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Application of aerial images and GIS techniques in forest resources estimation (2/4)

  • Date of declaration:2016-04-01
  • PI:Huan-Yu Lin
  • Division:Botanical Garden Division
Research title
Science and Technology Programs(2015)
KeyWord
forest stock;forest resource inventory;aerial images;forest structure;bamboo forest
Abstract
We established a workflow to integrate the landuse maps of the 4th forest resources inventory project (TFB, COA) and the slopeland utilization inventory project (SWCB, COA). Based on the latest aerial images, we implemented field works and set 77 forest plots to reidentified the bamboo forest distribution and stocks of Nantou County.
The results show that there are 8,821 hectares of bamboo forest and 3,410 hectares of bamboo-broad leaves mixed forest in the slopeland and plains of Nantou, mainly composed by Phyllostachys pubescens and Bambusa stenostachya, Chu-Shan and Lu-Ku are the most rich bamboo distribution area. The P. pubescens bamboo forest has the widest distribution in Nantou with an average stem density about 6,545 culms/ha, the average DBH and stem height are 8 cm and 13.65m.
三、Based on the stereo aerial images taken by an UAV, we measured the structure parameters of P. pubescens bamboo forest, including canopy coverage, canopy height, canopy width and thicket density, to construct a linear regression model for estimating the stem density. The result showed that the thicket density and canopy width are correlated to stem density, and the regression model is adaptive for estimation with adjusted r square 0.7825.