OpenGeoHub Foundation: Connect | Create | Share | Repeat

Open Data Science Europe Workshop
2021-09-06 09:00 - 17:00 UTC | Wageningen International Conference Center, Wageningen International Conference Center, Wageningen, Netherlands
The Open Data Science Europe Workshop will be held at the Wageningen International Conference Center (WICC).

Abstract submission deadline: 1st of May 2021
Registration deadline: 1st of July 2021

This event is sponsored by the OpenGeoHub foundation: no participation fees will be charged. Participants are, however, expected to finance their own travel and accommodation expenses. Majority of lectures will be broadcasted live using Zoom and Youtube channels. To submit an abstract and/or register please visit: https://opendatascience.eu

Summer School 2021
2021-09-01 08:00 - 2021-09-03 17:00 | Virtual
The 2021 event took place from 1st to 3rd of September virtually, with all training sessions being broadcasted live on Zoom, giving everyone the opportunity to attend and network from anywhere on the globe!
The Summer School 2021 featured:

Live presentations and demos by leading R and OSGeo developers;
2 days of training sessions and R / OSGeo tutorials;
1 day of R-Spatial workshops;
Discussion panels and break-out rooms;

GEOSTAT Summer School 2018
2021-08-19 08:00 - 2021-08-25 17:00 | Zámek 1, 252 43 Průhonice, Czechia, Zámek 1, 252 43 Průhonice, Czechia, Czech Republic
The IBOT, Prague 2018 Summer School (Sunday, August 19, 2018 to Saturday, August 25, 2018) is the 13th in a series of summer schools organized by R and Open Source (OS) GIS developers and enthusiasts. Summer school theme: spatial and spatio-temporal data analysis with R and OS GIS.

OGH Summer School Wageningen 2020
2020-08-17 08:00 - 2020-08-21 17:00 | Wageningen International Conference Center, Wageningen International Conference Center, Wageningen, Netherlands
The OpenGeoHub 2020 Summer School aims at bringing together the leading FOSS4G and R spatial developers (i.e. actual people involved in developing, documenting and maintaining packages). Lecturers run tutorials and introduction/motivation speeches which will be partially video-recorded. The topics of the summer school are:

New R packages and functionality, new FOSS4G software and standards,
Geocomputing using R and Open Source GIS GDAL, GRASS GIS, SAGA GIS, QGIS,
Processing large raster data sets using R,
Combining computing using R and Python,
Using FOSS4G software for predictive soil, vegetation and environmental mapping,

The special theme of the Summer School 2020 is:
“Developing Machine Learning Algorithms for spatial and spatiotemporal data science problems”

The climate-crisis and the future of our planet: a fact-checking session
2020-02-25 08:00 - 17:00 | Speakers Corner, IMPULSE, Stippeneng 2, Wageningen, Netherlands
Prepared by: Tom Hengl (OpenGeoHub) and Ichsani Wheeler (OpenGeoHub)
Venue: Speakers Corner, IMPULSE (how to get to IMPULSE)
Time: 15:30 uur tot 18:30 uur
Target groups: researchers, start-ups, global data providers
Invitations: ESG mailing list, MSc / PhD level students
Rationale
From the extensive fires in Australia to the melting of glaciers and Antarctica’s ice, it appears that global warming is happening even faster than we may have anticipated2. Could it get even worse and can we save the planet by buying an electric car, installing solar panels around our house and/or going vegan? Is Greta Thunberg perhaps too radical or should we become even more radical? There seems to be plenty of evidence for serious concern about the speed of crisis: after all the COPs, with everything having been said and done, we are still emitting more and more CO2 globally.1,5 Could planting 1 trillion trees potentially save us from global warming? How important is the role of agriculture in mitigation of climate change (and has it been exaggerated?).7,11 What are the best strategies for independent actions (human species) and can these be implemented without international agreements? Is the nature of the current world economy (natural resource exploitation-based for-profit liberal capitalism) basically a prolonged self-destruction?8,9
Ripple et al. (2019) recently published an overview of the main known trends of global ecosystem degradation and related climate-crisis. By reviewing the plots in Ripple et al. (2019) one could conclude that any business-as-usual world economy will certainly bring us to the brink of extinction. Although it seems that we potentially have all the technology and knowledge to transition to a “better”, greener economy, it could very well be that it will eventually require that we entirely give up on GDP growth decades (Meadows & Randers 2012). Or is there a smooth transition + adaptation path where we do not have to immediately stop flying, driving, farming animals, using plastic? In the end, we need an economy to prepare for the adaptation.3 Are there faster and more efficient solutions to address global warming and too much CO2 in the atmosphere? And how can we establish an objective system that tracks and reports on the status of the environment without too much controversy?4,6
The presenters will challenge participants to do some fact-checking to see how environmental- / climate-crisis-aware they are. Presentations will take cca 30 minutes after which the floor will be open for questions and discussion.
Discussion points:

How accurate is your knowledge of the environmental-/climate-crisis and global warming?

Is Australia soon going to all burn up?

What are the currently known, best-bet solutions and strategies for mitigating global warming and similar environmental degradation problems?

