Month: December 2019

  • A method to assess significant trends in time series of thematic forest maps

    A contextual Mann-Kendall (CMK) test was applied to detect trends in time-series of 9-10 thematic forest maps from two decades at various size of units. The Mann-Kendall test tests for a monotonic trend in the time-series and it is suitable for small sample sizes. The CMK test incorporates spatial autocorrelation, which is often present in…

  • The Academy of Finland funds two geospatial research projects at University of Turku

    Researchers at the department of geography and geology at University of Turku have received funding from the Academy of Finland for two projects working with geospatial data and methods. The projects focus on very different phenomena, going from urban green infrastructures to human linguistic, genetic and cultural diversity. Adjunct professor Nora Fagerholm will start her…

  • The new data available at HAKKU-service by GTK

    The new spatial data product have been published. Feel free to get familiar with the newest data at HAKKU-service (https://hakku.gtk.fi/en/locations/search): Young faults and landslides Young faults and landslides are the collection of classificated Late and postglacial surface ruptures and landslides in Finland. The observations are based on LiDAR DEMs, geophysical measurements, drilling and field studies.…

  • Updates and new content at Geoportti

    Have you ever wondered what kind of geospatial research is done in different universities and research institutions around Finland or which disciplines teach geospatial courses at the universities? We at Geoportti have updated the Research and education (1)–subsection with descriptions written by the organizations themselves. Visit the subsection to learn about the geospatial activities in…

  • New doctoral dissertation on the remote sensing observations for snow-covered landscape

    Kirsikka Heinilä defended successfully her thesis on the remote sensing observations for snow cover on the 30.11.2019. In her work, Kirsikka Heinilä studied optical remote sensing methods, and their accuracy, on deriving snow cover information on the forested landscape. The complete work with title “Effects of boreal forest on multi-scale optical remote sensing observations for…