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

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US-CS2: Tri county school Pine Forest

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DOI(s) for citing US-CS2 data

Data Use Policy: AmeriFlux CC-BY-4.0 License

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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

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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.
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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

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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 US-CS2, 44.1467, -89.5002.

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Coordinates for selected GeoNEX Pixel

Lat: 44.1700 Long: -89.5400

US-CS2

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NDVI: Normalized Difference Vegetation Index

No NDVI data have been received for site US-CS2.

NDVI (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel: Lat: 44.1700 Long: -89.5400

NIRv Near-Infrared Reflectance of vegetation

No NIRv data have been received for site US-CS2.

NIRv (unitless)

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel: Lat: 44.1700 Long: -89.5400

DSR: Surface downward shortwave radiation

No DSR data have been received for site US-CS2.

Shortwave Radiation (W/m2)

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel: Lat: 44.1700 Long: -89.5400

LST: Land Surface Temperature

No LST data have been received for site US-CS2.

LST (K)

Resolution: 0.02° x 0.02° & Hourly

Coordinates for pixel: Lat: 44.1600 Long: -89.5400

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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US-CS2: Tri county school Pine Forest

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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

US-CS2: Tri county school Pine Forest

uscs2

US-CS2: Tri county school Pine Forest

MODIS NDVI

PhenoCam Images and Derived Time Series Data

GeoNEX Data Products

NDVI: Normalized Difference Vegetation Index

NIRv Near-Infrared Reflectance of vegetation

DSR: Surface downward shortwave radiation

LST: Land Surface Temperature

Citation

Subset Data Citation:

Relevant Science Publication Citation:

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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