Use of airborne laser scanner data in demanding forest conditions

Most of the applications of airborne laser scanner data to forestry require that the point cloud be normalized, i.e., each point represents height from the ground instead of elevation. To normalize the point cloud, a digital terrain model (DTM), which is derived from the ground returns in the point cloud, is employed. Unfortunately, extracting accurate DTMs from airborne laser scanner data is a challenging task, especially in tropical forests where the canopy is normally very thick (partially closed), leading to a situation in which only a limited number of laser pulses reach the ground. Therefore, robust algorithms for extracting accurate DTMs in low-ground-point-densitysituations are needed in order to realize the full potential of airborne laser scanner data to forestry. The objective of this thesis is to develop algorithms for processing airborne laser scanner data in order to: (1) extract DTMs in demanding forest conditions (complex terrain and low number of ground points) for applications in forestry; (2) estimate canopy base height (CBH) for forest fire behavior modeling; and (3) assess the robustness of LiDAR-based high-resolution biomass estimation models against different field plot designs. Here, the aim is to find out if field plot data gathered by professional foresters can be combined with field plot data gathered by professionally trained community foresters and used in LiDAR-based high-resolution biomass estimation modeling without affecting prediction performance. The question of interest in this case is whether or not the local forest communities can achieve the level technical proficiency required for accurate forest monitoring. The algorithms for extracting DTMs from LiDAR point clouds presented in this thesis address the challenges of extracting DTMs in low-ground-point situations and in complex terrain while the algorithm for CBH estimation addresses the challenge of variations in the distribution of points in the LiDAR point cloud caused by things like variations in tree species and season of data acquisition. These algorithms are adaptive (with respect to point cloud characteristics) and exhibit a high degree of tolerance to variations in the density and distribution of points in the LiDAR point cloud. Results of comparison with existing DTM extraction algorithms showed that DTM extraction algorithms proposed in this thesis performed better with respect to accuracy of estimating tree heights from airborne laser scanner data. On the other hand, the proposed DTM extraction algorithms, being mostly based on trend surface interpolation, can not retain small artifacts in the terrain (e.g., bumps, small hills and depressions). Therefore, the DTMs generated by these algorithms are only suitable for forestry applications where the primary objective is to estimate tree heights from normalized airborne laser scanner data. On the other hand, the algorithm for estimating CBH proposed in this thesis is based on the idea of moving voxel in which gaps (openings in the canopy) which act as fuel breaks are located and their height is estimated. Test results showed a slight improvement in CBH estimation accuracy over existing CBH estimation methods which are based on height percentiles in the airborne laser scanner data. However, being based on the idea of moving voxel, this algorithm has one main advantage over existing CBH estimation methods in the context of forest fire modeling: it has great potential in providing information about vertical fuel continuity. This information can be used to create vertical fuel continuity maps which can provide more realistic information on the risk of crown fires compared to CBH.

Development of military technology and its impact on the Finnish land warfare doctrine

Finnish Defence Studies is published under the auspices of the War College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the War College.

The impact of arms technology on military doctrines

Finnish Defence Studies is published under the auspices of the War College, and the contributions reflect the fields of research and teaching of the College. Finnish Defence Studies will occasionally feature documentation on Finnish Security Policy. Views expressed are those of the authors and do not necessarily imply endorsement by the War College.

Involving employees in six sigma

Six sigma is a quality improvement philosophy with systematic and formal approach. In order to successfully implement and utilize six sigma the basic disciplines of it should be adopted by the entire organization. Furthermore, employee involvement is crucial in six sigma implementation. This thesis addresses the challenges of long-lasting involvement in the case company. It focuses on gaps of involving six sigma trained employees, Black Belts. Theoretical framework of the thesis illustrates different factors influencing employee involvement. Influencing factors can be divided into ten categories: organizational culture, managerial commitment, leadership style, employee empowerment, employees’ perceptions, communication, training, goals, performance measurement and incentives. Factors and categories overlap and are related to each other. The framework provides holistic view of employee involvement in six sigma context but can be used also with other quality management philosophies. This thesis was conducted as a case study and written on an assignment to a power and automation technology company. Due to the nature of research problem, the data collection was conducted by interviewing case company personnel. In order to study involvement from employees’ point of view interview questions were designed to be open-ended and to allow the interviewees to tell freely about the phenomenon. This thesis provides empirical support on previous studies in organizational support, management commitment and employee empowerment. In addition, it indicates the importance of separate function for Black Belts in the organization. The gaps in Black Belt involvement can be categorized under two categories: Management driven gaps are related to management commitment, organizational structure and culture and information systems. Black Belt driven gaps are related to practice and effort of using six sigma. This thesis finds solutions for bridging these gaps in the case company by applying findings from literature research and suggestions given by the interviewees. For each gap, actions are suggested for bridging the discrepancy between current and desired situations. The thesis states that in order to embed six sigma in the organization the most crucial gaps, lack of management commitment, six sigma vision and possibilities to use six sigma, should be diminished.

