Title :
Comparison of Dry Snow Emission Model and the Primary Study on Satellite Data Simulation
Author :
Zhao, Tianjie ; Jiang, Lingmei ; Zhang, Lixin ; Du, Jinyang
Author_Institution :
State Key Lab. of Remote Sensing Sci., Beijing Normal Univ., Beijing
Abstract :
The parameterized emission model of dry snow developed by Jiang et al. could be used to simulate the microwave emission signal for one layer snow. On the basis of sensitivity analysis, this simple snow parameterized model is firstly compared with the HUT model using the PSR observation with the corresponding snow pits data over North Park area in Feb., 2003. At lower frequencies, both of the two models underestimated the measurements, while the parameterized model was closer to the PSR at 36.5 GHz, since the parameterized model considered the multiscattering in the snow layer. Finally, with this parameterized model, we performed the brightness temperature simulation of the Polarimetric Scanning Radiometer data similar as AMSR-E, with the outputs from the Snow Model. The difference between the simulated TBs and the measurements of PSR was as large as 20 K, even more at 10.7 GHz. Through analysis, the discrimination was possibly either linked with the emission model or due to snow surface simulations. This comparison case made us to better understand how accurate the simulations could be in reality.
Keywords :
land surface temperature; remote sensing; snow; AD 2003 02; California; HUT model; North Park area; PSR observation; Polarimetric Scanning Radiometer data; brightness temperature simulation; dry snow emission model; frequency 36.5 GHz; microwave emission signal simulation; satellite data simulation; snow layer; snow parameterized model; snow pits data; snow surface simulations; Brightness temperature; Electromagnetic modeling; Integral equations; Meteorology; Microwave sensors; Passive microwave remote sensing; Remote sensing; Satellite broadcasting; Snow; Water resources; CLPX; Dry snow emission model; passive microwave remote sensing; satellite data simulation;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4779904