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]

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/

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]

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

The "Canadian Database of Geochemical Surveys" has two long-term goals. Firstly, it aims to catalogue all of the regional geochemical surveys that have been carried out across Canada, beginning in the 1950s. Secondly, it aims to make the raw data from those surveys available in a standardised format. Over 1,500 surveys have been catalogued. Of these, the raw data for over 300 have been converted to a standardised format. The catalogue can be searched at https:\\geochem.nrcan.gc.ca

The “Thematic Soil Maps of Manitoba” is a revised and condensed version of the Manitoba Detailed Soils Database produced by CANSIS. It contains data relating to the soils slope, drainage, agricultural capability, erosion potential, and surface texture.

Forest Percentage Above 2m 2015 Percentage of first returns above 2 m (%). Represents canopy cover. Products relating the structure of Canada's forested ecosystems have been generated and made openly accessible. The shared products are based upon peer-reviewed science and relate aspects of forest structure including: (i) metrics calculated directly from the lidar point cloud with heights normalized to heights above the ground surface (e.g., canopy cover, height), and (ii) modelled inventory attributes, derived using an area-based approach generated by using co-located ground plot and ALS data (e.g., volume, biomass). Forest structure estimates were generated by combining information from lidar plots (Wulder et al. 2012) with Landsat pixel-based composites (White et al. 2014; Hermosilla et al. 2016) using a nearest neighbour imputation approach with a Random Forests-based distance metric. These products were generated for strategic-level forest monitoring information needs and are not intended to support operational-level forest management. All products have a spatial resolution of 30 m. For a detailed description of the data, methods applied, and accuracy assessment results see Matasci et al. (2018). When using this data, please cite as follows: Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018b. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment 216, 697-714. Matasci et al. 2018) Geographic extent: Canada's forested ecosystems (~ 650 Mha) Time period: 1985–2011

This dataset provides wall-to-wall maps of forest structure across Canada's 650 million hectare forested ecosystems for the year 2022, generated at a spatial resolution of 30 m. Structure estimates include key attributes such as canopy height, canopy cover, and aboveground biomass, derived using a combination of airborne lidar and Landsat-based spectral composites. Structure models were trained using the - lidar-plot framework - (Wulder et al. 2012), which integrates co-located airborne lidar data and ground plot measurements with Landsat time-series composites (Hermosilla et al. 2016). A Nearest Neighbour imputation approach was applied to estimate structural attributes across the full extent of Canada's forested area. These nationally consistent products are intended to support strategic-level forest monitoring and assessment and are not designed for operational forest management. For further details on the methods, accuracy assessment, and source data, see Matasci et al. (2018). Matasci, G., Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Hobart, G.W., Bolton, D.K., Tompalski, P., Bater, C.W., 2018. Three decades of forest structural dynamics over Canada's forested ecosystems using Landsat time-series and lidar plots. Remote Sensing of Environment, 216, 697-714. https://doi.org/10.1016/j.rse.2018.07.024 (Matasci et al. 2018)

40 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).