Split window technique has been applied in this study to extract Land Surface Temperature (Ts) as a step leading to the retrieval of surface soil moisture and evapotranspiration over five study areas in Perak Tengah& Manjong, where the areas were selected according to the difference in surface cover type. Multiple NOAA/AVHRR images throughout June-August (2009) were acquired over the study area and processed; measured ground air temperature data (Ta) for the targeted areas were collected as well. Normalized Difference Vegetation Index (NDVI) and land surface Emissivity () were calculated from image visible bands 1&2. The brightness temperature from bands 4&5 was then used with to derive Ts using three different split window algorithms. The results show a good correlation between satellite estimated Ts and measured Ta especially when Uliveri et al. (1994) algorithm was applied over the agricultural area with R2 reaching 87. Moreover, the work handled the analysis of Soil moisture content Mc acquired from in-situ measurements and Surface temperature. Mc was measured using soil moisture probe for Sitiawan and the oven method for UTP; verification values of Ts and Mc were measured in three variables near surface depths 5 cm, 10 cm and 15 cm then plotted against each other in graphical representation to study the behavior of wet soil under surface temperature impact. A reasonable negative relationship was noticed among the Mc-Ts representation. NDVI-Ts relationship has been studied and negative representation also was found between NDVI and Ts over the uniform vegetation covers, indicating the applicability/suitability of the so called Triangle method. © 2011 IEEE.