CROWDLAND

Harnessing the power of crowdsourcing to improve land cover and land-use information

Coordinatore	INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE    more Spiacenti, non ci sono informazioni su questo coordinatore. Contattare Fabio per maggiori infomrazioni, grazie.
Nazionalità Coordinatore	Austria [AT]
Totale costo	1˙397˙200 €
EC contributo	1˙397˙200 €
Programma	FP7-IDEAS-ERC Specific programme: "Ideas" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013)
Code Call	ERC-2013-CoG
Funding Scheme	ERC-CG
Anno di inizio	2014
Periodo (anno-mese-giorno)	2014-04-01   -   2019-03-31

 Partecipanti

#	participant	country	role	EC contrib. [€]
1	INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE  Organization address address: Schlossplatz 1 city: LAXENBURG postcode: 2361 contact info Titolo: Dr. Nome: Steffen Martin Cognome: Fritz Email: send email Telefono: +43 2236807353 Fax: +43 2236807599	AT (LAXENBURG)	hostInstitution	1˙397˙200.00
2	INTERNATIONALES INSTITUT FUER ANGEWANDTE SYSTEMANALYSE  Organization address address: Schlossplatz 1 city: LAXENBURG postcode: 2361 contact info Titolo: Mr. Nome: Demetrio Cognome: Soto Martinez Email: send email Telefono: 432237000000 Fax: 432237000000	AT (LAXENBURG)	hostInstitution	1˙397˙200.00

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 Obiettivo del progetto (Objective)

'Information about land cover, land use and the change over time is used for a wide range of applications such as nature protection and biodiversity, forest and water management, urban and transport planning, natural hazard prevention and mitigation, agricultural policies and monitoring climate change. Furthermore, high quality spatially explicit information on land cover change is an essential input variable to land use change modelling, which is increasingly being used to better understand the potential impact of certain policies. The amount of observed land cover change also serves as an important indicator of how well different regional, national and European policies have been implemented.

However, outside Europe and outside the developed world in particular, information on land cover and land cover change in poorer countries is hardly available and no national or regional dense sample based monitoring approaches such as LUCAS exists which deliver sufficiently accurate land cover and land cover change information. Moreover in particular in developing countries, there is no or very little information on land-use and crop management. Only very limited data available from FAO and an incomplete coverage of sub-national statistics (e.g. IFPRI) are available.

This research project will assess the potential of using crowdsourcing to close these big data gaps in developing and developed countries with a number of case studies and different data collection methods. The CrowdLand project will be carried out in two very different environments, i.e. Austria and Kenya.The overall research objectives of this project are to 1) test the potential of using social gaming to collect land use information 2) test the potential of using mobile money to collect data in developing countries 3) understand the data quality collected via crowdsourcing 4) apply advanced methods to filter crowdsourced data in order to attain improved accuracy.'