12.9876 52.4123)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>4</td>
|
||||
<td>Lake View</td>
|
||||
<td>observation</td>
|
||||
<td>29</td>
|
||||
<td>POINT(13.1025 52.4568)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>5</td>
|
||||
<td>Weather Sensor 01</td>
|
||||
<td>sensor</td>
|
||||
<td>45</td>
|
||||
<td>POINT(13.2211 52.3347)</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</div>
|
||||
<p><cite>Minn, Michael. Visualizing Terrain in ArcGIS Pro. https://michaelminn.net/tutorials/arcgis-pro-terrain/</cite></p>
|
||||
<p>Data and information which has an <b>association with a location relative to Earth</b></p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>Basics: Geographic Information Systems (GIS)</h3>
|
||||
<img src="images/qgis.png" class="r-stretch"></img>
|
||||
<p>Consists of integrated computer hardware and software that <b>store, manage, analyze, edit, output, and visualize geographic data.</b></p>
|
||||
<p><cite>©OpenStreetMap contributors</cite></p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>Internship Overview</h3>
|
||||
<p class="fragment">Company: <b>Enerparc AG</b></p>
|
||||
<p class="fragment">Industry domain: <b>Solar industry</b></p>
|
||||
<p class="fragment">Duration: <b>360 hours over 4 months</b></p>
|
||||
<p class="fragment">Role: <b>Developing Geo-ETL-Pipelines</b></p>
|
||||
<p class="fragment">Role: <b>GIS Developer</b></p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>My Background</h3>
|
||||
<p class="fragment">Bachelor in <b>Geography</b></p>
|
||||
<p class="fragment">Specialised in <b>Remote Sensing</b> and <b>Geographic Information Systems</b></p>
|
||||
<p class="fragment"><b>4</b> years of experience in <b>tutoring</b> RS/GIS</p>
|
||||
<p class="fragment">Currently pursuing Master in <b>Computational Science</b></p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>Motivation</h3>
|
||||
<p class="fragment">First industry <b>experience</b></p>
|
||||
<p class="fragment">How to handle big <b>Geodata-ETL-Pipelines</b>?</p>
|
||||
<p class="fragment">How to handle <b>geodata pipelines</b>?</p>
|
||||
<p class="fragment">How is the dev experience in a <b>non-tech company</b>?</p>
|
||||
</section>
|
||||
<section>
|
||||
<h5>Enerparc Expertise</h5>
|
||||
<img src="images/enerparc_expertise.png"></img>
|
||||
<p>ENERPARC AG is involved in every stage of <b>solar energy projects</b>, acting as both a <b>project developer, operator and a service provider</b> for third parties.</p>
|
||||
<img src="images/enerparc_expertise.png" class="r-stretch"></img>
|
||||
<p><cite>ENERPARC AG. https://www.enerparc.de</cite></p>
|
||||
</section>
|
||||
<section>
|
||||
<h5>Enerparc Overview</h5>
|
||||
<img src="images/enerparc_overview.png"></img>
|
||||
<h5>Enerparc in numbers</h5>
|
||||
<img src="images/enerparc_overview.png" class="r-stretch"></img>
|
||||
<p>Covers the electricity needs of <b>1.2 million households</b></p>
|
||||
<p><cite>ENERPARC AG. https://www.enerparc.de</cite></p>
|
||||
</section>
|
||||
<section>
|
||||
@@ -71,32 +153,79 @@
|
||||
</section>
|
||||
<section>
|
||||
<h3>My Team</h3>
|
||||
<p class="fragment">Project Development: <b>GIS Development & Administration</b></p>
|
||||
<p class="fragment"><b>4 Persons</b>: 1 Team lead, 1 Full time, 2 Working Students</p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>My Role</h3>
|
||||
<h3>Problem Statement</h3>
|
||||
<b class="fragment">Use cases</b>
|
||||
<p class="fragment">Identification of <b>development possibilities</b></p>
|
||||
<p class="fragment">Monitoring of <b>market activity</b></p>
|
||||
<b class="fragment">Needed</b>
|
||||
<p class="fragment">Daily updated geodata on <b>energy assets of Germany</b></p>
|
||||
<b class="fragment">Approach</b>
|
||||
<p class="fragment">A process where geodata is periodicaly <b>extracted</b> from an input source, <b>transformed</b> with buisness logic, and <b>loaded</b> into a geodatabase. <b>(ETL)</b></p>
|
||||
</section>
|
||||
<section>
|
||||
<h3>My Projects</h3>
|
||||
<h3>Input Source</h3>
|
||||
<div class="r-stack r-stretch">
|
||||
<img src="https://www.marktstammdatenregister.de/MaStR/Assets/img/MaStR_Logo.svg" class="fragment fade-in-then-out" width="600px"></img>
|
||||
<p class="fragment fade-in-then-out">Is an official registry of <b>all facilities and units in the German energy system</b>. It is maintained by the Bundesnetzagentur. </p>
|
||||
<img src="images/rdm.png" class="fragment"></img>
|
||||
</div>
|
||||
<cite>www.marktstammdatenregister.de</cite>
|
||||
</section>
|
||||
<section>
|
||||
<h3>What is Geographic Information</h3>
|
||||
<img src="images/geodata_features.png"></img>
|
||||
<p><cite>Minn, Michael. Visualizing Terrain in ArcGIS Pro. https://michaelminn.net/tutorials/arcgis-pro-terrain/</cite></p>
|
||||
<h3>Output Destination</h3>
|
||||
<img src="https://upload.wikimedia.org/wikipedia/commons/thumb/2/29/Postgresql_elephant.svg/500px-Postgresql_elephant.svg.png" height="200px"></img>
