24 research outputs found

    Mapping arctic tundra vegetation communities using field spectroscopy and multispectral satellite data in North Alaska, USA

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    The Arctic is currently undergoing intense changes in climate; vegetation composition and productivity are expected to respond to such changes. To understand the impacts of climate change on the function of Arctic tundra ecosystems within the global carbon cycle, it is crucial to improve the understanding of vegetation distribution and heterogeneity at multiple scales. Information detailing the fine-scale spatial distribution of tundra communities provided by high resolution vegetation mapping, is needed to understand the relative contributions of and relationships between single vegetation community measurements of greenhouse gas fluxes (e.g., ~1 m chamber flux) and those encompassing multiple vegetation communities (e.g., ~300 m eddy covariance measurements). The objectives of this study were: (1) to determine whether dominant Arctic tundra vegetation communities found in different locations are spectrally distinct and distinguishable using field spectroscopy methods; and (2) to test which combination of raw reflectance and vegetation indices retrieved from field and satellite data resulted in accurate vegetation maps and whether these were transferable across locations to develop a systematic method to map dominant vegetation communities within larger eddy covariance tower footprints distributed along a 300 km transect in northern Alaska. We showed vegetation community separability primarily in the 450-510 nm, 630-690 nm and 705-745 nm regions of the spectrum with the field spectroscopy data. This is line with the different traits of these arctic tundra communities, with the drier, often non-vascular plant dominated communities having much higher reflectance in the 450-510 nm and 630-690 nm regions due to the lack of photosynthetic material, whereas the low reflectance values of the vascular plant dominated communities highlight the strong light absorption found here. High classification accuracies of 92% to 96% were achieved using linear discriminant analysis with raw and rescaled spectroscopy reflectance data and derived vegetation indices. However, lower classification accuracies (~70%) resulted when using the coarser 2.0 m WorldView-2 data inputs. The results from this study suggest that tundra vegetation communities are separable using plot-level spectroscopy with hand-held sensors. These results also show that tundra vegetation mapping can be scaled from the plot level (<1 m) to patch level (<500 m) using spectroscopy data rescaled to match the wavebands of the multispectral satellite remote sensing. We find that developing a consistent method for classification of vegetation communities across the flux tower sites is a challenging process, given thespatial variability in vegetation communities and the need for detailed vegetation survey data for training and validating classification algorithms. This study highlights the benefits of using fine-scale field spectroscopy measurements to obtain tundra vegetation classifications for landscape analyses and use in carbon flux scaling studies. Improved understanding of tundra vegetation distributions will also provide necessary insight into the ecological processes driving plant community assemblages in Arctic environments

    Efficient Quantum Computation using Coherent States

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    Universal quantum computation using optical coherent states is studied. A teleportation scheme for a coherent-state qubit is developed and applied to gate operations. This scheme is shown to be robust to detection inefficiency.Comment: 6 pages, 5 figures, extended and modified (in print, PRA

    ‘Between Authenticity and Pretension’: Parents', Pupils' and Young Professionals' Negotiations of Minority Ethnic Middle-Class Identity

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    Despite an increasing sociological interest in the middle classes and their educational practices, research has largely concentrated on the white middle classes. This paper considers the case of the minority ethnic (ME) middle classes through empirical data from a small, exploratory study conducted in England with 36 minority ethnic, middle-class individuals (parents, pupils and young professionals) from a range of ME backgrounds. It is argued that participants experienced ME middle-class identity as a profoundly conflictual and precarious space, negotiated through a matrix of relational classed and racialized positionings. Authentic middle-classness remains the preserve of white society due to racial inequalities and the dominance of whiteness as the popularly legitimated marker of middle classness. Moreover, attempts to define an acceptable, legitimate and principled ME middle-class identity are compromised by the discursive threats of inauthenticity, pretension and misrecognition

    Quantum Fisher information for a single qubit system

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    The Fisher information is used for quantum state estimation and considered as a physical resource associated with various quantities. The concept of Fisher information in terms of the atomic density operator is introduced. We give the correlation between the Fisher information and quantum entanglement during the time evolution for a trapped ion in laser field. The effect of the initial state setting on the classical Fisher information and quantum Fisher information is examined. The results show that the Fisher information is efficacious tool to study single qubit dynamics as an indicator of entanglement under certain conditions. Our observations may have important implications in exploiting this quantity in quantum information processing and transmission
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