Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Sofia Junttila"'
Autor:
Sofia Junttila, Jonas Ardö, Zhanzhang Cai, Hongxiao Jin, Natascha Kljun, Leif Klemedtsson, Alisa Krasnova, Holger Lange, Anders Lindroth, Meelis Mölder, Steffen M. Noe, Torbern Tagesson, Patrik Vestin, Per Weslien, Lars Eklundh
Publikováno v:
Science of Remote Sensing, Vol 7, Iss , Pp 100075- (2023)
Northern forest ecosystems make up an important part of the global carbon cycle. Hence, monitoring local-scale gross primary production (GPP) of northern forest is essential for understanding climatic change impacts on terrestrial carbon sequestratio
Externí odkaz:
https://doaj.org/article/398b8a41150f458abaebe0449199e798
Autor:
Sofia Junttila, Julia Kelly, Natascha Kljun, Mika Aurela, Leif Klemedtsson, Annalea Lohila, Mats B. Nilsson, Janne Rinne, Eeva-Stiina Tuittila, Patrik Vestin, Per Weslien, Lars Eklundh
Publikováno v:
Remote Sensing, Vol 13, Iss 4, p 818 (2021)
Peatlands play an important role in the global carbon cycle as they contain a large soil carbon stock. However, current climate change could potentially shift peatlands from being carbon sinks to carbon sources. Remote sensing methods provide an oppo
Externí odkaz:
https://doaj.org/article/d3bb60bf2db040fa92b4e3b3d9ec380b
Autor:
Zhanzhang Cai, Sofia Junttila, Jutta Holst, Hongxiao Jin, Jonas Ardö, Andreas Ibrom, Matthias Peichl, Meelis Mölder, Per Jönsson, Janne Rinne, Maria Karamihalaki, Lars Eklundh
Publikováno v:
Remote Sensing, Vol 13, Iss 3, p 469 (2021)
The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes. This study investigates the potential of 10
Externí odkaz:
https://doaj.org/article/baaeb6f7abe64abab12f38d655c4dbf4
Publikováno v:
IGARSS
Remote sensing-based models are an adequate tool to estimate carbon dioxide (CO 2 ) uptake by terrestrial ecosystems, and to upscale the results from ecosystem to regional or global scales. In this study we compare three models driven by Sentinel-2 d
Autor:
Eklundh, Sofia Junttila, Julia Kelly, Natascha Kljun, Mika Aurela, Leif Klemedtsson, Annalea Lohila, Mats Nilsson, Janne Rinne, Eeva-Stiina Tuittila, Patrik Vestin, Per Weslien, Lars
Publikováno v:
Remote Sensing; Volume 13; Issue 4; Pages: 818
Peatlands play an important role in the global carbon cycle as they contain a large soil carbon stock. However, current climate change could potentially shift peatlands from being carbon sinks to carbon sources. Remote sensing methods provide an oppo
Autor:
Eklundh, Zhanzhang Cai, Sofia Junttila, Jutta Holst, Hongxiao Jin, Jonas Ardö, Andreas Ibrom, Matthias Peichl, Meelis Mölder, Per Jönsson, Janne Rinne, Maria Karamihalaki, Lars
Publikováno v:
Remote Sensing; Volume 13; Issue 3; Pages: 469
The high-resolution Sentinel-2 data potentially enable the estimation of gross primary productivity (GPP) at finer spatial resolution by better capturing the spatial variation in a heterogeneous landscapes. This study investigates the potential of 10
Canopy-forming macroalgae living on rocky bottoms provide valuable ecosystem services but long-term eutrophication has narrowed their distribution and depth zonation in the Baltic Sea. The spatial distribution of macroalgae is shaped by many factors,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f8c307eb7122d6e6548d35666b4d585c
http://hdl.handle.net/10138/347919
http://hdl.handle.net/10138/347919
Autor:
Saku Anttila, Mikko Kervinen, Sofia Junttila, Heidi Hällfors, Sampsa Koponen, Jenni Attila, Hanna Alasalmi, Vivi Fleming-Lehtinen
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation
Cyanobacteria form spectacular mass occurrences almost annually in the Baltic Sea. These harmful algal blooms are the most visible consequences of marine eutrophication, driven by a surplus of nutrients from anthropogenic sources and internal process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d36dfb8bc9832387b54443f466957f7a
https://zenodo.org/record/1037282
https://zenodo.org/record/1037282