Add external tutorials (#5)

from https://grass.osgeo.org/learn/tutorials/

content/tutorials/external/FUTURES.qmd

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+---
+title: "Urban growth modeling with FUTURES"
+date: 01/01/2020
+author: Anna Petrasova
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [advanced, Python, R, external]
+description: This workshop introduces GRASS GIS and FUTURES urban growth modeling framework
+execute: 
+  eval: false
+---
+
+This is material for US-IALE 2019 workshop FUTURES land-change modeling for evaluating innovative conservation scenarios held in Fort Collins, Colorado, 2019. This workshop introduces GRASS GIS and FUTURES urban growth modeling framework.
+
+<https://grasswiki.osgeo.org/wiki/FUTURES_land-change_modeling_for_evaluating_innovative_conservation_scenarios>
+
+See also [an older version](https://grasswiki.osgeo.org/wiki/Workshop_on_urban_growth_modeling_with_FUTURES) of this workshop delivered at US-IALE 2016.
+
+![](images/FUTURES_animation_tool.gif){.preview-image}

content/tutorials/external/GISMentors_Jena.qmd

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+---
+title: "GISMentors - Courses"
+author: "GISMentors"
+date: 01/01/2022
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, advanced, GUI, Python, course, external, R, ecology, time series]
+description: Advanced geospatial analysis with GRASS GIS
+execute: 
+  eval: false
+---
+
+# GRASS GIS Workshop in Jena 2022
+
+<https://training.gismentors.eu/grass-gis-workshop-jena/>
+
+Authors: Martin Landa
+
+# GRASS GIS IRSAE winter course 2018
+
+This 3-days intense workshop on GIS in Applied Ecology from 24.09.2018 to 27.09.2018 at the cosy Studenterhytta in Oslo has been offered by IRSAE members NINA and FEM.
+Topic of the course is Advanced Geospatial Analysis with an emphasis on handling of Earth Observation and Time Series data using Free and Open Source Software. Based on a set of 29 course units, final content for the 3 days event was tailored according to participants interest as well as prior knowledge and experience.
+The course was kindly supported by IRSAE.
+
+<https://training.gismentors.eu/grass-gis-irsae-winter-course-2018/>
+
+Authors: Martin Landa, Luca Delucchi, Stefan Blumentrath
+
+![](images/GISMentors_jena.png){.preview-image}

content/tutorials/external/GISMentors_czech.qmd

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+---
+title: "GISMentors - GRASS GIS školení"
+lang: cs
+date: 01/01/2023
+author: GISMentors
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, advanced, GUI, Python, external, Czech, course]
+execute: 
+  eval: false
+---
+
+# Školení GRASS GIS pro začátečníky
+
+V tomto kurzu Vás naučíme zvládat základní techniky práce v systému GRASS, práci s rastrovými a vektorovými geodaty, provádět běžné GIS analýzy a jejich automatizaci pomocí grafického modeleru. Školení je zaměřeno na verzi GRASS 7.8.
+
+<https://training.gismentors.eu/grass-gis-zacatecnik/>
+
+# Školení GRASS GIS pro pokročilé
+
+GRASS GIS jako komplexní nástroj pro řešení nejnáročnějších GIS analýz. Tento kurz je určen všem, kteří potřebují provádět pokročilé GIS analýzy s využitím široké škály nástrojů systému GRASS včetně automatizace úloh prostřednictvím uživatelských Python skriptů.
+
+<https://training.gismentors.eu/grass-gis-pokrocily/>
+
+![](images/wxgui-map-query.png){.preview-image}
+
+# Autoři
+
+[GISMentors](https://gismentors.cz):
+
+* Martin Landa <martin.landa opengeolabs.cz>\
+* Jáchym Čepický <jachym.cepicky opengeolabs.cz>

content/tutorials/external/GIS_for_designers.qmd

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+---
+title: "GIS for Designers"
+author: "Brendan Harmon"
+date: 01/01/2021
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, GUI, Python, course, external]
+description: A course on GIS for landscape architects, urban planners, and other designers
+execute: 
+  eval: false
+---
+
+A guide to Geographic Information Systems for landscape architects, urban planners, and other designers. Topics include terrain modeling, hydrology, landscape ecology, and urban analytics.
+
+<https://baharmon.github.io/gis-for-designers>
+
+![](images/new-orleans-render-2.png){.preview-image}

content/tutorials/external/NCSU_GIS582.qmd

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+---
+title: "NCSU Geospatial Modeling and Analysis Course"
+date: 01/01/2022
+author: Anna Petrasova
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [course, external, beginner, intermediate]
+execute: 
+  eval: false
+---
+
+Geospatial Modeling and Analysis explains digital representation and analysis of geospatial phenomena and provides foundations in methods and algorithms used in GIS analysis. Special focus is on terrain modeling, geomorphometry, watershed analysis and introductory GIS-based modeling of landscape processes (water, sediment). The course includes analysis from lidar data, coastal change assessment and 3D visualization.
+
+<https://ncsu-geoforall-lab.github.io/geospatial-modeling-course/grass/>
+
+![](images/NCSU_582.png){.preview-image}

