Total irrigation by crop in the Continental United States from 2008 to 2020
County-level irrigation water withdrawal by crop, year, and water source (surface/groundwater) for 20 crop groups across the Continental U.S. from 2008-2020.
doi.org
At a glance
- Region
- Global
- Coverage
- Global
- Access
- Free
- Category
- Research
- Last updated
- 2024
What's inside
- Groundwater
- Water Use
What you can do with it
Typical work that data of this type supports.
- 01
Trend hotspots
Find where water tables are falling year after year.
Because it has: Groundwater
- 02
Recharge planning
Site recharge structures and new borewells with evidence.
- 03
Irrigation scheduling
Decide when and how much to irrigate.
Where AI adds value
Ideas for machine learning and AI agents built on this kind of data.
- 01
Gap filling
Rebuild missing well readings from neighbours, rainfall and season.
- 02
Level forecasts
Forecast pre- and post-monsoon levels well by well.
- 03
Field-scale ET
Estimate crop water use per field by combining satellite and weather with ML.
Machine access and documentation
Data paper
Total irrigation by crop in the Continental United States from 2008 to 2020
Scientific Data 2024
Read the paperRelated water data
- A global dataset of average specific yield for soilsGlobal | Free
- A global dataset of surface water and groundwater salinity measurements (1980-2019)Global | Free
- Global Groundwater Information System (GGIS) - IGRACGlobal | Free
- Global monthly sectoral water use for 2010-2100 at 0.5° resolution across alternative futuresGlobal | Free
- GMIE: Global maximum irrigation extent and central pivot irrigation datasetGlobal | Free
- Gridded global dataset of industrial water use predicted using Random ForestGlobal | Free
Find more water data
Search and compare 1,900+ water data sources by region, type and access.