Bilde av Erlandsson, Rasmus
Bilde av Erlandsson, Rasmus
Department of Arctic and Marine Biology rer032@post.uit.no +4777646004 Tromsø

Rasmus Erlandsson


Postdoc

Job description

I am a postdoctoral researcher in Ecology at the University of Tromsø, Norway, and a researcher at the Norwegian Institute for Nature Research (NINA). My research is focused mainly on landscape ecology in subarctic and arctic ecosystems, based on - or related to - remote sensing.

Personal homepage: rasmuserlandsson.net


  • Jarle W. Bjerke, Kristin Magnussen, Ryan M. Bright, Ståle Navrud, Rasmus Erlandsson, Eirik Aasmo Finne et al.:
    Synergies and trade-offs between provisioning and climate-regulating ecosystem services in reindeer herding ecosystems
    Science of the Total Environment 2024 DOI
  • Rasmus Erlandsson, Marit Klemetsen Arneberg, Hans Tømmervik, Eirik Aasmo Finne, Lennart Nilsen, Jarle W. Bjerke :
    Feasibility of active handheld NDVI sensors for monitoring of lichen ground cover
    Fungal ecology 2023 ARKIV / DOI
  • Eirik Aasmo Finne, Jarle W. Bjerke, Rasmus Erlandsson, Hans Tømmervik, Frode Stordal, Lena M. Tallaksen :
    Variation in albedo and other vegetation characteristics in non-forested northern ecosystems: the role of lichens and mosses
    Environmental Research Letters 2023 ARKIV / DOI
  • Rasmus Ingel Erlandsson, Malin Hasselgren, Karin Noren, David MacDonald, Anders Angerbjörn :
    Resources and predation: drivers of sociality in a cyclic mesopredator
    Oecologia 2022 ARKIV / DOI
  • Rasmus Ingel Erlandsson, Jarle W. Bjerke, Eirik Aasmo Finne, Ranga B. Myneni, Shilong Piao, Xuhui Wang et al.:
    An artificial intelligence approach to remotely assess pale lichen biomass
    Remote Sensing of Environment 2022 ARKIV / DOI
  • Shridhar D. Jawak, Bo Nyborg Andersen, Veijo A Pohjola, Øystein Godøy, Christiane Hübner, Inger Jennings et al.:
    SIOS’s Earth Observation (EO), Remote Sensing (RS), and operational activities in response to COVID-19
    Remote Sensing 2021 ARKIV / DOI
  • Rasmus Ingel Erlandsson :
    Counting lichens from space - an artificial intelligence approach to remotely access pale lichen biomass
    2022
  • Jarle W. Bjerke, Kristin Tangvik Magnussen, Rasmus Ingel Erlandsson, Eirik Aasmo Finne, Hans Tømmervik :
    Lav - mer enn bare fôr for rein
    Ottar 2022
  • Rasmus Ingel Erlandsson :
    Some aspects of the use of artifical intelligence for remote sensing of lichens
    2022
  • Rasmus Ingel Erlandsson :
    An artificial intelligence approach to remotely assess pale lichen biomass
    2022
  • Hans Tømmervik, Rasmus Ingel Erlandsson, Marit K. Arneberg, Eirik Aasmo Finne, Jarle W. Bjerke :
    Satellittkartlegging av vinterbeiteområder i Fæmund sijte, Sålekinna-Håmmålsfjellet og Korssjøen og Feragen-vest
    2021 FULLTEKST
  • Hans Tømmervik, Lennart Nilsen, Rasmus Erlandsson, Tommaso Julitta :
    Cal/Val activities in Svalbard using in-situ continuous monitoring and airborne campaigns
    2021
  • Rasmus Erlandsson, Elin Backström :
    Impact of Fire and Frost Drought Events on Vegetation Greenness and Albedo in Subarctic Scandinavia
    2021
  • Hans Tømmervik, Lennart Nilsen, Rasmus Erlandsson, Eirik Aasmo Finne, Jarle W. Bjerke :
    The Vanishing White (VANWHITE) Airborne Remote Sensing campaign Svalbard II 2021
    2021
  • Rasmus Ingel Erlandsson :
    Lichens from space – Neural networks for a landscape ecologist
    2021
  • Rasmus Ingel Erlandsson :
    Presentation av ny fjärranalysmetod för lavbiomassa.
    2021
  • Hans Tømmervik, Lennart Nilsen, Rasmus Erlandsson, Frans-Jan W. Parmentier, Frans-Jan W. Parmentier, Jarle W. Bjerke :
    A hyperspectral sensor for monitoring vegetation phenology and Sun-Induced Fluorescence (SIF) in High Arctic tundra
    2021
  • Geir Rune Rauset, Rasmus Ingel Erlandsson, Siri Bøthun, Erik Skjoldal, Jarle W. Bjerke, Hans Tømmervik et al.:
    Kvalitetsnorm for villrein – ny metode for utrekning av lavbeite
    Villreinen 2021
  • Rasmus Erlandsson :
    Google Earth Engine for vegetation mapping and monitoring.
    2020
  • Rasmus Erlandsson :
    Twitter post for Remote sensing in ecology and conservation
    16. December 2019 DATA

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