US-UR8: Yellow Jacket - UCRB
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| Tower_team: | |
| PI: | Christopher Neale cneale@nebraska.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| AncContact: | Ivo Zution Goncalves izutiongoncalves2@unl.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| AncContact: | Randall Ritzema rritzema@nebraska.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| AncContact: | Sammy Akasheh sammy.akasheh@unl.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| DataManager: | Regiane de Carvalho Bispo rdecarvalhobispo2@unl.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| Technician: | Ashish Masih amasih2@unl.edu - Daugherty Water for Food Global Institute/University of Nebraska-Lincoln |
| Lat, Long: | 37.5405, -108.7390 |
| Elevation(m): | 2117.5 |
| Network Affiliations: | AmeriFlux |
| 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: | Cfb (Marine West Coast: mild with no dry season, warm summer) |
| Mean Annual Temp (°C): | 10 |
| Mean Annual Precip. (mm): | 388 |
| Flux Species Measured: | CO2, H, H2O |
| Years Data Collected: | 2024 - Present |
| Years Data Available: | AmeriFlux BASE 2024 Data Citation |
| Data Use Policy: | AmeriFlux Legacy Policy |
| Description: | This site is located in Yellow Jacket, Colorado, on a moderate slope. The area is irrigated using a center pivot system, with alfalfa being the dominant ... This site is located in Yellow Jacket, Colorado, on a moderate slope. The area is irrigated using a center pivot system, with alfalfa being the dominant vegetation. The region experiences a temperate climate, characterized by cool to mild temperatures throughout the year and substantial annual precipitation, creating favorable conditions for agricultural activities. See MoreShow Less |
| URL: | — |
| Research Topics: | Measurement of evapotranspiration in crops and ecosystems to provide data on water use and contribute to the validation of global evapotranspiration models. ... Measurement of evapotranspiration in crops and ecosystems to provide data on water use and contribute to the validation of global evapotranspiration models. The study covers different climate gradients and enhances data accuracy through corrections and technological tools. See MoreShow Less |
| Acknowledgment: | The funding for the establishment of this eddy covariance flux tower was provided by the Upper Colorado River Commission with additional support from the Daugherty Water for Food Global Institute at the University of Nebraska. |
US-UR8: Yellow Jacket - UCRB
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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-UR8 data
Data Use Policy: AmeriFlux Legacy Policy
- AmeriFlux BASE: https://doi.org/10.17190/AMF/2563533
Citation: C. U. Neale, A. Masih, R. de C. Bispo, R. S. Ritzema, I. Z. Goncalves, S. Akasheh (2025), AmeriFlux BASE US-UR8 Yellow Jacket - UCRB, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2563533
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-UR8: Yellow Jacket - UCRB
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
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This page displays the list of downloads of data for the site US-UR8.
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 |
|---|---|---|---|---|---|---|
| 2025-07-16 | Changming li | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Transpiration partition | 2 |
| 2025-07-14 | akash namdev | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | evaluating stressors | 1 |
| 2025-07-14 | ou shunshou | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | This project aims to develop a new global evapotranspiration (ET) model driven by satellite Solar-Induced Chlorophyll Fluorescence (SIF). The AmeriFlux dataset is critically required for model validation. We will use the site-level Latent Heat Flux (LE) measurements as ground-truth to assess the accuracy and robustness of our SIF-based ET estimates across diverse biomes. The data will enable us to evaluate model performance under various climatic conditions and benchmark it against existing products. We will fully comply with the AmeriFlux Legacy Data Policy, ensuring proper citation in all resulting publications. | 1 |
| 2025-07-13 | Zhenwu Xu | AmeriFlux BASE | 1-5 | Research - Remote sensing | modeling ET | 2 |
| 2025-07-10 | Sachiko Sueki | AmeriFlux BASE | 1-5 | Research - Remote sensing | Studying accuracy of models | 2 |
| 2025-06-22 | Guokai Liu | AmeriFlux BASE | 1-5 | Research - Remote sensing | The validation of land surface albedo | 3 |
| 2025-06-06 | Sean Brennan | AmeriFlux BASE | 1-5 | Research - Remote sensing | Research | 1 |
| 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 | 1 |
| 2025-06-04 | Serge2 Tuyambaze | AmeriFlux BASE | 1-5 | Research - Remote sensing | GPP Modeling | 1 |
