Accurate geospatial cropland information is one of several critical input parameters needed for the assessment of food security and for achieving sustainable development. However, current land cover products are either not accurate enough or lacking in many food insecure countries. Here we demonstrate how we can use the Geo-Wiki crowdsourcing tool and student volunteers to generate a cropland map of Myanmar, and validate a global hybrid cropland map. The preliminary results clearly indicate that the method could be applied in a similar manner to other countries.
Autor / Author: | Albrecht, Franziska; Zussner, Mario; Perger, Christoph; Dürauer, Martina; See, Linda; McCallum, Ian; Fritz, Steffen; Kainz, Wolfgang |
Institution / Institution: | University of Vienna, Austria; University of Vienna, Austria; International Institute of Applied Systems Analysis, Laxenburg, Austria; International Institute of Applied Systems Analysis, Laxenburg, Austria; International Institute of Applied Systems Anal |
Seitenzahl / Pages: | 4 |
Sprache / Language: | Englisch |
Veröffentlichung / Publication: | GI_Forum 2014 – Geospatial Innovation for Society |
Tagung / Conference: | GI_Forum 2014 – Symposium and Exhibit GIScience & Technology / Learning with GI |
Veranstaltungsort, -datum / Venue, Date: | Salzburg, Austria 01-07-14 - 04-07-14 |
Schlüsselwörter (de): | |
Keywords (en): | VGI, cropland, crowdsourcing |
Paper review type: | Extended Abstract Review |
DOI: |
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