Estimation of forest volume in Huzhong forest area based on RS, GIS and ANN

Zhi Hua Liu, Yu Chang, Hong Wei Chen

Research output: Contribution to journalArticlepeer-review

19 Scopus citations


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 PCl. 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 ado pted. After principal component transformation, the amount of observation data was effectively reduced, while the predicted precision only had a small decline (R2 = 0.934).

Original languageEnglish
Pages (from-to)1891-1896
Number of pages6
JournalChinese Journal of Applied Ecology
Issue number9
StatePublished - Sep 2008


  • Artificial neutral network (ANN)
  • Forest volume
  • Geographic information system (GIS)
  • Remote sensing (RS)


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