Arctic SDI catalogue
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The compilation represents publicly available reports of geochronological information for Canada. This includes federal, provincial and territorial government publications and reports, university theses, books and journals. Current coverage is limited to those areas that have been the target of recent past compilation efforts, with other areas and updates being included as they become ready. Users should be aware that the compilation may not include all available data for a given area. Every effort is made to report the ages without reinterpreting the original authors' intent. However, care has also been taken to highlight the salient features of the data by which the end-user can make initial judgment on the data robustness. Users are cautioned that because of space limitations and the necessary summarization of often complex datasets, that the original publication should be consulted to verify age interpretations and their rationale. Data may be extracted by the user in tab-delimited text format.
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Projektet Geomorfologisk kartering i fjällen var en översiktlig inventering och värdering av landformer och områden i fjällregionen. Under perioden 1975-1983 producerades 17 stycken rapporter med tillhörande kartor. Rapporterna beskriver området och dess terrängformer. Det finns även naturvärdesbedömningar och utpekande av geomorfologiskt värdefulla områden. Rapporterna innehåller en hel del bilder och illustrationer. Karteringen är i huvudsak baserad på flygbildstolkning (analog hantering) av infraröda flygbilder i skala 1:60 000. Materialen kompletterades med information från tillgänglig litteratur och fältkontroller. Fältkontrollerna koncenterades till svårklassificerade eller intresseväckande objekt men innefattade även stickprovskontroller. De data som är nedladdningsbara via denna länk är de geomorfologiska kartblad som finns som bilaga till varje rapport. Kartorna är scannade och georektifierade till RT90 2,5gV. För optimalt utnyttjande av materialet bör rapporterna studeras. Rapporterna finns endast i analog form. Rapport och författare: Geomorfologiska kartbladet 27G Sulitelma, Ann-Cathrine Ulfstedt Geomorfologiska kartbladet 28 H SAREK, Olle Melander Geomorfologiska kartbladet 30 J Rensjön, Olle Melander Geomorfologiska kartbladet 19 D Åre, Ingmar Borgström Geomorfologiska kartbladet 21 E Håkafot, Ann-Cathrine Ulfstedt Geomorfologiska kartbladet 18 C Sylarna, Ingmar Borgström Geomorfologiska kartbladet 28 G Virihaure, Olle Melander Geomorfologiska kartbladet 18 D Storsjö, Ingmar Borgström Geomorfologiska kartbladet 29 J Kiruna, Olle Melander Geomorfologiska kartbladet 25 G Ammarnäs, Ann-Cathrine Geomorfologiska kartbladet 17C Funäsdalen, Ingmar Borgström, Leif Geomorfologiska kartbladet 27 H Kvikkjokk, Ann-Cathrine Ulfstedt Geomorfologiska kartbladet 19 C Storlien, Ingmar Borgström Geomorfologiska kartbladet 29 I Kebnekaise, Olle Melander Geomorfologiska kartbladet 28 I Stora Sjöfallet, Gunnar Hoppe, Olle Melander Geomorfologiska kartbladet 20 C Skalstugan 20 D Kolåsen 21 D, Ingmar Borgström Geomorfologiska kartbladet 30 H Riksgränsen (öst), 30 I Abisko, 31 H Reurivare och 31 I Vadvetjåkka, Olle Melander
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Innehåll: Dagens risknivåer, Klimatpåverkan, Utredd sektion (rev juni12, se även Stabilitetsberäkningspaketet), Längdmätning och Bladindelning. Se även https://gis.sgi.se/dokument/geodatasezip/skredriskpaketet_innehåll.xls och "GÄU Slutrapport Del 3 - Kartor", se Samtliga rapporter från GÄU: https://www.sgi.se/sv/samhallsplanering--sakerhet/skredriskutredningar/gota-alv/verktyg-underlag-och-rapporter/ [Geoteknik]
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Utredd sektion (reviderad juni 12) med länkar till utförda stabilitetsberäkningar och CAD sektionsritningar. (262 sektioner). Se vidare https://gis.sgi.se/dokument/geodatasezip/stabilitetsberakningspaketet_innehåll.xls och respektive Tekniskt PM och MUR Markundersökningsrapport. [Geoteknik]
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Borrhål utförda tidigare än 2009 och "utanför" GÄU och som nyttjas till viss del inom GÄU. Över 25.000 sonderingar. Data kommer från Trafikverket Bana Väg i Väst, kommuner m fl. Se https://gis.sgi.se/dokument/geodatasezip/borrhaltidigarepaketet_innehåll.xls och Samtliga rapporter från GÄU: https://www.sgi.se/sv/samhallsplanering--sakerhet/skredriskutredningar/gota-alv/verktyg-underlag-och-rapporter/
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The wind power density layer shows the modeled wind power density [W/m2] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 W/m2 each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.
