碩士 / 國立宜蘭大學 / 自然資源學系碩士班 / 95 / The protection and restoration of coastal ecological environment is significant at this moment, but there are still some limitations to employ the aerial and satellite images to the steep forest land in Taiwan. Thus this research aimed at estimating the volume of the coastal protection forest of Casuarina. We chose the coastal protection forest of Casuarina in the smooth and mild Lan-Yang plain as the test region. Systematic and double sampling was adopted in the study. We measured the tree height, canopy diameter and crown closure as independent variables from the aerial images, and investigated the aerial image plot corresponding to the ground plot to get the dependent variable, and then established Casuarina volume estimate model. Moreover, we have tried to add the NDVI of the images shot at the same date from FORMOSAT-2, which had the same breadth with other satellites, as an independent variable to test if it can enhance the predicted precision of regression analysis, and then evaluate the usability of its image data. As a result, the R2 of the logarithmic volume regression model is higher than the arithmetical volume regression model. Furthermore, we fitted a nonlinear volume regression model, which initial values of the parameters were based on the regression coefficients of the logarithmic volume regression model. The outcome is better than using arithmetical volume regression model, and there is no need to adjust log bias as well, hence the nonlinear volume regression model was adopted. Among the independent variables, the ones with the highest correlation is the tree mean height obtained from aerial images, the crown closure, and the estimated number of plants derived from the crown closure and crown mean width. On the other hand, applying the NDVI from year 2004 and 2006 image data, all the pair wise correlations between each of these NDVIs and each of the variables of the ground plots are very low. In this research, the NDVI of the images from FORMOSAT-2 does not improve the precision of volume estimation.
| Identifer | oai:union.ndltd.org:TW/095NIU07148006 |
| Date | January 2007 |
| Creators | Wu, Si-Yi, 吳思儀 |
| Contributors | Wang, Chao-Huan, 王兆桓 |
| Source Sets | National Digital Library of Theses and Dissertations in Taiwan |
| Language | zh-TW |
| Detected Language | English |
| Type | 學位論文 ; thesis |
| Format | 60 |
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