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Räsänen, Aleksi, Juutinen, Sari, Aurela, Mika, Virtanen, Tarmo (2019) Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling. International Journal of Remote Sensing, 40 (3). doi:10.1080/01431161.2018.1524176

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Reference TypeJournal (article/letter/editorial)
TitlePredicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling
JournalInternational Journal of Remote Sensing
AuthorsRäsänen, AleksiAuthor
Juutinen, SariAuthor
Aurela, MikaAuthor
Virtanen, TarmoAuthor
Year2019 (February 1)Volume40
Issue3
PublisherInforma UK Limited
DOIdoi:10.1080/01431161.2018.1524176Search in ResearchGate
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Mindat Ref. ID17809321Long-form Identifiermindat:1:5:17809321:1
GUID0
Full ReferenceRäsänen, Aleksi, Juutinen, Sari, Aurela, Mika, Virtanen, Tarmo (2019) Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling. International Journal of Remote Sensing, 40 (3). doi:10.1080/01431161.2018.1524176
Plain TextRäsänen, Aleksi, Juutinen, Sari, Aurela, Mika, Virtanen, Tarmo (2019) Predicting aboveground biomass in Arctic landscapes using very high spatial resolution satellite imagery and field sampling. International Journal of Remote Sensing, 40 (3). doi:10.1080/01431161.2018.1524176
In(2019, February) International Journal of Remote Sensing Vol. 40 (3). Informa UK Limited

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Räsänen, Aleksi, Wagner, Julia, Hugelius, Gustaf, Virtanen, Tarmo (2021) Aboveground biomass patterns across treeless northern landscapes. International Journal of Remote Sensing, 42 (12). doi:10.1080/01431161.2021.1897187
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Räsänen, Aleksi, Virtanen, Tarmo (2019) Data and resolution requirements in mapping vegetation in spatially heterogeneous landscapes. Remote Sensing of Environment, 230. 111207pp. doi:10.1016/j.rse.2019.05.026
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Bjorgo, Einar (2000) Using very high spatial resolution multispectral satellite sensor imagery to monitor refugee camps. International Journal of Remote Sensing, 21 (3). doi:10.1080/014311600210786
 
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