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Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology.

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Title: Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology.
Authors: Salmivaara, Aura1 (AUTHOR) aura.salmivaara@luke.fi, Launiainen, Samuli1 (AUTHOR), Perttunen, Jari1 (AUTHOR), Nevalainen, Paavo2 (AUTHOR), Pohjankukka, Jonne2 (AUTHOR), Ala-Ilomäki, Jari1 (AUTHOR), Sirén, Matti1 (AUTHOR), Laurén, Ari3 (AUTHOR), Tuominen, Sakari1 (AUTHOR), Uusitalo, Jori4 (AUTHOR), Pahikkala, Tapio2 (AUTHOR), Heikkonen, Jukka2 (AUTHOR), Finér, Leena5 (AUTHOR)
Source: Forestry: An International Journal of Forest Research. Oct2020, Vol. 93 Issue 5, p662-674. 13p.
Database: Environment Complete
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  Data: Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology.
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  Data: <searchLink fieldCode="JN" term="%22Forestry%3A+An+International+Journal+of+Forest+Research%22">Forestry: An International Journal of Forest Research</searchLink>. Oct2020, Vol. 93 Issue 5, p662-674. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=146317822
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1093/forestry/cpaa010
    Languages:
      – Code: eng
        Text: English
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        PageCount: 13
        StartPage: 662
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      – TitleFull: Towards dynamic forest trafficability prediction using open spatial data, hydrological modelling and sensor technology.
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            NameFull: Salmivaara, Aura
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            – D: 01
              M: 10
              Text: Oct2020
              Type: published
              Y: 2020
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