US-RGR: Arva Ryan's Field

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Tower_team:
PI:	Michael R. Schuppenhauer schuppenhauer@berkeley.edu - Arva Intelligence Corp.
Technician:	Kyle Wilson k.wilson@arva.com - Arva Intelligence Corp.
Lat, Long:	34.4346, -91.6892
Elevation(m):	60
Network Affiliations:	AmeriFlux, Phenocam
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:	Cfa (Humid Subtropical: mild with no dry season, hot summer)
Mean Annual Temp (°C):	18.8
Mean Annual Precip. (mm):	1404
Flux Species Measured:	CO2, CH4, H2O, N2O
Years Data Collected:	2025 - Present
Years Data Available:	No data available
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	Commercially farmed corn-soy varieties field in Arkansas County, Arkansas.
URL:	—
Research Topics:	Sustainability of bioenergy crops and residues; Reduction of vegetation and fallow season GHG emissions
Acknowledgment:	Inititally funded through the U.S. Department of Energy, ARPA-E, under Cooperative Agreement DE-AR0001228 led by ARVA Intelligence Corp. (https://www.arvaintelligence.com/).

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US-RGR: Arva Ryan's Field

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Data Use Policy: AmeriFlux CC-BY-4.0 License

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US-RGR: Arva Ryan's Field

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US-RGR: Arva Ryan's Field

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Search Images for this Site Images found : 1

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US-RGR Installation
Keywords: CH4, N2O, TGA, SMARTFARM, LI-COR, Campbell Scientific, corn, soy
**Credit:** Michael Schuppenhauer
**Site ID:** US-RGR
**Location:** Arkansas, United States
**Image Date:** 2025/04/17
**Journal:** —
**Article Title:** —
**Copyright Permissions:** —
**Right to Use:** As long as credit is given

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US-RGR: Arva Ryan's Field

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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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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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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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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-RGR: Arva Ryan's Field

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US-RGR: Arva Ryan's Field

Overview
Windroses
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Remote Sensing Data
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US-RGR: Arva Ryan's Field

US-RGR: Arva Ryan's Field

DOI(s) for citing US-RGR data

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US-RGR: Arva Ryan's Field

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US-RGR: Arva Ryan's Field

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US-RGR: Arva Ryan's Field

US-RGR: Arva Ryan's Field

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US-RGR: Arva Ryan's Field

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