NCGIS2021 - Revision history

⚠️Wenzeslaus: /* Presentations */ avoid the links turned into just the number when it is not reference/citation

2021-04-22T18:42:04Z

Presentations: avoid the links turned into just the number when it is not reference/citation

← Older revision		Revision as of 18:42, 22 April 2021
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	* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)		* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)
	* Materials: [https://youtu.be/p9KCfufNYgE Recording]		* Materials: [https://youtu.be/p9KCfufNYgE Recording]
	* Slides: [https://github.com/dnewcomb/grasspresent/blob/main/NCGIS_2021_recreating_the_DEM_dn_svm2.odp]		* Slides: [https://github.com/dnewcomb/grasspresent/blob/main/NCGIS_2021_recreating_the_DEM_dn_svm2.odp ODP at GitHub]

	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===
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	* Speaker: Doug Newcomb (USFWS)		* Speaker: Doug Newcomb (USFWS)
	* Materials: [https://youtu.be/3hOwUdaV4yM Recording]		* Materials: [https://youtu.be/3hOwUdaV4yM Recording]
	* Slides: [https://ecos.fws.gov/ServCat/DownloadFile/196770]		* Slides: [https://ecos.fws.gov/ServCat/DownloadFile/196770 PPTX at USFWS ECOS]

	== Posters ==		== Posters ==

⚠️Dnewcomb: added link to slides from github site

2021-03-30T16:26:22Z

added link to slides from github site

← Older revision		Revision as of 16:26, 30 March 2021
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	* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)		* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)
	* Materials: [https://youtu.be/p9KCfufNYgE Recording]		* Materials: [https://youtu.be/p9KCfufNYgE Recording]
			* Slides: [https://github.com/dnewcomb/grasspresent/blob/main/NCGIS_2021_recreating_the_DEM_dn_svm2.odp]

	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===

⚠️Dnewcomb: Added link to powerpoint presentation

2021-03-30T16:17:56Z

Added link to powerpoint presentation

← Older revision		Revision as of 16:17, 30 March 2021
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	* Speaker: Doug Newcomb (USFWS)		* Speaker: Doug Newcomb (USFWS)
	* Materials: [https://youtu.be/3hOwUdaV4yM Recording]		* Materials: [https://youtu.be/3hOwUdaV4yM Recording]
			* Slides: [https://ecos.fws.gov/ServCat/DownloadFile/196770]

	== Posters ==		== Posters ==

⚠️Wenzeslaus: add video links

2021-03-17T01:04:57Z

add video links

← Older revision		Revision as of 01:04, 17 March 2021
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	* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.		* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.
	* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)		* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)
			* Materials: [https://youtu.be/p9KCfufNYgE Recording]

	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===
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	* Description: GRASS GIS is an all-in-one tool for geospatial analysis and remote sensing made by users for users. GRASS GIS is open source which removes the licensing hassle and cost and puts users to the center of the story. This talk will highlight the new major release of GRASS GIS. Version 8 provides a completely new first-time user experience and streamlines how users interact with their data. New features include dark-themed interface support, Voronoi-based area skeletons, gap filling, near feature attribute statistics, image collection support, customizable solar radiance model, and unlimited fine-scale hydrologic simulation. The new version contains all features from the previous versions including Python 3 scripting, spatio-temporal data analysis, PostgreSQL connections, HPC cluster support, low-end hardware support, and more. Experimental features available for download now include buffer statistics, road centerlines, vector attribute update with Python syntax, coastal, stream, and dam flooding, mass-preserving interpolation, transect generation, longest flow path, iterative subwatershed delineation, edge detection, user and producer accuracies, attribute plots, valley flatness, cost-distance area connectivity, and Sentinel, MODIS, USGS, and GBIF data download. Additionally, issues, fixes, and ongoing improvements are now publicly accessible at GitHub. This talk presents contributions by the whole GRASS GIS user and developer community and highlights additions by the Center for Geospatial Analytics at North Carolina State University.		* Description: GRASS GIS is an all-in-one tool for geospatial analysis and remote sensing made by users for users. GRASS GIS is open source which removes the licensing hassle and cost and puts users to the center of the story. This talk will highlight the new major release of GRASS GIS. Version 8 provides a completely new first-time user experience and streamlines how users interact with their data. New features include dark-themed interface support, Voronoi-based area skeletons, gap filling, near feature attribute statistics, image collection support, customizable solar radiance model, and unlimited fine-scale hydrologic simulation. The new version contains all features from the previous versions including Python 3 scripting, spatio-temporal data analysis, PostgreSQL connections, HPC cluster support, low-end hardware support, and more. Experimental features available for download now include buffer statistics, road centerlines, vector attribute update with Python syntax, coastal, stream, and dam flooding, mass-preserving interpolation, transect generation, longest flow path, iterative subwatershed delineation, edge detection, user and producer accuracies, attribute plots, valley flatness, cost-distance area connectivity, and Sentinel, MODIS, USGS, and GBIF data download. Additionally, issues, fixes, and ongoing improvements are now publicly accessible at GitHub. This talk presents contributions by the whole GRASS GIS user and developer community and highlights additions by the Center for Geospatial Analytics at North Carolina State University.
	* Speakers: Vaclav Petras (NC State University), Anna Petrasova (NC State University)		* Speakers: Vaclav Petras (NC State University), Anna Petrasova (NC State University)
	* Materials: [https://wenzeslaus.github.io/grass-gis-talks/ncgis2021.html Slides]		* Materials: [https://youtu.be/-elznGO_r_c Recording], [https://wenzeslaus.github.io/grass-gis-talks/ncgis2021.html Slides]

