Open AccessComparison of Remotely Sensed Wind Data over Sulawesi and Maluku Islands Sea Areas
Author(s) -
Faisal Mahmuddin
Publication year - 2016
Publication title -
kne engineering
Language(s) - English
Resource type - Journals
ISSN - 2518-6841
DOI - 10.18502/keg.v0i0.513
Subject(s) - special sensor microwave/imager , remote sensing , meteorology , environmental science , radiometer , satellite , standard deviation , microwave radiometer , microwave , wind speed , mean squared error , computer science , geography , mathematics , brightness temperature , statistics , telecommunications , physics , astronomy
In order to obtain accurate prediction of ocean wind energy, long term data are needed. However, one data sources might not able to provide long duration data. Therefore, the data need to be combined with other sources of data. However, before combining the data, it is important to compare and validate them to confirm their accuracy. In the present study, wind speed data collected by QuikScat and SSM/I (SSMIS) missions are compared and analyzed. QuikScat data were collected by a satellite with the same name, while Special Sensor Microwave Imager (SSM/I) and Special Sensor Microwave Imager Sounder (SSMIS) data are processed and offered by Remote Sensing System (RSS). SSM/I (SSMIS) are passive microwave radiometers carried onboard Defense Meteorological Satellite Program (DMSP). For the comparison, 5 (five) arbitrary positions over Sulawesi and Maluku islands sea areas are chosen for the analyses. For the evaluation purposes, beside time series of daily data from several chosen positions in research location, several statistical parameters are also computed and compared such as mean, standard deviation, root mean square (RMS), correlation coefficient.