Would planting 1 trillion trees by itself solve the global warming problem?

How can we all contribute (locally, regionally, globally) to preventing massive extinction of species in the future (including humans!)?

Programme:

15:30–16:00: (I. Wheeler) Fact-checking: how good is your knowledge of environmental-/climate-crisis? (30 min),

16:00–16:30: (L. Leal Parente) Deforestation and forest fires in Brazil (30 min)

16:30–17:00: (T. Hengl) Earth without people: mapping potential natural vegetation using Machine Learning and global point data sets (30 min)

17:00–17:30: Fact-checking results and discussion panel

17:30–18:00: OpenGeoHub.org borrel

References:

BBC News (2019). Stop abusing land, scientists warn.

BBC News (2020). Sir David Attenborough warns of climate ‘crisis moment’.

Clark, R (2020). David Attenborough is making the same mistake as Greta Thunberg. The Spectator.

Espey, J. (2019). Sustainable development will falter without data. Nature, 571, 299-299.

EuroNews (2019). EU still among top 3 world CO2 emitters, new data shows.

Kulmala, M. (2018). Build a global Earth observatory. Nature 553, 21-23.

Malhotra, A., Todd-Brown, K., Nave, L. E., Batjes, N. H., Holmquist, J. R., Hoyt, A. M., … & Vindušková, O. (2019). The landscape of soil carbon data: emerging questions, synergies and databases. Progress in Physical Geography: Earth and Environment, 43(5), 707-719.

Meadows, D., & Randers, J. (2012). The limits to growth: the 30-year update. Routledge.

Perry P. (2019). Easter Island Shows Why Humanity Will Be Extinct Within 100 Years. BigThink.com

Ripple, W. J., Wolf, C., Newsome, T. M., Barnard, P., & Moomaw, W. R. (2019). World scientists’ warning of a climate emergency. BioScience.

Rogers, A. (2019). Trying to Plant a Trillion Trees Won’t Solve Anything. Wired.

Summer School 2019
2019-09-01 08:00 - 2019-09-07 17:00 | Institute for Geoinformatics, Heisenbergstraße 2, 48149 Münster, Heisenbergstraße 2, Münster, Germany
The 2019 Summer School focussed on ‘Spatial and spatiotemporal computing: processing large-scale Earth observation data’, and was held at the University of Münster.

International Summer School on Geospatial Data Science with R
2019-08-25 08:00 - 2019-09-01 17:00 | Institute of Geography, Loebdergraben 32, 07743 Jena, Loebdergraben 32, Jena, Germany
This “International Summer School on Geospatial Data Science with R” will be held in Jena in the period 25 August to 1 September 2019. For more info see: https://jupiter.geogr.uni-jena.de/summerschool/about/
Organizer: Spatial Data and Visualization, GIScience group,
Department of Geography, Friedrich-Schiller-University Jena

UseR 2019 Toulouse - France
2019-07-09 08:00 - 2019-07-12 17:00 | Congress centre “Pierre Baudis”, Congress centre "Pierre Baudis", Toulouse, France
The useR! 2019 will happen in Toulouse – France in the period July 9-12, 2019. Some important dates:

Opening of submission (both tutorials, abstracts and scholarship application): December 17
Closing of tutorial submissions: January 18
Opening of registration: January 21
Tutorial selection: February 15
Closing of abstract submissions and diversity scholarship application: March 1

We are again expecting many exciting session on geographical data processing and visualization (based on the R-spatial and R-sig-geo).
For more info refer to: http://www.user2019.fr/dates/

International Summer School 2019 – Matera, Italy
2019-06-03 08:00 - 17:00 | Università degli Studi della Basilicata, Via del Castello, 75100 Matera, Italy, Via del Castello, 75100, Matera, Italy
One week training course in Geocomputation Using Free & Open Source Software will be held this year in Matera, Italy. To register for this course please follow this link: http://spatial-ecology.net/
Trainers:

Giuseppe Amatulli,Ph.D. (Yale University, USA, Spatial ecology).
Longzhu Shen, Ph.D. (University of Cambridge, UK).
Francesco Lovergine, Ph.D. (CNR Bari, Italy).

