Show simple item record

dc.contributorBiradar, Chandrashekharen_US
dc.contributorSingh, Murarien_US
dc.contributorWU, Bingfangen_US
dc.creatorPatil, Prashanten_US
dc.date.accessioned2017-03-07T01:12:44Z
dc.date.available2017-03-07T01:12:44Z
dc.identifierhttps://mel.cgiar.org/reporting/download/hash/HrxFCpVFen_US
dc.identifier.citationPrashant Patil, Chandrashekhar Biradar, Murari Singh, Bingfang WU. (8/7/2016). Decision tree classification for crop type mapping using Landsat 8 optical satellite imagery. Amman, Jordan: International Center for Agricultural Research in the Dry Areas (ICARDA).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/6304
dc.description.abstractPresentation of Decision tree classification for crop type mapping using Landsat 8 optical satellite imageryen_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherInternational Center for Agricultural Research in the Dry Areas (ICARDA)en_US
dc.rightsCC-BY-NC-4.0en_US
dc.subjecttreeen_US
dc.titleDecision tree classification for crop type mapping using Landsat 8 optical satellite imageryen_US
dc.typePresentationen_US
dcterms.available2016-07-08en_US
cg.creator.idBiradar, Chandrashekhar: 0000-0002-9532-9452en_US
cg.creator.idSingh, Murari: 0000-0001-5450-0949en_US
cg.subject.agrovocagricultureen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerChinese Academy of Sciences - CASen_US
cg.contributor.crpCGIAR Research Program on Dryland Systems - DSen_US
cg.contributor.funderNot Applicableen_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.coverage.regionCentral Asiaen_US
cg.coverage.countryUZen_US
cg.contactpatil370.iirs@gmail.comen_US
dc.identifier.statusOpen accessen_US


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record


DSpace software copyright © 2002-2016  DuraSpace
Disclaimer:
MELSpace content providers and partners accept no liability to any consequence resulting from use of the content or data made available in this repository. Users of this content assume full responsibility for compliance with all relevant national or international regulations and legislation.
Theme by 
Atmire NV