1. Shodhganga@INFLIBNET
  2. Indian Institute of Technology Roorkee
  3. Department of Electronics and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/561746
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DC FieldValueLanguage
dc.coverage.spatialElectronics and Communication Engineering
dc.date.accessioned2024-04-30T06:59:39Z-
dc.date.available2024-04-30T06:59:39Z-
dc.identifier.urihttp://hdl.handle.net/10603/561746-
dc.description.abstractAvailable
dc.format.extent166 p.
dc.languageEnglish
dc.relationNA
dc.rightsuniversity
dc.titleDevelopment of machine learning and analytical approach for soil moisture retrieval with low and high resolution satellite data
dc.title.alternativeNa
dc.creator.researcherMaurya, Ajay Kumar
dc.subject.keywordComputer Science
dc.subject.keywordEngineering and Technology
dc.subject.keywordRemote Sensing
dc.description.noteNA
dc.contributor.guideSingh, Dharmendra
dc.publisher.placeRoorkee
dc.publisher.universityIndian Institute of Technology Roorkee
dc.publisher.institutionDepartment of Electronics and Communication Engineering
dc.date.registered2016
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensionsNA
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Electronics and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File76.19 kBAdobe PDFView/Open
02_prelim pages.pdf369.32 kBAdobe PDFView/Open
03_abstract.pdf220.15 kBAdobe PDFView/Open
04_chapters 1- 7.pdf7.65 MBAdobe PDFView/Open
05_annexures.pdf278.8 kBAdobe PDFView/Open
80_recommendation.pdf222.06 kBAdobe PDFView/Open
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