US-CS2: Tri county school Pine Forest

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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 US-CS2 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 US-CS2 data are combined with data from sites that require the AmeriFlux Legacy Policy.

AmeriFlux BASE: https://doi.org/10.17190/AMF/1617711
Citation: Ankur Desai (2023), AmeriFlux BASE US-CS2 Tri county school Pine Forest, Ver. 5-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1617711
AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/1881577
Citation: Ankur Desai (2024), AmeriFlux FLUXNET-1F US-CS2 Tri county school Pine Forest, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1881577

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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US-CS2: Tri county school Pine Forest

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US-CS2: Tri county school Pine Forest

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uscs2
**Description:**
Pine tower
Keywords: —
**Credit:** Jonathan Thom
**Site ID:** US-CS2
**Location:**
**Image Date:** 2018
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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US-CS2: Tri county school Pine Forest

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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.

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For a complete list of AmeriFlux sites, visit ORNL DAAC's MODIS/VIIRS Fixed Sites Subsets Tool.

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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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Beta: This AmeriFlux GeoNEX Products feature is in beta. If you spot any issues, please help us out by emailing geonex-feedback@lbl.gov with a description and/or screenshot of the issue. Thanks in advance!

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 .

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NDVI: Normalized Difference Vegetation Index

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

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LST: Land Surface Temperature

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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.

US-CS2: Tri county school Pine Forest

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US-CS2: Tri county school Pine Forest

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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.

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US-CS2: Tri county school Pine Forest

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Tower_team:
PI:	Ankur Desai desai@aos.wisc.edu - University of Wisconsin-Madison
FluxContact:	Jonathan Thom jonathan.thom@ssec.wisc.edu - University of Wisconsin-Madison
DataManager:	Ammara Talib ammara.talib@yale.edu - Yale University
Lat, Long:	44.1467, -89.5002
Elevation(m):	328
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:	Dfa (Humid Continental: humid with severe winter, no dry season, hot summer)
Mean Annual Temp (°C):	7
Mean Annual Precip. (mm):	830
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2018 - 2022
Years Data Available:	AmeriFlux BASE 2018 - 2022 Data Citation AmeriFlux FLUXNET 2018 - 2022 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	Tri county school Forest
URL:	https://flux.aos.wisc.edu/fluxdata
Research Topics:	Evapotranspiration, irrigation, groundwater recharge
Acknowledgment:	This work was funded by an award to UW-Madison from WPVGA and the Wisconsin DNR

US-CS2: Tri county school Pine Forest

US-CS2: Tri county school Pine Forest

DOI(s) for citing US-CS2 data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-CS2: Tri county school Pine Forest

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US-CS2: Tri county school Pine Forest

uscs2

US-CS2: Tri county school Pine Forest

US-CS2: Tri county school Pine Forest

BADM for This Site

US-CS2: Tri county school Pine Forest

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