The aim of this study is to examine spatio-temporal patterns over Lahore during 2000-2015 using tasselled cap transformation (TCT) technique, to extract information about urban vegetation and underlying bare soil in a highly-urbanized area. The focus is to validate T-cap components against normalized difference vegetation index (NDVI) and bare soil index (BI) in order to develop a range for T-cap on a scale of 0-1 for classification of landcover, that is linked with physical characteristics of the scene, without any dependence upon indices. OTSU thresholding was applied on ETM+ images. T-cap greenness component (TCG) and NDVI performed best with kappa coefficient (k) from 0.41-0.61 (R sq.=0.96-0.98) while T-cap brightness (TCB) and BI reaches only k=0.25 with least level of agreement. Overall accuracy ranges from 62%-79%, whereas spring season, month of March, 2010, achieves the highest accuracy. Generally, for TCG values greater than 0 represents vegetation, while for TCB values within 0.15-0.35 indicate bare soil. It was observed that BI > 0.35 signifies planned blocks for future builtup areas.