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X-WR-CALDESC:Events for OpenGeoHub Foundation: Connect | Create | Share | Repeat
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BEGIN:VEVENT
DTSTART;TZID=UTC:20200225T080000
DTEND;TZID=UTC:20200225T170000
DTSTAMP:20260412T151536
CREATED:20211215T103040Z
LAST-MODIFIED:20211215T103115Z
UID:150247-1582617600-1582650000@opengeohub.org
SUMMARY:The climate-crisis and the future of our planet: a fact-checking session
DESCRIPTION:Prepared by: Tom Hengl (OpenGeoHub) and Ichsani Wheeler (OpenGeoHub)\nVenue: Speakers Corner\, IMPULSE (how to get to IMPULSE)\nTime: 15:30 uur tot 18:30 uur\nTarget groups: researchers\, start-ups\, global data providers\nInvitations: ESG mailing list\, MSc / PhD level students \nRationale\nFrom 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 \nRipple 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 \nThe 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. \nDiscussion points: \n\n\nHow accurate is your knowledge of the environmental-/climate-crisis and global warming? \n\n\nIs Australia soon going to all burn up? \n\n\nWhat are the currently known\, best-bet solutions and strategies for mitigating global warming and similar environmental degradation problems? \n\n\nWould planting 1 trillion trees by itself solve the global warming problem? \n\n\nHow can we all contribute (locally\, regionally\, globally) to preventing massive extinction of species in the future (including humans!)? \n\n\n\nProgramme:\n\n\n15:30–16:00: (I. Wheeler) Fact-checking: how good is your knowledge of environmental-/climate-crisis? (30 min)\, \n\n\n16:00–16:30: (L. Leal Parente) Deforestation and forest fires in Brazil (30 min) \n\n\n16:30–17:00: (T. Hengl) Earth without people: mapping potential natural vegetation using Machine Learning and global point data sets (30 min) \n\n\n17:00–17:30: Fact-checking results and discussion panel \n\n\n17:30–18:00: OpenGeoHub.org borrel \n\n\n\nReferences:\n\n\nBBC News (2019). Stop abusing land\, scientists warn. \n\n\nBBC News (2020). Sir David Attenborough warns of climate ‘crisis moment’. \n\n\nClark\, R (2020). David Attenborough is making the same mistake as Greta Thunberg. The Spectator. \n\n\nEspey\, J. (2019). Sustainable development will falter without data. Nature\, 571\, 299-299. \n\n\nEuroNews (2019). EU still among top 3 world CO2 emitters\, new data shows. \n\n\nKulmala\, M. (2018). Build a global Earth observatory. Nature 553\, 21-23. \n\n\nMalhotra\, 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. \n\n\nMeadows\, D.\, & Randers\, J. (2012). The limits to growth: the 30-year update. Routledge. \n\n\nPerry P. (2019). Easter Island Shows Why Humanity Will Be Extinct Within 100 Years. BigThink.com \n\n\nRipple\, W. J.\, Wolf\, C.\, Newsome\, T. M.\, Barnard\, P.\, & Moomaw\, W. R. (2019). World scientists’ warning of a climate emergency. BioScience. \n\n\nRogers\, A. (2019). Trying to Plant a Trillion Trees Won’t Solve Anything. Wired.
URL:https://opengeohub.org/event/public-seminar-25-february-2020/
LOCATION:Speakers Corner\, IMPULSE\, Stippeneng 2\, Wageningen\, Netherlands
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=UTC:20180919T153000
DTEND;TZID=UTC:20180919T183000
DTSTAMP:20260412T151536
CREATED:20211215T120748Z
LAST-MODIFIED:20211215T120805Z
UID:150329-1537371000-1537381800@opengeohub.org
SUMMARY:Mapping the world's land status and land potential — new data products and services 2018/2019
DESCRIPTION:Public seminar and discussion panel \nPrepared by: Tom Hengl (Envirometrix BV) and Martin Herold (WUR)\nVenue: Speakers Corner\, IMPULSE (how to get to IMPULSE)\nTime: 15:30–18:30\nTarget groups: researchers\, start-ups\, global data users… \nRationale:\nThe 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. \nThe 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. \nDiscussion points: \n\nwhat are the new exciting global data projects in 2018/2019?\nwhat are the new areas/applications that could result from these data?\nwhat have we learned from previous global data releases?\nhow can we prepare for the big new data workflows and how can we help make these data decision-ready and application-oriented?\n\nProgramme:\nhttps://docs.google.com/presentation/d/1t-RXpf1hhA0600hR5kZNtf2DDIbQVV9hO7Emlg4ZmMc/edit?usp=sharing \n(Working programme under construction) \n\n15:30–15:40: (T. Hengl) Introduction and overview\,\n15:40–16:10: (M. Herold) Global Land Monitoring and Mapping at high resolution (20 min + 10 min discussion)\,\n16:10–16:40: (T. Collins) Technological disruptions and challenges for land restoration (20 min + 10 min discussion)\,\n16:40–17:10: (T. Hengl) Mapping Potential Natural Vegetation using machine learning and legacy scientific data / GBIF records (20 min + 10 min discussion)\,\n17:10–17:20: (B. MacMillan): OpenGeoHub.org virtual school on spatial analysis launch\n17:20–17:45: Discussion panel\n17:45–18:00: OpenGeoHub.org borrel (official launch!)\n18:00–21:00: OpenGeoHub dinner (Creative Garden Wageningen)\n\nReferences:\n\n\nCopernicus Programme https://land.copernicus.eu/ \n\n\nErb\, 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 \n\n\nGibbs\, 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 \n\n\nHengl 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 \n\n\nHerold\, 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 \n\n\nMartone\, 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 \n\n\nOuma\, 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 \n\n\nShimada\, 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 \n\n\nThe Global Land Outlook (GLO): http://www.unccd.int/glo \n\n\nTurner\, 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 \n\n\nYamazaki\, 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
URL:https://opengeohub.org/event/public-seminar-19-september/
LOCATION:Speakers Corner\, IMPULSE\, Stippeneng 2\, Wageningen\, Netherlands
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