Please use this identifier to cite or link to this item:
http://hdl.handle.net/10603/561746
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Electronics and Communication Engineering | |
dc.date.accessioned | 2024-04-30T06:59:39Z | - |
dc.date.available | 2024-04-30T06:59:39Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/561746 | - |
dc.description.abstract | Available | |
dc.format.extent | 166 p. | |
dc.language | English | |
dc.relation | NA | |
dc.rights | university | |
dc.title | Development of machine learning and analytical approach for soil moisture retrieval with low and high resolution satellite data | |
dc.title.alternative | Na | |
dc.creator.researcher | Maurya, Ajay Kumar | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Remote Sensing | |
dc.description.note | NA | |
dc.contributor.guide | Singh, Dharmendra | |
dc.publisher.place | Roorkee | |
dc.publisher.university | Indian Institute of Technology Roorkee | |
dc.publisher.institution | Department of Electronics and Communication Engineering | |
dc.date.registered | 2016 | |
dc.date.completed | 2023 | |
dc.date.awarded | 2023 | |
dc.format.dimensions | NA | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Department of Electronics and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 76.19 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 369.32 kB | Adobe PDF | View/Open | |
03_abstract.pdf | 220.15 kB | Adobe PDF | View/Open | |
04_chapters 1- 7.pdf | 7.65 MB | Adobe PDF | View/Open | |
05_annexures.pdf | 278.8 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 222.06 kB | Adobe PDF | View/Open |
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