Quantitative Retrieving of Vegetation Factors for Desertification Area
Quantitative RSIM (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.
Wenyi Fan Mingze Li Ying Yu
Forest Management Department of Northeast Forestry University, Harbin, China, 150040
国际会议
哈尔滨
英文
376-380
2011-03-26（万方平台首次上网日期，不代表论文的发表时间）