Title :
A new dielectric model for vegetation in frozen environment—Part II: Validation section
Author :
Fengmin Wu ; Linna Chai ; Lixin Zhang ; Shaojie Zhao ; Xiaokang Kou ; Juntao Yang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing, China
Abstract :
A new dielectric model for vegetation in frozen environment based on the Debye-Cole dual-dispersion model was already developed in part I. This model can be used at a wide frequency range (0.5GHz - 40GHz) and even applicable for negative temperatures reached -20°C. In this paper, a matrix-doubling microwave emission model was used to evaluate vegetation effects in a frozen environment at 6.925, 10.65, 18.7 and 36.5GHz (V and H polarization). To verify the new developed dielectric model, a kind of young tree named Populus tomentosas was measured based on the Truck-mounted Multi-frequency Microwave Radiometer in December of 2012. In the experiment, the ground was irrigated to get rid of the soil signals. Also, the row-structure´s effect on the trees can be eliminated when water covered the whole ground surface. Comparisons and analysis between model simulations and field measurements showed the dielectric model can be applied to microwave emission model as input data. Furthermore, the characteristics of microwave radiation of vegetation in frozen environment were evaluated and how the vegetation dielectric constant affected the electric field and physical property of vegetation layer was explained.
Keywords :
permittivity; radiometry; vegetation; AD 2012 12; Debye-Cole dual dispersion model; Populus tomentosas; Truck mounted Multifrequency Microwave Radiometer; dielectric model; frequency 10.65 GHz; frequency 18.7 GHz; frequency 36.5 GHz; frequency 6.925 GHz; frozen environment; matrix doubling microwave emission model; row structure effect; tree; vegetation; Data models; Dielectric constant; Microwave measurement; Microwave radiometry; Temperature measurement; Vegetation; Vegetation mapping; dielectric model; frozen environment; passive microwave; vegetation;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2013 IEEE International
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-1114-1
DOI :
10.1109/IGARSS.2013.6723036