Major Land Use (key crops), 2011

cg.contactc.biradar@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerUniversity of Wuerzburgen_US
cg.contributor.crpCRP on Dryland Systems - DSen_US
cg.contributor.funderGovernment of Russian Federationen_US
cg.contributor.projectThe CGIAR collaborative research and capacity building project for the development of sustainable and resilient agricultural production systems in Central Asia under the conditions of changing climateen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.admin-unitFerganaen_US
cg.coverage.countryUZen_US
cg.coverage.end-date2011-12-31en_US
cg.coverage.geolocationWest Longitude: 69.139488090225; South Latitude: 39.702046936743; East Longitude: 73.594083530699; North Latitude: 41.633685667568en_US
cg.coverage.regionCentral Asiaen_US
cg.coverage.start-date2011-01-01en_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idLoew, Fabian: 0000-0002-0632-890Xen_US
cg.date.embargo-end-date2018-12-30en_US
cg.subject.agrovocland useen_US
cg.subject.agrovocland coveren_US
dc.contributorLoew, Fabianen_US
dc.contributorFliemann, Elisabethen_US
dc.creatorBiradar, Chandrashekharen_US
dc.date.accessioned2017-03-06T02:55:07Z
dc.date.available2017-03-06T02:55:07Z
dc.description.abstractLand use maps show the spatial distribution of dominant crop types (at the per-parcel level) in the major part of the Fergana Valley in 2010, 2011, 2012, and 2014. Major crop types like cotton or rice were classified as separately, whilst other minor crop classes, e.g. sorghum, maize, or melons were aggregated to the class “other”. Such data can be used as input for crop acreage estimations, crop type distribution analysis, modeling land cover and land use change, yield, water demand calculations etc. Crop classification was done by means of an object (=per-parcel) based supervised classification procedure, based on ground reference samples that were recorded in the Fergana Valley in 2010, 2011, 2012, and 2014. The Random Forest algorithm was used for the classification of one Landsat-5 TM and six RapidEye images (30 m and 6.5 m, respectively pixel size). The overall accuracy of this maps is 86%, 86%, and 85% (2010, 2011, and 2012, respectively).en_US
dc.formatTIFen_US
dc.identifierhttp://geoagro.icarda.org/ca/maps/map.php?id=ct2011pen_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/WsFimvy7/v/d6d90afad6e31a07aac29c317995aa25en_US
dc.identifier.citationChandrashekhar Biradar, Fabian Loew, Elisabeth Fliemann. (31/12/2016). Major Land Use (key crops), 2011 [Spatial (raster)].en_US
dc.identifier.statusLimited accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6192
dc.languageenen_US
dc.publisherInternational Center for Agricultural Research in the Dry Areas (ICARDA)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectferganaen_US
dc.titleMajor Land Use (key crops), 2011en_US
dc.typeDataseten_US
dcterms.available2016-12-31en_US
mel.project.openhttps://mel.cgiar.org/projects/russianfundedprojectsen_US
mel.sub-typeSpatial (raster)en_US

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