US-Pon: Ponca City
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
| Tower_team: | |
| PI: | Andy Suyker asuyker1@unl.edu - University of Nebraska - Lincoln |
| AncContact: | Todd Schimelfenig TSchimelfenig1@unl.edu - |
| Lat, Long: | 36.7667, -97.1333 |
| Elevation(m): | 310 |
| 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: | Cfa (Humid Subtropical: mild with no dry season, hot summer) |
| Mean Annual Temp (°C): | 14.94 |
| Mean Annual Precip. (mm): | 866.34 |
| Flux Species Measured: | CO2 |
| Years Data Collected: | 1997 - 2001 |
| Years Data Available: | AmeriFlux BASE 1997 - 2000 Data Citation |
| Data Use Policy: | AmeriFlux Legacy Policy |
| Description: | The Ponca Winter Wheat site is a 65 ha rainfed wheat field in north central Oklahoma. Planting of winter wheat takes place annually in mid-fall. By late ... The Ponca Winter Wheat site is a 65 ha rainfed wheat field in north central Oklahoma. Planting of winter wheat takes place annually in mid-fall. By late May, most of the wheat reaches maturity, allowing for mid-summer harvest. See MoreShow Less |
| URL: | http://www.nrel.colostate.edu/projects/okflux/ |
| Research Topics: | The research and science objectives of the Ponca Winter Wheat site are as follows: 1) Examine the differences, similarities, and environmental controls ... The research and science objectives of the Ponca Winter Wheat site are as follows: 1) Examine the differences, similarities, and environmental controls in canopy photosynthetic characteristics of diffuse and direct photosynthetically active radiation; 2) Estimate the fraction of incident photosynthetically active radiation absorbed by the photosynthetic components of a plant canopy; 3) Use micrometeorological measurements of CO2 flux and incident radiation to estimate light response parameters from which canopy structure is deduced; 4) Test the ability of a land surface model, the SiB2, to accurately simulate the fluxes of carbon, water, and energy from a dry land wheat system. (Hanan et al., 2005, Gu et al., 2002, Hanan et al., 2002) See MoreShow Less |
| Acknowledgment: | — |
US-Pon: Ponca City
- 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-Pon data
Data Use Policy: AmeriFlux Legacy Policy
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246091
Citation: Shashi Verma (2016), AmeriFlux BASE US-Pon Ponca City, Ver. 2-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246091
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
- —
Acknowledgments
- —
Resources
- AmeriFlux Logos & Acknowledgments
US-Pon: Ponca City
- 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-Pon.
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 |
|---|
| Date | Name | Data Product | Vers. | Intended Use | Intended Use Description | Download Count |
|---|---|---|---|---|---|---|
Showing 0 to 0 of 0 results
Not Found
Uh Oh. Something is missing. Try double checking the URL and try again.
US-Pon: Ponca City
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
| AmeriFlux Images | Add Image |
No photos found matching your search criteria. Check back soon!
US-Pon: Ponca City
- 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 .
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-Pon, 36.7667, -97.1333.
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.
- 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-Pon: Ponca City
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
| AmeriFlux Publications | Add Publication |
| Year | Publication |
|---|---|
| 2021 | Chu, H., Luo, X., Ouyang, Z., Chan, W. S., Dengel, S., Biraud, S. C., Torn, M. S., Metzger, S., Kumar, J., Arain, M. A., Arkebauer, T. J., Baldocchi, D., Bernacchi, C., Billesbach, D., Black, T. A., Blanken, P. D., Bohrer, G., Bracho, R., Brown, S., Brunsell, N. A., Chen, J., Chen, X., Clark, K., Desai, A. R., Duman, T., Durden, D., Fares, S., Forbrich, I., Gamon, J. A., Gough, C. M., Griffis, T., Helbig, M., Hollinger, D., Humphreys, E., Ikawa, H., Iwata, H., Ju, Y., Knowles, J. F., Knox, S. H., Kobayashi, H., Kolb, T., Law, B., Lee, X., Litvak, M., Liu, H., Munger, J. W., Noormets, A., Novick, K., Oberbauer, S. F., Oechel, W., Oikawa, P., Papuga, S. A., Pendall, E., Prajapati, P., Prueger, J., Quinton, W. L., Richardson, A. D., Russell, E. S., Scott, R. L., Starr, G., Staebler, R., Stoy, P. C., Stuart-Haëntjens, E., Sonnentag, O., Sullivan, R. C., Suyker, A., Ueyama, M., Vargas, R., Wood, J. D., Zona, D. (2021) Representativeness Of Eddy-Covariance Flux Footprints For Areas Surrounding Ameriflux Sites, Agricultural And Forest Meteorology, 301-302, 108350. https://doi.org/10.1016/j.agrformet.2021.108350 |
| 2017 | Lu, Y., Williams, I. N., Bagley, J. E., Torn, M. S., Kueppers, L. M. (2017) Representing Winter Wheat In The Community Land Model (Version 4.5), Geoscientific Model Development, 10(5), 1873-1888. https://doi.org/10.5194/gmd-10-1873-2017 |
| 2005 | Hanan, N. P., Berry, J. A., Verma, S. B., Walter-Shea, E. A., Suyker, A. E., Burba, G. G., Denning, A. S. (2005) Testing A Model Of CO2, Water And Energy Exchange In Great Plains Tallgrass Prairie And Wheat Ecosystems, Agricultural And Forest Meteorology, 131(3-4), 162-179. https://doi.org/10.1016/j.agrformet.2005.05.009 |
| 2002 | Hanan, N. P., Burba, G., Verma, S. B., Berry, J. A., Suyker, A., Walter-Shea, E. A. (2002) Inversion Of Net Ecosystem CO2 Flux Measurements For Estimation Of Canopy PAR Absorption, Global Change Biology, 8(6), 563-574. https://doi.org/10.1046/j.1365-2486.2002.00488.x |
US-Pon: Ponca City
- 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-Pon: Ponca City
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
Wind Roses
Wind Speed (m/s)
Navigation
- Wind Speed Scale: Per Site
- Wind Direction Scale (%): Per Site
- Wind Speed Scale: Non-Linear
- Wind Direction Scale (%): AmeriFlux