Articles | Volume 5, issue 2
https://doi.org/10.5194/gi-5-417-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/gi-5-417-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
12 Sep 2016
Research article |
| 12 Sep 2016
Digital photography for assessing the link between vegetation phenology and CO2 exchange in two contrasting northern ecosystems
Maiju Linkosalmi
CORRESPONDING AUTHOR
Finnish Meteorological Institute, Helsinki, Finland
Mika Aurela
Finnish Meteorological Institute, Helsinki, Finland
Juha-Pekka Tuovinen
Finnish Meteorological Institute, Helsinki, Finland
Mikko Peltoniemi
Natural Resources Institute Finland (LUKE), Vantaa, Finland
Cemal M. Tanis
Finnish Meteorological Institute, Helsinki, Finland
Ali N. Arslan
Finnish Meteorological Institute, Helsinki, Finland
Pasi Kolari
Faculty of Biosciences, University of Helsinki, Helsinki, Finland
Kristin Böttcher
Finnish Environment Institute (SYKE), Helsinki, Finland
Tuula Aalto
Finnish Meteorological Institute, Helsinki, Finland
Juuso Rainne
Finnish Meteorological Institute, Helsinki, Finland
Juha Hatakka
Finnish Meteorological Institute, Helsinki, Finland
Tuomas Laurila
Finnish Meteorological Institute, Helsinki, Finland
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Cited
19 citations as recorded by crossref.
- A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass X. Fan et al. 10.1016/j.compag.2017.11.025
- Partitioning of the net CO2 exchange using an automated chamber system reveals plant phenology as key control of production and respiration fluxes in a boreal peatland J. Järveoja et al. 10.1111/gcb.14292
- Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis Y. Liu et al. 10.1016/j.agrformet.2020.107910
- Refining the role of phenology in regulating gross ecosystem productivity across European peatlands F. Koebsch et al. 10.1111/gcb.14905
- Linear Disturbances Shift Boreal Peatland Plant Communities Toward Earlier Peak Greenness S. Davidson et al. 10.1029/2021JG006403
- Plugging the Gaps in the Global PhenoCam Monitoring of Forests—The Need for a PhenoCam Network across Indian Forests K. Jose et al. 10.3390/rs15245642
- Comparing phenocam color indices with phenological observations of black spruce in the boreal forest X. Li et al. 10.1016/j.ecoinf.2023.102149
- Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016 M. Peltoniemi et al. 10.5194/essd-10-173-2018
- Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions A. Arslan et al. 10.3390/geosciences7030055
- Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons L. Heiskanen et al. 10.5194/bg-18-873-2021
- Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production J. Zhang et al. 10.1016/j.ecolind.2024.112251
- Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography G. Piazzi et al. 10.3390/geosciences9030129
- Resilience of subarctic Scots pine and Norway spruce forests to extreme weather events L. Matkala et al. 10.1016/j.agrformet.2020.108239
- Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data M. Linkosalmi et al. 10.5194/bg-19-4747-2022
- Monitoring changes in forestry and seasonal snow using surface albedo during 1982–2016 as an indicator T. Manninen et al. 10.5194/bg-16-223-2019
- Estimation of plant area index and phenological transition dates from digital repeat photography and radiometric approaches in a hardwood forest in the Northeastern United States M. Toda & A. Richardson 10.1016/j.agrformet.2017.09.004
- Local snow melt and temperature—but not regional sea ice—explain variation in spring phenology in coastal Arctic tundra J. Assmann et al. 10.1111/gcb.14639
- Peatland vegetation composition and phenology drive the seasonal trajectory of maximum gross primary production M. Peichl et al. 10.1038/s41598-018-26147-4
- A System for Acquisition, Processing and Visualization of Image Time Series from Multiple Camera Networks C. Tanis et al. 10.3390/data3030023
18 citations as recorded by crossref.
- A simple visible and near-infrared (V-NIR) camera system for monitoring the leaf area index and growth stage of Italian ryegrass X. Fan et al. 10.1016/j.compag.2017.11.025
- Partitioning of the net CO2 exchange using an automated chamber system reveals plant phenology as key control of production and respiration fluxes in a boreal peatland J. Järveoja et al. 10.1111/gcb.14292
- Using the red chromatic coordinate to characterize the phenology of forest canopy photosynthesis Y. Liu et al. 10.1016/j.agrformet.2020.107910
- Refining the role of phenology in regulating gross ecosystem productivity across European peatlands F. Koebsch et al. 10.1111/gcb.14905
- Linear Disturbances Shift Boreal Peatland Plant Communities Toward Earlier Peak Greenness S. Davidson et al. 10.1029/2021JG006403
- Plugging the Gaps in the Global PhenoCam Monitoring of Forests—The Need for a PhenoCam Network across Indian Forests K. Jose et al. 10.3390/rs15245642
- Comparing phenocam color indices with phenological observations of black spruce in the boreal forest X. Li et al. 10.1016/j.ecoinf.2023.102149
- Webcam network and image database for studies of phenological changes of vegetation and snow cover in Finland, image time series from 2014 to 2016 M. Peltoniemi et al. 10.5194/essd-10-173-2018
- Automated Webcam Monitoring of Fractional Snow Cover in Northern Boreal Conditions A. Arslan et al. 10.3390/geosciences7030055
- Carbon dioxide and methane exchange of a patterned subarctic fen during two contrasting growing seasons L. Heiskanen et al. 10.5194/bg-18-873-2021
- Comparing the performance of phenocam GCC, MODIS GCC, and MODIS EVI for retrieving vegetation phenology and estimating gross primary production J. Zhang et al. 10.1016/j.ecolind.2024.112251
- Cross-Country Assessment of H-SAF Snow Products by Sentinel-2 Imagery Validated against In-Situ Observations and Webcam Photography G. Piazzi et al. 10.3390/geosciences9030129
- Resilience of subarctic Scots pine and Norway spruce forests to extreme weather events L. Matkala et al. 10.1016/j.agrformet.2020.108239
- Tracking vegetation phenology of pristine northern boreal peatlands by combining digital photography with CO2 flux and remote sensing data M. Linkosalmi et al. 10.5194/bg-19-4747-2022
- Monitoring changes in forestry and seasonal snow using surface albedo during 1982–2016 as an indicator T. Manninen et al. 10.5194/bg-16-223-2019
- Estimation of plant area index and phenological transition dates from digital repeat photography and radiometric approaches in a hardwood forest in the Northeastern United States M. Toda & A. Richardson 10.1016/j.agrformet.2017.09.004
- Local snow melt and temperature—but not regional sea ice—explain variation in spring phenology in coastal Arctic tundra J. Assmann et al. 10.1111/gcb.14639
- Peatland vegetation composition and phenology drive the seasonal trajectory of maximum gross primary production M. Peichl et al. 10.1038/s41598-018-26147-4
1 citations as recorded by crossref.
Saved (preprint)
Latest update: 14 Dec 2024
Short summary
Digital photography has become a widely used tool for monitoring the vegetation phenology. The seasonal cycle of the greenness index obtained from photographs correlated well with the CO2 exchange of the plants at our wetland and Scots pine forest sites. While the seasonal changes in the greenness were more obvious for the ecosystem dominated by annual plants, clear seasonal patterns were also observed for the evergreen forest.
Digital photography has become a widely used tool for monitoring the vegetation phenology. The...
