期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2010
卷号：XXXVIII - Part 8
页码：633-636
出版社：Copernicus Publications
摘要：Remote sensing technology that uses the observation from satellite sensor is necessary for the global estimation of forest biomass. However, a wide range of ground based measurements (e.g., diameter at breast height (DBH), crown height, crown width, tree height) is required for the algorithm development and verification of satellite based estimation of biomass. These ground based measurements are time consuming, laborious and costly as well. Ground based laser scanning method which can provide various measurements and structural analysis of the forest can be an alternative method to traditional ground based measurements. However, some problems exist on ground based laser scanner. For example, it is impossible to estimate the shape of invisible tree where ground based laser cannot reach. In this case, high density laser scanned data can be acquired by overlapping the scanning data by measuring from multi-observational points. As a result, the problem of invisible area in the forest could be solved. However, it is also problem to take more observation points than the optimum observational points because the requirements of labor, time increase with the increase in observational points. Therefore, this study aims to optimize the multi observation points of the ground based laser scanning system in a forest. The meaning of optimization is to sufficiently observe the targeted area without any invisible area with the lowest possible observation points. In this idea of optimization, arrangement of observational points which can overlap the observed area by reducing the invisible are is important. This paper presents the method and result of overlapping the laser scanning area with optimization of multi observation points
