文献类型：期刊文献

英文题名：Visual simulation of quantitative thinning in a Chinese fir plantation based on workflow foundation

作者：Li, Yongliang[1] Zhang, Huaiqing[1] Ju, Hongbo[1] Wang, Guangxing[2,3]

第一作者：李永亮

通信作者：Zhang, Huaiqing

机构：[1] Research Institute of Forest Resource Information Techniques, Chinese Academy of Forestry, Doxiaofu 1, Xiangshan Road, Beijing, 100091, China; [2] Research Center of Forestry Remote Sensing and Information Engineering, Central South University of Forestry and Technology, Changsha, China; [3] Department of Geography, Southern Illinois University, Carbondale, IL, United States

年份：2015

卷号：31

期号：3

起止页码：339-349

外文期刊名：Applied Engineering in Agriculture

收录：EI(收录号：20152901048476);Scopus(收录号：2-s2.0-84937206900)

语种：英文

外文关键词：Decision making - Forestry - Human computer interaction - Managers

摘要：We established a visual simulation technique for quantitative thinning to improve the thinning supervision level. Five quantitative indices were selected as the factors for removing trees. A decision-making model was established and was used to quantify the probability that a tree is selected to be removed. First, a manager-oriented visual workflow was designed and nine graphic self-defined activities were developed. Second, a decision-making visualization model for removed trees and a visualization model of quantitative thinning processes were constructed using human-computer interaction. Third, quantitative thinning processes were implemented by adding workflow tracking services for selfdefined activities and defining a workflow engine. Furthermore, we achieved visual simulation of stand structure, stand status in two dimensions, and stand scene in three dimensions before and after thinning. Visual simulation of quantitative thinning was achieved and tested on a Chinese fir plantation. The results showed that the removed trees could be selected quantitatively and that stand structure could be optimized and adjusted, and that the visual simulation techniques made the quantitative thinning process and effects manager-oriented with robust interactivity, operability, and visualization. This method can be used in the actual thinning production and provide the technical references for other management measures. ? 2015 American Society of Agricultural and Biological Engineers.