Within-plot subsampling of trees for assessment in progeny trials of Scots pine

Summary

Calculation and comparison of different permanent sample plot types

Summary

Cost-plus-loss analyses of forest inventory strategies based on kNN-assigned reference sample plot data

Abstract

Spatial and Spectral Separability of Grasslands in the inner Turku Archipelago using Landsat Thematic Mapper Satellite Imagery

The present study investigates the spatial and spectral discrimination potential for grassland patches in the inner Turku Archipelago using Landsat Thematic Mapper satellite imagery. The spatial discrimination potential was computed through overlay analysis using official grassland parcel data and a hypothetical 30 m resolution satellite image capturing the site. It found that Landsat TM imagery’s ability to retrieve pure or near-pure pixels (90% purity or more) from grassland patches smaller than 1 hectare was limited to 13% success, compared to 52% success when upscaling the resolution to 10 x 10 m pixel size. Additionally, the perimeter/area patch metric is proposed as a predictor for the suitability of the spatial resolution of input imagery. Regression analysis showed that there is a strong negative correlation between a patch’s perimeter/area ratio and its pure pixel potential. The study goes on to characterise the spectral response and discrimination potential for the five main grassland types occurring in the study area: recreational grassland, traditional pasture, modern pasture, fodder production grassland and overgrown grassland. This was done through the construction of spectral response curves, a coincident spectral plot and a contingency matrix as well as by calculating the transformed divergence for the spectral signatures, all based on training samples from the TM imagery. Substantial differences in spectral discrimination potential between imagery from the beginning of the growing season and the middle of summer were found. This is because the spectral responses for these five grassland types converge as the peak of the growing season draws nearer. Recreational grassland shows a consistent discrimination advantage over other grassland types, whereas modern pasture is most easily confused. Traditional pasture land, perhaps the most biologically valuable grassland type, can be spectrally discriminated from other grassland types with satisfactory success rates provided early growing season imagery is used.

Time Varying Conditional Correlation Between Stock And Bond Returns: Evidence From CIVETS Nations

This thesis estimates long-run time variant conditional correlation between stock and bond returns of CIVETS (Colombia, Indonesia, Vietnam, Egypt, Turkey, and South Africa) nations. Further, aims to analyse the presence of asymmetric volatility effect in both asset returns, as well as, obverses increment or decrement in conditional correlation during pre-crisis and crisis period, which lead to make a reliable diversification decision. The Constant Conditional Correlation (CCC) GARCH model of Bollerslev (1990), the Dynamic Conditional Correlation (DCC) GARCH model (Engle 2002), and the Asymmetric Dynamic Conditional Correlation (ADCC) GARCH model of Cappiello, Engle, and Sheppard (2006) were implemented in the study. The analyses present strong evidence of time-varying conditional correlation in CIVETS markets, excluding Vietnam, during 2005-2013. In addition, negative innovation effects were found in both conditional variance and correlation of the asset returns. The results of this study recommend investors to include financial assets from these markets in portfolios, in order to obtain better stock-bond diversification benefits, especially during high volatility periods.

Kartongin fysikaalisten ominaisuuksien vaikutus muovautuvuuteen

Työn tavoitteena oli kehittää menetelmä, jolla voitaisiin arvioida veto-ominaisuuksien avulla konvertointikoneen prässäysnopeuden ja muottien lämpötilan vaikutuksia kartongin muovautuvuuteen. Kirjallisuusosassa käsiteltiin kartongin muovautuvuuteen vaikuttavia ominaisuuksia sekä vetolujuuteen vaikuttavia tekijöitä. Lisäksi käsiteltiin kosteuden vaikutusta muovautuvuuteen sekä esiteltiin vuokakonvertointiprosessin periaate ja muovin sekä kartongin käyttäytymisen erot konvertointiprosessissa. Kokeellinen osa jakaantui kolmeen osaan. Esikokeissa tutkittiin laboratoriomittauksilla vetonopeuden ja kosteuden muutosten vaikutusta erilaisten kaupallisten kartonkimateriaalien vetolujuuteen ja murtovenymään. Tulosten perusteella valittiin prässäysnopeudet ja kosteustaso 2D- testauslaitteella suoritettuihin esi-pilot-mittakaavan kokeisiin sekä varsinaiseen pilot-koeajoon. Pilot-koeajossa pyrittiin arvioimaan prässäysnopeuden ja muottien lämpötilan vaikutuksia muovautuvuuteen vetolujuusarvojen avulla. Prässäysnopeudella ja vetolujuuslaitteen nopeudella ei havaittu yhteneväisyyksiä, jotta voitaisiin arvioida kartongin muovautuvuutta. Muovautuvuutta voidaan kuitenkin arvioida epäonnistuneisuusluvulla, jonka laskentapa kehitettiin työn aikana. Epäonnistuneisuusluku kuvaa hyvin kartongin muovautuvuutta ja on menetelmänä helppo, mutta sen heikkoutena on repeämien mittaamisen aiheuttama epätarkkuus. Esikokeissa havaittiin myös muovipäällysteiden veto-ominaisuuksien vastaavan kartongin ominaisuuksia 65 %:n suhteellisessa kosteudessa, jonka valittiin siten olevan optimaalinen olosuhde pilot-mittakaavan koeajoihin.