US-Si2: Staten Island Flooded
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| Tower_team: | |
| PI: | Brian Bergamaschi bbergama@usgs.gov - USGS |
| PI: | Lisamarie Windham-Myers lwindham-myers@usgs.gov - USGS |
| AncContact: | Ellen Stuart-Haentjens egoodrich-stuart@usgs.gov - USGS |
| Lat, Long: | 38.1758, -121.5167 |
| Elevation(m): | -3.8 |
| 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: | Csb (Mediterranean: mild with dry, warm summer) |
| Mean Annual Temp (°C): | 15 |
| Mean Annual Precip. (mm): | 328.1 |
| Flux Species Measured: | CO2, H, H2O, CH4 |
| Years Data Collected: | 2011 - 2013 |
| Years Data Available: | No data available |
| Data Use Policy: | AmeriFlux Legacy Policy |
| Description: | This site is located on a Delta peat island in a cornfield that is flooded during the non-growing season (beginning in October or November and ending in ... This site is located on a Delta peat island in a cornfield that is flooded during the non-growing season (beginning in October or November and ending in early February). Peat is roughly 2 meters thick in this area and soil organic matter ranges from 10 to 30%. Three soil types dominate this site: Ryde Clay Loam, Peltier Mucky Clay Loam, and Rindge Muck. Crop management was consistent for 25 years prior to and during the measurement period. The field was fertilized twice and irrigated twice during the growing season. See MoreShow Less |
| URL: | — |
| Research Topics: | This project aimed to quantify whether wintertime flooding slows soil oxidation and subsidence in the Delta without appreciably increasing global warming ... This project aimed to quantify whether wintertime flooding slows soil oxidation and subsidence in the Delta without appreciably increasing global warming potential. We compared, among other variables, carbon dioxide fluxes, methane fluxes, and the global warming potential of two cornfields: a site that underwent winter flooding (US-Si2) and a site that followed conventional fallowing treatment (US-Si1). See MoreShow Less |
| Acknowledgment: | We thank the California Energy Commission for grant support to conduct this research as well as support from the USGS Federal Matching Funds program. We thank The Nature Conservancy and Brent Tadman of Conservation Farms and Ranches for site access and logistical support. |
US-Si2: Staten Island Flooded
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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-Si2 data
Data Use Policy: AmeriFlux Legacy Policy
- No DOIs available for US-Si2
To cite BADM downloaded as a BIF file, use the publications listed below.
Publication(s) for citing site characterization
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US-Si2: Staten Island Flooded
- Overview
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This page displays the list of downloads of data for the site US-Si2.
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US-Si2: Staten Island Flooded
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US-Si2: Staten Island Flooded
- Overview
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- Remote Sensing Data
- MODIS
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- Publications
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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-Si2, 38.1758, -121.5167.
Click a square in the grid at left to display its data below.
Coordinates for selected GeoNEX Pixel
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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
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DSR: Surface downward shortwave radiation
Resolution: 0.01° x 0.01° & Hourly
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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-Si2: Staten Island Flooded
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US-Si2: Staten Island Flooded
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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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US-Si2: Staten Island Flooded
- Overview
- Windroses
- Data Citation
- Data Use Log
- Image Gallery
- Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
- Publications
- BADM