Mapping the world's land status and land potential — new data products and services 2018/2019
2018-09-19 15:30 - 18:30 | Speakers Corner, IMPULSE, Stippeneng 2, Wageningen, Netherlands
Public seminar and discussion panel
Prepared by: Tom Hengl (Envirometrix BV) and Martin Herold (WUR)
Venue: Speakers Corner, IMPULSE (how to get to IMPULSE)
Time: 15:30–18:30
Target groups: researchers, start-ups, global data users…
Rationale:
The technology and science supporting environmental and agricultural monitoring have expanded rapidly over the last 5–10 years (Herold et al. 2016; Ouma 2016; Erb et al. 2017). These trends reflect the exponential growth of internet technology, Remote Sensing missions, LiDAR, soil spectroscopy, mobile technology and automated sensor systems. In 2013 ESA (European Space Agency) initiated Sentinel RS missions which now deliver Terabytes of real-time data on land cover dynamics, soil moisture and surface water dynamics. The German Aerospace Center (DLR) TANDEM-x project is planning a release of global land surface model (including global map of forest canopy heights) at 100 m resolution and at unprecedented vertical accuracy (Martone et al. 2018). EU CAP in 2018 is now really starting to focus on Copernicus (Land) with planned performance-based CAP payments of $19bn. If we add to this list NASA’s and JAXA’s land survey missions (e.g. Shimada et al. 2014; Yamazaki et al. 2017), it is easy to conclude that access to management-ready land data, even at the farm level, should no longer represent a limitation. All the mentioned systems are increasingly open i.e. distributing data without limitation, which if especially important for all nature conservation and land restoration projects (Turner et al. 2014; Gibbs & Salmon, 2015). It is increasingly easy to download terabytes of free remote sensing data from the web. This however implies that we will have to change our ways of data storage, management and analysis.
The presenters will describe some new data products and services that are primarily based on the latest Copernicus Land programme, JAXA’s ALOS radar and topographic missions and similar open data projects. Presentations will include live demos of the functionality and instructions on how to access new data and services. Each presentation will take 20 minutes + 10 minutes for questions. After the presentations 30 minutes are reserved for a discussion panel.
Discussion points:

what are the new exciting global data projects in 2018/2019?
what are the new areas/applications that could result from these data?
what have we learned from previous global data releases?
how can we prepare for the big new data workflows and how can we help make these data decision-ready and application-oriented?

Programme:
https://docs.google.com/presentation/d/1t-RXpf1hhA0600hR5kZNtf2DDIbQVV9hO7Emlg4ZmMc/edit?usp=sharing
(Working programme under construction)

15:30–15:40: (T. Hengl) Introduction and overview,
15:40–16:10: (M. Herold) Global Land Monitoring and Mapping at high resolution (20 min + 10 min discussion),
16:10–16:40: (T. Collins) Technological disruptions and challenges for land restoration (20 min + 10 min discussion),
16:40–17:10: (T. Hengl) Mapping Potential Natural Vegetation using machine learning and legacy scientific data / GBIF records (20 min + 10 min discussion),
17:10–17:20: (B. MacMillan): OpenGeoHub.org virtual school on spatial analysis launch
17:20–17:45: Discussion panel
17:45–18:00: OpenGeoHub.org borrel (official launch!)
18:00–21:00: OpenGeoHub dinner (Creative Garden Wageningen)

References:

Copernicus Programme https://land.copernicus.eu/

Erb, K. H., Luyssaert, S., Meyfroidt, P., Pongratz, J., Don, A., Kloster, S., … & Haberl, H. (2017). Land management: data availability and process understanding for global change studies. Global change biology, 23(2), 512-533. https://doi.org/10.1111/gcb.13443

Gibbs, H. K., & Salmon, J. M. (2015). Mapping the world’s degraded lands. Applied geography, 57, 12-21. https://doi.org/10.1016/j.apgeog.2014.11.024

Hengl T, Walsh MG, Sanderman J, Wheeler I, Harrison SP, Prentice IC. (2018) Global mapping of potential natural vegetation: an assessment of machine learning algorithms for estimating land potential. PeerJ 6:e5457 https://doi.org/10.7717/peerj.5457

Herold, M., See, L., Tsendbazar, N., & Fritz, S. (2016). Towards an Integrated Global Land Cover Monitoring and Mapping System. Remote Sensing, 8(12). http://dx.doi.org/10.3390/rs8121036

Martone, M., Rizzoli, P., Wecklich, C., González, C., Bueso-Bello, J. L., Valdo, P., … & Moreira, A. (2018). The global forest/non-forest map from TanDEM-X interferometric SAR data. Remote Sensing of Environment, 205, 352-373. https://doi.org/10.1016/j.rse.2017.12.002

Ouma, Y. O. (2016). Advancements in medium and high resolution Earth observation for land-surface imaging: Evolutions, future trends and contributions to sustainable development. Advances in Space Research, 57(1), 110-126. https://doi.org/10.1016/j.asr.2015.10.038

Shimada, M., Itoh, T., Motooka, T., Watanabe, M., Shiraishi, T., Thapa, R., & Lucas, R. (2014). New global forest/non-forest maps from ALOS PALSAR data (2007–2010). Remote Sensing of Environment, 155, 13-31. https://doi.org/10.1016/j.rse.2014.04.014

The Global Land Outlook (GLO): http://www.unccd.int/glo

Turner, W., Rondinini, C., Pettorelli, N., Mora, B., Leidner, A. K., Szantoi, Z., … & Koh, L. P. (2015). Free and open-access satellite data are key to biodiversity conservation. Biological Conservation, 182, 173-176. https://doi.org/10.1016/j.biocon.2014.11.048

Yamazaki, D., Ikeshima, D., Tawatari, R., Yamaguchi, T., O’Loughlin, F., Neal, J. C., … & Bates, P. D. (2017). A high accuracy map of global terrain elevations. Geophysical Research Letters. https://doi.org/10.1002/2017GL072874
