UNMANNED AERIAL VEHICLE (UAV) BASED REMOTE SENSING FOR CROP PATTERN MAPPING, TURKEY

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dc.authoridSENER, MEHMET/0000-0002-6736-0567
dc.authoridTEKINER, MURAT/0000-0002-4624-8496
dc.authoridALKAN, Cayan/0000-0002-4574-448X
dc.contributor.authorSener, Mehmet
dc.contributor.authorPehlivan, Mevlut
dc.contributor.authorTekiner, Murat
dc.contributor.authorAlkan, Cayan
dc.contributor.authorOzden, U. Evrim
dc.contributor.authorErdem, Tolga
dc.contributor.authorCelen, H. Huseyin
dc.date.accessioned2025-01-27T20:52:00Z
dc.date.available2025-01-27T20:52:00Z
dc.date.issued2018
dc.departmentÇanakkale Onsekiz Mart Üniversitesi
dc.description.abstractSince the introduction of our lives, Unmanned Aerial Vehicles (UAVs) have been used for a variety of purposes in a variety of professions such as agriculture, forestry, industry and mining. Their superiority, such as high resolution, frequent measurement range, and relatively low cost compared to other remote sensing technologies, increase their chances of being used in agricultural areas. The aim of this study is to determine the crop pattern of the irrigation network using a drone equipped with the imaging system and to transfer this information to the parcel information system. Crop pattern was determined by UAV imaging, was processed in layout sheet of irrigation scheme and it was determined which channels served these parcels. In this respect, tried to help for irrigation management has tried to determine what channels work in the network and how much. Thereby determining water distribution activities accordingly and trying to help protect the water resources that are already inadequate. Unmanned aerial vehicles (UAVs), imaging technology, flight times, payloads, and data transfer speeds seem to have tremendous potential in carrying out such and similar studies.
dc.description.sponsorshipGeneral Directorate of State Hydraulic Works Research-Development Projects Unit [2017-1]
dc.description.sponsorshipThis study is derived from thesis of Ugur Evrim OZDEN who is MSc student in Namik Kemal University Graduate School of Natural and Applied Sciences. Also, this research was supported by General Directorate of State Hydraulic Works Research-Development Projects Unit under the project no: 2017-1.
dc.identifier.endpage8837
dc.identifier.issn1018-4619
dc.identifier.issn1610-2304
dc.identifier.issue12A
dc.identifier.startpage8831
dc.identifier.urihttps://hdl.handle.net/20.500.12428/25621
dc.identifier.volume27
dc.identifier.wosWOS:000455562500021
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.language.isoen
dc.publisherParlar Scientific Publications (P S P)
dc.relation.ispartofFresenius Environmental Bulletin
dc.relation.publicationcategoryinfo:eu-repo/semantics/openAccess
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WoS_20250125
dc.subjectUAV
dc.subjectremote sensing
dc.subjectGIS
dc.subjectIrrigation
dc.titleUNMANNED AERIAL VEHICLE (UAV) BASED REMOTE SENSING FOR CROP PATTERN MAPPING, TURKEY
dc.typeArticle

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