Urban land grading is very important in land management and pricing and is also time-consuming and expensive. In this paper, remote sensing observations were employed in the land grading system for updating land grading results timely and accurately. MODIS NDVI and LST images of Wuhan City were used as surface grading factors and applied to a quantitative evaluation of the living environment of Wuhan. Compared with traditional methods, the remote sensing analysis has the merit that the land grading results of Wuhan City can be conveniently updated with a shorter time, higher efficiency and more accurate results.