cropland

Agricultural crop and residue production by county - mature-market medium scenario

This dataset contains data on agricultural crop and residue production by county from 2022 to 2041. The agricultural crop in this dataset includes barley, biomass sorghum, corn, cotton, energy cane, eucalyptus, grain sorghum, hay, miscanthus, oats, pine, poplar, rice, soybean, switchgrass, wheat, and willow, and the agricultural residue includes barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al., 2024) for the mature-market medium scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use teh contact form and indicate the dataset by name.

Keywords
BT23
agriculture
agricultural production
Agricultural residues
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agri_crop.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural crop.
prod: This indicates the total production of the agricultural crop in biomass dry ton.
plnt: This indicates the total planted area in acres.
harv: This indicates the total harvested area in acres.
Agri_resd.csv is a comma-separated file that holds the following variables:
siml: This indicates the name of the scenario.
year: This indicates the year.
fips: This is a geographically defined variable corresponding to counties provided as a 5-digit code.
resource: This indicates the type of agricultural residue.
total_resd: This indicates the in-field production of residue excluding grain in biomass dry ton.
prod: This indicates the total production of harvested residue in the scenario in biomass dry ton.
harv: This indicates the total harvested area in acres.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of U.S. Renewable Carbon Resources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
https://doi.org/10.23720/BT2023/2282885
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BT23

Agricultural crop and residue production by county - near-term scenario

This dataset contains data on agricultural crop and residue production by county in 2041. The agricultural crops in this dataset include barley, corn, cotton, grain sorghum, hay, oats, rice, soybeans, and wheat. The agricultural residues include barley straw, corn stover, oats straw, sorghum stubble, and wheat straw. The dataset was obtained from the database of the BT23 (Davis et al.,2024) for the near-term scenario with biomass market prices of up to $70 per dry ton.

For access to this dataset, please use the contact form and indicate this dataset by name.

Keywords
BT23
agriculture
agricultural production
agricultural crop
crop
cropland
biomass
biomass feedstocks
feedstock production
County
Publication Date
Organization
DOE
Metadata
Agcrop.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
landsrce: This indicates the land source.

Agresid.csv is a file that holds the following variables:
fips: This indicates the geographically defined variable corresponding to counties in the form of a 5-digit code.
state: This indicates the abbreviation for the state name.
county: This indicates the county name.
state_name: This indicates the part of the fips which represents the state.
sqmi: This indicates the total area of the county in square miles including water.
usdaregion: This indicates the US Department of Agriculture defined region.
geog_src_name: This indicates the name of the source of the feedstock.
model_name: This indicates the model name which describes the acronym of the tool or dataset used to simulate feedstock supply.
class_name: This indicates the feedstock class name to denote land source or analysis source corresponding to the 2023 Billion-Ton report.
subclass_name: This indicates the feedstock subclass name.
resource_name: This indicates the feedstock resource name.
scenario_name: This indicates the scenario name as defined in the 2023 Billion-Ton report or other customized scenarios.
prc_ofr: This indicates the price offered.
harv: This indicates the harvested area.
prod_totl: This indicates the total amount of resource modeled as produced under the scenario simulation.
prod: This indicates the amount of resource modeled as produced under the scenario simulation.
produnit: This indicates the unit of production specified.
price: This indicates the price per unit of production.
Landsrce: This indicates the land source.
Lab
ORNL
Data Source
2023 Billion-Ton Report: An Assessment of the U.S. Renewable Carbon Sources
Bioenergy Category
Feedstock Production
Author(s)
Jin Wook Ro , Maggie R. Davis , Chad Hellwinckel
isPartOf parent DOI
10.23720/BT2023/2316171
Create a DOI (from OSTI) for this document
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OSTI DOI Released
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BT23

USDA CropScape Data Viewer

To provide easier access to geospatial satellite products, the U.S. Department of Agriculture's National Agricultural Statistics Service (NASS) today announced the launch of CropScape, a new cropland exploring service. CropScape provides data users access to a variety of new resources and information, including the 2010 cropland data layer (CDL) just released in conjunction withCropScape. 

This new service offers advanced tools such as interactive visualization, web-based data dissemination and geospatial queries and automated data delivery to systems such as Google Earth. 

“CropScape delivers data visualization tools directly into the hands of the agricultural community without the need for specialized expertise, GIS software or high-end computers,” said Mark Harris, NASS Research and Development Division director. “This information can be used for addressing issues related to agricultural sustainability, land cover monitoring, biodiversity and extreme events such as flooding, drought and hail storm assessment.”

NASS produced the 2010 CDL using satellite image observations at 30-meter (0.22 acres per pixel) resolution and collected from the Resourcesat-1 Advanced Wide Field Sensor (AWiFS) and Landsat Thematic Mapper. The collection of images was categorized using on-the-ground farm information including field location, crop type, elevation, tree canopy and urban infrastructure. All prior CDL products dating back to 1997 are also hosted by CropScape.

Keywords
cropland
landuse
URL
http://nassgeodata.gmu.edu/CropScape
Bioenergy Category
Feedstock Production

1997-2013 Cropland Data Layers

The USDA, NASS Cropland Data Layer (CDL) of the US for the growing seasons 1997 through 2013 are available using CropScape. Data for some states may not be available for one or more years.
 
 

Contact Phone
703-877-8000
Keywords
cropland
landcover
Usage Policy
The USDA, NASS Cropland Data Layer is provided to the public as is and is considered public domain and free to redistribute. The USDA, NASS does not warrant any conclusions drawn from these data.
URL
http://nassgeodata.gmu.edu/CropScape
Contact Email
HQ_RDD_GIB@nass.usda.gov
Contact Person
USDA, NASS, Spatial Analysis Research Section staff
Bioenergy Category
Supporting Data
Author(s)
USDA, National Agricultural Statistics Service (NASS)
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