CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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Tower_team:
PI:	Thomas Andrew Black andrew.black@ubc.ca - University of British Columbia
Lat, Long:	55.1119, -122.8414
Elevation(m):	751
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:	Csa (Mediterranean: mild with dry, hot summer)
Mean Annual Temp (°C):	2
Mean Annual Precip. (mm):	570
Flux Species Measured:	CO2
Years Data Collected:	2007 - Present
Years Data Available:	AmeriFlux BASE 2007 - 2022 Data Citation AmeriFlux FLUXNET 2007 - 2022 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	This tower is located at an mountain pine beetle (MPB)-attacked almost pure lodgepole pine stand, 15 tall, approximately 35 km southeast of Mackenzie at ... This tower is located at an mountain pine beetle (MPB)-attacked almost pure lodgepole pine stand, 15 tall, approximately 35 km southeast of Mackenzie at Kennedy Siding . See More Show Less
URL:	—
Research Topics:	Flux data processing, instrument QA/QC
Acknowledgment:	Supported by NSERC and BIOCAP.

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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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-LP1 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-LP1 data are combined with data from sites that require the AmeriFlux Legacy Policy.

AmeriFlux BASE: https://doi.org/10.17190/AMF/1660337
Citation: Thomas Andrew Black (2023), AmeriFlux BASE CA-LP1 British Columbia - Mountain pine beetle-attacked lodgepole pine stand , Ver. 4-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1660337
AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1832155
Citation: Thomas Andrew Black (2024), AmeriFlux FLUXNET-1F CA-LP1 British Columbia - Mountain pine beetle-attacked lodgepole pine stand , Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1832155

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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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 .

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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-LP1, 55.1119, -122.8414.

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Coordinates for selected GeoNEX Pixel

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NDVI: Normalized Difference Vegetation Index

No NDVI data have been received for site CA-LP1.

NDVI (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

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NIRv Near-Infrared Reflectance of vegetation

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DSR: Surface downward shortwave radiation

No DSR data have been received for site CA-LP1.

Shortwave Radiation (W/m2)

Resolution: 0.01° x 0.01° & Hourly

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LST: Land Surface Temperature

No LST data have been received for site CA-LP1.

LST (K)

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel:

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-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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BADM for This Site

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

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CA-LP1: British Columbia - Mountain pine beetle-attacked lodgepole pine stand

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Wind Roses

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

Image scale: 580m x 580m

Image scale: 1161m x 1161m

Data Collected: 2007 - 2020

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

Wind Speed (m/s)

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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