Validasi Nilai Erosivitas Hujan Dari Data Penginderaan Jauh TRMM 3B42 Di Bali Selatan

Rainfall erosivity is a measure for the erosive force of rainfall. Rainfall kinetic energy determines the erosivity and is in turn greatly dependent on rainfall intensity. Research has been conducted to validate monthly rainfall erosivity derived from the Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA) 3B43 version 7 using rain gauge data analysis from 2003 to 2012. Rain gauge located in the south Bali regions were employed to monitor erosivity value from two different methods that are base on Bols (1978) and Abdurachman (1989). The relationship of erosivity and their other factor from TRMM 3B43 and rain gauge data statistical analysis measures consisted of the linear correlation coefficient, the mean bias error (MBE), and the root mean square error (RMSE). Data validation was conducted with point-by-point analysis. The results of these analyses indicate that satellite data have lower values than the gauge estimation values. The point-by-point analysis indicated satellite data values of high to very high correlation, while values of MBE and RMSE tended to indicate underestimations with high square errors. Moreover, monthly rainfall erosivity derived from TRMM give high correlation from both methods, with has high bias and root-mean-square error. In general, the data from TRMM 3B43 version 7 are potentially usable to replace rain gauge data based on erosivity estimation, but after inconsistencies and errors are taken into account