MX-BRN: Bernal

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 MX-BRN data

Data Use Policy: AmeriFlux Legacy Policy

No DOIs available for MX-BRN

To cite BADM downloaded as a BIF file, use the publications listed below.

Publication(s) for citing site characterization

—

Acknowledgments

—

Resources

AmeriFlux Logos & Acknowledgments

MX-BRN: Bernal

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 {{siteId}}.

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.

Year Range

Showing {{startItem + 1}} to {{(startItem + items) > filtered.length ? filtered.length : (startItem + items)}} of {{filtered.length}} results Showing 0 to 0 of 0 results

Products :

All

';

Site Team View

Items Per Page:

Date	Name	Data Product	Version	Intended Use	Intended Use Description	Download Count
{{dlObject.timeStamp}}	{{dlObject.displayName}}	{{displayProduct(dlObject.dataProduct)}}	{{dlObject.version}}	{{dlObject.intendedUse}}	{{dlObject.comment}}	{{dlObject.downloadCounter}}
No results to display

Date	Name	Data Product	Vers.	Intended Use	Intended Use Description	Download Count
{{dlObject.timeStamp}}	{{dlObject.displayName}}	{{displayProduct(dlObject.dataProduct)}}	{{dlObject.version}}	{{dlObject.intendedUse}}	{{dlObject.comment}}	{{dlObject.downloadCounter}}

Showing {{startItem + 1}} to {{(startItem + items) > filtered.length ? filtered.length : (startItem + items)}} of {{filtered.length}} results

Showing 0 to 0 of 0 results

Items Per Page:

MX-BRN: Bernal

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
Publications
BADM

Search Images for this Site Images found : 0

AmeriFlux Images

Add Image

No photos found matching your search criteria. Check back soon!

MX-BRN: Bernal

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.

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 .

No PhenoCam data for this site

GeoNEX Data Products

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.

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.

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.

MX-BRN: Bernal

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
Publications
BADM

Search Publications for this Site Publications Found: 0

AmeriFlux Publications

Add Publication

MX-BRN: Bernal

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.

MX-BRN: Bernal

Overview
Windroses
Data Citation
Data Use Log
Image Gallery
Remote Sensing Data
- MODIS
- PhenoCam
- GeoNEX
Publications
BADM

Tower_team:
PI:	Aurelio Guevara-Escobar guevara@uaq.mx - Universidad Autonoma de Queretaro
AncContact:	Enrique González-Sosa egs@uaq.mx - Universidad Autonoma de Queretaro
BADMContact:	Mónica Cervantes-Jiménez monica.cervantes@uaq.mx - Universidad Autonoma de Queretaro
Technician:	Carlos Alberto Mastachi-Loza mastachi@uaemex.mx - Universidad Autonoma de Queretaro
Lat, Long:	20.7168, -99.9413
Elevation(m):	2050
Network Affiliations:	AmeriFlux, MexFlux
Vegetation IGBP:	OSH (Open Shrublands: Lands with woody vegetation less than 2 meters tall and with shrub canopy cover between 10-60%. The shrub foliage can be either evergreen or deciduous.)
Climate Koeppen:	Bsk (Steppe: warm winter)
Mean Annual Temp (°C):	17.1
Mean Annual Precip. (mm):	476
Flux Species Measured:	CO2, H2O
Years Data Collected:	2017 - 2018
Years Data Available:	No data available
Data Use Policy:	AmeriFlux Legacy Policy
Description:	The study site of Bernal is located at N 20,717, W 99,941 and 2 050 m a.s.l. in the municipality of Ezequiel Montes in Querétaro, México. The climate ... The study site of Bernal is located at N 20,717, W 99,941 and 2 050 m a.s.l. in the municipality of Ezequiel Montes in Querétaro, México. The climate is arid with summer rains (BSk), mean annual rainfall is 476 mm and mean annual temperature is 17.1 °C (CICESE, 2015). Prevailing wind is from the east and north-east. The terrain is mostly flat; most grades are below 2%. The soil has a clay loam texture are Vertisols with abundant sub rounded basaltic stones, without rocky outcrops, soil depth is greater than 0.6 m. The vegetation is less than 2 m in height with an overgrazed herbaceous stratum. The vegetation corresponded to secondary scrub with the dominant genera Acacia, Prosopis and different Cacti. See More Show Less
URL:	—
Research Topics:	—
Acknowledgment:	—

MX-BRN: Bernal

MX-BRN: Bernal

DOI(s) for citing MX-BRN data

Publication(s) for citing site characterization

Acknowledgments

Resources

MX-BRN: Bernal

Not Found

MX-BRN: Bernal

No photos found matching your search criteria. Check back soon!

MX-BRN: Bernal

MX-BRN: Bernal

BADM for This Site

MX-BRN: Bernal

No wind rose data is available at this time.