US-SHC: Sagehen Creek Field Station
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Tower_team: | |
PI: | Sebastian Wolf sewolf@ethz.ch - ETH Zurich |
Technician: | Dan Sayler sage_minion@berkeley.edu - University of California, Berkeley |
Lat, Long: | 39.4315, -120.2398 |
Elevation(m): | 1934 |
Network Affiliations: | AmeriFlux, Phenocam |
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: | Dsb (Warm Summer Continental: warm summer) |
Mean Annual Temp (°C): | 5.3 |
Mean Annual Precip. (mm): | 827 |
Flux Species Measured: | CO2, H, H2O |
Years Data Collected: | 2017 - Present |
Years Data Available: | AmeriFlux BASE 2017 - 2020 Data Citation |
Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
Description: | This tower is located at the Sagehen Creek Field Station of UC Berkeley. The 30m tower near the station has been used for meteorological measurements since ... This tower is located at the Sagehen Creek Field Station of UC Berkeley. The 30m tower near the station has been used for meteorological measurements since at least 2006 and EC flux measurements were started in late June 2017. The area is dominated by coniferous forest with patches of grassland in between. See MoreShow Less |
URL: | — |
Research Topics: | Seasonal dynamics, drought effects, biosphere-atmosphere interactions, flux partitioning, interannual variability |
Acknowledgment: | — |
- This site’s data can also be used under the more restrictive AmeriFlux Legacy Policy.
The AmeriFlux Legacy Policy must be followed if this site’s data are combined with data from sites that require the AmeriFlux Legacy Policy.




Copyright preference: As long as credit is given
US-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Use the information below for citation of this site. See the Data Policy page for more details.
DOI(s) for citing US-SHC 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-SHC data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/2567985
Citation: Sebastian Wolf (2025), AmeriFlux BASE US-SHC Sagehen Creek Field Station, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2567985
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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Resources
- AmeriFlux Logos & Acknowledgments
US-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM

This page displays the list of downloads of data for the site US-SHC.
Note: Results are the number of downloads to distinct data users. The Download Count column indicates the number of times the data user downloaded the data. The Version column refers to the version of the data product for the site that was downloaded by the data user.
Date | Name | Data Product | Version | Intended Use | Intended Use Description | Download Count |
---|---|---|---|---|---|---|
2025-06-09 | Alex Crookshanks | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Data-driven modeling, for training models and cross-validation [amerifluxr download] | 2 |
2025-06-09 | Lu Yang | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | ET | 5 |
2025-06-06 | zhang zhaoyang | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | analyze the impact of fire | 1 |
2025-06-05 | (unknown user_id) | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | study | 2 |
2025-06-04 | Sungyoon Kim | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | For land-atmosphere studies with AmeriFLUX | 1 |
2025-06-03 | Ulrike Egerer | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Compare to model results | 1 |
2025-06-03 | Wolfram Schlenker | AmeriFlux BASE | 1-5 | Research - Other | CO2 and agricultural yields | 3 |
2025-05-28 | Bokyung Son | AmeriFlux BASE | 1-5 | Research - Remote sensing | Developing remote sensing-based carbon flux data, validation of data-driven flux. | 1 |
2025-05-27 | yong liu | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | For model validation results | 2 |
2025-05-26 | luo jing | AmeriFlux BASE | 1-5 | Other | 毕业设计 | 1 |
2025-05-25 | wenhan lv | AmeriFlux BASE | 1-5 | Research - Remote sensing | use to research | 1 |
2025-05-25 | Zhang teng | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | It is used for conducting scientific research related to evapotranspiration | 2 |
2025-05-25 | wenhan lv | AmeriFlux BASE | 1-5 | Research - Remote sensing | use to research | 1 |
Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
---|---|---|---|---|---|---|
2025-06-09 | Alex Crookshanks | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Data-driven modeling, for training models and cross-validation [amerifluxr download] | 2 |
2025-06-09 | Lu Yang | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | ET | 5 |
2025-06-06 | zhang zhaoyang | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | analyze the impact of fire | 1 |
2025-06-05 | (unknown user_id) | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | study | 2 |
2025-06-04 | Sungyoon Kim | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | For land-atmosphere studies with AmeriFLUX | 1 |
2025-06-03 | Ulrike Egerer | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Compare to model results | 1 |
2025-06-03 | Wolfram Schlenker | AmeriFlux BASE | 1-5 | Research - Other | CO2 and agricultural yields | 3 |
2025-05-28 | Bokyung Son | AmeriFlux BASE | 1-5 | Research - Remote sensing | Developing remote sensing-based carbon flux data, validation of data-driven flux. | 1 |
2025-05-27 | yong liu | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | For model validation results | 2 |
2025-05-26 | luo jing | AmeriFlux BASE | 1-5 | Other | 毕业设计 | 1 |
Showing 1 to 10 of 13 results
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US-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Images | Add Image |

Sagehen Main Tower (US-SHC)
Keywords: —
Location: California, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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.
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
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-SHC:
Use the links below to explore camera images and interactive timeseries for these sites.
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/s41597-019-0229-9Camera 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
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-SHC, 39.4315, -120.2398.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
Lat: 39.4500 Long: -120.2600
US-SHC
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: Lat: 39.4500 Long: -120.2600
NIRv Near-Infrared Reflectance of vegetation
Resolution: 0.01° x 0.01° & 10 minutes
Coordinates for pixel: Lat: 39.4500 Long: -120.2600
DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
Coordinates for pixel: Lat: 39.4500 Long: -120.2600
LST: Land Surface Temperature
Resolution: 0.02° x 0.02° & Hourly
Coordinates for pixel: Lat: 39.4400 Long: -120.2600
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.
- 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.
- 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-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
AmeriFlux Publications | Add Publication |
Year | Publication |
---|---|
2024 | Wolf, S., Paul-Limoges, E., Sayler, D., Kirchner, J. W. (2024) Dynamics of evapotranspiration from concurrent above- and below-canopy flux measurements in a montane Sierra Nevada forest, Agricultural And Forest Meteorology, 346, 109864. https://doi.org/10.1016/j.agrformet.2023.109864 |
US-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
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)
- More BADM resources
* 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-SHC: Sagehen Creek Field Station
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM