干旱区生态环境知识资源中心

Quantitative RAM (Remote Sensing Information Model) was studied to retrieve the vegetation factors (vegetation cover and biomass) for desertification assessment by using the data of state-produced hyperspectral resolution imagining spectrometer (OMIS-I), and the corresponding vegetation factors recoding maps based on pixel were obtained. The result shows that it is reliable to retrieve quantitatively the vegetation cover and the biomass by the data of hyperspectral resolution imagining spectrometer. When there are both the shrub and the grassland in the retrieved region, the precision of the polynomial model is obvious higher than that of the linear model, contrastingly when the type of the vegetations is simplification, the linear model has the higher precision. The quantitative retrieving of the vegetation factors are related to the vegetation type.