	=== Creating Bathymetric Data for a Freshwater Reservoir using Satellite Imagery ===		=== Creating Bathymetric Data for a Freshwater Reservoir using Satellite Imagery ===
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	* Description: As part of a habitat assessment for aquatic species in the Roanoke Rapids reservoir, recent bathymetric data was data was needed. The only publicly available bathymetric data was 5 ft contour lines from the historic USGS 7.5’ quadrangle. Using publicly available Sentinel 2 data, depth data from biological sampling locations, lake water level data, and publicly available LiDAR data, a bathymetry layer was created using a combination of GRASS GIS software and the R project statistical software.		* Description: As part of a habitat assessment for aquatic species in the Roanoke Rapids reservoir, recent bathymetric data was data was needed. The only publicly available bathymetric data was 5 ft contour lines from the historic USGS 7.5’ quadrangle. Using publicly available Sentinel 2 data, depth data from biological sampling locations, lake water level data, and publicly available LiDAR data, a bathymetry layer was created using a combination of GRASS GIS software and the R project statistical software.
	* Speaker: Doug Newcomb (USFWS)		* Speaker: Doug Newcomb (USFWS)
			* Materials: [https://youtu.be/3hOwUdaV4yM Recording]

	== Posters ==		== Posters ==

⚠️Wenzeslaus: /* Presentations */

2021-03-06T02:19:51Z

Presentations

← Older revision		Revision as of 02:19, 6 March 2021
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	* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.		* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.
	* Speakers: Doug Newcomb , Stephen Mather (Cleveland Metroparks)		* Speakers: Doug Newcomb, Stephen Mather (Cleveland Metroparks)

	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===

⚠️Wenzeslaus: /* FUTURES v2: Urban Growth Modeling at Scale */ add DOI and RG link

2021-03-06T02:19:31Z

FUTURES v2: Urban Growth Modeling at Scale: add DOI and RG link

← Older revision		Revision as of 02:19, 6 March 2021
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	* Authors: Anna Petrasova, Georgina Sanchez, Vaclav Petras, Ross K. Meentemeyer		* Authors: Anna Petrasova, Georgina Sanchez, Vaclav Petras, Ross K. Meentemeyer
			* [https://www.researchgate.net/publication/349505889_FUTURES_v2_Urban_Growth_Modeling_at_Scale#fullTextFileContent Poster at ResearchGate]
			* Citation: Petrasova, A., Sanchez, G., Petras, V., Meentemeyer, R.K. (2021) FUTURES v2: Urban Growth Modeling at Scale. NC GIS Conference. February 2021. [https://doi.org/10.13140/RG.2.2.11830.22081 DOI: 10.13140/RG.2.2.11830.22081]

	== See also ==		== See also ==

⚠️Dnewcomb: First presentation not made as USFWS employee

2021-02-12T13:18:21Z

First presentation not made as USFWS employee

← Older revision		Revision as of 13:18, 12 February 2021
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	* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.		* Description: Working with multiple LiDAR collection point clouds across a landscape can require reprojecting the point cloud and rebuilding a DEM for further analysis. It's fairly straightforward to create a DEM from ground points, but there will be holes for buildings and waterbodies where breaklines may not be present to assist in filling in the holes. Using the LiDAR ground point data, it's possible to quickly fill voids using GRASS GIS raster methods, and to identify areas where the technique does not work well and further work is needed.
	* Speakers: Doug Newcomb ~~(USFWS)~~, Stephen Mather (Cleveland Metroparks)		* Speakers: Doug Newcomb , Stephen Mather (Cleveland Metroparks)

	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===

⚠️Wenzeslaus: /* See also */

2021-02-11T18:46:46Z

⚠️Wenzeslaus: Add images

2021-02-11T17:02:32Z

Add images

← Older revision		Revision as of 17:02, 11 February 2021
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			[[File:Grassgis logo colorlogo text whitebg.png\|300px\|right\|none]]

	This page is about work related to GRASS GIS presented at NCGIS2021 (NC GIS 2021 Virtual Conference, North Carolina, USA), February 16-19, 2021 (https://ncgisconference.com/).		This page is about work related to GRASS GIS presented at NCGIS2021 (NC GIS 2021 Virtual Conference, North Carolina, USA), February 16-19, 2021 (https://ncgisconference.com/).

