AR-Rom: Romano Mar Chiquita BA

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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 AR-Rom data

Data Use Policy: AmeriFlux Legacy Policy

AmeriFlux BASE: https://doi.org/10.17190/AMF/2315765
Citation: Maria Isabel Gassmann, Natalia Edith Tonti (2024), AmeriFlux BASE AR-Rom Romano Mar Chiquita BA, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2315765

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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AR-Rom: Romano Mar Chiquita BA

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AR-Rom: Romano Mar Chiquita BA

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Search Images for this Site Images found : 4

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Cows in Romano
**Description:**
Livestock from the site
Keywords: Livestock, grass, wetland, co2, nee
**Credit:** Maria Isabel Gassmann
**Site ID:** AR-Rom
**Location:** Argentina
**Image Date:** 2013
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** Request for permission

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To download, right-click photo (Mac: control-click) and choose Save Image As

Wetland Romano
**Description:**
Wetland from the site
Keywords: Wetland, co2, nee
**Credit:** Maria Isabel Gassmann
**Site ID:** AR-Rom
**Location:** Argentina
**Image Date:** 2013
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** Request for permission

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Romano grass
**Description:**
Grass from the site
Keywords: Grass, co2, nee
**Credit:** Maria Isabel Gassmann
**Site ID:** AR-Rom
**Location:** Argentina
**Image Date:** 2013
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** Request for permission

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

Flux tower
**Description:**
Flux tower located at the site
Keywords: —
**Credit:** Maria Isabel Gassmann
**Site ID:** AR-Rom
**Location:** Argentina
**Image Date:** 2013
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** Request for permission

View in Original Size
To download, right-click photo (Mac: control-click) and choose Save Image As

AR-Rom: Romano Mar Chiquita BA

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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.

Includes all pixels that have acceptable quality

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

Read more on how to cite these MODIS products. Data come from NASA’s MODIS instruments installed on satellites Terra and Aqua, which scan the entire Earth’s surface every one to two days.

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 .

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Beta: This AmeriFlux GeoNEX Products feature is in beta. If you spot any issues, please help us out by emailing geonex-feedback@lbl.gov with a description and/or screenshot of the issue. Thanks in advance!

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 .

Click a square in the grid at left to display its data below.

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NDVI: Normalized Difference Vegetation Index

Resolution: 0.01° x 0.01° & 10 minutes

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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

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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.

GeoNEX Surface Downward Solar Radiation (DSR):

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.

GeoNEX Land Surface Temperature (LST):

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.

AR-Rom: Romano Mar Chiquita BA

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Search Publications for this Site Publications Found: 2

AmeriFlux Publications

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Year	Publication
2021	Gassmann, M., Pérez, C., Tonti, N., Burek, A., Covi, M. (2021) The Impact Of Livestock Grazing On The Evapotranspiration-Vegetation Biomass Relationship In A Southern Hemisphere Salt Marsh, Buenos Aires (Argentina), International Journal Of Biometeorology, 65(6), 873-882. https://doi.org/https://doi.org/10.1007/s00484-020-02065-x
2018	Tonti, N. E., Gassmann, M. I., Pérez, C. F. (2018) First Results Of Energy And Mass Exchange In A Salt Marsh On Southeastern South America, Agricultural And Forest Meteorology, 263, 59-68. https://doi.org/10.1016/j.agrformet.2018.08.001

AR-Rom: Romano Mar Chiquita BA

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BADM for This Site

Access the Biological, Ancillary, Disturbance and Metadata (BADM) information and data for this site.

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AR-Rom: Romano Mar Chiquita BA

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Tower_team:
PI:	Maria Isabel Gassmann gassmann@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
PI:	Natalia Edith Tonti ntonti@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
DataManager:	Nahuel Ezequiel Bautista nbautista@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
Technician:	Claudio Pérez perez@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
Technician:	Lucía Curto lcurto@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
Technician:	Mauro Covi mcovi@at.fcen.uba.ar - Universidad de Buenos Aires (UBA)
Lat, Long:	-37.5508, -57.2972
Elevation(m):	1
Network Affiliations:	AmeriFlux
Vegetation IGBP:	WET (Permanent Wetlands: Lands with a permanent mixture of water and herbaceous or woody vegetation that cover extensive areas. The vegetation can be present in either salt, brackish, or fresh water)
Climate Koeppen:	Cfb (Marine West Coast: mild with no dry season, warm summer)
Mean Annual Temp (°C):	14
Mean Annual Precip. (mm):	926
Flux Species Measured:	CO2, H, H2O, Other
Years Data Collected:	2014 - 2015
Years Data Available:	AmeriFlux BASE 2014 - 2015 Data Citation
Data Use Policy:	AmeriFlux Legacy Policy
Description:	The site was at Mar Chiquita coastal lagoon, located in the southeast of Buenos Aires province, Argentina, in an agricultural establishment (“Antonio ... The site was at Mar Chiquita coastal lagoon, located in the southeast of Buenos Aires province, Argentina, in an agricultural establishment (“Antonio Romano S. A.”), whose main activity was cattle production. A flux tower was settled within the raised high marsh approximately 6 km from the sea and 2 km from a lagoon. The water body showed two hydrographic areas with marine and inland influence regulated by the sea tides and rainfall respectively. There were sandy dunes occupied by open vegetation composed of grasses and herb species. Physiognomy surrounding the measurement site was the characteristic evergreen grassy landscape with an average canopy height of 0.7 m and little phenological variation throughout the year. See More Show Less
URL:	—
Research Topics:	Flux partitioning, modelling and upscaling. Carbon balance
Acknowledgment:	This study was supported by the National Founds for Technical and Scientific Research (grant PICT 2010-0554), the National Council of Technical and Scientific Research (CONICET, grant PIP N° 11220130100347CO), and the University of Buenos Aires

AR-Rom: Romano Mar Chiquita BA

AR-Rom: Romano Mar Chiquita BA

DOI(s) for citing AR-Rom data

Publication(s) for citing site characterization

Acknowledgments

Resources

AR-Rom: Romano Mar Chiquita BA

Not Found

AR-Rom: Romano Mar Chiquita BA

Cows in Romano

Wetland Romano

Romano grass

Flux tower

AR-Rom: Romano Mar Chiquita BA

AR-Rom: Romano Mar Chiquita BA

BADM for This Site

AR-Rom: Romano Mar Chiquita BA

No wind rose data is available at this time.