Abstract: To establish a remote sensing index to evaluate urban green space environment, we extracted 2- and 3-dimensional information of urban vegetation and buildings based on airborne LiDAR and multispectral image data of Székesfehérv-r City in Hungary. We selected evaluation factors using moving window method, calculated the contribution of each factor to urban green space environment using weighted analysis method, and then established building green environment index (BGEI), and gave a comparison with the traditional urban green index (UGI). Compared with the UGI, the BGEI takes into account not only the two-dimensional information of urban environmental factors, but also the three dimensional information, which increases the rationality of index construction. The new index can give a more comprehensive analysis, and overcome the shortcomings of the traditional ecological measurement method by substituting point for plane. BGEI can accurately reflect the status of urban green space environment and the differences between urban functional areas for either the whole city or different functional areas of the city.

Key words: desert., photosynthetic capacity, ephemeral plant