Soil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12

dc.contributor.authorMiller, Brian
dc.contributor.examiningcommitteeBullock, Paul (Soil Science) Lobb, David (Soil Science) Walker, David (Geography)en_US
dc.contributor.supervisorBullock, Paul (Soil Science) Lobb, David (Soil Science) Walker, David (Geography)en_US
dc.date.accessioned2016-04-12T20:56:52Z
dc.date.available2016-04-12T20:56:52Z
dc.date.issued2016
dc.degree.disciplineSoil Scienceen_US
dc.degree.levelMaster of Science (M.Sc.)en_US
dc.description.abstractThe SMAPVEX12 (Soil Moisture Active/Passive Validation Experiment 2012) was carried out over the summer of 2012 in Manitoba, Canada. The goal of the project was to improve the accuracy of satellite-based remote sensing of soil moisture. Data were gathered during a 42-day field campaign with surface measurements on 55 different agricultural fields in south-central Manitoba. The extended duration of the campaign, contrast in soil textures, and variety of crop types over the study region provided an excellent range of soil moisture and vegetation conditions. The study fields ranged from bare to fully vegetated, with volumetric soil moisture levels spanning a range of almost 50%. Remotely sensed data were collected on 17 days by aircraft at 1.4 Ghz with a microwave radiometer at two different resolutions. Observed brightness temperatures from the radiometer showed a typical inverse relationship to the near simultaneous soil moisture measurements from the field. Field-by-field relationships using all sampling dates with both soil and emissivity data were all shown to be significant with the exception of two of the pasture fields and a soybean field. Linear regressions across multiple fields and by flight lines also had statistically significant slopes. The significance of all these relationships improved with the removal of pasture fields from the analysis. On most fields, the sensitivity (slope) of the relationship and correlation coefficient (R2) between emissivity and observed soil moisture increased when vegetation and roughness effects were taken into account. The b parameter that relates vegetation water content to optical depth in the tau-omega model was optimized using the collective slope and R2 values of the individual fields. A b parameter value of 0.06 for horizontal polarization and 0.13 for vertical polarization were found to be optimal across the range of all fields in this analysis.en_US
dc.description.noteMay 2016en_US
dc.identifier.urihttp://hdl.handle.net/1993/31210
dc.language.isoengen_US
dc.rightsopen accessen_US
dc.subjectPassive microwaveen_US
dc.subjectSoil moistureen_US
dc.subjectSMAPen_US
dc.subjectRadiometeren_US
dc.subjectL-band microwaveen_US
dc.subjectAgricultureen_US
dc.titleSoil Moisture, vegetation and surface roughness impacts on high resolution L-band microwave emissivity from cropped land during SMAPVEX12en_US
dc.typemaster thesisen_US
local.subject.manitobayesen_US
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