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<title>Innovations in Open Data Products and Cloud-based Geoprocessing</title>
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<!-- ################# CONTENT ################# -->
<section>
<h1>Innovations in<br> Open Data Products and<br> Cloud-based Geoprocessing</h1>
<p style="margin-top: 0.5em">
<a href="https://www.mundialis.de/en/neteler/">Markus Neteler</a>
<br>
& mundialis GmbH & Co. KG
</p>
<img src="img/mundialis_logo.png" alt="mundialis logo" width="20%">
<p><small><a href="https://pretalx.geo-spatial.org/seminar-bucuresti-2023/schedule/">Seminariile geo-spatial.org: București 2023</a></small></p>
<p><small><a href="https://htmlpreview.github.io/?https://github.com/neteler/grass-gis-talks-markus/blob/main/2023_bucharest_data_cloud.html#/">https://github.com/neteler/grass-gis-talks-markus/</a></small></p>
</section>
<!--
<section>
<h2>Über den Sprecher...</h2>
<br>
<ul>
<li> Mitgründer und Senior Consultant bei mundialis, Bonn (DE)</li>
<img class="bio-img" src="img/markus_round.png" alt="Pic of Markus Neteler">
<li> Seit 2016 in Bonn, Deutschland @ mundialis</li>
<li> Jahrelang als Wissenschaftler in Trento, Italien</li>
<li> Seit 1997 aktiv im GRASS GIS Projekt</li>
<li> Mitbegründer von OSGeo, GFOSS.it und FOSSGIS e.V.</li>
</ul>
<p align="right" style="font-size:18px"><a href="https://www.mundialis.de/neteler/">https://www.mundialis.de/neteler/</a></p>
</section>
-->
<section>
<h2>About the presenter...</h2>
<br>
<ul>
<li>Co-founder and senior consultant at mundialis, Bonn (DE)</li>
<img class="bio-img" src="img/markus_round.png" alt="Pic of Markus Neteler">
<li>Years as a researcher in Trento, Italy</li>
<li>Since 2016 in Bonn, Germany @ mundialis</li>
<li>Since 1997 active in the <a href="https://grass.osgeo.org/">GRASS GIS</a> project</li>
<li> Co-founder of <a href="https://www.osgeo.org/">OSGeo</a>, GFOSS.it and FOSSGIS e.V.</li>
</ul>
<p align="right" style="font-size:18px"><a href="https://www.mundialis.de/neteler/">https://www.mundialis.de/neteler/</a></p>
</section>
<!--
<section data-markdown
data-background-image="https://grass.osgeo.org/images/logos/banner.jpg"
data-background-opacity="0.6">
<textarea data-template>
## Overview of this talk
- For newcomers: which GRASS GIS?
- A better GUI experience in GRASS 8.2+
- Interfaces to other software
- Exciting new features in GRASS 8.2+
- GRASS GIS is ready for the cloud
- Community contributions
- Get involved
</textarea>
</section>
-->
<section data-markdown
data-background-image="img/meme_little_time_imgflip_border.png"
data-background-opacity="0.7">
<textarea data-template>
<table border=0>
<tr><td width="33%"></td>
<td>
<h2>Nowadays, there is an abundance of open data</h2>
Still, data remains partially inaccessible to companies, governmental institutions and citizens, due to:
<ul>
<li>special data formats:
<small>think "raw data", i.e., Sentinel-1/2/3/5 satellite data, Lidar point clouds, Copernicus Climate Data Store, ...)</small></li>
<li>lack of experience with data processing and analytical methods</li>
<li>well, the sheer size!<br><br></li>
</ul>
</td>
</tr></table>
</textarea>
</section>
<section data-markdown
data-background-image="https://www.mundialis.de/wordpress/wp-content/uploads/2022/08/sentinel2a_kufra.jpg"
data-background-opacity="0.3">
<textarea data-template>
<h2>Our goal:<br><br> make open data truly accessible in order to support informed decisions</h2>
<ul>
<li>distill information from abundance of data</li>
