A remote sensing study was carried out to map the spatial distribution and intensities of various micro-climate parameters such as surface temperature, surface albedo, precipitation etc., to assess their influence over vegetation health of the region. Remote sensing data pertaining to Landsat-TM and NOAA-AVHRR was used to retrieve the vegetation parameters like NDVI, pasture yield as well as climate parameters like surface temperature and albedo. The study has demonstrated the utility of remote sensing in monitoring the seasonal variations in vegetation growth with respect to meteorological conditions and changes occurring between different periods of same seasons due to change in micro-climate. A direct relationship between micro level variations in the vegetation growth with respect to meteorological conditions in the region was established.