Analyzing inter-annual variability of land surface temperature using satellite data

Abstract

Atmosphere-land surface interaction plays a dominant role on the hydrologic cycle. To get much deeper knowledge of hydrologic cycle, land surface hydrologic variables observed by satellite were analyzed. In this study, land surface hydrologic products derived from MODIS sensor, which have 6 km spatial resolution, are daily data sets and are available from 2001 to 2010, are used for time series analysis. Firstly, daily data is composited into 8-days data to remove unrealistic values even if daily product was already calibrated or corrected. It was found that there are spatial and temporal distribution of 10-years average and standard deviation for each 8-days term. The areas which have extreme interannual variability were pointed out from the analysis of standard score for each term.