Required Tools Spatial distribution of net primary production (NPP) using modis data and correlation with climate variability

23 Sumatra terrene has wide areas and cannot cover only by one single image of MODIS data. In this case, the MODIS datasets are provided to user in a tile fashion, each tile covers approximately by 10 latitude and 10 longitudes and to cover the whole of Sumatra terrene its need four tiles of MODIS datasets. The total of MODIS datasets in this study are used 432 of MODIS EVI enhanced vegetation index and 1640 of MODIS FPAR. Climatic data derived from monthly meteorological observations January 2001 –December 2009 from NCEPDOE 2 Reanalysis data was provided by the NOAAOARESRL PSD, Boulder, Colorado, USA, from their Web site at http:www.esrl.noaa.govpsd . There are two kinds of data were used from this source, which are monthly temperature and monthly precipitation. Monthly minimum and maximum temperature from this source were using a state-of-the-art analysisforecast system to perform data assimilation data from 1979 to near the present. Temperature data were provided for global gridded with spatial coverage of 1.875-degree latitude x 1.875-degree longitude global grid of monthly anomalies of observed air temperature and combined observed air and marine temperature. Monthly estimates of precipitation were obtained by monthly and global gridded with spatial coverage of 1.875-degree latitude x 1.875-degree longitude precipitation means. This data set consists of monthly averaged precipitation rate values mmday. Global monthly precipitation analysis based on gauge observations, satellite estimates, and numerical model outputs. It includes a standard and enhanced version with NCEP Reanalysis from 1979 to near the present. Climatic data were provided in the UniData NetCDF network Common Data Form format. NetCDF is an interface for array-oriented data access and a library that provides an implementation of the interface. The NetCDF library also defines a machine-independent format for representing scientific data. Together, the interface, library, and format support the creation, access, and sharing of scientific data.