Major Land Use (key crops), 2011
cg.contact | c.biradar@gmail.com | en_US |
cg.contributor.center | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.contributor.center | University of Wuerzburg | en_US |
cg.contributor.crp | CRP on Dryland Systems - DS | en_US |
cg.contributor.funder | Government of Russian Federation | en_US |
cg.contributor.project | The 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 climate | en_US |
cg.contributor.project-lead-institute | International Center for Agricultural Research in the Dry Areas - ICARDA | en_US |
cg.coverage.admin-unit | Fergana | en_US |
cg.coverage.country | UZ | en_US |
cg.coverage.end-date | 2011-12-31 | en_US |
cg.coverage.geolocation | West Longitude: 69.139488090225; South Latitude: 39.702046936743; East Longitude: 73.594083530699; North Latitude: 41.633685667568 | en_US |
cg.coverage.region | Central Asia | en_US |
cg.coverage.start-date | 2011-01-01 | en_US |
cg.creator.id | Biradar, Chandrashekhar: 0000-0002-9532-9452 | en_US |
cg.creator.id | Loew, Fabian: 0000-0002-0632-890X | en_US |
cg.date.embargo-end-date | 2018-12-30 | en_US |
cg.subject.agrovoc | land use | en_US |
cg.subject.agrovoc | land cover | en_US |
dc.contributor | Loew, Fabian | en_US |
dc.contributor | Fliemann, Elisabeth | en_US |
dc.creator | Biradar, Chandrashekhar | en_US |
dc.date.accessioned | 2017-03-06T02:55:07Z | |
dc.date.available | 2017-03-06T02:55:07Z | |
dc.description.abstract | Land 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.format | TIF | en_US |
dc.identifier | http://geoagro.icarda.org/ca/maps/map.php?id=ct2011p | en_US |
dc.identifier | https://mel.cgiar.org/reporting/downloadmelspace/hash/WsFimvy7/v/d6d90afad6e31a07aac29c317995aa25 | en_US |
dc.identifier.citation | Chandrashekhar Biradar, Fabian Loew, Elisabeth Fliemann. (31/12/2016). Major Land Use (key crops), 2011 [Spatial (raster)]. | en_US |
dc.identifier.status | Limited access | en_US |
dc.identifier.uri | https://hdl.handle.net/20.500.11766/6192 | |
dc.language | en | en_US |
dc.publisher | International Center for Agricultural Research in the Dry Areas (ICARDA) | en_US |
dc.rights | CC-BY-NC-4.0 | en_US |
dc.subject | fergana | en_US |
dc.title | Major Land Use (key crops), 2011 | en_US |
dc.type | Dataset | en_US |
dcterms.available | 2016-12-31 | en_US |
mel.project.open | https://mel.cgiar.org/projects/russianfundedprojects | en_US |
mel.sub-type | Spatial (raster) | en_US |