Remote sensing based assessment of the dynamics of crop productivity and spatial production pattern across the Fergana Valley, Central Asia

cg.contactc.biradar@gmail.comen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.crpCGIAR Research Program 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.countryUZen_US
cg.coverage.regionCentral Asiaen_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idLoew, Fabian: 0000-0002-0632-890Xen_US
cg.subject.agrovoccrop productionen_US
cg.subject.agrovocirrigationen_US
cg.subject.agrovocland degradationen_US
cg.subject.agrovocwater managementen_US
dc.contributorLoew, Fabianen_US
dc.creatorBiradar, Chandrashekharen_US
dc.date.accessioned2017-02-23T13:25:31Z
dc.date.available2017-02-23T13:25:31Z
dc.description.abstractAgricultural production systems are a vital lifeline of the rural farming community in Central Asia. However, shrinking natural resource base, increased land degradation and severe irrigation water scarcity render current crop production practices not sustainable as these perform below their potential. Though there is considerable scope for improving productivity through bridging the yield gaps and introducing sustainable land management practices. However crop productivity and production pattern varies across scales, mostly driven by irrigation water availability, markets, and agronomic/cultural practices. Climate change could put additional pressure on production systems in the future by decreasing the major source of irrigation water, namely glaciers. Therefore, there is an urgent need to develop spatial decision systems which provides accurate and timely information on agricultural production that would facilitate the development of target specific and appropriate climate resilient intervention packages.en_US
dc.formatPDFen_US
dc.identifierhttp://www.fao.org/europe/events/detail-events/en/c/410970/en_US
dc.identifierhttps://mel.cgiar.org/reporting/downloadmelspace/hash/XrITUgAD/v/daa62a1f6d9c83655199744dd2b4c719en_US
dc.identifier.citationChandrashekhar Biradar, Fabian Loew. (14/7/2016). Remote sensing based assessment of the dynamics of crop productivity and spatial production pattern across the Fergana Valley, Central Asia. Rome, Italy.en_US
dc.identifier.statusOpen accessen_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/5917
dc.languageenen_US
dc.publisherFood and Agriculture Organization of the United Nations (FAO)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjectrural farmingen_US
dc.titleRemote sensing based assessment of the dynamics of crop productivity and spatial production pattern across the Fergana Valley, Central Asiaen_US
dc.typeConference Paperen_US
dcterms.available2016-07-14en_US
dcterms.issued2016-07-14en_US
mel.project.openhttps://mel.cgiar.org/projects/russianfundedprojectsen_US

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