Geo-Wiki

Last updated
Geo-Wiki
Geo wiki logo.jpg
A crowdsourcing tool for environmental and socio-economic monitoring.
Type of site
Scientific
Available inEnglish
Founded2009
Country of originAustria
Created by International Institute for Applied Systems Analysis
IndustryCitizen Science
URL https://www.geo-wiki.org
CommercialNo

Geo-Wiki is a platform for engaging citizens and experts in both environmental and socioeconomic monitoring, established in 2009 at the International Institute for Applied Systems Analysis (IIASA). It aids in both, the validation of existing geographical information and the collection of new geographical information through crowdsourcing [1] [2] and citizen science. [3] Using data sources such as satellite imagery, geotagged photographs and the Internet, individual volunteers are able to contribute valuable in-situ data, either by validating existing data and comparing it with satellite imagery (through visual interpretation), or by collecting new information. Other methods for crowd-sourced data collection in Geo-Wiki include campaigns and games, used as incentives to motivate citizens. Collected data in the platform is freely available.

Contents

By 2020, Geo-Wiki had more than 15 000 registered contributors, and many successful citizen science campaigns, collecting data on topics such as global built-up surface validation, human impact on forests, [4] global agricultural field-size data [5] and more.

Land cover validation

Land cover disagreement over Africa in croplands and forests available for analysis in Geo-wiki Geowiki disagreement africa.png
Land cover disagreement over Africa in croplands and forests available for analysis in Geo-wiki

Global land cover validation exercises are feasible as images less than 2.5 meter resolution provide very detailed information on land cover with global coverage of at least 20% [6] with more high-resolution, up to date images continuously being added. Internet tools such as Google Earth offer enormous potential for land cover validation. [7] The use of Volunteer Geographic Information for land cover validation studies seems even more relevant as Google Earth has been used for the recent validation of remote sensing derived products e.g., the European forest cover map [8] as well as the latest global land cover map GlobCover. [9] Google Earth allows wider audience to be involved in a validation exercise.

Applications of Geo-Wiki go beyond simply improving land cover. An application helps to predict future deforestation in Central Africa, [10] combining five existing cropland data sets from sub-Saharan Africa to create a new map which has higher accuracy than existing maps. This should reduce uncertainty and improve predictions in land use, vegetation, climate change, and earth systems modeling. Scientists from several research institutions describe development of the map in Geophysical Research Letters, along with the application of Geo-Wiki. [11]

Gamification

The Geo-Wiki ecosystem comprises a number of applications, some of which use gamification mechanisms to attract and motivate citizen scientists and experts to participate in campaigns and make valuable contributions to science.

Related Research Articles

<span class="mw-page-title-main">Digital elevation model</span> 3D computer-generated imagery and measurements of terrain

A digital elevation model (DEM) or digital surface model (DSM) is a 3D computer graphics representation of elevation data to represent terrain or overlaying objects, commonly of a planet, moon, or asteroid. A "global DEM" refers to a discrete global grid. DEMs are used often in geographic information systems (GIS), and are the most common basis for digitally produced relief maps. A digital terrain model (DTM) represents specifically the ground surface while DEM and DSM may represent tree top canopy or building roofs.

<span class="mw-page-title-main">Remote sensing</span> Acquisition of information at a significant distance from the subject

Remote sensing is the acquisition of information about an object or phenomenon without making physical contact with the object, in contrast to in situ or on-site observation. The term is applied especially to acquiring information about Earth and other planets. Remote sensing is used in numerous fields, including geophysics, geography, land surveying and most Earth science disciplines ; it also has military, intelligence, commercial, economic, planning, and humanitarian applications, among others.

Image analysis or imagery analysis is the extraction of meaningful information from images; mainly from digital images by means of digital image processing techniques. Image analysis tasks can be as simple as reading bar coded tags or as sophisticated as identifying a person from their face.

<span class="mw-page-title-main">Landsat program</span> American network of Earth-observing satellites for international research purposes

The Landsat program is the longest-running enterprise for acquisition of satellite imagery of Earth. It is a joint NASA / USGS program. On 23 July 1972, the Earth Resources Technology Satellite was launched. This was eventually renamed to Landsat 1 in 1975. The most recent, Landsat 9, was launched on 27 September 2021.

<span class="mw-page-title-main">Geomatics</span> Geographic data discipline

Geomatics is defined in the ISO/TC 211 series of standards as the "discipline concerned with the collection, distribution, storage, analysis, processing, presentation of geographic data or geographic information". Under another definition, it consists of products, services and tools involved in the collection, integration and management of geographic (geospatial) data. Surveying engineering was the widely used name for geomatic(s) engineering in the past. Geomatics was placed by the UNESCO Encyclopedia of Life Support Systems under the branch of technical geography.

