CA-SCC: Scotty Creek Landscape
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Tower_team: | |
PI: | Oliver Sonnentag oliver.sonnentag@umontreal.ca - Université de Montréal |
DataManager: | Haley Alcock haley.alcock@umontreal.ca - Université de Montréal |
Lat, Long: | 61.3079, -121.2992 |
Elevation(m): | 285 |
Network Affiliations: | AmeriFlux |
Vegetation IGBP: | ENF (Evergreen Needleleaf Forests: Lands dominated by woody vegetation with a percent cover >60% and height exceeding 2 meters. Almost all trees remain green all year. Canopy is never without green foliage.) |
Climate Koeppen: | Dfc (Subarctic: severe winter, no dry season, cool summer) |
Mean Annual Temp (°C): | -2.8 |
Mean Annual Precip. (mm): | 387.6 |
Flux Species Measured: | CO2, H2O |
Years Data Collected: | 2013 - Present |
Years Data Available: | AmeriFlux BASE 2013 - 2024 Data Citation AmeriFlux FLUXNET 2013 - 2016 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | The Scotty Creek flux tower is located in an organic-rich boreal forest-wetland landscape about 50 km south of Fort Simpson in the Taiga Plains of the ... The Scotty Creek flux tower is located in an organic-rich boreal forest-wetland landscape about 50 km south of Fort Simpson in the Taiga Plains of the Mackenzie watershed. The tower was installed in 2013 and operates an open-path EC system year-round running on solar power only. Flux footprints contain about 50 % forested peat plateaus and 50 % wetlands (i.e., collapse-scar bogs). The forests are underlain by permafrost, while the treeless wetlands are permafrost-free. The tower itself is located on a forested peat plateau. Black spruce tree density on plateaus is sparse and the mean canopy height is ca. 5 m. See MoreShow Less |
URL: | http://atmosbios.com/ |
Research Topics: | Permafrost thaw effects on land-atmosphere interactions |
Acknowledgment: | Eddy covariance and supporting measurements at the Scotty Creek Research Station were funded by the Canada Research Chairs, Natural Sciences and Engineering Research Council Discovery Grant and various Canada Foundation for Innovation programs. We are grateful for the support of the Liidlii Kue First Nation and Jean-Marie River First Nation for their support of the Scotty Creek Research Station. |
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CA-SCC: Scotty Creek Landscape
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Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing CA-SCC data
Data Use Policy: AmeriFlux CC-BY-4.0 License
This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if CA-SCC data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1480303
Citation: Oliver Sonnentag, William L Quinton (2025), AmeriFlux BASE CA-SCC Scotty Creek Landscape, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1480303 - AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/2469440
Citation: Oliver Sonnentag, William L Quinton (2024), AmeriFlux FLUXNET-1F CA-SCC Scotty Creek Landscape, Ver. 3-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2469440
Find global FLUXNET datasets, like FLUXNET2015 and FLUXNET-CH4, and their citation information at fluxnet.org.
To cite BADM when downloaded on their own, use the publications below for citing site characterization. When using BADM that are downloaded with AmeriFlux BASE and AmeriFlux FLUXNET products, use the DOI citation for the associated data product.
Publication(s) for citing site characterization
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Acknowledgments
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CA-SCC: Scotty Creek Landscape
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CA-SCC: Scotty Creek Landscape
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AmeriFlux Images | Add Image |

Scotty Creek Landscape tower
Keywords: —
Location: Northwest Territories, Canada
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CA-SCC: Scotty Creek Landscape
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MODIS NDVI
The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
Use the slider below the time series to zoom in and out.
To view / download these data and other MOD13Q1 products for this site, visit MODIS/Terra Vegetation Indices.
For other related products, visit MODIS/VIIRS Fixed Sites Subsets Tool.
Citation:
ORNL DAAC. 2018. Terrestrial Ecology Subsetting & Visualization Services (TESViS) Fixed Sites Subsets. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1567
MODIS NDVI subsetted data is not yet available for this site.
For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.
PhenoCam Images and Derived Time Series Data
PhenoCams are high-resolution digital cameras that take repeated images of studied ecosystems and provide quantitative information about the canopy phenology. The PhenoCam Network coordinates the camera installation and data reporting/analyses across sites in the Americas, providing automated, near-surface remote sensing of canopy phenology across a range of ecosystems and climate zones. Use of PhenoCam images / data should follow the PhenoCam Data Use Policy .
No PhenoCam data for this siteGeoNEX Data Products
GeoNEX led by NASA Earth eXchange (NEX) is a collaborative effort for generating Earth monitoring products from the new generation of geostationary satellite sensors. GeoNEX has produced a suite of geostationary data products including surface reflectance, land surface temperature, surface solar radiation, and many others.
The GeoNEX Common Grid locates GeoNEX data in the geographic (latitude/longitude) projection. Pixels (grid cells) are created at regular 0.005°, 0.01°, and 0.02° resolutions.
GeoNEX pixels below cover the area 0.06° x 0.06° around and including site CA-SCC, 61.3079, -121.2992.
Citation
This material can be used without obtaining permission from NASA. NASA should be acknowledged as the source of this material.
Subset Data Citation:
- Hashimoto, H., Wang, W., Park, T., Khajehei, S., Ichii, K., Michaelis, A.R., Guzman, A., Nemani, R.R., Torn, M., Yi, K., Brosnan, I.G. (in preparation). Subsets of geostationary satellite data over international observing network sites for studying the diurnal dynamics of energy, carbon, and water cycles.
Relevant Science Publication Citation:
GeoNEX Surface Reflectance for Vegetation Indices (NDVI & NIRv)- Wang, W., Wang, Y., Lyapustin, A., Hashimoto, H., Park, T., Michaelis, A., & Nemani, R. (2022). A novel atmospheric correction algorithm to exploit the diurnal variability in hypertemporal geostationary observations. Remote Sensing, 14(4), 964.
- Li, R., Wang, D., Wang, W., & Nemani, R. (2023). A GeoNEX-based high-spatiotemporal-resolution product of land surface downward shortwave radiation and photosynthetically active radiation. Earth System Science Data, 15(3), 1419-1436.
- Jia, A., Liang, S., & Wang, D. (2022). Generating a 2-km, all-sky, hourly land surface temperature product from Advanced Baseline Imager data. Remote Sensing of Environment, 278, 113105.
CA-SCC: Scotty Creek Landscape
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AmeriFlux Publications | Add Publication |
Year | Publication |
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2021 | Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., Zona, D. (2021) Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites, Agricultural And Forest Meteorology, 301-302, 108350. https://doi.org/10.1016/j.agrformet.2021.108350 |
2017 | Helbig, M., Chasmer, L. E., Desai, A. R., Kljun, N., Quinton, W. L., Sonnentag, O. (2017) Direct And Indirect Climate Change Effects On Carbon Dioxide Fluxes In A Thawing Boreal Forest-Wetland Landscape, Global Change Biology, 23(8), 3231-3248. https://doi.org/10.1111/gcb.13638 |
CA-SCC: Scotty Creek Landscape
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BADM for This Site
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CA-SCC: Scotty Creek Landscape
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