US-Ced: Cedar Bridge
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
| Tower_team: | |
| PI: | Andrew Ouimette Andrew.Ouimette@usda.gov - USDA Forest Service |
| PI: | Michael R. Gallagher michael.r.gallagher@usda.gov - USDA Forest Service |
| FluxContact: | Roel Alfredo Ruzol roel.ruzol@maine.edu - University of Maine |
| Technician: | Kevin Brown kevin.brown3@usda.gov - USDA Forest Service |
| Lat, Long: | 39.8379, -74.3791 |
| Elevation(m): | 58 |
| Network Affiliations: | AmeriFlux |
| Vegetation IGBP: | CSH (Closed Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover >60%. The shrub foliage can be either evergreen or deciduous.) |
| Climate Koeppen: | Cfa (Humid Subtropical: mild with no dry season, hot summer) |
| Mean Annual Temp (°C): | 11.04 |
| Mean Annual Precip. (mm): | 1138 |
| Flux Species Measured: | CO2, H, H2O |
| Years Data Collected: | 2005 - Present |
| Years Data Available: | AmeriFlux BASE 2005 - 2014 Data Citation |
| Data Use Policy: | AmeriFlux CC-BY-4.0 Policy1 |
| Description: | Wildfires and prescribed fires are a common occurrence in the NJ Pinelands. Prior to a 1995 nonstand replacing wildfire, the stand was last burned in ... Wildfires and prescribed fires are a common occurrence in the NJ Pinelands. Prior to a 1995 nonstand replacing wildfire, the stand was last burned in the very large wildfire in 1963. Plow lines were installed for fire control in December of 2007, followed by a prescribed burns in 2008 and 2013, conducted by the New Jersey Forest Fire Service. Pine looper defoliated the stand in 1998, and Gypsy moth defoliated the understory and deciduos oaks in 2007. Pitch Pines are largely unaffected by defoliation by Gypsy moth. See MoreShow Less |
| URL: | — |
| Research Topics: | 1) Impact of fire management activities on stand carbon dynamics, 2) Flux measurements and smoke emissions during prescribed burns, 3) Comparision of biometric, ... 1) Impact of fire management activities on stand carbon dynamics, 2) Flux measurements and smoke emissions during prescribed burns, 3) Comparision of biometric, remotely sensed (LiDAR), and flux-based measurements of stand carbon dynamics. See MoreShow Less |
| 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.
US-Ced: Cedar Bridge
- 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-Ced 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-Ced data are combined with data from sites that require the AmeriFlux Legacy Policy.
- AmeriFlux BASE: https://doi.org/10.17190/AMF/1246043
Citation: Ken Clark (2016), AmeriFlux BASE US-Ced Cedar Bridge, Ver. 7-1, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/1246043
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-Ced: Cedar Bridge
- 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-Ced.
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-Ced: Cedar Bridge
- 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-Ced: Cedar Bridge
- 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-Ced, 39.8379, -74.3791.