<span class="mw-page-title-main">OpenStreetMap</span> Collaborative project to create a free editable map of the world

OpenStreetMap (OSM) is a free, open geographic database updated and maintained by a community of volunteers via open collaboration. Contributors collect data from surveys, trace from aerial imagery and also import from other freely licensed geodata sources. OpenStreetMap is freely licensed under the Open Database License and as a result commonly used to make electronic maps, inform turn-by-turn navigation, assist in humanitarian aid and data visualisation. OpenStreetMap uses its own topology to store geographical features which can then be exported into other GIS file formats. The OpenStreetMap website itself is an online map, geodata search engine and editor.

<span class="mw-page-title-main">Land cover</span> Physical material covering the surface of Earth

Land cover is the physical material at the surface of Earth. Land covers include grass, asphalt, trees, bare ground, water, etc. Earth cover is the expression used by ecologist Frederick Edward Clements that has its closest modern equivalent being vegetation. The expression continues to be used by the United States Bureau of Land Management.

Geospatial metadata is a type of metadata applicable to geographic data and information. Such objects may be stored in a geographic information system (GIS) or may simply be documents, data-sets, images or other objects, services, or related items that exist in some other native environment but whose features may be appropriate to describe in a (geographic) metadata catalog.

Collaborative mapping, also known as citizen mapping, is the aggregation of Web mapping and user-generated content, from a group of individuals or entities, and can take several distinct forms. With the growth of technology for storing and sharing maps, collaborative maps have become competitors to commercial services, in the case of OpenStreetMap, or components of them, as in Google Map Maker Waze and Yandex Map Editor.

Volunteered geographic information (VGI) is the harnessing of tools to create, assemble, and disseminate geographic data provided voluntarily by individuals. VGI is a special case of the larger phenomenon known as user-generated content, and allows people to have a more active role in activities such as urban planning and mapping.

<span class="mw-page-title-main">Sentinel-2</span> Earth observation mission

Sentinel-2 is an Earth observation mission from the Copernicus Programme that systematically acquires optical imagery at high spatial resolution over land and coastal waters. The mission is currently a constellation with two satellites, Sentinel-2A and Sentinel-2B; a third satellite, Sentinel-2C, is currently undergoing testing in preparation for launch in 2024.

<span class="mw-page-title-main">Geography</span> Study of lands and inhabitants of Earth

Geography is the study of the lands, features, inhabitants, and phenomena of Earth. Geography is an all-encompassing discipline that seeks an understanding of Earth and its human and natural complexities—not merely where objects are, but also how they have changed and come to be. While geography is specific to Earth, many concepts can be applied more broadly to other celestial bodies in the field of planetary science. Geography has been called "a bridge between natural science and social science disciplines."

Bhuvan is an Indian web-based utility which allows users to explore a set of geographic content prepared by the Indian Space Research Organisation. The content which the utility serves is mostly restricted to within Indian boundaries and is offered in four regional languages. The content includes thematic maps related to disasters, agriculture, water resources, land cover, and processed satellite data generated by ISRO.

GeoSPARQL is a standard for representation and querying of geospatial linked data for the Semantic Web from the Open Geospatial Consortium (OGC). The definition of a small ontology based on well-understood OGC standards is intended to provide a standardized exchange basis for geospatial RDF data which can support both qualitative and quantitative spatial reasoning and querying with the SPARQL database query language.

<span class="mw-page-title-main">Head/tail breaks</span> Algorithm

Head/tail breaks is a clustering algorithm for data with a heavy-tailed distribution such as power laws and lognormal distributions. The heavy-tailed distribution can be simply referred to the scaling pattern of far more small things than large ones, or alternatively numerous smallest, a very few largest, and some in between the smallest and largest. The classification is done through dividing things into large and small things around the arithmetic mean or average, and then recursively going on for the division process for the large things or the head until the notion of far more small things than large ones is no longer valid, or with more or less similar things left only. Head/tail breaks is not just for classification, but also for visualization of big data by keeping the head, since the head is self-similar to the whole. Head/tail breaks can be applied not only to vector data such as points, lines and polygons, but also to raster data like digital elevation model (DEM).

Land cover maps are tools that provide vital information about the Earth's land use and cover patterns. They aid policy development, urban planning, and forest and agricultural monitoring.

The World Urban Database and Access Portal Tools (WUDAPT) is a global initiative of tools to create local climate zone maps for a given city using a standard methodology. It has both a database and a portal. The database has hierarchical layers of increasing detail, with data acquired via crowdsourcing methods such as Geo-Wiki.

