Abstract:
The irregularity of observation sites distribution and network density, lack data availability and
discontinuity are the obstacles to analyzing and producing the information of agroclimate zone
in South Kalimantan. TRMM satellite needs to be researched to overcome the limitations of
surface observation data. This study intended to validate TRMM 3B43 satellite data with
surface rainfall, to produce Oldeman agroclimate zone based on TRMM satellite data and to
analyze the agroclimate zone for agricultural resources management. Data validation is done
using the statistical method by analyzing the correlation value (r) and RMSE (Root Mean
Square Error). The agroclimate zone is classified based on Oldeman climate classification type.
The calculation results are mapped spatially using Arc GIS 10.2 software. The validation result
of the TRMM satellite and surface rainfall data shows a high correlation value for the monthly
average. The value of correlation coefficient is 0,97 and 25 mm for RMSE value. Oldeman
agroclimate zone based on TRMM satellite data in south Kalimantan is divided into five climate
zones, such as B1, B2, C1, C2, and D1.
