title: [Remote sensing information model for desertification evaluation of Keerqin sandy land].
abstract: By using remote sensing information model, this paper quantitatively retrieved the main factors for desertification evaluation of Keerqin sandy land, which included vegetation cover, biomass, and soil moisture content. The occupation ratio of bare sandy land was obtained by using linear mixed spectrum model. Every image pixel could be used to acquire the indices of all evaluation factors. Based on the current methods of desertification assessment, the quantitative remote sensing information model on the basis of the pixel was built, and the distribution map of desertification degree was plotted. The precision of the model calculated by selecting 60 in situ sample data reached 91.7%, suggesting that it was reliable and scientific to evaluate the desertification degree by using this model.
authors.affiliation: College of Forestry, Northeast Forestry University, Harbin 150040, China. fanwy@163.com
authors.forename: Wenyi
authors.initials: W
authors.lastname: Fan
authors.forename: Wenhua
authors.initials: W
authors.lastname: Zhang
mesh_terms: D002681:China; D003247:Conservation of Natural Resources / Q000706:statistics & numerical data*; D003889:Desert Climate; D017753:Ecosystem; D004784:Environmental Monitoring / Q000379:methods*; D005069:Evaluation Studies as Topic; D008962:Models, Theoretical; D017215:Satellite Communications; D012987:Soil / Q000032:analysis
chemical_list: D012987:Soil