教師資料查詢 | 類別: 期刊論文 | 教師: 張雅梅 Ya-mei, Chang (瀏覽個人網頁)

標題:Spatial statistical analysis of tree deaths using airborne digital imagery
學年101
學期2
出版(發表)日期2013/04/01
作品名稱Spatial statistical analysis of tree deaths using airborne digital imagery
作品名稱(其他語言)
著者Chang, Ya-Mei; Baddeley, Adrian; Wallace, Jeremy; Canci, Michael
單位淡江大學統計學系
出版者Amsterdam: Elsevier BV
著錄名稱、卷期、頁數International Journal of Applied Earth Observation and Geoinformation 21, pp.418–426
摘要High resolution digital airborne imagery offers unprecedented opportunities for observation and monitoring of vegetation, providing the potential to identify, locate and track individual vegetation objects over time. Analytical tools are required to quantify relevant information. In this paper, locations of trees over a large area of native woodland vegetation were identified using morphological image analysis techniques. Methods of spatial point process statistics were then applied to estimate the spatially-varying tree death risk, and to show that it is significantly non-uniform. [Tree deaths over the area were detected in our previous work (Wallace et al., 2008).] The study area is a major source of ground water for the city of Perth, and the work was motivated by the need to understand and quantify vegetation changes in the context of water extraction and drying climate. The influence of hydrological variables on tree death risk was investigated using spatial statistics (graphical exploratory methods, spatial point pattern modelling and diagnostics).
關鍵字Covariate effect; Kernel estimation; Morphological image analysis; Partial residual; Spatial point pattern; Tree location detection; Point process; Logistic regression; Leverage; Influence
語言英文(美國)
ISSN1872-826X;1569-8432
期刊性質國外
收錄於SCI
產學合作
通訊作者Chang, Ya-Mei
審稿制度
國別荷蘭
公開徵稿
出版型式紙本;電子版
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