Improved cropland mapping in Ethiopia

Perger, C., McCallum, I. ORCID: https://orcid.org/0000-0002-5812-9988, Albrecht, F., See, L. ORCID: https://orcid.org/0000-0002-2665-7065, Fritz, S. ORCID: https://orcid.org/0000-0003-0420-8549, & Thau, D. (2013). Improved cropland mapping in Ethiopia. DOI:10.1553/giscience2013s96. In: GI_Forum 2013 - Creating the GISociety. Conference Proceedings.

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Abstract

Across the globe, accurate national spatial datasets on cropland extent are lacking. These are necessary for a number of reasons, including accurately monitoring and predicting crop yield, land use, land acquisitions and food security. This study describes the use of crowdsourcing information retrieved over Ethiopia depicting the extent of cropland area. This information has been used to train a classification algorithm in Google Earth Engine to produce a continuous cropland extent map of Ethiopia. Preliminary results of this novel approach are encouraging, with an overall validity of 96%.

Item Type:	Conference or Workshop Item (UNSPECIFIED)
Research Programs:	Ecosystems Services and Management (ESM)
Bibliographic Reference:	In: T Jekel, A Car, J Strobel, G Griesebner (Eds); GI_Forum 2013 - Creating the GISociety. Conference Proceedings; Geoinformatics Forum, 2-5 July 2013, Salzburg, Austria pp.96-99
Depositing User:	IIASA Import
Date Deposited:	15 Jan 2016 08:49
Last Modified:	19 Oct 2022 05:00
URI:	https://pure.iiasa.ac.at/10679

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