[Quantitative estimation of vegetation coverage in Mu Us sandy land based on RS and GIS].
On the basis of oriented field investigation data and corresponding RS and GIS information, and by the method of ridge estimation, this paper studied the estimation model of vegetation coverage and its affecting factors in Yijinholo County of northeast Mu Us sandy land. The results showed that the vegetation coverage was affected by NDVI, and closely linked with such RS and GIS information as, TM7, TM2, TM 4/3 and gradient. Ridge estimation method could obviously improve the limitation of Least Square method, eliminate the adverse effects caused by existing complex estimation relation towards uncoiling undetermined parameter among the variables, and improve the estimate precision. The vegetation coverage estimation model taking pixel as unit was established, and its test precision could reach 98.7%. In addition, a regional vegetation coverage GIS was established, which could realize the inquiry, regeneration, and drawing of any spot (pixel) or any land unit of vegetation coverage automatically.
Cai
Tijiu
T
College of Forestry, Northeast Forestry University, Harbin 150040, China. caitj@263.net
Ju
Cunyong
C
Yao
Yuefeng
Y
D002681:China; D004784:Environmental Monitoring; D040362:Geographic Information Systems; D008962:Models, Theoretical; D006109:Poaceae / Q000254:growth & development*; D017215:Satellite Communications; D012822:Silicon Dioxide / Q000032:analysis*; D012987:Soil / Q000032:analysis*
D012987:Soil; D012822:Silicon Dioxide