Fiche du document
20 juin 2013
- handle: 10670/1.xiil9z
- GOid: 0xc1aa5576_0x002e6e53
Ce document est lié à :
info:eu-repo/grantAgreement/EC/FP7/263479
info:eu-repo/semantics/openAccess
Mots-clés
912,GeographySujets proches
Land Land utilization Utilization of land Use of landCiter ce document
Christoph Perger et al., « Improved Cropland Mapping in Ethiopia. GI_Forum 2013 – Creating the GISociety| », Elektronisches Publikationsportal der Österreichischen Akademie der Wissenschafte, ID : 10670/1.xiil9z
Métriques
Partage / Export
Résumé
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%.