content/tutorials/external/ecodiv.qmd

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+---
+title: "Ecodiv.earth tutorials"
+date: 01/01/2024
+author: Paulo van Breugel
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, advanced, GUI, Python, R, external, ecology, statistics, visualization, biodiversity]
+description: GRASS tutorials on ecology and biogeography topics
+execute: 
+  eval: false
+---
+
+GRASS tutorials on ecology and biogeography topics by Paulo van Breugel:
+[https://ecodiv.earth/tutorials.html](https://ecodiv.earth/tutorials.html#category=grass%20gis)
+
+![](images/ecodiv.png){.preview-image}

content/tutorials/external/opengeohub2019.qmd

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+---
+title: "OpenGeoHub 2019: GRASS GIS for environmental monitoring and disease ecology applications"
+date: 2019-09-01
+author: Verónica Andreo
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [external, beginner, intermediate, R, ecology, rgrass, Python, time series]
+execute: 
+  eval: false
+---
+
+This is a series of tutorials on GRASS GIS for environmental modeling delivered at OpenGeoHub 2019.
+
+Authors: Verónica Andreo
+
+# Time series processing for environmental monitoring
+<https://github.com/veroandreo/grass_opengeohub2019/blob/master/pdf/tgrass_lst.pdf>
+
+
+In this tutorial we use a time series of monthly MODIS LST data to go through the creation of time series and registration of maps, perform different temporal algebra operations, aggregation, estimate anomalies and obtain zonal statistics for time series while exploring how to characterize Surface Urban Heat Islands.
+
+# Analyzing space-time satellite data for disease ecology 
+<https://github.com/veroandreo/grass_opengeohub2019/blob/master/pdf/tgrass_rstats_disease_ecology.pdf>
+
+In this tutorial we explore the combined use of GRASS GIS and R. We use a daily time series of LST to extract relevant environmental variables for a mosquito species that transmits West Nile virus in Northern Italy. Particularly, we estimate bioclimatic variables such as those from Worldclim, start, end and length of mosquito season, number of consecutive days with a certain LST value, number of potential mosquito generations, etc. We then import our vector and raster maps into R and proceed with the modeling and prediction.
+
+
+
+
+![](images/opengeohub2019.png){.preview-image}

content/tutorials/external/point_clouds.qmd

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+---
+title: "Processing lidar and UAV point clouds"
+date: 01/01/2017
+author: Anna Petrasova
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [external, beginner, intermediate, lidar]
+execute: 
+  eval: false
+---
+
+This hands-on workshop, delivered at FOSS4G Boston 2017, showcases the tools in GRASS GIS for processing point clouds obtained by lidar or through processing of UAV imagery. It explores the properties of the point cloud, interpolate surfaces, and perform advanced terrain analyses to detect landforms and artifacts. The workshop will go through several terrain 2D and 3D visualization techniques to get more information out of the data and finish with vegetation analysis.
+
+Authors: Vaclav Petras, Anna Petrasova, and Helena Mitasova from North Carolina State University
+
+<https://grasswiki.osgeo.org/wiki/Processing_lidar_and_UAV_point_clouds_in_GRASS_GIS_(workshop_at_FOSS4G_Boston_2017)>
+
+![](images/lidar_workshop_Boston.png){.preview-image}

content/tutorials/external/portuguese_resources_Grohmann.qmd

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+---
+title: "Geoprocessamento com GRASS GIS"
+lang: pt
+author: Carlos Grohmann
+date: 01/01/2021
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, external, Portuguese]
+description: Tutoriais GRASS GIS em português
+execute: 
+  eval: false
+---
+
+* [Curso - Introdução ao SIG com Software Livre (GRASS) (2021)](http://carlosgrohmann.com/downloads/sigcomsl_dados/aula_intro_grass_2021.pdf)
+
+* [Playlist de aulas sobre GRASS-GIS](https://www.youtube.com/playlist?list=PL9GztlLGb7RovKMMO2ohYdfxfILXjxwEy)
+
+* [Geoprocessamento com GRASS-GIS (2016)](https://figshare.com/articles/Geoprocessamento_com_GRASS-GIS/3502184)
+
+* [Geoprocessamento com Software Livre: GRASS-GIS e QGIS (2012)](https://figshare.com/articles/Geoprocessamento_com_Software_Livre_GRASS_GIS_e_QGIS/1004167)
+
+* [Introdução à Análise Digital de Terreno com GRASS-GIS (2008)](https://figshare.com/articles/Introdu_o_An_lise_Digital_de_Terreno_com_GRASS_GIS/1004165)
+
+![](images/grohmann_3D.png){.preview-image}