<li>processing remains complex (projections, formats, etc)</li>
<li>put the science into all</li>
</ul>
<br><br>
<h2>Processing tools</h2>
<ul>
<li>GDAL, GRASS GIS, QGIS</li>
<li>actinia (cloud based geoprocessing engine)</li>
</ul>
</textarea>
</section>
<section>
<h1>New open data sets, freshly produced</h1>
<i class="fa fa-rocket fa-4x"></i>
</section>
<!-- TODO: SRTM vs NASADEM vs COP-DSM -->
<section data-markdown
data-background-image="img/cop_dem30m_shaded_berlin.png"
data-background-opacity="0.2">
<textarea data-template>
<h2><a href="https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/search?resultType=details&sortBy=relevance&any=Copernicus%20DEM&from=1&to=20&fast=index&_content_type=json">Copernicus DEM (COP-DEM) GLO-30:</a><br>
Global Elevation Data</h2>
<img src="img/cop-dem_30m_south_america.jpg" alt="COP-DEM 30 South America" width="40%">
<!-- <img src="img/cop_dem30m_shaded_berlin.png" alt="COP-DEM 30 shaded relief Berlin" class="stretch"> -->
<h3>Prepared by mundialis in a GIS-friendly way</h3>
<ul>
<li>Rectangular pixels -> square pixels</li>
<li>Delivery in COG format, via <a href="https://data.mundialis.de/">data.mundialis.de</a></li>
<li>(cut to Europa)</li>
</ul>
<!--
Quellen in der Produktion von COP-DEM: Airbus WorldDEM infilled on a local basis with the following DEMs: ASTER, SRTM90, SRTM30, SRTM30plus, GMTED2010, TerraSAR-X Radargrammetric DEM, ALOS World 3D-30m.
-->
</textarea>
</section>
<section>
<h2>Climate data time series in higher resolution</h2>
<img src="img/era5_land_t2m_20000101_avg_12km_1km_comparison.png" alt=ERA5 T2m avg daily spatially enhanced" class="stretch">
<ul>
<li>Time series of continental ERA5-Land raster data, spatially improved <a href="https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/search?any=ERA5">from 9 km resolution to 1 km</a> using CHELSA data:</li>
<ul>
<li>Temperature (2000 - 2021)</li>
<li>Precipitation (2000 - 2021)</li>
<li>Relative humidity (2000 - 2021) - after <it>Wright 1997</it></li>
</ul>
<li>Motivation: Calculation of heat island risk, derivation of regional trends, human well-being (thermoregulation of the body).</li>
</ul>
</section>
<section>
<h2>Germany land-cover mapping based on Sentinel-2 data and monitoring of land use changes</h2>
LULC and change detection maps from S2, with <em>r.incora</em>, a related GRASS GIS addon incl. creation of training points from rule sets.
<br>
<img src="img/incora_germany_2019_incl_subset.png" alt="GRASS GIS and LULC classification" class="stretch"><br>
<small>For details, see <a href="https://www.mundialis.de/en/germany-2020-land-cover-based-on-sentinel-2-data/">this</a> blog post. Funding: "incora" mFUND project (FKZ: 19F2079C)</small>
</section>
<section>
<h2>Germany land-cover mapping based on Sentinel-2 data and monitoring of land use changes</h2>
<ul>
<li>LULC data from Sentinel-2 with 6 classes,<br>
for 2016, 2019, 2020, 2021 (<a href="https://data.mundialis.de/geonetwork/srv/eng/catalog.search#/search?any=incora">GNOS search</a>)</li>
<li>Change detection between different maps</li>
</ul>
<img src="img/incora_GNOS.png" alt="GNOS: incora" width="65%">
</section>
<section>
<h2>Building extraction</h2>
<img src="img/rvr_buildings.png" alt="Gebäudeextraktion" class="stretch">
<ul>
<li>For (urban) planning purposes it is essential to have accurate data of the current building stock.</li>
<ul>
<li>The data sets of the "house perimeters" are not available as open data in all federal states.</li>
