[Objective] We aimed to establish a more scientific and reasonable ecology evaluation model of remote sensing information in order to provide scientific basis for sustainable development of study area.[Methods] The NDVI(normalized difference vegetation index) and dimidiate pixel model were used to monitor vegetation coverage as the evaluation index of vegetation coverage information; Thermal inertia method was used to inverse soil moisture content in the study area, and it was taken as the index of vegetation coverage information and soil fertility; Soil texture coding image was obtained by visual interpreting, and the soil physical clay content was taken as the index to evaluate compaction situation; The bare land ratio was extracted by linear spectral mixture decomposition model.[Results] The ecological evaluation index system was built from the perspective of land use, and the ecological evaluation remote sensing information model which unit is pixel was established.[Conclusion] The vegetation coverage largely affects the vegetation coverage of study area; the overall evaluation accuracy of this study is improved by 15% more than the traditional methods.