Skip to main content

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

  • Date of declaration:2018-03-16
  • PI:Huan Yu Lin
  • Division:Botanical Garden Division
Research title
Science and Technology Programs(2017)
KeyWord
forest stock;forest resource inventory;aerial images;forest structure;bamboo forest;
Abstract
一、In Taiwan, communal and private forests occupied 250,000 ha of territorial areas and approximately 81.6% (204,000 ha) is the forested land. Since they are usually located in the rural, accessible, and lowland areas, they are more suitable for timber production. However, not only the piecemeal issues of ownership of private forests is so complicated, but the administration of land boundaries, cadasters and forest resources are also the dilemma. It causes the forestry authorities are difficult to control the detail information of private forests precisely. In order to improve the above-mentioned defects, this project set aims as below: (1) To construct an informatics procedure for integrating GIS data of communal and private forests to delineate their boundaries and distribution. (2) To use stereo aerial images to map the latest land coverage of forest land. (3) To measure the structuring parameters of forest stands by stereo images for constructing the regression models for forest stock estimation. We hope the study can provides more information for the forest authorities to deal with the resource inventory and management policies.二、We have studied the forest resource distribution of Tainan, Nantou, Miaoli and Hsinchu form 2014 to 2016, and established a workflow to integrate the GIS data from TFB and SWCB to represent the entire land cover of studying areas. This year, we will not only apply the workfolw in New Taipei and Taoyuan to validate its effectiveness, but also to delineate the current bamboo forest resource distribution of these 2 administrative areas. Furthermore, we will try to use the structure parameters from aerial images and plot data from field works to construct a regression model estimating the culm density of Phyllostachys makinoi bamboo forest.