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Soil moisture estimation over the Great Plains with dual polarization 1.66 centimeter passive microwave data from Nimbus 7
dc.contributor.advisor | Huebner, George L., Jr. | |
dc.contributor.advisor | McFarland, Marshall J. | |
dc.creator | Harder, Paul Henry | |
dc.date.accessioned | 2020-08-21T21:53:51Z | |
dc.date.available | 2020-08-21T21:53:51Z | |
dc.date.issued | 1984 | |
dc.identifier.uri | https://hdl.handle.net/1969.1/DISSERTATIONS-575454 | |
dc.description | Typescript (photocopy). | en |
dc.description.abstract | Moisture content of snow-free, unfrozen soil is inferred using passive microwave brightness temperatures from the Scanning Multichannel Microwave Radiometer (SMMR) on Nimbus-7. Investigation is restricted to the two polarizations of the 1.66 cm wavelength sensor. Passive microwave estimates of soil moisture are of two basic categories; those based upon soil emissivity and those based upon the polarization of soil emission. The two methods are compared and contrasted through the investigation of 54 potential functions of polarized brightness temperatures and, in some cases, ground-based temperature measurements. Of these indices, three are selected for the estimated emissivity, the difference between polarized brightness temperatures, and the normalized polarization difference. Each of these indices is about equally effective for monitoring soil moisture. Using an antecedent precipitation index (API) as ground central data, temporal and spatial analyses show that emissivity data consistently give slightly better soil moisture estimates than depolarization data. The difference, however, is not statistically significant. It is concluded that polarization data alone can provide estimates of soil moisture in areas where the emissivity cannot be inferred due to nonavailability of surface temperature data. | en |
dc.format.extent | xiv, 143 leaves | en |
dc.format.medium | electronic | en |
dc.format.mimetype | application/pdf | |
dc.language.iso | eng | |
dc.rights | This thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use. | en |
dc.rights.uri | http://rightsstatements.org/vocab/InC/1.0/ | |
dc.subject | Meteorology | en |
dc.subject.classification | 1984 Dissertation H259 | |
dc.subject.lcsh | Soil moisture | en |
dc.subject.lcsh | Great Plains | en |
dc.subject.lcsh | Soil science | en |
dc.subject.lcsh | Great Plains | en |
dc.title | Soil moisture estimation over the Great Plains with dual polarization 1.66 centimeter passive microwave data from Nimbus 7 | en |
dc.type | Thesis | en |
thesis.degree.discipline | Philosophy | en |
thesis.degree.grantor | Texas A&M University | en |
thesis.degree.name | Doctor of Philosophy | en |
thesis.degree.name | Ph. D. in Philosophy | en |
thesis.degree.level | Doctorial | en |
dc.contributor.committeeMember | Franceschini, Guy A. | |
dc.contributor.committeeMember | Griffiths, John F | |
dc.contributor.committeeMember | Naugle, D. G. | |
dc.contributor.committeeMember | Williams, Glen N. | |
dc.type.genre | dissertations | en |
dc.type.material | text | en |
dc.format.digitalOrigin | reformatted digital | en |
dc.publisher.digital | Texas A&M University. Libraries | |
dc.identifier.oclc | 12653139 |
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