<span class="mw-page-title-main">Qihao Weng</span> Chinese-American scientist (born 1964)

Qihao Weng is an American geographer, urban, environmental sustainability, and remote sensing scientist. He has been a Chair Professor at the Hong Kong Polytechnic University since July 2021, and was the Director of the Center for Urban and Environmental Change and is a professor of geography in the Department of Earth and Environmental Systems at the Indiana State University.

Muki Haklay FAcSS is Professor of Geographical Information Science at the Department of Geography in University College London (UCL).

<span class="mw-page-title-main">Wiki survey</span> Survey method for crowdsourcing opinions

Wiki surveys or wikisurveys are a software-based survey method with similarity to how wikis evolve through crowdsourcing. In essence, they are surveys that allow participants to create the questions that are being asked. As participants engage in the survey they can either vote on a survey question or create a survey question. A single open-ended prompt written by the creator of the survey determines the topic the questions should be on. The first known implementation of a wiki survey was in 2010, and they have been used since then for a variety of purposes such as facilitating deliberative democracy, crowdsourcing opinions from experts and figuring out common beliefs on a given topic. A notable usage of wiki surveys is in Taiwan's government system, where citizens can participate in crowdsourced lawmaking through Polis wiki surveys.

References

  1. Fritz, Steffen; McCallum, Ian; Schill, Christian; Perger, Christoph; Grillmayer, Roland; Achard, Frédéric; Kraxner, Florian; Obersteiner, Michael (2009). "Geo-Wiki.Org: The Use of Crowdsourcing to Improve Global Land Cover" (PDF). Remote Sensing. 1 (3): 345–354. Bibcode:2009RemS....1..345F. doi: 10.3390/rs1030345 .
  2. See, Linda; Mooney, Peter; Foody, Giles; Bastin, Lucy; Comber, Alexis; Estima, Jacinto; Fritz, Steffen; Kerle, Norman; Jiang, Bin; Laakso, Mari; Liu, Hai-Ying; Milčinski, Grega; Nikšič, Matej; Painho, Marco; Pődör, Andrea; Olteanu-Raimond, Ana-Maria; Rutzinger, Martin (2016). "Crowdsourcing, Citizen Science or Volunteered Geographic Information? The Current State of Crowdsourced Geographic Information". ISPRS International Journal of Geo-Information. 5 (5): 55. arXiv: 1511.03010 . Bibcode:2016IJGI....5...55S. doi: 10.3390/ijgi5050055 .
  3. Vohland, Katrin; Land-zandstra, Anne; Ceccaroni, Luigi; Lemmens, Rob; Perelló, Josep; Ponti, Marisa; Samson, Roeland; Wagenknecht, Katherin, eds. (2021). The Science of Citizen Science. Springer International Publishing. doi: 10.1007/978-3-030-58278-4 . ISBN   978-3-030-58277-7.
  4. "New Citizen Science Campaign on Human Impact on Forests - 2019 - IIASA". iiasa.ac.at. Retrieved 2020-11-05.
  5. "Crowdsourced field data shows importance of smallholder farms to global food production - 2018 - IIASA". iiasa.ac.at. Retrieved 2020-11-05.
  6. Potere, David (2008). "Horizontal Positional Accuracy of Google Earth's High-Resolution Imagery Archive". Sensors. 8 (12): 7973–7981. Bibcode:2008Senso...8.7973P. doi: 10.3390/s8127973 . PMC   3791001 . PMID   27873970.
  7. Butler, Declan (2006). "The web-wide world". Nature. 439 (7078): 776–778. doi: 10.1038/439776a . PMID   16482123. S2CID   4406719.
  8. Pekkarinen, Anssi; Reithmaier, Lucia; Strobl, Peter (2009). "Pan-European forest/Non-forest mapping with Landsat ETM+ and CORINE Land Cover 2000 data". ISPRS Journal of Photogrammetry and Remote Sensing. 64 (2): 171–183. Bibcode:2009JPRS...64..171P. doi:10.1016/j.isprsjprs.2008.09.004.
  9. Defourny, P.P.; Schouten, L.; Bartalev, S.; Bontemps, S.P.; Caccetta, P. et al., Accuracy Assessment of a 300 m Global Land Cover Map: The GlobCover Experience, January 2009, via www.researchgate.net, abstract accessed 27 October 2023
  10. Nayar, Anjali (2009). "Model predicts future deforestation". Nature. doi:10.1038/news.2009.1100.
  11. Fritz, Steffen; You, Liangzhi; Bun, Andriy; See, Linda; McCallum, Ian; Schill, Christian; Perger, Christoph; Liu, Junguo; Hansen, Matt; Obersteiner, Michael (2011). "Cropland for sub-Saharan Africa: A synergistic approach using five land cover data sets". Geophysical Research Letters. 38 (4): n/a. Bibcode:2011GeoRL..38.4404F. doi: 10.1029/2010GL046213 .