title: [Estimation of forest volume in Huzhong forest area based on RS, GIS and ANN].
abstract: Based on remote sensing (RS) which has integrated and realistic characteristics, geographic information system (GIS) which has powerful spatial analysis ability, and artificial neutral network (ANN) which can optimize nonlinear complex systems, the forest volume in Huzhong forest area was estimated. The results showed that there was an obvious negative correlation between the forest volume and infrared band, indicating that infrared band had definite potential in estimating forest volume. The forest volume also negatively correlated with visible band and PC1. Among the topographic factors, altitude exerted more influence than aspect and slope on the estimation of forest volume. The correlation coefficient of predicted value and actual value reached to 0.973, when the optimal ANN parameter, suitable GIS information, and RS bands were adopted. After principal component transformation, the amount of observation data was effectively reduced, while the predicted precision only had a small decline (R2 = 0.934).
authors.affiliation: Institute of Applied Ecology, Chinese Academy of Sciences, Shenyang 110016, China. liuzh811@126.com
authors.forename: Zhi-Hua
authors.initials: ZH
authors.lastname: Liu
authors.forename: Yu
authors.initials: Y
authors.lastname: Chang
authors.forename: Hong-Wei
authors.initials: HW
authors.lastname: Chen
mesh_terms: D018533:Biomass; D002681:China; D003247:Conservation of Natural Resources / Q000379:methods*; D004784:Environmental Monitoring; D040362:Geographic Information Systems; D016571:Neural Networks, Computer; D017215:Satellite Communications; D014197:Trees / Q000254:growth & development*