Patterns in Estonian bogs as depicted in color kite aerial photographs

Tiivistelmä: Viron soiden pinnanmuodot värillisten leijailmakuvien valossa

Change detection in boreal forests using bi-temporal aerial photographs

[Abstract]

Landsat TM imagery and high altitude aerial photographs in estimation of forest characteristics

Abstract

University jubilees : a new research area in the history of universities

Teema: Yliopistohistoria.

Automated, adaptive methods for forest inventory

Forest inventories are used to estimate forest characteristics and the condition of forest for many different applications: operational tree logging for forest industry, forest health state estimation, carbon balance estimation, land-cover and land use analysis in order to avoid forest degradation etc. Recent inventory methods are strongly based on remote sensing data combined with field sample measurements, which are used to define estimates covering the whole area of interest. Remote sensing data from satellites, aerial photographs or aerial laser scannings are used, depending on the scale of inventory. To be applicable in operational use, forest inventory methods need to be easily adjusted to local conditions of the study area at hand. All the data handling and parameter tuning should be objective and automated as much as possible. The methods also need to be robust when applied to different forest types. Since there generally are no extensive direct physical models connecting the remote sensing data from different sources to the forest parameters that are estimated, mathematical estimation models are of "black-box" type, connecting the independent auxiliary data to dependent response data with linear or nonlinear arbitrary models. To avoid redundant complexity and over-fitting of the model, which is based on up to hundreds of possibly collinear variables extracted from the auxiliary data, variable selection is needed. To connect the auxiliary data to the inventory parameters that are estimated, field work must be performed. In larger study areas with dense forests, field work is expensive, and should therefore be minimized. To get cost-efficient inventories, field work could partly be replaced with information from formerly measured sites, databases. The work in this thesis is devoted to the development of automated, adaptive computation methods for aerial forest inventory. The mathematical model parameter definition steps are automated, and the cost-efficiency is improved by setting up a procedure that utilizes databases in the estimation of new area characteristics.

Effect of data acquisition accuracy on timing of stand harvests and expected net present value

Abstract

Remote sensing for three-dimensional modelling of hydromorphology

Successful management of rivers requires an understanding of the fluvial processes that govern them. This, in turn cannot be achieved without a means of quantifying their geomorphology and hydrology and the spatio-temporal interactions between them, that is, their hydromorphology. For a long time, it has been laborious and time-consuming to measure river topography, especially in the submerged part of the channel. The measurement of the flow field has been challenging as well, and hence, such measurements have long been sparse in natural environments. Technological advancements in the field of remote sensing in the recent years have opened up new possibilities for capturing synoptic information on river environments. This thesis presents new developments in fluvial remote sensing of both topography and water flow. A set of close-range remote sensing methods is employed to eventually construct a high-resolution unified empirical hydromorphological model, that is, river channel and floodplain topography and three-dimensional areal flow field. Empirical as well as hydraulic theory-based optical remote sensing methods are tested and evaluated using normal colour aerial photographs and sonar calibration and reference measurements on a rocky-bed sub-Arctic river. The empirical optical bathymetry model is developed further by the introduction of a deep-water radiance parameter estimation algorithm that extends the field of application of the model to shallow streams. The effect of this parameter on the model is also assessed in a study of a sandy-bed sub-Arctic river using close-range high-resolution aerial photography, presenting one of the first examples of fluvial bathymetry modelling from unmanned aerial vehicles (UAV). Further close-range remote sensing methods are added to complete the topography integrating the river bed with the floodplain to create a seamless high-resolution topography. Boat- cart- and backpack-based mobile laser scanning (MLS) are used to measure the topography of the dry part of the channel at a high resolution and accuracy. Multitemporal MLS is evaluated along with UAV-based photogrammetry against terrestrial laser scanning reference data and merged with UAV-based bathymetry to create a two-year series of seamless digital terrain models. These allow the evaluation of the methodology for conducting high-resolution change analysis of the entire channel. The remote sensing based model of hydromorphology is completed by a new methodology for mapping the flow field in 3D. An acoustic Doppler current profiler (ADCP) is deployed on a remote-controlled boat with a survey-grade global navigation satellite system (GNSS) receiver, allowing the positioning of the areally sampled 3D flow vectors in 3D space as a point cloud and its interpolation into a 3D matrix allows a quantitative volumetric flow analysis. Multitemporal areal 3D flow field data show the evolution of the flow field during a snow-melt flood event. The combination of the underwater and dry topography with the flow field yields a compete model of river hydromorphology at the reach scale.

Vahdon keskustan sähkönjakeluverkon saneeraussuunnitelma

Vuoden 2013 sähkömarkkinalain uudistuksen myötä verkonhaltijoiden tulee varautua suurhäiriötilanteisiin aiempaa tehokkaammin. Lain toimitusvarmuusvaatimusten täyttäminen vaatii sähköverkkoyhtiöiltä entistä suurempia investointimääriä nopeassa aikataulussa. Caruna Oy investoi vuosittain noin 100 miljoonaa euroa säävarman verkon kehittämiseen ja rakentamiseen. Eltel Networks Oy toimii Carunan pääurakoitsijana useissa saneerausprojekteissa muun muassa Satakunnan ja Lounais-Suomen alueilla. Diplomityö tehtiin Eltel Networks Oy:lle ja tavoitteena oli laatia saneeraussuunnitelma Carunan Vahdon keskustan sähkönjakeluverkkoon sekä kehittää Eltelin suunnitteluprosessia Vahdon case-projektin avulla. Nykyverkon ongelmakohdiksi osoittautuivat käyttöikänsä päähän tulleet tai lähivuosina tulevat verkkokomponentit, verkon alhainen nykykäyttöarvo sekä korkeat keskeytyskustannukset. Suunnitellun verkon nykykäyttöarvo yli kaksinkertaistui nykyverkon arvosta, verkon keski-ikä pieneni seitsemällä vuodella ja keskeytyskustannukset pienenivät yli puolella. Case-projektin aikana suunnitteluprosessissa ilmeni useita kehityskohteita. Esimerkiksi kartta-aineistoja ja ilmakuvia kannattaisi hyödyntää monipuolisemmin suunnittelussa ja ohjemuutosten täytäntöönpanoajankohta tulisi määrittää ohjeen tärkeyden mukaan. Vierekkäisille suunnitteluprojekteille kannattaa hakea jatkossa esimerkiksi yhteiset ELY- ja AVI-luvat erillisten lupahakemusten sijaan, koska se vähentää suunnittelijoiden työmäärää ja nopeuttaa hakuprosessia. Suunnittelijoiden yhteistyötä kannattaa laajentaa niin lupahakemusten, sopimusten laadinnan kuin koko prosessin kattavaksi, koska yhteistyö vähentää virheiden määrää ja nopeuttaa suunnitteluprosessia. Yhteistyöllä suunnittelu voidaan toteuttaa nopeammin laadusta tinkimättä.

Empirical errors of small area estimates from the multisource National Forest Inventory in Eastern Finland

Abstract