Abstract：The study area was chosen in Yijinholo County, Mu Us Sandland, by means of ridge estimation method. The factors affecting biomass were optimized and filtrated according to the orientation investigation data in field and the corresponding RS and G1S information. The main factors were found out, the biomass estimation model are set up, and the quantitative estimation of regional biomass and automation of cartography were fulfilled, which provides the scientific base to establish regional development plan and desertification combating plan.
蔡体久1,4；慈龙骏2；李崇贵3；洪军4. 基于RS和GIS的毛乌素沙地生物量估测[J]. 中国水土保持科学, 2003, 1(2): 33-37.
CA Ben-Jiu-；Ci-Long-Jun-；Li-Chong-Gui-；Hong-Jun. Quantitative Estimation of Biomass Based on RS and GIS in Mu Us Sandland. SSWCC, 2003, 1(2): 33-37.
2003, Vol. 1 