|
||||
</section>
|
||||
<section>
|
||||
<h3>What is a Geographic Information Systems</h3>
|
||||
<img src="images/qgis.png"></img>
|
||||
<p><cite>Sutton, Tim. QGIS Screenshot. https://hub.qgis.org/screenshots/1/</cite></p>
|
||||
<h3>Extraction Methods</h3>
|
||||
<table>
|
||||
<th>Methods</th>
|
||||
<th>Advantage</th>
|
||||
<th>Disadvantage</th>
|
||||
<tr>
|
||||
<td>Simple Object Access Protocol (SOAP)</td>
|
||||
</tr>
|
||||
<tr>
|
||||
<td>Bulk download (ZIP)</td>
|
||||
</tr>
|
||||
</table>
|
||||
</section>
|
||||
<section>
|
||||
<h3>Transformation Methods</h3>
|
||||
<img src="https://geopandas.org/en/stable/_static/geopandas_logo_web.svg" height="200px"></img>
|
||||
<img src="https://upload.wikimedia.org/wikipedia/en/6/60/PostGIS_logo.png" height="200px"></img>
|
||||
</section>
|
||||
<section>
|
||||
<h3>Loading Methods</h3>
|
||||
</section>
|
||||
<section>
|
||||
<p>"Those who do not understand SQL are condemned to reinvent it, poorly."</p>
|
||||
<cite>Adapted from Henry Spencer</cite>
|
||||
</section>
|
||||
</div>
|
||||
</div>
|
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|
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attribution: '© OpenStreetMap contributors'
|
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map.fitBounds(germanyBounds);
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PROJCS["ETRS89_UTM_Zone33_7",GEOGCS["GCS_ETRS_1989",DATUM["D_ETRS_1989",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Transverse_Mercator"],PARAMETER["False_Easting",3500000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",15.0],PARAMETER["Scale_Factor",0.9996],PARAMETER["Latitude_Of_Origin",0.0],UNIT["Meter",1.0]]
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|
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@@ -0,0 +1,48 @@
|
||||
import json
|
||||
import laspy
|
||||
import numpy as np
|
||||
import open3d as o3d
|
||||
|
||||
def density(data):
|
||||
min_x, max_x = np.min(data.x), np.max(data.x)
|
||||
min_y, max_y = np.min(data.y), np.max(data.y)
|
||||
|
||||
area = (max_x - min_x) * (max_y - min_y)
|
||||
n_points = len(data.x)
|
||||
|
||||
density = n_points / area
|
||||
return density
|
||||
|
||||
def data2np(data):
|
||||
points = np.vstack((data.x, data.y, data.z)).transpose()
|
||||
return points
|
||||
|
||||
def plot_o3d(points):
|
||||
pcd = o3d.geometry.PointCloud()
|
||||
pcd.points = o3d.utility.Vector3dVector(points)
|
||||
o3d.visualization.draw_geometries([pcd])
|
||||
|
||||
|
||||
def main():
|
||||
data_golm = laspy.read("2012/golm_364806_fp.las")
|
||||
data_palais = laspy.read("2012/neuespalais362808_fp.las")
|
||||
|
||||
density_golm = density(data_golm)
|
||||
density_palais = density(data_palais)
|
||||
|
||||
output_density = {
|
||||
"golm": density_golm,
|
||||
"palais": density_palais
|
||||
}
|
||||
|
||||
with open("density.json", "w") as f:
|
||||
json.dump(output_density, f, indent=4)
|
||||
|
||||
#points_golm = data2np(data_golm)
|
||||
#points_palais = data2np(data_golm)
|
||||
|
||||
#plot_o3d(points_golm)
|
||||
#plot_o3d(points_palais)
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,79 @@
|
||||
= Lab 1
|
||||
|
||||
Joaquin Gottlebe
|
||||
|
||||
== Question 1
|
||||
|
||||
#figure(
|
||||
image("q1.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
== Question 2
|
||||
|
||||
#figure(
|
||||
image("q2_return.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
#figure(
|
||||
image("q2_flight.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
== Question 3
|
||||
|
||||
#figure(
|
||||
image("q3_golm.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
#figure(
|
||||
image("q3_golm_2018.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
#figure(
|
||||
image("q3_neuespalais.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
#figure(
|
||||
image("q3_neuespalais_2018.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
== Question 4
|
||||
|
||||
#figure(
|
||||
image("q4_golm.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
#figure(
|
||||
image("q4_palais.png", width: 80%),
|
||||
caption: [...],
|
||||
)
|
||||
|
||||
== Question 5
|
||||
|
||||
#let density = json("density.json")
|
||||
|
||||
Golm: #density.golm \
|
||||
Neues Palais: #density.palais
|
||||
|
||||
== Question 6
|
||||
|
||||
== Question 7
|
||||
|
||||
== Question 8
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
||||
|
After Width: | Height: | Size: 724 KiB |
|
After Width: | Height: | Size: 437 KiB |
|
After Width: | Height: | Size: 357 KiB |
|
After Width: | Height: | Size: 252 KiB |
|
After Width: | Height: | Size: 531 KiB |
|
After Width: | Height: | Size: 164 KiB |
|
After Width: | Height: | Size: 633 KiB |
|
After Width: | Height: | Size: 861 KiB |
|
After Width: | Height: | Size: 1016 KiB |
@@ -0,0 +1,7 @@
|
||||
open3d
|
||||
PDAL
|
||||
GDAL==3.11.5
|
||||
scipy
|
||||
numpy
|
||||
pandas
|
||||
laspy
|
||||