| 2025-06-04 | Michael Goulden | AmeriFlux BASE | 1-5 | Research - Remote sensing | Exploring relationships between Landsat VIs and flux observations | 1 |
| 2025-05-25 | wenhan lv | AmeriFlux BASE | 1-5 | Research - Remote sensing | use to research | 1 |
| 2025-05-18 | Belachew Beyene Alem | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | I intended to use this data for my PhD research. | 2 |
| 2025-05-15 | Linjing Ren | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Compare the NEE data using the eddy covariance technique and chamber technique. | 2 |
| 2025-05-13 | Lei Ma | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | benchmark process-based models | 2 |
| 2025-05-09 | David Ketchum | AmeriFlux BASE | 1-5 | Research - Remote sensing | My name is David Ketchum, I''m a researcher at University of Montana, USA. I''m working on an application of remote sensing to agricultural field hydrology models, and I''m using eddy covariance data to validate my work. So far I have used USGS SSEBop over the conterminous United States, and the OpenET ensemble model over the western United States. Next, I''m using the NASA PT-JPL model over agricultural sites in several countries around the world. | 2 |
| 2025-05-07 | Yezhe Wang | AmeriFlux BASE | 1-5 | Research - Remote sensing | for my reserch | 1 |
| 2025-05-07 | Matthew Bandel | AmeriFlux BASE | 1-5 | Research - Remote sensing | modeling GPP using TEMPO data | 1 |
| 2025-05-07 | Shalini B | AmeriFlux BASE | 1-5 | Research - Other | I want sub hourly data of streamflow , precipitation and temperature | 1 |
| 2025-05-06 | Yang Junming | AmeriFlux BASE | 1-5 | Research - Remote sensing | To validation the ET model | 1 |
| 2025-05-06 | yonghua zhao | AmeriFlux BASE | 1-5 | Research - Land model/Earth system model | Comparative study | 1 |
| 2025-05-05 | deng zhuoying | AmeriFlux BASE | 1-5 | Research - Remote sensing | Study. | 1 |
| 2025-05-02 | Ali Radman | AmeriFlux BASE | 1-5 | Research - Remote sensing | As a PhD student in remote sensing, I intend to use valuable EC CH4 measurements collected by AMERIFLUX for research purposes. | 1 |
| 2025-05-02 | Regiane de Carvalho Bispo | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | . | 1 |
| Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
|---|---|---|---|---|---|---|
| 2025-07-16 | Changming li | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | Transpiration partition | 2 |
| 2025-07-14 | akash namdev | AmeriFlux BASE | 1-5 | Research - Multi-site synthesis | evaluating stressors | 1 |
| 2025-07-14 | ou shunshou | AmeriFlux BASE | 1-5 | Education (Teacher or Student) | This project aims to develop a new global evapotranspiration (ET) model driven by satellite Solar-Induced Chlorophyll Fluorescence (SIF). The AmeriFlux dataset is critically required for model validation. We will use the site-level Latent Heat Flux (LE) measurements as ground-truth to assess the accuracy and robustness of our SIF-based ET estimates across diverse biomes. The data will enable us to evaluate model performance under various climatic conditions and benchmark it against existing products. We will fully comply with the AmeriFlux Legacy Data Policy, ensuring proper citation in all resulting publications. | 1 |
| 2025-07-13 | Zhenwu Xu | AmeriFlux BASE | 1-5 | Research - Remote sensing | modeling ET | 2 |
| 2025-07-10 | Sachiko Sueki | AmeriFlux BASE | 1-5 | Research - Remote sensing | Studying accuracy of models | 2 |
| 2025-06-22 | Guokai Liu | AmeriFlux BASE | 1-5 | Research - Remote sensing | The validation of land surface albedo | 3 |
| 2025-06-06 | Sean Brennan | AmeriFlux BASE | 1-5 | Research - Remote sensing | Research | 1 |
| 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 | 1 |
| 2025-06-04 | Serge2 Tuyambaze | AmeriFlux BASE | 1-5 | Research - Remote sensing | GPP Modeling | 1 |
Showing 1 to 10 of 24 results
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US-UR8: Yellow Jacket - UCRB
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| AmeriFlux Images | Add Image |
US-UR8 General View of the Eddy Covariance System at the Yellow Jacket Site
Keywords: —
Location: New Mexico, United States
View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As
US-UR8: Yellow Jacket - UCRB
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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.
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 .
No PhenoCam data for this siteGeoNEX 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-UR8, 37.5405, -108.739.
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-UR8: Yellow Jacket - UCRB
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| AmeriFlux Publications | Add Publication |
US-UR8: Yellow Jacket - UCRB
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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.
- 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-UR8: Yellow Jacket - UCRB
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM