BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

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MODIS NDVI

The time series shows the 16-day Normalized Difference Vegetation Index (NDVI) average from the MOD13Q1 data product.
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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

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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.

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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

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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.

BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

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Tower_team:
PI:	Alessandro Araujo alessandro.araujo@embrapa.br - Brazilian Agricultural Research Corporation (Embrapa Eastern Amazon)
AncContact:	Antonio Manzi antonio.manzi@inpe.br - National Institute for Space Research (INPE)
AncContact:	Celso von Randow celso.vonrandow@inpe.br - National Institute for Space Research (INPE), Earth System Science Center (CCST)
AncContact:	Javier Tomassela javier.tomasella@inpe.br - National Institute for Space Research (INPE), National Center for Monitoring and Natural Disaster Alerts (Cemaden)
AncContact:	Marta Sá martasa.inpa@gmail.com - National Institute for Amazonian Research (INPA)
AncContact:	Rita von Randow rita.vonrandow@gmail.com - State College of Technology (FATEC-SP)
DataManager:	Paulo Ricardo Teixeira paulo.ricardo.teixeira@gmail.com - National Institute for Amazonian Research (INPA)
Technician:	Antonio Huxley ahuxley16@gmail.com - National Institute for Amazonian Research (INPA)
Technician:	Daniel Massaki Osawa qualidadesan@gmail.com - National Institute for Amazonian Research (INPA)
Technician:	Flávio de Carvalho Magina flavio.magina@inpe.br - National Institute for Space Research (INPE)
Technician:	Hermes Xavier hermes@inpa.gov.br - National Institute for Amazonian Research (INPA)
Technician:	Jailson da Mata jailson.mata97@gmail.com - National Institute for Amazonian Research (INPA)
Technician:	Leonardo Ramos de Oliveira loliveira@inpa.gov.br - National Institute for Amazonian Research (INPA)
Technician:	Marcos Alexandre Bolson mbolson@inpa.gov.br - National Institute for Amazonian Research (INPA)
Technician:	Thiago Xavier thiagolimaxavier2020@gmail.com - National Institute for Amazonian Research (INPA)
Technician:	Thomé Aquino aquino246@gmail.com - National Institute for Amazonian Research (INPA)
Lat, Long:	-2.3907, -59.8835
Elevation(m):	147
Network Affiliations:	AmeriFlux, LBA
Vegetation IGBP:	CVM (Cropland/Natural Vegetation Mosaics: Lands with a mosaic of croplands, forest, shrublands, and grasslands in which no one component comprises more than 60% of the landscape)
Climate Koeppen:	Af (Tropical rain forest)
Mean Annual Temp (°C):	29
Mean Annual Precip. (mm):	2792
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2008 - 2018
Years Data Available:	No data available
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	The BR-Ma3, ZF3 tower, is deployed in a area from the Biological Dynamics of Forest Fragments Project (PDBFF, the portuguese acronym) in the city of Rio ... The BR-Ma3, ZF3 tower, is deployed in a area from the Biological Dynamics of Forest Fragments Project (PDBFF, the portuguese acronym) in the city of Rio Preto da Eva (km 41 of BR-174), 64 km north of Manaus. BR-Ma3 is covered by forest fragment , pasture (Brachiaria humidicola) and secondary forest growth (resulted from an abandoned degraded pasture). See More Show Less
URL:	—
Research Topics:	—
Acknowledgment:	—

BR-Ma3: ZF3, Colosso farm

BR-Ma3: ZF3, Colosso farm

DOI(s) for citing BR-Ma3 data

Publication(s) for citing site characterization

Acknowledgments

Resources

BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

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BR-Ma3: ZF3, Colosso farm

BR-Ma3: ZF3, Colosso farm

BADM for This Site

BR-Ma3: ZF3, Colosso farm

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