Lean management implementation in Horizontal Technology Transfer projects

The importance of Technology Transfer activities of companies is underpinned by the changes in technological and economic environments. However, there is still a significant gap in defining possible ways for Technology Transfer projects effectiveness improvement. The Master’s Thesis overviews common problems faced by the companies in implementation of Technology Transfer projects and examines Lean management principles as possible way to improve its effectiveness. Based on the analysis of the relevant scientific literature and results of the survey, conducted among the firms of different types, the approach to Technology Transfer projects implementation with the use of Lean management principles is proposed. The approach serves to solve some of the important problems faced by the managers of Technology Transfer projects. It is envisaged that this approach can help to increase overall Technology Transfer projects’ effectiveness.

Involving employees in six sigma

Six sigma is a quality improvement philosophy with systematic and formal approach. In order to successfully implement and utilize six sigma the basic disciplines of it should be adopted by the entire organization. Furthermore, employee involvement is crucial in six sigma implementation. This thesis addresses the challenges of long-lasting involvement in the case company. It focuses on gaps of involving six sigma trained employees, Black Belts. Theoretical framework of the thesis illustrates different factors influencing employee involvement. Influencing factors can be divided into ten categories: organizational culture, managerial commitment, leadership style, employee empowerment, employees’ perceptions, communication, training, goals, performance measurement and incentives. Factors and categories overlap and are related to each other. The framework provides holistic view of employee involvement in six sigma context but can be used also with other quality management philosophies. This thesis was conducted as a case study and written on an assignment to a power and automation technology company. Due to the nature of research problem, the data collection was conducted by interviewing case company personnel. In order to study involvement from employees’ point of view interview questions were designed to be open-ended and to allow the interviewees to tell freely about the phenomenon. This thesis provides empirical support on previous studies in organizational support, management commitment and employee empowerment. In addition, it indicates the importance of separate function for Black Belts in the organization. The gaps in Black Belt involvement can be categorized under two categories: Management driven gaps are related to management commitment, organizational structure and culture and information systems. Black Belt driven gaps are related to practice and effort of using six sigma. This thesis finds solutions for bridging these gaps in the case company by applying findings from literature research and suggestions given by the interviewees. For each gap, actions are suggested for bridging the discrepancy between current and desired situations. The thesis states that in order to embed six sigma in the organization the most crucial gaps, lack of management commitment, six sigma vision and possibilities to use six sigma, should be diminished.

Catching up with competitiveness in emerging markets – An analysis of the role of the firm’s technology management strategies

Emerging markets have experienced rapid economic growth, and manufacturing firms have had to face the effects of globalisation. Some of the major emerging economies have been able to create a supportive business environment that fosters innovation, and China is a good example of a country that has been able to increase value-added investments. Conversely, when we look at Russia, another big emerging market, we witness a situation in which domestic firms struggle more with global competitiveness. Innovation has proven to be one of the most essential ingredients for firms aiming to grow and become more competitive. In emerging markets, the business environment sets many constraints for innovation. However, open strategic choices in new product development enable companies in emerging markets to expand their resource base and capability building. Networking and close inter-firm cooperation are essential in this regard. In this dissertation, I argue that technology transfer is one of the key tools for these companies to become internationally networked and to improve their competitiveness. It forces companies to reach outside the company and national borders, which in many cases, is a major challenge for firms in emerging markets. This dissertation focuses on how companies can catch up with competitiveness in emerging markets. The empirical studies included in the dissertation are based on analyses of survey data mainly of firms and their strategies in the Russian manufacturing industry. The dissertation contributes to the current strategic management literature by further investigating technology management strategies in manufacturing firms in emerging markets and the benefits of more open approaches to new product development and innovation.

Intellectual capital, knowledge management practices and firm performance

Researchers have widely recognised and accepted that firm performance is increasingly related to knowledge-based issues. Two separately developed literature streams, intellectual capital (IC) and knowledge management (KM), have been established as the key discussions related to knowledge-based competitive advantage of the firm. Intellectual capital has provided evidence on the strategic key intangible resources of the firm, which could be deployed to create competitive advantage. Knowledge management, in turn, has focused on the managerial processes and practices which can be used to leverage IC to create competitive advantage. Despite extensive literature on both issues, some notable research gaps remain to be closed. In effect, one major gap within the knowledge management research is the lack of understanding related to its influence on firm performance, while IC researchers have articulated a need to utilise more finegrained conceptual models to better understand the key strategic value-creating resources of the firm. In this dissertation, IC is regarded as the entire intellectual capacity, knowledge and competences of the firm that can be leveraged to achieve sustained competitive advantage. KM practices are defined as organisational and managerial activities that enable the firm to leverage its IC to create value. The objective of this dissertation is to answer the research question: “What is the relationship between intellectual capital, knowledge management practices and firm performance?” Five publications have addressed the research question using different approaches. The first two publications were systematic literature reviews of the extant empirical IC and KM research, which established the current state of understanding regarding the relationship between IC, KM practices and firm performance. Publications III and IV were empirical research articles that assessed the developed conceptual model related to IC, KM practices and firm performance. Finally, Publication V was among the first research papers to merge IC and KM disciplines in order to find out which configurations could yield organisational benefits in terms of innovation and market performance outcomes.