چکیده مقاله
Space borne passive microwave observation is the most appropriate option for SWE estimation The study area includes several sub basins located in Tehran province, In which the microwave images of the Spectral Sensor Microwave Imager SSM/I , presented by NSIDC, are used The passive microwave images acquired in descending mode spanning between 1995 and 2008 and covering three month per year Jan to Mar are applied SWE is estimated by combination of microwave data and ground observation using linear regression algorithm, the spectral polarization difference SPD and Adaptive neuro fuzzy inference system ANFIS An index for wet snow condition in study area is developed The results show that the designed index significantly improves the performance of the methods Moreover, the most reliable results are achieved from the linear regression algorithm with applying index as well as the ANFIS model without applying index The results of different algorithms are finally presented and discussed
کلیدواژهها
نویسندگان
Alireza Borhani Dariane
Associated professor of Civil Engineering, KN Toosi University of Technology, Tehran
Ahmadreza Zakeri Nejad
M S student of Civil Engineering, KN Toosi University of Technology
Maryam Dehghani
Assistant professor of Geodesy and Geomatics Engineering, KN Toosi University of Technology
شیوه ارجاع
Borhani Dariane, Alireza and Zakeri Nejad, Ahmadreza and Dehghani, Maryam,1391,Estimation of Snow Water Equivalent using SSM/I passive microwave data in Tehran,9th International Congress on Civil Engineering,Isfahan
ارائهشده در
مجموعه مقالات نهمین کنگره بین الملی مهندسی عمران19 اردیبهشت 1391 · اصفهان