Remote sensing of snow : Factors influencing seasonal snow mapping in boreal forest region

Monitoring of snow cover in northern hemisphere is highly important for climate research and for operational activities, such as those related to hydrology and weather forecasting. The appearance and melting of seasonal snow cover dominate the hydrological and climatic patterns in the boreal and arctic regions. Spatial variability (in particular during the spring and autumn transition months) and long-term trends in global snow cover distribution are strongly interconnected to changes in Earth System (ES). Satellite data based estimates on snow cover extent are utilized e.g. in near-real-time hydrological forecasting, water resource management and to construct long-term Climate Data Records (CDRs) essential for climate research. Information on the quantitative reliability of snow cover monitoring is urgently needed by these different applications as the usefulness of satellite data based results is strongly dependent on the quality of the interpretation. This doctoral dissertation investigates the factors affecting the reliability of snow cover monitoring using optical satellite data and focuses on boreal regions (zone characterized by seasonal snow cover). Based on the analysis of different factors relevant to snow mapping performance, the work introduces a methodology to assess the uncertainty of snow cover extent estimates, focusing on the retrieval of fractional snow cover (within a pixel) during the spring melt period. The results demonstrate that optical remote sensing is well suited for determining snow extent in the melting season and that the characterizing the uncertainty in snow estimates facilitates the improvement of the snow mapping algorithms. The overall message is that using a versatile accuracy analysis it is possible to develop uncertainty estimates for the optical remote sensing of snow cover, which is a considerable advance in remote sensing. The results of this work can also be utilized in the development of other interpretation algorithms. This thesis consists of five articles predominantly dealing with quantitative data analysis, while the summary chapter synthesizes the results mainly in the algorithm accuracy point of view. The first four articles determine the reflectance characteristics essential for the forward and inverse modeling of boreal landscapes (forward model describes the observations as a function of the investigated variable). The effects of snow, snow-free ground and boreal forest canopy on the observed satellite scene reflectance are specified. The effects of all the error components are clarified in the fifth article and a novel experimental method to analyze and quantify the amount of uncertainty is presented. The five articles employ different remote sensing and ground truth data sets measured and/or analyzed for this research, covering the region of Finland and also applied to boreal forest region in northern Europe

Semi-empirical modeling of the scene reflectance of snow-covered boreal forest : Validation with airborne spectrometer and LIDAR observations

This work aims at the development and validation of a zeroth order radiative transfer (RT) approach to describe the visible band (555 nm) reflectance of conifer-dominated boreal forest for the needs of remote sensing of snow. This is accomplished by applying airborne and mast-borne spectrometer data sets together with high-resolution information on forest canopy characteristics. In case of aerial spectrometer observations, tree characteristics determined from airborne LIDAR observations are applied to quantify the effect of forest canopy on scene reflectance. The results indicate that a simple RT model is feasible to describe extinction and reflectance properties of both homogeneous and heterogeneous forest scenes (corresponding to varying scales of satellite data footprints and varying structures of forest canopies). The obtained results also justify the application of apparent forest canopy transmissivity to describe the influence of forest to reflectance, as is done e.g. in the SCAmod method for the continental scale monitoring of fractional snow cover (FSC) from optical satellite data. Additionally, the feasibility of the zeroth order RT approach is compared with the use of linear mixing model of scene reflectance. Results suggest that the nonlinear RT approach describes the scene reflectance of a snow-covered boreal forest more realistically than the linear mixing model (in case when shadows on tree crowns and surface are not modeled separately, which is a relevant suggestion when considering the use of models for large scale snow mapping applications). (C) 2014 The Authors. Published by Elsevier Inc.Peer reviewe

Kouluhyvinvointi syntyy vain yhteistyöllä

Lapsi- ja perhepalveluiden muutosohjelman (LAPE) mukaan hyvinvoiva lapsi oppii ja kasvaa. Edessä olevan kouluvuoden alussa onkin hyvä pysähtyä miettimään mitä kouluhyvinvointi on ja miten voimme edistää sitä yhdessä.</p

Preparing students for interprofessional collaboration in services for children with special needs in Finland: A document analysis

IntroductionMultiple types of support and expertise are needed for the benefit of children with special needs, with the collaboration between psychologists, social workers and special education teachers playing a key role. Here, we studied the extent of their academic training in interprofessional collaboration.MethodsA document analysis of 24 curricula with 1699 courses from eight Finnish universities was applied. The courses focused on interprofessional collaboration were selected for the analysis. The course information was analysed with descriptive statistical methods, content analysis and qualitative quantification.ResultsA total of 38 courses focused on interprofessional collaboration. The courses were often mandatory; however, in psychology, they were often optional. The content of the courses included the basis of interprofessional collaboration, collaboration skills, and service systems and network familiarity. Two courses were common for the social work, psychology and special education programmes. Various learning methods were used, with five courses being based on independent online self-study.DiscussionConsidering the need for studies focusing on interprofessional collaboration, it was contradictory that these were largely maintained within one discipline and some were realised as independent self-studies. The variability of the curricula may reflect on students’ professional skills. For the collaboration of professionals working with children with special needs, it is also needed to deepen familiarity with cross-sectional services and the school system.</p

The effect of boreal forest canopy to reflectance of snow covered terrain based on airborne imaging spectrometer observations

Volume: 27Peer reviewe

Reflectance variation in boreal landscape during the snow melting period using airborne imaging spectroscopy

