In urbanization process, greater consideration of the manner in which rural lands are developed for urban lands will become progressively more important. Removal of rural land cover types such as soil, water, and vegetation and their replacement with common urban materials such as asphalt, concrete, and metal have significant environmental implications including reduction in evapotranspiration, promotion of more rapid surface runoff, increased storage and transfer of sensible heat, and reduction of air and water quality. Thermal environment and vegetation cover are two important factors for urban eco-environment. Land Surface Temperature (LST) and Normalized Difference Vegetation Index (NDVI) associated with urban land use type and land use pattern are discussed in this paper, using the data collected by the Landsat7 Enhanced Thematic Mapper Plus (ETM+) and aerial photography remote sensing system in the city of Shanghai. Analysis of variance indicates statistically significant differences in mean LST and NDVI values. Mean LST and NDVI values associated with different land use types are significantly different. There is an apparent correlativity between LST and NDVI from the profile line values of the two factors. Multiple comparisons of mean LST and NDVI values associated with pairings of each land use type by Tamhane’s T2 post-hoc tests are also shown to be significantly different. The result of a regressive analysis shows a significant inverse correlation relationship between LST and NDVI associated with all land use polygons, the same associated with each land type, but correlation coefficients associated with land use types are different. Then an analysis was performed about the relationship among LST, NDVI and Shannon Diversity Index (SHDI), which shows a positive correlation between LST and SHDI and a negative correlation between NDVI and SHDI. As the SHDI continue to increase, it’s more sensitive of LST change on the influence of NDVI.According to the above results, LST, SHDI and NDVI can be considered to be three basic indices to reflect urban eco-environmental effect of urban land use/cover and to contribute to further validation of the applicability of relatively low cost, moderate spatial resolution satellite imagery (TM or ETM+) in evaluating environmental impacts of urban land function zoning, then to examine the impact of urban land use/cover on the urban eco-environment in the city of Shanghai, China. And this paper also provides an effective tool in evaluating environmental influences of zoning in urban ecosystems with remote sensing and geographic information system. As higher resolution remote sensing imagery becomes more commonly available, the methods presented in this research could be extended to more specific urban design considerations that impact the thermal and vegetation components of urban ecosystems at finer spatial scales.