Impact of sub-pixel heterogeneity on modelled brightness temperature for an agricultural region

摘要: Abstract Knowledge of sub-pixel heterogeneity, particularly at the passive microwave scale, can improve brightness temperature (and ultimately soil moisture) estimation. However, impact surface heterogeneity (in terms moisture, and vegetation water content) on in an agricultural setting is relatively unknown. The Soil Moisture Active Passive Validation Experiment 2012 (SMAPVEX12) provided opportunity to evaluate scale a Ocean Salinity (SMOS) or (SMAP) radiometer footprint using field measured data. first objective this study was determine if accounting for reduced error between estimated ( T b ) by SMOS. It found that when variation content within pixel footprint, modelled less than homogeneous were modelled. correlation parameters associated with not investigated. there low moderate coefficient variance volumetric during campaign. it correlations changed depending stage growth amount time following precipitation event. At start campaign (following event), strong all three r  ≥ 0.75). Following event close middle (during which rapid vegetation), variability  = 0.89), moisture  = 0.61)  = 0.26).