<li>Automated extraction from aerial photographs and possibly other current sources (LiDAR, nDSM, ...)</li>
<li>Extraction of buildings and green roofs</li>
</ul>
<li>Software now available on GitHub <br>
(<a href="https://github.com/mundialis/rvr_interface">https://github.com/mundialis/rvr_interface</a>)</li>
</ul>
</section>
<section>
<h2>Detection of single trees</h2>
<img src="img/nrw_bahn_einzelbaumerkennung.png" alt="Einzelbaumerkennung" class="stretch">
<ul>
<li>Relevance: see urban climate, traffic safety obligation, biomass estimates, ...</li>
<li>Software now available on GitHub <br>
(<a href="https://github.com/mundialis/rvr_interface">https://github.com/mundialis/rvr_interface</a>)</li>
</ul>
</section>
<section>
<h1>The GIS army knife - developed by the community: GRASS GIS</h1>
<i class="fa fa-rocket fa-4x"></i>
</section>
<section id="GRASS GIS generalities" data-background-image="img/grass_template.png"
data-background-position="bottom"
data-background-size="100% 20%">
<h2>GRASS GIS general features</h2>
<ul>
<li>Free and open source, you can use, modify, improve, share</li>
<li>Large amount of tools: <b>+500</b> <a href="https://grass.osgeo.org/grasss-stable/manuals/full_index.html">core modules</a>, <b>+300</b> <a href="https://grass.osgeo.org/grasss-stable/manuals/addons/">addons</a></li>
<li>Graphical User Interface and command line</li>
<li>C API, Python API and libraries</li>
<li>Interface/connection with R, QGIS, REST API, WPS, etc.</li>
<li>Different data types supported:
<a href="https://grass.osgeo.org/grass-stable/manuals/rasterintro.html">raster</a>
(including <a href="https://grass.osgeo.org/grass-stable/manuals/imageryintro.html">satellite imagery</a>),
<a href="https://grass.osgeo.org/grass-stable/manuals/raster3dintro.html">3D raster or voxel</a>,
<a href="https://grass.osgeo.org/grass-stable/manuals/vectorintro.html">vector</a> and,
<a href="https://grass.osgeo.org/grass-stable/manuals/temporalintro.html">space-time datasets</a>.</li>
</ul>
</section>
<section>
<h2>GRASS GIS: All-in-one software suite</h2>
<ul>
<li>All matured tools available right away
<li>Download of experimental tools possible
<li>Network analysis, hydrology, remote sensing, vector topology, time series, …
</ul>
<br>
<img src="img/grass821.png" alt="GRASS GIS 8.2.1" class="stretch">
</section>
<section>
<h2>Integration of GRASS GIS and Jupyter Notebooks</h2>
<ul>
<li>Notebooks: Mix of text, code, results, images, …</li>
<li>Usage: Prototyping, reproducibility, tutorials, …</li>
<li>Now in GRASS GIS: Python functions for easy integration</li>
</ul>
<!--
<img src="img/jupyter_text_images_3d.png" alt="GRASS GIS and Jupyter notebooks" width="33%">
-->
<img src="img/jupyter_interactive_viewshed.png" alt="GRASS GIS and viewshed" width="33%">
<img src="img/jupyter_timeseries_viewshed.gif" alt="GRASS GIS and viewshed time series" width="40%">
<p>
<a href="https://tinyurl.com/grass-rc2">tinyurl.com/grass-rc2</a> (run in Binder)
</p>
<p>by Vaclav Petras, Anna Petrasova, Caitlin Haedrich</p>
</section>
<section>
<h2>Boxplots in space-time raster data set</h2>
<em>t.rast.boxplot</em> draws boxplots of the raster in a
space-time raster data set.
<br>
<img src="img/t_rast_boxplot_02.png" alt="t.rast.boxplot example" width="45%">
<img src="img/t_rast_boxplot_03.png" alt="t.rast.boxplot example" width="45%"> <p><a href="https://grass.osgeo.org/grass-stable/manuals/addons/t.rast.boxplot.html">addon</a>
by Paulo van Breugel</p>
</section>
<section>
<h2>GRASS Community Meeting Prague 2023</h2>
Work and party: 40 years of GRASS GIS!