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	=== New Major Release of GRASS GIS ===		=== New Major Release of GRASS GIS ===

			[[File:Grass gis r valley bottom 3d.png\|thumb\|right\|Graphical user interface of the upcoming GRASS GIS 8.0.0 release with result of r.valley.bottom tool in 3D]]

	* Description: GRASS GIS is an all-in-one tool for geospatial analysis and remote sensing made by users for users. GRASS GIS is open source which removes the licensing hassle and cost and puts users to the center of the story. This talk will highlight the new major release of GRASS GIS. Version 8 provides a completely new first-time user experience and streamlines how users interact with their data. New features include dark-themed interface support, Voronoi-based area skeletons, gap filling, near feature attribute statistics, image collection support, customizable solar radiance model, and unlimited fine-scale hydrologic simulation. The new version contains all features from the previous versions including Python 3 scripting, spatio-temporal data analysis, PostgreSQL connections, HPC cluster support, low-end hardware support, and more. Experimental features available for download now include buffer statistics, road centerlines, vector attribute update with Python syntax, coastal, stream, and dam flooding, mass-preserving interpolation, transect generation, longest flow path, iterative subwatershed delineation, edge detection, user and producer accuracies, attribute plots, valley flatness, cost-distance area connectivity, and Sentinel, MODIS, USGS, and GBIF data download. Additionally, issues, fixes, and ongoing improvements are now publicly accessible at GitHub. This talk presents contributions by the whole GRASS GIS user and developer community and highlights additions by the Center for Geospatial Analytics at North Carolina State University.		* Description: GRASS GIS is an all-in-one tool for geospatial analysis and remote sensing made by users for users. GRASS GIS is open source which removes the licensing hassle and cost and puts users to the center of the story. This talk will highlight the new major release of GRASS GIS. Version 8 provides a completely new first-time user experience and streamlines how users interact with their data. New features include dark-themed interface support, Voronoi-based area skeletons, gap filling, near feature attribute statistics, image collection support, customizable solar radiance model, and unlimited fine-scale hydrologic simulation. The new version contains all features from the previous versions including Python 3 scripting, spatio-temporal data analysis, PostgreSQL connections, HPC cluster support, low-end hardware support, and more. Experimental features available for download now include buffer statistics, road centerlines, vector attribute update with Python syntax, coastal, stream, and dam flooding, mass-preserving interpolation, transect generation, longest flow path, iterative subwatershed delineation, edge detection, user and producer accuracies, attribute plots, valley flatness, cost-distance area connectivity, and Sentinel, MODIS, USGS, and GBIF data download. Additionally, issues, fixes, and ongoing improvements are now publicly accessible at GitHub. This talk presents contributions by the whole GRASS GIS user and developer community and highlights additions by the Center for Geospatial Analytics at North Carolina State University.
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	=== FUTURES v2: Urban Growth Modeling at Scale ===		=== FUTURES v2: Urban Growth Modeling at Scale ===

			[[File:FUTURES v2 petrasova 2021 poster.png\|thumb\|right\|FUTURES v2 new development result for USA at 30 m (poster thumbnail)]]

	* Authors: Anna Petrasova, Georgina Sanchez, Vaclav Petras, Ross K. Meentemeyer		* Authors: Anna Petrasova, Georgina Sanchez, Vaclav Petras, Ross K. Meentemeyer

⚠️Wenzeslaus: fix 2019 link

2021-02-11T16:48:24Z

fix 2019 link

← Older revision		Revision as of 16:48, 11 February 2021
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	* [[GRASS GIS at NCGIS2017]]		* [[GRASS GIS at NCGIS2017]]
	* [[~~GRASS GIS at NCGIS2021~~]]		* [[NCGIS2019]]

	[[Category: Conferences]]		[[Category: Conferences]]
	[[Category: 2021]]		[[Category: 2021]]

← Older revision		Revision as of 18:46, 11 February 2021
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	* [[GRASS GIS at NCGIS2017]]		* [[GRASS GIS at NCGIS2017]]
	* [[NCGIS2019]]		* [[NCGIS2019]]
			* [[GRASS GIS Raleigh meetups 2017]]
			* [[FOSS4G NA 2016: GRASS related workshops and presentations]] (Raleigh, NC)
			* [[Using GRASS GIS through Python and tangible interfaces (workshop at FOSS4G NA 2016)]]

	[[Category: Conferences]]		[[Category: Conferences]]
	[[Category: 2021]]		[[Category: 2021]]