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-Ced: Cedar Bridge
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM
| AmeriFlux Publications | Add Publication |
| Year | Publication |
|---|---|
| 2022 | Clark, K. L., Aoki, C., Ayres, M., Kabrick, J., Gallagher, M. R. (2022) Insect Infestations And The Persistence And Functioning Of Oak-Pine Mixedwood Forests In The Mid-Atlantic Region, USA, Plos One, 17(5), e0265955. https://doi.org/10.1371/journal.pone.0265955 |
| 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 |
| 2020 | Clark, K. L., Heilman, W. E., Skowronski, N. S., Gallagher, M. R., Mueller, E., Hadden, R. M., Simeoni, A. (2020) Fire Behavior, Fuel Consumption, And Turbulence And Energy Exchange During Prescribed Fires In Pitch Pine Forests, Atmosphere, 11(3), 25. https://doi.org/10.3390/atmos11030242 |
| 2020 | Hannun, R. A., Wolfe, G. M., Kawa, S. R., Hanisco, T. F., Newman, P. A., Alfieri, J. G., Barrick, J., Clark, K. L., DiGangi, J. P., Diskin, G. S., King, J., Kustas, W. P., Mitra, B., Noormets, A., Nowak, J. B., Thornhill, K. L., Vargas, R. (2020) Spatial Heterogeneity In Co2, Ch4, And Energy Fluxes: Insights From Airborne Eddy Covariance Measurements Over The Mid-Atlantic Region, Environmental Research Letters, 15(3), 035008. https://doi.org/10.1088/1748-9326/ab7391 |
| 2018 | Clark, K., Renninger, H., Skowronski, N., Gallagher, M., Schäfer, K. (2018) Decadal-Scale Reduction In Forest Net Ecosystem Production Following Insect Defoliation Contrasts With Short-Term Impacts Of Prescribed Fires, Forests, 9(3), 145. https://doi.org/doi:10.3390/f9030145 |
| 2018 | Chu, H., Baldocchi, D. D., Poindexter, C., Abraha, M., Desai, A. R., Bohrer, G., Arain, M. A., Griffis, T., Blanken, P. D., O'Halloran, T. L., Thomas, R. Q., Zhang, Q., Burns, S. P., Frank, J. M., Christian, D., Brown, S., Black, T. A., Gough, C. M., Law, B. E., Lee, X., Chen, J., Reed, D. E., Massman, W. J., Clark, K., Hatfield, J., Prueger, J., Bracho, R., Baker, J. M., Martin, T. A. (2018) Temporal Dynamics Of Aerodynamic Canopy Height Derived From Eddy Covariance Momentum Flux Data Across North American Flux Networks, Geophysical Research Letters, 45, 9275–9287. https://doi.org/10.1029/2018GL079306 |
| 2016 | Wolf, S., Keenan, T.F., Fisher, J.B., Baldocchi, D.D., Desai, A.R., Richardson, A.D., Scott, R.L., Law, B.E., Litvak, M.E., Brunsell, N.A., Peters, W., van der Laan-Luijkx, I.T. (2016) Warm spring reduced carbon cycle impact of the 2012 US summer drought, Proceedings of the National Academy of Sciences, 113(21), 5880-5885. https://doi.org/10.1073/pnas.1519620113 |
| 2016 | Zscheischler, J., Fatichi, S., Wolf, S., Blanken, P., Bohrer, G., Clark, K., Desai, A., Hollinger, D., Keenan, T., Novick, K.A., Seneviratne, S.I. (2016) Short-term favorable weather conditions are an important control of interannual variability in carbon and water fluxes, Journal of Geophysical Research - Biogeosciences, 121(8), 2186-2198. https://doi.org/10.1002/2016JG003503 |
| 2014 | Clark, K. L., Skowronski, N., Renninger, H., Scheller, R. (2014) Climate Change And Fire Management In The Mid-Atlantic Region, Forest Ecology And Management, 327, 306-315. https://doi.org/10.1016/j.foreco.2013.09.049 |
| 2012 | Clark, K. L., Skowronski, N., Gallagher, M., Renninger, H., Schäfer, K. (2012) Effects Of Invasive Insects And Fire On Forest Energy Exchange And Evapotranspiration In The New Jersey Pinelands, Agricultural And Forest Meteorology, 166-167, 50-61. https://doi.org/10.1016/j.agrformet.2012.07.007 |
| 2011 | Skowronski, N. S., Clark, K. L., Duveneck, M., Hom, J. (2011) Three-Dimensional Canopy Fuel Loading Predicted Using Upward And Downward Sensing LiDAR Systems, Remote Sensing Of Environment, 115(2), 703-714. https://doi.org/10.1016/j.rse.2010.10.012 |
| 2010 | Clark, K. L., Skowronski, N., Hom, J. (2010) Invasive Insects Impact Forest Carbon Dynamics, Global Change Biology, 16(1), 88-101. https://doi.org/10.1111/j.1365-2486.2009.01983.x |
| 2007 | SKOWRONSKI, N., CLARK, K., NELSON, R., HOM, J., PATTERSON, M. (2007) Remotely Sensed Measurements Of Forest Structure And Fuel Loads In The Pinelands Of New Jersey, Remote Sensing Of Environment, 108(2), 123-129. https://doi.org/10.1016/j.rse.2006.09.032 |
US-Ced: Cedar Bridge
- 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-Ced: Cedar Bridge
- 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