US-NP1: Business-As-Usual Management (mandanh5)

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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-NP1 data

Data Use Policy: AmeriFlux CC-BY-4.0 License

No DOIs available for US-NP1

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Publication(s) for citing site characterization

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US-NP1: Business-As-Usual Management (mandanh5)

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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.

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US-NP1: Business-As-Usual Management (mandanh5)

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US-NP1: Business-As-Usual Management (mandanh5)

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Remote Sensing Data
- MODIS
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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 .

No PhenoCam data for this site

GeoNEX Data Products

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

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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.

US-NP1: Business-As-Usual Management (mandanh5)

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US-NP1: Business-As-Usual Management (mandanh5)

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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)^*

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US-NP1: Business-As-Usual Management (mandanh5)

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Tower_team:
PI:	Craig Whippo craig.whippo@usda.gov - USDA ARS Northern Great Plains Research Laboratory
AncContact:	Mark Liebig mark.liebig@usda.gov - USDA ARS Northern Great Plains Research Laboratory
Lat, Long:	46.7756, -100.9510
Elevation(m):	593
Network Affiliations:	AmeriFlux, LTAR
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:	Bsh (Steppe: very cold winter)
Mean Annual Temp (°C):	5.4
Mean Annual Precip. (mm):	420
Flux Species Measured:	CO2, H, H2O
Years Data Collected:	2015 - Present
Years Data Available:	No data available
Data Use Policy:	AmeriFlux CC-BY-4.0 Policy¹
Description:	The field has been no-till, rainfed, and was planted with alfalfa in 2009-2013, see Saliendra et al 2018 https://doi.org/10.1002/ecs2.2147, corn in 2014, ... The field has been no-till, rainfed, and was planted with alfalfa in 2009-2013, see Saliendra et al 2018 https://doi.org/10.1002/ecs2.2147, corn in 2014, and sunflower in 2015. The LTAR Cropland Common Experiment started in 2016 with treatment for the site as "Business-As-Usual (BAU) or Prevailing Practice (PP)", i.e., no-till, rainfed, 3-year rotation of spring wheat-corn-soybean and management aligned with local farmers' practices, see Liebig et al 2022. https://doi.org/10.1002/agg2.20291 See More Show Less
URL:	https://www.ars.usda.gov/plains-area/mandan-nd/ngprl/
Research Topics:	Management, business-as-usual or prevailing practice, effects on eddy fluxes
Acknowledgment:	This research was a contribution from the Long-Term Agroecosystem Research (LTAR) network. LTAR is supported by the United States Department of Agriculture.

US-NP1: Business-As-Usual Management (mandanh5)

US-NP1: Business-As-Usual Management (mandanh5)

DOI(s) for citing US-NP1 data

Publication(s) for citing site characterization

Acknowledgments

Resources

US-NP1: Business-As-Usual Management (mandanh5)

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US-NP1: Business-As-Usual Management (mandanh5)

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US-NP1: Business-As-Usual Management (mandanh5)

US-NP1: Business-As-Usual Management (mandanh5)

BADM for This Site

US-NP1: Business-As-Usual Management (mandanh5)

No wind rose data is available at this time.