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  3. Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics

Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics

Dates

Publication Date
Start Date
2019-04-30
End Date
2021-04-22

Citation

Jennewein, J., Lamb, B., Hively, W.D., Thieme, A., and Mirsky, S., 2022, Winter cover crop biomass sampling at the Beltsville Agricultural Research Center, 2019-2021, with corresponding Sentinel-1 and Sentinel-2 derived indices and metrics: U.S. Geological Survey data release, https://doi.org/10.5066/P9ASSF1T.

Summary

This data release contains in situ biomass samples collected from cereal grain winter cover crop fields at the USDA-ARS Beltsville Agricultural Research Center, Beltsville, MD, in the winters of 2019-20 and 2020-21. It also contains corresponding spectral reflectance and radar data acquired from the Sentinel-2 and Sentinel-1 satellite platforms on dates proximal to the biomass collection. Data are contained in a single csv file titled "BARC_2019-2021_WCC_dataset"

Contacts

Point of Contact :
Wells D Hively
Originator :
Jyoti Jennwein, Brian T Lamb, Wells D Hively, Alison Thieme, Steven Mirsky
Metadata Contact :
Wells D Hively
Publisher :
U.S. Geological Survey
Distributor :
U.S. Geological Survey - ScienceBase
SDC Data Owner :
Lower Mississippi-Gulf Water Science Center
USGS Mission Area :
Core Science Systems

Attached Files

Click on title to download individual files attached to this item.

BARCCoverCrop_Metatdata_2019_2021.xml
“xml containing the metadata”
Original FGDC Metadata
View 		34.21 KB application/fgdc+xml
BARC_2019-2021_WCC_Dataset.csv
“csv containing all data in the Data Release” 		314.62 KB text/csv

Purpose

The data were used to support a journal article submitted to Remote Sensing journal, titled "Integration of satellite-based optical and synthetic aperture radar imagery to estimate winter cover crop performance in cereal grasses," https://doi.org/10.3390/rs14092077. The investigation explored the relationships between vegetated cover, vegetative biomass, and satellite reflectance indices for the purpose of assessing winter cover crop performance to support adaptive management of farm production and conservation management programs.

Rights

No restrictions on data use

Map

Spatial Services

ScienceBase WMS

Communities

  • USGS Data Release Products
  • USGS Lower Mississippi-Gulf Water Science Center

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Additional Information

Identifiers

Type Scheme Key
DOI https://www.sciencebase.gov/vocab/category/item/identifier doi:10.5066/P9ASSF1T

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