US-LA3: Barataria Bay Saline Marsh

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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-LA3 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.
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AmeriFlux BASE: https://doi.org/10.17190/AMF/2229156
Citation: Eric Ward, Sergio Merino, Camille Stagg, Ken Krauss (2023), AmeriFlux BASE US-LA3 Barataria Bay Saline Marsh, Ver. 1-5, AmeriFlux AMP, (Dataset). https://doi.org/10.17190/AMF/2229156

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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US-LA3: Barataria Bay Saline Marsh

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US-LA3: Barataria Bay Saline Marsh

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US-LA3
Keywords: —
**Credit:** Melinda Martinez
**Site ID:** US-LA3
**Location:** United States
**Image Date:** 2023/04/27
**Journal:** —
**Article Title:** —
**Copyright Permissions:** Contact owner
**Right to Use:** Request for permission

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US-LA3: Barataria Bay Saline Marsh

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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.

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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 .

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NDVI: Normalized Difference Vegetation Index

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NIRv Near-Infrared Reflectance of vegetation

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DSR: Surface downward shortwave radiation

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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.

US-LA3: Barataria Bay Saline Marsh

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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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US-LA3: Barataria Bay Saline Marsh

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Tower_team:
PI:	Eric Ward ericward@umd.edu - University of Maryland
PI:	Melinda Martinez melindamartinez@usgs.gov - US Geological Survey
DataManager:	Sergio Merino smerino@usgs.gov - USGS-Wetland and Aquatic Research Center
Lat, Long:	29.4936, -89.9153
Elevation(m):	0.2
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:	Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C):	20.9
Mean Annual Precip. (mm):	1623
Flux Species Measured:	CO2, CH4, H2O
Years Data Collected:	2019 - Present
Years Data Available:	AmeriFlux BASE 2019 - 2022 Data Citation
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	Saline marsh, 20-40% organic matter, microtidal, dominated by Spartina alterniflora + Juncus roemarianus, patchy open water area
URL:	—
Research Topics:	Annual carbon and water fluxes, chamber/EC comparison
Acknowledgment:	Funding for this research was provided by the USGS South Central Climate Adaptation Science Center, USGS LandCarbon Program and USGS Ecosystems Mission Area. We thank Apache Louisiana Minerals for allowing us to install studies on their lands. Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.

US-LA3: Barataria Bay Saline Marsh

US-LA3: Barataria Bay Saline Marsh

DOI(s) for citing US-LA3 data

Publication(s) for citing site characterization

Acknowledgments

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US-LA3: Barataria Bay Saline Marsh

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US-LA3: Barataria Bay Saline Marsh

US-LA3

US-LA3: Barataria Bay Saline Marsh

US-LA3: Barataria Bay Saline Marsh

BADM for This Site

US-LA3: Barataria Bay Saline Marsh

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