content/tutorials/external/spanish_resources_Vero.qmd

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+---
+title: "Teledeteccion, OBIA y series de tiempo"
+lang: es
+date: 01/01/2021
+author: Verónica Andreo
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, external, Spanish]
+description: Procesamiento y análisis de datos espaciales en GRASS GIS
+execute: 
+  eval: false
+---
+
+Este taller abordará el procesamiento y análisis de datos
+espacio-temporales con uno de los Sistemas de Información Geográfica (SIG) de código abierto más populares: GRASS GIS 7 .
+
+Durante este taller los participantes obtendrán una visión general de las capacidades de GRASS GIS y experiencia práctica en procesamiento de datos raster, vectoriales y series de tiempo de productos satelitales para análisis ecológicos y ambientales.
+
+El taller está dirigido a profesionales y técnicos con experiencia en el área de la geomática que quieran abordar una introducción al software GRASS GIS para realizar procesamiento y análisis de datos espaciales.
+
+<https://gitlab.com/veroandreo/maie-procesamiento/-/tree/taller-grass-online>
+
+Autora: Dra. Verónica Andreo
+
+![](images/vero_obia.png){.preview-image}

content/tutorials/external/spanish_resources_wiki.qmd

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+---
+title: "Tutoriales de GRASS GIS en grasswiki"
+lang: es
+date: 01/01/2017
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, external, Spanish]
+description: Tutoriales de GRASS GIS en grasswiki traducidos al español
+execute: 
+  eval: false
+---
+
+
+* [Visualizacion analitica de datos](https://grasswiki.osgeo.org/wiki/Analytical_data_visualizations_at_ICC_2017/es) (2017)
+* [Libera el poder de GRASS GIS](https://grasswiki.osgeo.org/wiki/Unleash_the_power_of_GRASS_GIS_at_US-IALE_2017/es) (2017)
+* [Procesamiento de datos LiDAR y de UAV](https://grasswiki.osgeo.org/wiki/Processing_lidar_and_UAV_point_clouds_in_GRASS_GIS_(workshop_at_FOSS4G_Boston_2017)/es) (2017)
+* [Procesamiento de series de tiempo con GRASS y R](https://grasswiki.osgeo.org/wiki/Temporal_data_processing/GRASS_R_raster_time_series_processing/es) (2017)
+
+![](images/Different_terrain_analyses_and_visualizations_in_multiple_Map_Displays.png){.preview-image}

content/tutorials/external/spatio-temporal_visualization.qmd

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+---
+title: "Spatio-temporal data handling and visualization"
+date: 2014-09-01
+author: Anna Petrasova
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [external, intermediate, visualization, time series]
+description: This is a FOSS4G 2014 workshop on GRASS GIS time series data handling and visualization.
+execute: 
+  eval: false
+---
+
+This is a FOSS4G 2014 workshop on GRASS GIS time series data handling and visualization, featuring analysis and visualization of climate data, terrain time series and solar radiation modeling.
+
+<https://ncsu-geoforall-lab.github.io/grass-temporal-workshop/>
+
+Authors: Vaclav Petras, Anna Petrasova, Helena Mitasova, Markus Neteler
+
+![](images/NagsHead.gif){.preview-image}

content/tutorials/external/unleash_the_power_of_GRASS_GIS.qmd

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+---
+title: "Unleash the power of GRASS GIS"
+author: "Anna Petrasova"
+date: 01/01/2023
+format: 
+  html:
+    toc: true
+    code-tools: true
+    code-copy: true
+    code-fold: false
+categories: [beginner, intermediate, GUI, Google Colab, Python, external]
+execute: 
+  eval: false
+---
+
+In this workshop, delivered at FOSS4G NA 2023, we explain and practice GRASS GIS concepts like computational region or mask and demonstrate them on examples of efficient raster, vector, and imagery processing. The workshop runs in a JupyterLab environment, introducing Python scripting for workflow automation. We also take advantage of the latest GRASS GIS Python features for Jupyter, including 2D, 3D, web map, and temporal visualizations. This workshop is suitable for both new and experienced GRASS GIS users. While you can run the workshop locally if desired, you can also use a cloud environment so no installation is required.
+
+Workshop instructions and material:\
+<https://github.com/ncsu-geoforall-lab/grass-gis-workshop-foss4gna-2023>
+
+![](images/jupyter_timeseries_viewshed.gif){.preview-image}
+
+# Similar workshops
+
+This workshop has been offered several times:
+
+* [workshop](https://github.com/ncsu-geoforall-lab/grass-gis-workshop-vanderbilt-2024) at Vanderbilt university (2024)
+* [workshop](https://github.com/ncsu-geoforall-lab/grass-gis-workshop-foss4g-2022) at FOSS4G 2022
+* [workshop](https://github.com/ncsu-geoforall-lab/grass-gis-workshop-FOSS4G-2021) at FOSS4G 2021
+
+* [workshop](https://grasswiki.osgeo.org/wiki/From_GRASS_GIS_novice_to_power_user_(workshop_at_FOSS4G_Boston_2017)) at FOSS4G 2017
+
+# Authors
+
+Anna Petrasova, NCSU Center for Geospatial Analytics\
+Caitlin Haedrich, NCSU Center for Geospatial Analytics\
+Vaclav Petras, NCSU Center for Geospatial Analytics