<img src="img/grass2023_40bday_collage.jpg" alt="GRASS Meeting in Prague (work)" class="stretch">
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</section>
<section>
<h2>Code contributions</h2>
<br>
<h3>GRASS GIS development is GitHub-centered: core, addons, website</h3>
<ul>
<li>Fill bug reports or feature requests</li>
<li>All issues and PR's are publicly visible</li>
<li>Ask, comment, suggest also in Github <a href="https://github.com/OSGeo/grass/discussions">Discussions</a></li>
<li><em>"Fork me on <a href="https://github.com/OSGeo/grass">GitHub</a>"</em> and suggest changes or fix bugs via pull requests</li>
<li>Create your own addon! See this nice workshop for a guideline:
<a href="https://github.com/wenzeslaus/python-grass-addon">How to write a Python tool for GRASS</a>
</li>
</ul>
<img src="img/octocat.png" alt="GitHub logo" class="stretch">
</section>
<section>
<h1>Going cloud: actinia</h1>
<i class="fa fa-rocket fa-4x"></i>
</section>
<section>
<h2><a href="https://actinia.mundialis.de/"><strong>actinia</strong></a>: The GRASS GIS REST API</h2>
<ul>
<img src="img/actinia.png" alt="actinia logo" width="70px" style="float:right;pad-right:15px;">
<li>Open source REST API for scalable, distributed, high performance processing of geo data using GRASS GIS</li>
<li>More details in this <a href="https://mundialis.github.io/foss4g2022/">FOSS4G presentation</a></li>
<li>Wanna try? Follow this <a href="https://neteler.gitlab.io/actinia-introduction/">tutorial</a> for a demo user</li>
<li>Available on <i class="fa fa-github"></i>: <a href="https://github.com/actinia-org/actinia-core">https://github.com/actinia-org/actinia-core</a></li>
</ul>
<img src="img/ace_actinia_in_grass_session.jpg" alt="GRASS GIS and actinia session" class="stretch">
<small>by Carmen Tawalika, Anika Weinmann, Markus Neteler, Sören Gebbert, …</small>
</section>
<section>
<h2>actinia - QGIS plugin</h2>
<ul>
<img src="img/actinia.png" alt="actinia logo" width="50px" style="float:right;pad-right:15px;">
actinia connector:<br>
a QGIS plugin to control actinia from QGIS
(under development)
</ul>
<img src="img/actinia_qgis_plugin.jpg" alt="actinia - QGIS plugin" class="stretch">
<small>by Anika Weinmann, …</small>
</section>
<section>
<h2>actinia - leafmap</h2>
<ul>
<img src="img/leafmap_logo.png" alt="leafmap logo" width="70px" style="float:right;pad-right:15px;">
Jupyter notebook: <br>
compute in actinia, visualize in <a href="https://leafmap.org/">leafmap</a>
</ul>
<img src="img/actinia_leafmap.jpg" alt="actinia - leafmap" class="stretch"><br>
<small>by Qiusheng Wu, Markus Neteler, …</small>
</section>
<section data-markdown
data-background-image="img/jupyter_openNRW_crop.jpg"
data-background-opacity="0.2">
<textarea data-template>
<h2>Software offerings by mundialis</h2>
<br><br>
<h3>Software (yes, it's FOSS!)</h3>
<ul>
<li> <a href="https://github.com/mundialis/">https://github.com/mundialis/</a> (> 60 repos)</li>
<li> <a href="https://github.com/actinia-org/">https://github.com/actinia-org/</a> (> 20 repos)</li>
</ul>
<br><br><br>
<h3>Open Data</h3>
<ul>
<li>Data (COG, GPKG) & metadata at <a href="https://data.mundialis.de">https://data.mundialis.de</a></li>
<li>Datasets also on <a href="https://zenodo.org/search?page=1&size=200&q=mundialis">https://zenodo.org</a> (CITATION.cff API upload)</li>
</ul>
<br><br><br>
<h3>Tutorials</h3>
<ul>
<li>Jupyter notebooks at GitHub: <a href="https://github.com/actinia-org/actinia-jupyter/">actinia</a> & <a href="https://github.com/mundialis/">mundialis</a></li>
</ul>
</textarea>
</section>
<section>
<h1>Talk to us!</h1>
<h3>mundialis GmbH & Co. KG</h3>
<br>Koelnstrasse 99
<br>53111 Bonn
<br><a href="https://www.mundialis.de">www.mundialis.de</a>
<p>Data: <a href="https://data.mundialis.de">https://data.mundialis.de</a></p>
<p>Presentation: <a href="https://github.com/neteler/grass-gis-talks-markus/">https://github.com/neteler/grass-gis-talks-markus/</a></p>
<br>
<a href="https://mastodon.social/@mundialis"><i class="fa fa-mastodon"></i>@mundialis</a>
<p>
<a href="https://twitter.com/MundialisInfo"><i class="fa fa-twitter"></i>MundialisInfo</a>
</section>
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<h1>Thanks for your attention!!</h1>
<br>
<img src="img/grass_gis.svg" alt="GRASS GIS logo" width="20%">
<p><a href="https://grass.osgeo.org/">grass.osgeo.org</a></p>
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