Abstract: Based on the TM image data and field observation data, and by using remote sensing quantitative inversion models, the land surface parameters affecting the ecological services of urban green space in Guangzhou City, e.g., leaf area index, vegetation index, soil moisture content, land surface albedo, and land surface temperature, were extracted. Each of these parameters was evaluated and graded by using Neural Network technology, and a multiple factor comprehensive evaluation of the urban ecosystem services in the City was conducted by fuzzy clustering. The results showed that the ecological services of the green space were weak. There was a great difference in the distribution of green space among each urban area, and the spatial arrangement was unreasonable. The area of the green space with the first degree ecological services was 2.1 km2, only accounted for 0.4% of the total, while the area of the green space with the second, third, and fourth degrees ecological services accounted for 2.4%, 5.0%, and 29%, respectively.

Key words: natural nests, structure characteristics, artificial nest frame, design, Ciconia boyciana