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Dynamic Habitat Index. (2000-2005) Satellite derived estimates of photosynthetically active radiation can be obtained from satellites such as MODIS. Knowledge of the land cover allows for calculation the fraction of incoming solar radiation that is absorbed by vegetation. This fraction of photosynthetically active radiation (fPAR) absorbed by vegetation describes rate at which carbon dioxide and energy from sunlight are assimilated into carbohydrates during photosynthesis of plant tissues. The summation of carbon assimilated by the vegetation canopy over time yields the landscape's gross primary productivity. Daily MODIS imagery is the basis for periodic composites and monthly data products. Over the 6 year period from 2000-2005, we calculate the annual average cumulative total of 72 monthly fPAR measurements, to describe the integrated annual vegetative production of the landscape, the integrated average annual minimum monthly fPAR measurement, which describes the annual minimum green cover of the observed landscape, and the integrated average of the annual covariance of fPAR, which describes the seasonality of the observed landscape. We also share the combination of the annual integrated values for visualization and analysis as the Dynamic Habitat Index (with additional information in Coops et al. 2008). When using this data, please cite as: Coops, N.C., Wulder, M.A., Duro, D.C., Han, T. and Berry, S., 2008. The development of a Canadian dynamic habitat index using multi-temporal satellite estimates of canopy light absorbance. Ecological Indicators, 8(5), pp.754-766. ( Coops et al. 2008).
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14 Class - Canadian Ecological Domain Classification from Satellite Data. Satellite derived data including 1) topography, 2) landscape productivity based on photosynthetic activity, and 3) land cover were used as inputs to create an environmental regionalization of the over 10 million km2 of Canada’s terrestrial land base. The outcomes of this clustering consists of three main outputs. An initial clustering of 100 classes was generated using a two-stage multivariate classification process. Next, an agglomerative hierarchy using a log-likelihood distance measure was applied to create a 40 and then a 14 class regionalization, aimed to meaningfully group ecologically similar components of Canada's terrestrial landscape. For more information (including a graphical illustration of the cluster hierarchy) and to cite this data please use: Coops, N.C., Wulder, M.A., Iwanicka, D. 2009. An environmental domain classification of Canada using earth observation data for biodiversity assessment. Ecological Informatics, Vol. 4, No. 1, Pp. 8-22, DOI: https://doi.org/10.1016/j.ecoinf.2008.09.005. ( Coops et al. 2009).
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The wind speed layer shows the modeled wind speed [m/s] at a height of 100 m above ground level, at each grid point, averaged over the three year period from January 1, 2008 to December 31, 2010. Values are presented in bins with ranges of 0.5 m/s each. Further details including data at different heights, and for individual years, can be obtained by clicking on the dot representing the grid point location.
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The Pan-Canadian Wind Integration Study (PCWIS), completed in 2016, assessed the operational and economic implications of integrating large amounts of wind energy into the Canadian electricity system. The PCWIS study generated a significant amount of high-resolution modelled wind data at many locations across Canada. This dataset contains over 54,000 “cells”, with each cell representing one node on a 2×2 km grid. Each cell has an associated time history of three years of modelled wind data, from 2008 to 2010, at 10-minute intervals. The interactive map allows a user to readily visualize the geographic distribution of Canada’s wind resources, as well as to quickly estimate the strength of the wind resource at a particular location.