Welcome to visit Scientia Silvae Sinicae,Today is

Scientia Silvae Sinicae ›› 2011, Vol. 47 ›› Issue (1): 15-21.doi: 10.11707/j.1001-7488. 20110103

Previous Articles     Next Articles

Remote Sensing Classification Technique of Shrub in Tibet Based on ETM+ and DEM

Zhang Chao1,2, Huang Qinglin2, Zhu Xuelin3, Zhang Xiaohong2, Pubu Dunzhu3, Dan Zeng3   

  1. 1. Faculty of Natural Resources, Southwest Forestry University Kunming 650224;2. Key Laboratory of Forestry Remote Sensing and Information Technology, State Forestry Administration Institute of Forest Resources Information Techniques, CAF Beijing 100091;3. Forest Inventory and Planning Institute of Tibet Autonomous Region Lasa 850000
  • Received:2009-12-07 Revised:2010-05-07 Online:2011-01-25 Published:2011-01-25

Abstract:

The classification of shrub types in Tibet with the remote sensing would be efficient because of the large size of shrub patch and pure stand mostly. Based on an investigation on the main types of shrub in Tibet by using the remote sensing, elevation, slope, aspect and NDVI were chosen as the main factors influncing spatial distribution of shrubs and discriminate model and rules were established by using the method of discriminate analysis. The remote sensing classification technique of shrub,used in Tibet, was discussed, and an assistant classification was carried out based on spatial distribution. The result showed the accuracy of assistant classification was carried out based on the spatial distribution. Characteristics was 86.24%, which met the requirements of forestry production. The accuracy of the mixed forests of Sophora davidii , Hippophae and Tamarix ramosissima was 95.00%, and the accuracy of the other groups were 81.08% and 81.25%.

Key words: Tibet, shrub, remote sensing classification, spatial distribution

CLC Number: