US-RGo: Glenn County Organic Rice Farm

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

AmeriFlux BASE: https://doi.org/10.17190/AMF/1880914
Citation: Michael R. Schuppenhauer, Sebastien C. Biraud, Stephen Chan (2023), AmeriFlux BASE US-RGo Glenn County Organic Rice Farm, Ver. 3-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1880914
AmeriFlux FLUXNET: https://doi.org/10.17190/AMF/2204875
Citation: Michael R. Schuppenhauer, Sebastien C. Biraud, Stephen Chan (2024), AmeriFlux FLUXNET-1F US-RGo Glenn County Organic Rice Farm, Ver. 4-6, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2204875

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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US-RGo: Glenn County Organic Rice Farm

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This page displays the list of downloads of data for the site {{siteId}}.

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US-RGo: Glenn County Organic Rice Farm

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Search Images for this Site Images found : 4

AmeriFlux Images

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Illustrated NW View of US-RGo
**Description:**
Eddy covariance station US-RGo, part of ARPA-E SMARTFARM.
Keywords: —
**Credit:** Michael R. Schuppenhauer
**Site ID:** US-RGo
**Location:** California, United States
**Image Date:** 2021/08/24
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** As long as credit is given

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

US-RGo Eddy Covariance Station
**Description:**
Illustrated NW View of US-RGo
Keywords: SMARTFARM, ARPA-E, rice, nitrous oxide, methane
**Credit:** Michael Schuppenhauer
**Site ID:** US-RGo
**Location:** California, United States
**Image Date:** 2021/08/24
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact PI
**Right to Use:** As long as credit is given

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Site Picture for US-RGo
**Description:**
Site picture showing platform, tower, and sensors deployed at US-RGo.
Keywords: —
**Credit:** Stephen Chan
**Site ID:** US-RGo
**Location:** California, United States
**Image Date:** 2021/07/19
**Journal:** —
**Article Title:** —
**Copyright Permissions:** As long as credit is given.
**Right to Use:** As long as credit is given

View in Original Size
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US-RGo: Glenn County Organic Rice Farm

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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 .

PhenoCam sites for US-RGo:

glennorganicrice

Use the links below to explore camera images and interactive timeseries for these sites.

PhenoCam site: glennorganicrice

Green Chromatic Coordinate Time Series

ROI: AG_1000

Citation:

B. Seyednasrollah, A. M. Young, K. Hufkens, T. Milliman, M. A. Friedl, S. Frolking, and A. D. Richardson. Tracking vegetation phenology across diverse biomes using version 2.0 of the phenocam dataset. Scientific Data, 6(1):222, 2019. doi:10.1038/s41597-019-0229-9

Camera Imagery
 Milliman, T., B. Seyednasrollah, A.M. Young, K. Hufkens, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Digital Camera Imagery from the PhenoCam Network, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1689

Green Chromatic Coordinate Time Series 
Seyednasrollah, B., A.M. Young, K. Hufkens, T. Milliman, M.A. Friedl, S. Frolking, A.D. Richardson, M. Abraha, D.W. Allen, M. Apple, M.A. Arain, J. Baker, J.M. Baker, D. Baldocchi, C.J. Bernacchi, J. Bhattacharjee, P. Blanken, D.D. Bosch, R. Boughton, E.H. Boughton, R.F. Brown, D.M. Browning, N. Brunsell, S.P. Burns, M. Cavagna, H. Chu, P.E. Clark, B.J. Conrad, E. Cremonese, D. Debinski, A.R. Desai, R. Diaz-Delgado, L. Duchesne, A.L. Dunn, D.M. Eissenstat, T. El-Madany, D.S.S. Ellum, S.M. Ernest, A. Esposito, L. Fenstermaker, L.B. Flanagan, B. Forsythe, J. Gallagher, D. Gianelle, T. Griffis, P. Groffman, L. Gu, J. Guillemot, M. Halpin, P.J. Hanson, D. Hemming, A.A. Hove, E.R. Humphreys, A. Jaimes-Hernandez, A.A. Jaradat, J. Johnson, E. Keel, V.R. Kelly, J.W. Kirchner, P.B. Kirchner, M. Knapp, M. Krassovski, O. Langvall, G. Lanthier, G.l. Maire, E. Magliulo, T.A. Martin, B. McNeil, G.A. Meyer, M. Migliavacca, B.P. Mohanty, C.E. Moore, R. Mudd, J.W. Munger, Z.E. Murrell, Z. Nesic, H.S. Neufeld, T.L. O'Halloran, W. Oechel, A.C. Oishi, W.W. Oswald, T.D. Perkins, M.L. Reba, B. Rundquist, B.R. Runkle, E.S. Russell, E.J. Sadler, A. Saha, N.Z. Saliendra, L. Schmalbeck, M.D. Schwartz, R.L. Scott, E.M. Smith, O. Sonnentag, P. Stoy, S. Strachan, K. Suvocarev, J.E. Thom, R.Q. Thomas, A.K. Van den berg, R. Vargas, J. Verfaillie, C.S. Vogel, J.J. Walker, N. Webb, P. Wetzel, S. Weyers, A.V. Whipple, T.G. Whitham, G. Wohlfahrt, J.D. Wood, S. Wolf, J. Yang, X. Yang, G. Yenni, Y. Zhang, Q. Zhang, and D. Zona. 2019. PhenoCam Dataset v2.0: Vegetation Phenology from Digital Camera Imagery, 2000-2018. ORNL DAAC, Oak Ridge, Tennessee, USA. https://doi.org/10.3334/ORNLDAAC/1674

GeoNEX Data Products

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 .

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

Coordinates for selected GeoNEX Pixel

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.

All download requests will be logged.

NDVI: Normalized Difference Vegetation Index

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

NIRv Near-Infrared Reflectance of vegetation

Resolution: 0.01° x 0.01° & 10 minutes

Coordinates for pixel:

DSR: Surface downward shortwave radiation

Resolution: 0.01° x 0.01° & Hourly

Coordinates for pixel:

LST: Land Surface Temperature

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.

US-RGo: Glenn County Organic Rice Farm

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Search Publications for this Site Publications Found: 0

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US-RGo: Glenn County Organic Rice Farm

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

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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.

US-RGo: Glenn County Organic Rice Farm

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Tower_team:
PI:	Michael R. Schuppenhauer mschuppenhauer@lbl.gov - Arva Intelligence Corp.
PI:	Sebastien C. Biraud SCBiraud@lbl.gov - Lawrence Berkeley National Laboratory
FluxContact:	Stephen W. Chan SWChan@lbl.gov - Lawrence Berkeley National Laboratory
Lat, Long:	39.6805, -122.0026
Elevation(m):	40
Network Affiliations:	AmeriFlux, Phenocam
Vegetation IGBP:	CRO (Croplands: Lands covered with temporary crops followed by harvest and a bare soil period (e.g., single and multiple cropping systems). Note that perennial woody crops will be classified as the appropriate forest or shrub land cover type.)
Climate Koeppen:	Csa (Mediterranean: mild with dry, hot summer)
Mean Annual Temp (°C):	16
Mean Annual Precip. (mm):	610
Flux Species Measured:	CO2, CH4, H2O, N2O
Years Data Collected:	2021 - Present
Years Data Available:	AmeriFlux BASE 2021 - 2023 Data Citation AmeriFlux FLUXNET 2021 - 2023 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	Organically farmed medium-grain brown rice field in Glenn County, California. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM ... Organically farmed medium-grain brown rice field in Glenn County, California. Part of a multi-year, ground-truthing field study under the DOE ARPA-E SMARTFARM project (https://arpa-e.energy.gov/news-and-media/blog-posts/smartfarm-changing-whats-possible-agriculture). Field check is approx. 7 ha in size (1,250 ft by 250 ft), part of a 75+ acre site in several checks with commercial rice over rice rotation on Tehama silt loam, management practices include winter cover crops and AWD. See More Show Less
URL:	—
Research Topics:	Sustainability of bioenergy crops and residues; Reduction of vegetation and fallow season GHG emissions
Acknowledgment:	This work was funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com/) in collaboration with Lawrence Berkeley National Laboratory (LBNL).

US-RGo: Glenn County Organic Rice Farm

US-RGo: Glenn County Organic Rice Farm

DOI(s) for citing US-RGo data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-RGo: Glenn County Organic Rice Farm

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US-RGo: Glenn County Organic Rice Farm

Illustrated NW View of US-RGo

Illustrated NW View of US-RGo

US-RGo Eddy Covariance Station

Site Picture for US-RGo

US-RGo: Glenn County Organic Rice Farm

US-RGo: Glenn County Organic Rice Farm

BADM for This Site

US-RGo: Glenn County Organic Rice Farm

No wind rose data is available at this time.