CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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Tower_team:
PI:	Alan Barr alan.barr@usask.ca - Global Institute for Water Security, University of Saskatchewan
Lat, Long:	53.9450, -104.6490
Elevation(m):	580
Network Affiliations:	AmeriFlux, Fluxnet-Canada
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):	0.11
Mean Annual Precip. (mm):	430.03
Flux Species Measured:	CO2
Years Data Collected:	2003 - Present
Years Data Available:	AmeriFlux BASE 2002 - 2010 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	53.944737° N, 104.649340° W, BERMS flux and climate measurements to begin by Mar 2003
URL:	http://berms.ccrp.ec.gc.ca/Sites/e-sites-hjp02.htm
Research Topics:	—
Acknowledgment:	—

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CA-SJ2

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CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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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-SJ2 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-SJ2 data are combined with data from sites that require the AmeriFlux Legacy Policy.

AmeriFlux BASE: https://doi.org/10.17190/AMF/1436321
Citation: Alan Barr, Andrew T. Black (2018), AmeriFlux BASE CA-SJ2 Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002, Ver. 2-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1436321

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-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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This page displays the list of downloads of data for the site CA-SJ2.

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CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

Overview
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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.

Includes all pixels that have acceptable quality

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

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

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 site

GeoNEX 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-SJ2, 53.945, -104.649.

Click a square in the grid at left to display its data below.

Coordinates for selected GeoNEX Pixel

Lat: 53.9700 Long: -104.6800

CA-SJ2

Graph controls:

Zoom: click-drag
Pan: shift-click-drag
Restore zoom level: double-click
Use the slider below the time series to zoom in and out.

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NDVI: Normalized Difference Vegetation Index

No NDVI data have been received for site CA-SJ2.

NDVI (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel: Lat: 53.9700 Long: -104.6800

NIRv Near-Infrared Reflectance of vegetation

No NIRv data have been received for site CA-SJ2.

NIRv (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel: Lat: 53.9700 Long: -104.6800

DSR: Surface downward shortwave radiation

No DSR data have been received for site CA-SJ2.

Shortwave Radiation (W/m2)

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel: Lat: 53.9700 Long: -104.6800

LST: Land Surface Temperature

No LST data have been received for site CA-SJ2.

LST (K)

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel: Lat: 53.9600 Long: -104.6800

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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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Search Publications for this Site Publications Found: 4

AmeriFlux Publications

Add Publication

Year	Publication
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
2015	Dennis Baldocchi, Cove Sturtevant (2015) Does day and night sampling reduce spurious correlation between canopy photosynthesis and ecosystem respiration?, Agricultural and Forest Meteorology, 207, 117-126. https://doi.org/10.1016/j.agrformet.2015.03.010
2013	Barr, A., Richardson, A., Hollinger, D., Papale, D., Arain, M., Black, T., Bohrer, G., Dragoni, D., Fischer, M., Gu, L., Law, B., Margolis, H., McCaughey, J., Munger, J., Oechel, W., Schaeffer, K. (2013) Use Of Change-Point Detection For Friction–Velocity Threshold Evaluation In Eddy-Covariance Studies, Agricultural And Forest Meteorology, 171-172, 31-45. https://doi.org/10.1016/j.agrformet.2012.11.023
2006	Coursolle, C., Margolis, H. A., Barr, A. G., Black, T. A., Amiro, B. D., McCaughey, J. H., Flanagan, L. B., Lafleur, P. M., Roulet, N. T., Bourque, C. P., Arain, M. A., Wofsy, S. C., Dunn, A., Morgenstern, K., Orchansky, A. L., Bernier, P. Y., Chen, J. M., Kidston, J., Saigusa, N., Hedstrom, N. (2006) Late-Summer Carbon Fluxes From Canadian Forests And Peatlands Along An East-West Continental Transect, Canadian Journal Of Forest Research, 36(3), 783-800. https://doi.org/10.1139/x05-270

CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

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Image Gallery
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BADM for This Site

Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.

BADM contain information for many uses, such as characterizing a site’s vegetation and soil, describing disturbance history, and defining instrumentation for flux processing. They complement the flux/met data.

Download BADM for this site^*

View Site General Info for this site (Overview tab)^*

Use Online Editor to update Site General Info or DOI Authorship

Update information about submitted data (Variable Information tool)

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^* Online updates are shown on the Overview tab real time. However, downloaded BADM files will not reflect those updates until they have been reviewed for QA/QC.

CA-SJ2: Saskatchewan - Western Boreal, Jack Pine forest harvested in 2002

Overview
Windroses
Data Citation
Data Use Log
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Remote Sensing Data
- MODIS
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Wind Roses

Click an image below to enlarge it, or use the navigation panel.

Image scale: 597m x 597m

Image scale: 1194m x 1194m

Data Collected: 2002 - 2010

Wind roses use variables ‘WS’ and ‘WD’.
Download Data Download Wind Rose as Image File (PNG)

Wind Speed (m/s)

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Jun-Sep 6AM to 6PM 6PM to 6AM

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Dec-Mar 6AM to 6PM 6PM to 6AM

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Wind Direction Scale (%)

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Annual Average

About Ameriflux Wind Roses

Wind Rose Explanation

A wind rose gives a succinct view of how wind speed and direction are typically distributed at a particular location. Presented in a circular format, a wind rose shows the frequency and intensity of winds blowing from particular directions. The length of each “spoke” around the circle indicates the amount of time (frequency) that the wind blows from a particular direction. Colors along the spokes indicate categories of wind speed (intensity). Each concentric circle represents a different frequency, emanating from zero at the center to increasing frequencies at the outer circles

Utility

This information can be useful to gain insight into regions surrounding a flux tower that contribute to the measured fluxes, and how those regions change in dependence of the time of day and season. The wind roses presented here are for four periods of the year, and in 16 cardinal directions. Graphics are available for all sites in the AmeriFlux network based on reported wind measurements at each site.

Data from each site can be downloaded by clicking the ‘download’ button.

Hover the cursor over a wind rose to obtain directions, speeds and intensities.

Note that wind roses are not equivalent to flux footprints. Specifically, the term flux footprint describes an upwind area “seen” by the instruments measuring vertical turbulent fluxes, such that heat, water, gas and momentum transport generated in this area is registered by the instruments. Wind roses, on the other hand, identify only the direction and speed of wind.

Where do these data come from?

The wind roses are based on observed hourly data from the sites registered with the AmeriFlux Network.

Parameters for AmeriFlux Wind Roses

To use wind roses for a single AmeriFlux site, the following parameters may be most useful:

Wind Speed Scale: Per Site
Wind Direction Scale (%): Per Site

To compare wind roses from more than one single AmeriFlux site, the following parameters may be most useful:

Wind Speed Scale: Non-Linear
Wind Direction Scale (%): AmeriFlux

Mar - Jun; 6am - 6pm

Mar - Jun; 6pm - 6am

Jun - Sep; 6am - 6pm

Jun - Sep; 6pm - 6am

Sep - Dec; 6am - 6pm

Sep - Dec; 6pm - 6am

Dec - Mar; 6am - 6pm

Dec - Mar; 6pm - 6am