We aim a better understanding of the effect of spring-time snow melt on the remotely sensed scene reflectance by using an extensive amount of optical spectral data obtained from an airborne hyperspectral campaign in Northern Finland. We investigate the behaviour of thin snow reflectance for different land cover types, such as open areas, boreal forests and treeless fells. Our results not only confirm the generally known fact that the reflectance of a melting thin snow layer is considerably lower than that of a thick snow layer, but we also present analyses of the reflectance variation over different land covers and in boreal forests as a function of canopy coverage. According to common knowledge, the highly variating reflectance spectra of partially transparent, most likely also contaminated thin snow pack weakens the performance of snow detection algorithms, in particular in the mapping of Fractional Snow Cover (FSC) during the end of the melting period. The obtained results directly support further development of the SCAmod algorithm for FSC retrieval, and can be likewise applied to develop other algorithms for optical satellite data (e.g. spectral unmixing methods), and to perform accuracy assessments for snow detection algorithms. A useful part of this work is the investigation of the competence of Normalized Difference Snow Index (NDSI) in snow detection in late spring, since it is widely used in snow mapping. We conclude, based on the spectral data analysis, that the NDSI-based snow mapping is more accurate in open areas than in forests. However, at the very end of the snow melting period the behavior of the NDSI becomes more unstable and unpredictable in non-forests with shallow snow, increasing the inaccuracy also in non-forested areas. For instance in peatbogs covered by melting snow layer (snow depth <30 cm) the mean NDSI-0.6 was observed, having coefficient of variation as high as 70%, whereas for deeper snow packs the mean NDSI shows positive values.peerReviewe

Complete Atrioventricular Septal Defect : Evolution of Results in a Single Center During 50 Years

Background. Operative mortality after complete atrioventricular septal defect (cAVSD) repair has improved vastly. Less improvement has been demonstrated regarding late mortality and reoperation rates, however. There is evident lack of comprehensive population-based studies analyzing the history and progress of the ever-changing operative results. Methods. This is a 5-million population-based retrospective study of consecutive 388 cAVSD patients operated in Finland between 1962 and 2014. Data were collected using Children's Cardiac Surgical Registry of Children's Hospital at the Helsinki University Hospital, Finland. Mortality data and reoperation rates were analyzed on a decade-by-decade basis. Results. During the early era, overall mortality was 17.4%, operative mortality constituting 10.9%. The operative results have improved significantly over the decades, and eventually, the last decade showed no mortality. A total of 23 late deaths occurred; of these, 20 were directly heart-related. Half of the late mortality occurred during the first postoperative year. The only significant risk factor for overall mortality was an earlier decade of operation (p <0.001). Reoperation rates have not decreased but slightly increased over decades (p = 0.621), and reoperations have been performed mainly during the first year after the primary operation. Actuarial freedom from left side atrioventricular valve reoperation at 15 years was 90.9%. Conclusions. There has been an outstanding improvement in surgical results through the years even though the general operative approach has remained the same. Rates of reoperation have not been declining, but the reoperations are dated to early childhood years. The improvement in results has been ongoing. (C) 2019 by The Society of Thoracic SurgeonsPeer reviewe

Monialaisen koulutuksen hyödyt monin verroin panoksia suuremmat

Sosiaali-, terveys- sekä kasvatus- ja opetusalojen työpaikoilla tehdään paljon moniammatillista yhteistyötä palvelujen piirissä olevien henkilöiden terveyden, hyvinvoinnin, toimintakyvyn ja oppimisen edistämiseksi. Moniammatillisen osaamisen opetus on kuitenkin näiden koulutusalojen kesken toistaiseksi hyvin vähäistä. Turun korkeakoulujen yhdentoista koulutusalan yhteistyönä toteuttaman Moniammatillinen osaaminen hoidossa, kuntoutuksessa ja opetuksessa (Monelle) -opintojakson tavoitteena on asiakkaan tarpeista lähtevän moniammatillisen yhteistyön oppiminen. Monelle on monialaisuutensa osalta laajimpia opetuskokonaisuuksia Suomessa ja sen toteuttaminen vaatii jatkuvaa kehitystyötä toimijoiden kesken. Tässä artikkelissa kuvataan Monellen sisältöjä ja toteutustapoja sekä pohditaan opintojakson kehittämistä monialaisen koulutuksen ja sen järjestämisen haasteiden näkökulmasta. Lähestymme korkeakoulujen ja toimijoiden välistä yhteistyötä käsitteellä monialaisuus, ja Monelle-opintojaksolla oppimista ja toimimista käsitteellä moniammatillisuus.</p

Glyphosate-based herbicide has soil-mediated effects on potato glycoalkaloids and oxidative status of a potato pest

Glyphosate is the most used herbicide worldwide, targeting physiological pathways in plants. Recent studies have shown that glyphosate can also cause toxic effects in animals. We investigated the glyphosate-based herbicide (GBH)-induced changes in potato (Solanum tuberosum) plant chemistry and the effects of a GBH on the survival rate and oxidative status of the Colorado potato beetle (Leptinotarsa decemlineata). The beetles were reared on potato plants grown in pots containing soil treated with a GBH (Roundup Gold, 450 g/l) or untreated soil (water control). The 2nd instar larvae were introduced to the potato plants and then collected in 2 phases: as 4th instar larvae and as adults. The main glycoalkaloids of the potato plants, α-solanine and α-chaconine, were measured twice during the experiment. The α-solanine was reduced in potato plants grown in GBH-treated soil, which can be detrimental to plant defenses against herbivores. GBH treatment had no effect on the survival rate or body mass of the larvae or the adult beetles. In the larvae, total glutathione (tGSH) concentration and the enzyme activity of catalase (CAT), superoxide dismutase, and glutathione-S-transferase were increased in the GBH treatment group. In the adult beetles, CAT activity and tGSH levels were affected by the interactive effect of GBH treatment and the body mass. To conclude, environmentally relevant concentrations of a GBH can affect the potato plant’s glycoalkaloid concentrations, but are not likely to directly affect the survival rate of the Colorado potato beetle, but instead, modify the antioxidant defense of the beetles via diet.</p