65 resultados para Timber.


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The aim of the thesis was to find the effects of World Trade Organization and economic integration on the wood sourcing process from Russia to Finland and to the European Union. Also, the fo reign direct investments to Russian forest industry are studied within the WTO and Economic integration framework. Qualitative interviews were carried out as primary data (total of 5 interviews). Research studies and articles regarding the same subject were used as secondary data. Results show that companies may increase their volumes of imported timber from Russia due to the reduction of custom tariffs. Russian companies are becoming more productive, but there are still several problems with legislation, infrastructure, availability and harvesting profitability in some areas. These suggest that sourcing process may not be profitable in the future. The Russian forest industry sector will not gain significant foreign direct investments in the recent years because of the infrastructure and overall atmosphere of investments. Forest industry is not seen as profitable enough. The demand for cellulose and paper in Russia is not increasing fast enough and the cost inflation is cutting the profits made from producing in Russia.

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LiDAR is an advanced remote sensing technology with many applications, including forest inventory. The most common type is ALS (airborne laser scanning). The method is successfully utilized in many developed markets, where it is replacing traditional forest inventory methods. However, it is innovative for Russian market, where traditional field inventory dominates. ArboLiDAR is a forest inventory solution that engages LiDAR, color infrared imagery, GPS ground control plots and field sample plots, developed by Arbonaut Ltd. This study is an industrial market research for LiDAR technology in Russia focused on customer needs. Russian forestry market is very attractive, because of large growing stock volumes. It underwent drastic changes in 2006, but it is still in transitional stage. There are several types of forest inventory, both with public and private funding. Private forestry enterprises basically need forest inventory in two cases – while making coupe demarcation before timber harvesting and as a part of forest management planning, that is supposed to be done every ten years on the whole leased territory. The study covered 14 companies in total that include private forestry companies with timber harvesting activities, private forest inventory providers, state subordinate companies and forestry software developer. The research strategy is multiple case studies with semi-structured interviews as the main data collection technique. The study focuses on North-West Russia, as it is the most developed Russian region in forestry. The research applies the Voice of the Customer (VOC) concept to elicit customer needs of Russian forestry actors and discovers how these needs are met. It studies forest inventory methods currently applied in Russia and proposes the model of method comparison, based on Multi-criteria decision making (MCDM) approach, mainly on Analytical Hierarchy Process (AHP). Required product attributes are classified in accordance with Kano model. The answer about suitability of LiDAR technology is ambiguous, since many details should be taken into account.

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X-ray computed log tomography has always been applied for qualitative reconstructions. In most cases, a series of consecutive slices of the timber are scanned to estimate the 3D image reconstruction of the entire log. However, the unexpected movement of the timber under study influences the quality of image reconstruction since the position and orientation of some scanned slices can be incorrectly estimated. In addition, the reconstruction time remains a significant challenge for practical applications. The present study investigates the possibility to employ modern physics engines for the problem of estimating the position of a moving rigid body and its scanned slices which are subject to X-ray computed tomography. The current work includes implementations of the extended Kalman filter and an algebraic reconstruction method for fan-bean computer tomography. In addition, modern techniques such as NVidia PhysX and CUDA are used in current study. As the result, it is numerically shown that it is possible to apply the extended Kalman filter together with a real-time physics engine, known as PhysX, in order to determine the position of a moving object. It is shown that the position of the rigid body can be determined based only on reconstructions of its slices. However, the simulation of the body movement sometimes is subject to an error during Kalman filter employment as PhysX is not always able to continue simulating the movement properly because of incorrect state estimation.

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Suomen tavoitteena on nostaa metsähakkeen käyttö 25 TWh:iin vuoteen 2020 mennessä. Tavoitteen saavuttaminen edellyttää, että metsähakkeen käyttö ja tuotanto on kannatta-vuudeltaan houkuttelevaa. Suuri osa Suomen energiapuusta saadaan ainespuun hakkuun yhteydessä kerättävistä hakkuutähteistä, josta valmistetaan haketta lämpölaitosten tarpee-seen. Tämän työn tavoitteena oli tarkastella suomalaisen metsäteollisuusyrityksen metsähak-keen tuottamiseen liittyvää arvoketjua ja löytää sieltä ne prosessin osat, joissa arvoa syn-tyy eniten sekä ne prosessin osat, joissa arvoa mahdollisesti menetetään. Arvoketjun tarkastelun lisäksi työn tavoitteena oli selvittää mahdollisuuksia latvusmassa-hakkeen kannattavuuden parantamiseen case yrityksessä. Arvoketju analyysiin perustuen tutkimuksessa voitiin todeta suurimman metsäenergian arvon syntyvän hakkuutähteen kuivumisen seurauksena. Liian pitkä varastointiaika sitä vastoin aiheuttaa kuiva-ainetappiosta johtuvaa arvon menetystä hankintaketjussa. Suurin vaikutus hakkuutähdehakkeen kannattavuuteen on hakkeen alhaisella kosteudella. Tutkimuksessa todettiin lisäksi kaukokuljetuskustannusten vaikuttavan erityisen suuresti haketuotannon kannattavuuteen.

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Tropical forests have decreased drastically especially in the Peruvian Amazon. In Peru deforestation is caused especially by migrant people; building of houses and infrastructure, clearing land for agricultural purposes and illegal logging and mining. Deforestation results in hindering ecosystem vitality, boosting climate change and decreasing livelihood possibilities. As a counterpoint to cutting down trees there is reforestation, which refers to re-establishment of forest cover. Deforestation and reforestation can be analysed in the light of Forest Transition theory. According to it, due to economic growth, the amount forest cover first diminishes but then starts to increase as the economy in general strengthens. Thus, the research framework is set to this theory. In this study the focus is on analysing socioeconomically sustainable reforestation possibilities in the community of Tingana, Peru. It is situated in a municipal conservation area around which deforestation has been heavy. Land cover change is analysed from LandsatTM satellite images covering a 15 year time period, 1995–2010, in the surroundings of the study area. Semi-structured interviews have been done with a sample size of 25 people and shed light on the perspectives on forests, reforestation and economical activities. The synthesis created from the two methods gives information about the possibilities to enforce reforestation in Tingana and the phase of forest transition in the area. The results show that forest cover has decreased around the surroundings of Tingana leaving the conservation area isolated from larger forest areas. Knowing that forest cover has also decreased inside the conservation area due to agricultural expansion it is certain that fragmentation harms biodiversity causing changes in local climate, which can have knock-on effects for farming and local livelihoods. Therefore reforestation is welcomed when it ensures both conservation and financial benefits and when carried out on locals’ terms. Regarding conservation and incomes the best option would be to plant native timber species together with fruit production species to create agroforestry systems. Economically the community should aim towards an economy that relies on ecotourism as it already practiced in the area. Reforestation could increase ecotourism, which then could in turn increase reforestation via revenues. Regarding forest transition it is likely that forest re-establishment will occur if reforestation along with ecotourism is implemented on long time scale.